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Marker-assisted forward and backcross breeding for improvement of elite Indian rice variety Naveen for multiple biotic and abiotic stress tolerance

  • Perumalla Janaki Ramayya ,

    Contributed equally to this work with: Perumalla Janaki Ramayya, Vishnu Prasanth Vinukonda

    Roles Data curation, Formal analysis, Investigation, Methodology, Writing – original draft

    Affiliation International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India

  • Vishnu Prasanth Vinukonda ,

    Contributed equally to this work with: Perumalla Janaki Ramayya, Vishnu Prasanth Vinukonda

    Roles Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft

    Affiliation International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India

  • Uma Maheshwar Singh,

    Roles Investigation, Methodology

    Affiliations International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India, International Rice Research Institute, South Asia Regional Centre (ISARC), Varanasi, India

  • Shamshad Alam,

    Roles Investigation, Methodology

    Affiliation International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India

  • Challa Venkateshwarlu,

    Roles Investigation, Methodology

    Affiliation International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India

  • Abhilash Kumar Vipparla,

    Roles Investigation, Methodology

    Affiliation International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India

  • Shilpi Dixit,

    Roles Investigation, Methodology

    Affiliation International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India

  • Shailesh Yadav,

    Roles Investigation, Methodology

    Affiliation International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India

  • Ragavendran Abbai,

    Roles Investigation, Methodology

    Affiliation Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany

  • Jyothi Badri,

    Roles Investigation, Methodology

    Affiliation ICAR-Indian Institute of Rice Research (IIRR), Rajendra Nagar, Hyderabad, India

  • Ram T.,

    Roles Investigation, Methodology

    Affiliation ICAR-Indian Institute of Rice Research (IIRR), Rajendra Nagar, Hyderabad, India

  • Ayyagari Phani Padmakumari,

    Roles Investigation, Methodology

    Affiliation ICAR-Indian Institute of Rice Research (IIRR), Rajendra Nagar, Hyderabad, India

  • Vikas Kumar Singh,

    Roles Conceptualization, Data curation, Project administration, Resources, Supervision, Writing – review & editing

    Affiliation International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India

  • Arvind Kumar

    Roles Conceptualization, Funding acquisition, Project administration, Supervision, Writing – review & editing

    arvind.kumar@cgiar.org

    Affiliations International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India, International Rice Research Institute, South Asia Regional Centre (ISARC), Varanasi, India

Abstract

The elite Indian rice variety, Naveen is highly susceptible to major biotic and abiotic stresses such as blast, bacterial blight (BB), gall midge (GM) and drought which limit its productivity in rainfed areas. In the present study, a combined approach of marker-assisted forward (MAFB) and back cross (MABC) breeding was followed to introgress three major genes, viz., Pi9 for blast, Xa21 for bacterial blight (BB), and Gm8 for gall midge (GM) and three major QTLs, viz., qDTY1.1, qDTY2.2 and qDTY4.1 conferring increased yield under drought in the background of Naveen. At each stage of advancement, gene-based/linked markers were used for the foreground selection of biotic and abiotic stress tolerant genes/QTLs. Intensive phenotype-based selections were performed in the field for identification of lines with high level of resistance against blast, BB, GM and drought tolerance without yield penalty under non-stress situation. A set of 8 MAFB lines and 12 MABC lines with 3 to 6 genes/QTLs and possessing resistance/tolerance against biotic stresses and reproductive stage drought stress with better yield performance compared to Naveen were developed. Lines developed through combined MAFB and MABC performed better than lines developed only through MAFB. This study exemplifies the utility of the combined approach of marker-assisted forward and backcrosses breeding for targeted improvement of multiple biotic and abiotic stress resistance in the background of popular mega varieties.

Introduction

Rice (Oryza sativa L.) is the principal food crop of the world. More than one-third of the world’s population and half of India’s population relied on rice as their primary calorie intake. It is estimated that, about 135–140 million tons of rice needs to be produced in India by 2025 to keep pace with the increasing population [1]. The decrease in the area of cultivable land, water scarcity, emergence of new diseases and pests and change in climatic conditions causing a serious threat to rice production. The ever-changing climatic factors found to expand the host range of pathogens with increased chances of the occurrence of simultaneous stresses on the plant. Rice varieties that can tolerate independent stresses may not necessarily tolerate the simultaneous occurrence of two or more stresses [2, 3]. Therefore, there is a need for the development of high yielding and multiple stress tolerant rice varieties

Blast, Bacterial blight (BB), gall midge (GM), and drought are the major biotic and abiotic stresses in rice leading to significant yield losses in the majority of the rainfed rice-growing regions. To combat both biotic and abiotic stresses simultaneously, the development and cultivation of resistant/tolerant rice varieties could be the most economical, effective and environment friendly approach. So far, none of the genes that can confer resistance/tolerance to multiple biotic and abiotic stresses concurrently have been identified. Hence, pyramiding multiple genes/QTL together into a variety helps in the development of lines possessing tolerance/resistance to multiple biotic and abiotic stresses. Availability of DNA based genetic markers for the resistance associated genes/QTLs facilitates their transfer into high yielding rice varieties through marker-assisted selection. In rice, blast is one of the most destructive diseases caused by Magnaporthe oryzae fungi. It occurs in the majority of the rice-cultivating areas throughout the world and results in as high as 70–80% yield loss [4]. To date, about 100 distinct blast resistance genes and 350 QTLs have been identified. Nearly 30 genes were cloned from these [5]. Among the blast R genes in India, Pi1, Pi2, Pi9 and Pi54 are most effective against a wide range of fungal isolates [6]. Pi9 is a major blast resistant gene identified from the wild species Oryza minuta which provides broad spectrum resistance against diverse M. oryzae isolates [79]. Introgression of Pi9 gene into Pusa Basmati 1 resulted in higher resistance to blast and the improved variety Pusa 1637-18-7-6-20 now growing in larger area compared to Pusa Basmati 1 [10].

Bacterial blight (BB) is caused by Xanthomonas oryzae pv. oryzae and there are about 22 pathotypes identified from diverse geographical locations across India. So far, nearly 45 BB resistance genes have been identified [11], among them, nine were cloned (Xa1, xa5, xa10, xa13, Xa21, Xa23, Xa25, and Xa27 [12, 13] and seven genes (Xa4, Xa7, Xa22, Xa30, Xa31, Xa33 and Xa34) were fine mapped. Among the identified resistance genes, three genes (xa5, xa13 and Xa21) are found to be highly effective in Indian context and incorporated successfully into high yielding elite rice varieties [1318].

Gall midge (Orseolia oryzae) is a serious pest causing significant crop damage in some regions of the east, central and south India, mostly during wet season. An annual yield loss of about 0.8% of the total production is observed in India [19]. To date, 11 gall midge resistance genes have been identified in rice, among them eight genes (Gm1, Gm2, Gm4, Gm5, Gm6, Gm7, Gm8 and Gm11) have been mapped [2023] and four candidate genes Gm2, gm3, Gm4 and Gm8 have been cloned and characterized [24]. Seven biotypes of the pest have been reported in India so far and the resistance genes Gm1, gm3, Gm4, and Gm8 are found to be resistant against all the 7 biotypes [25, 26]. The resistant genes Gm8, Gm1 and Gm4 were successfully introgressed into RPHR-1005 [27] and elite variety improved Lalat [28] through marker-assisted backcross breeding (MABC).

Drought is the major abiotic stress that occurs in rice as its cultivation requires a high amount of water. According to climate change reports, it is estimated that there will be more water deficit across South Asia and Southeast Asia in the years to come. In rainfed areas, water stress is one of the most serious problems that can occur at any time during the growth period of rice. The reproductive stage in rice is more sensitive to water stress which negatively affects the growth and yield potential of the plant [16]. Most of the popular high yielding rice varieties grown in rainfed areas is highly sensitive to drought stress. There is an urgent need for the development of tolerant rice varieties which can withstand water deficit conditions. In the last few years, several QTLs (qDTYs) has been identified for yield under drought stress at IRRI [2937] and successfully introgressed into high yielding rice varieties which are susceptible to drought through marker-assisted selection [33, 34, 38, 39]. Among the 12 major drought yield under stress QTLs, seven QTLs (qDTY1.1, qDTY2.2, qDTY3.1, qDTY3.2, qDTY4.1, qDTY6.1, and qDTY12.1) were reported with large effects across different genetic backgrounds under both transplanted lowland and direct seeded upland environments. Through introgression of two QTLs (qDTY2.2 and qDTY4.1 into popular high-yielding rice variety IR64, yield advantage of 0.8–1.0 t/ha was reported under severe drought stress [40].

The aim of the present study is to introgress blast, BB, GM resistance genes and drought-tolerant QTLs into popular high yielding rice variety Naveen and also to assemble these genes/QTLs to develop lines with increased resistance/tolerance against multiple biotic and abiotic stresses. Rice variety Naveen was released for cultivation in the states of Odisha (2006), Tripura (2012) of India. It was developed by crossing early duration upland variety, Sattari with the popular high yielding rice variety, Jaya. The average productivity of Naveen is estimated to be 5.0–6.0 t/ha. It is a semi-dwarf (105 cm) rice variety with mid-early duration (115–120 days) and medium-bold grain type [41]. Though Naveen is having high popularity, but it is highly susceptible to blast, BB, and drought. In the present study, attempts were made to simultaneously improve the Naveen for resistance/tolerance to both biotic and abiotic stress through marker-assisted forward (MAFB) and backcrossing (MABC) of stress resistance genes.

Materials and methods

Plant material and breeding strategy

The experiments in the present study were carried out at International Rice Research Institute (IRRI), South Asia Hub located at ICRISAT, Patancheru. ICRISAT Research farm is situated at an altitude of 545 meter above mean sea level with latitude of 17.53°N and longitude of 78.27°E. The breeding lines, IRBL9, possessing blast resistance gene (Pi9), IRBB60 possessing four BB resistance gene (Xa4, xa5, xa13 and Xa21, however we have targeted only Xa21 gene), and Aganni possessing gall midge resistance gene (Gm8), IR 96321-1447-561-B-1 (qDTY1.1) and IR 87707-445-B (qDTY2.2 and qDTY4.1) possessing drought-tolerant QTLs were used as the donor parents to cross with recipient parent Naveen. During WS2013, four independent crosses were made between Naveen and different donor parents (IRBL9, Aganni, IR 96321-1447-561-B-1 and IR 87707-445-B) (Fig 1). The resultant true F1s were intercrossed during DS2014 to produce intercross F1s (IC1F1) plants. Meanwhile, another independent cross was made between IRBB60 and Naveen to introgress Xa21 gene into Naveen. At each cross, F1s were genotyped with trait linked markers and plants containing the alleles of donor parents were selected at the IC1F1 generation. During WS2014, true intercrossed F1s (IC1F1) was again crossed with each other to produce IC2F1s. During DS2015, the true IC2F1s were crossed with the true F1 of Naveen/IRBB60 and produced IC3F1s. The IC3F1 plants were confirmed genotypically for the presence of tolerant/resistance genes and the lines with maximum genes/QTLs combinations and better phenotypic expression were forwarded to IC3F3. Superior plants in the IC3F3 generation with maximum number of genes/QTLs combinations were selected and selfed up to IC3F7 as MAFB. In parallel, MABC program was initiated and the superior plants of IC3F3 generation with all the genes/QTLs combinations were backcrossed with recurrent parent Naveen to produce BC1F1s. The MABC lines were selfed up to BC1F4. These lines were phenotypically tested for two consecutive seasons for their resistance to blast, BB, one season for GM resistance and at two locations for drought tolerance. The detailed breeding strategy is presented in Fig 1.

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Fig 1. Flow diagram depicting the different steps involved in development of gene/QTL pyramids of Naveen through Marker-Assisted Forward Breeding (MAFB) and Marker-Assisted Backcross Breeding (MABC).

*Generation advancement by selfing.

https://doi.org/10.1371/journal.pone.0256721.g001

Parental polymorphism and genotyping

A parental polymorphism survey was conducted with the recurrent parent Naveen and the donor parents IRBL9, IRBB60, Aganni, IR 96321-1447-561-B-1 and IR 87707-445-B using the marker information collected from literature for all the 3 targeted genes and 3 drought QTLs. The purpose is to examine the relationship between the markers and the resistance/tolerance and also susceptible nature of the parents.

Due to the large population size and the number of markers, a technically simple, quick, and reproducible DNA isolation technique was carried out according to the International Rice Research Institute (IRRI) protocol (TPS buffer) for genotyping [42]. In each generation, fresh DNA was isolated from the parents and their respective progenies 15 days after transplantation to check the presence of desirable genes/QTLs. For blast resistance, Pi9 gene, the tightly linked marker Pi9STS2 [7], for BB resistance, the Xa21 gene, the tightly linked SSR marker pTA248 [43] and for GM resistance, Gm8 tightly linked marker GM8 PRP was used for foreground selection at each generation. For the drought tolerance QTLs, SSR markers RM3825, RM431 and RM12091 used for qDTY1.1 [31], RM154, RM279, RM555 used for qDTY2.2 and RM551, RM518 and 16367 used for qDTY4.1 [40] respectively. The information of the genes/QTLs, tightly linked markers and their sequences were presented in S1 Table.

PCR reaction was performed in a total volume of 10 μl containing 50 ng of DNA template, 1 μl 10X PCR buffer, 2.5 pico M of each forward and reverse primer, 75 μM of each dNTP, and 0.5U of Taq DNA polymerase (Geneilabs, India). The PCR amplification cycle was performed based on standardized annealing temperatures specific to each marker representing gene/QTL. Products were resolved in a 3.0% agarose gel stained with EtBr and the gel images were documented in SYNGENE imager (SYNGENE, USA).

Phenotypic screening for blast resistance

All the pyramided lines (F7, F9, and BC1F4, BC1F6) along with donor (IRBL9), recipient (Naveen) and susceptible checks (HR-12) were evaluated in uniform blast nursery (UBN) located at IRRI- South Asia Hub (IRRI-SAH), Hyderabad using a highly virulent isolate collected from Andhra Pradesh, India. The screening was done during WS2018 and WS2019. A 50-cm-long row of each entry was raised in nursery beds with a row spacing of 10 cm. Between every four entries and also along with borders, one row of the susceptible check (HR-12) was planted to facilitate the uniform spread of the disease. The inoculum with the concentrations 1 x 105spore/ml was sprayed onto young seedlings at four-leaf stages using a fine sprayer and high relative humidity was maintained for disease development. Disease reaction of each line was recorded on 30 days after sowing and continued at 5 days intervals until the susceptible check had more than 80% of infection. Disease reaction was scored visually on 0–9 SES scale according to Standard Evaluation System, IRRI [44]. SES scores 0–3 were considered resistant (R), 4–5 as moderately resistant (MR) and 6–9 as susceptible.

Phenotypic screening for bacterial leaf blight resistance

A highly virulent isolate of bacterial blight pathogen, Xanthomonas oryzae pv. oryzae (Xoo) IX-020 collected from Hyderabad, Telangana [45], were used to screen the pyramided lines (F7, F9 and BC1F4, BC1F6) along with donor (IRBB60), recipient (Naveen) and susceptible check (TN1). The artificial clip inoculation method was followed for inoculation in field conditions. The Xoo strains were cultured and multiplied on peptone sucrose agar media for inoculums production. The rice plants were inoculated at maximum tillering stage (50–55 days) with a bacterial suspension of 109cfu/ml following clip inoculation method as described by [46]. A total of 12–15 fully expanded leaves from four plants of each line were clip inoculated. The disease reaction was scored on the inoculated plants after 21 days of inoculation according to the IRRI standard evaluation system (SES) by measuring the lesion length from the cut tip of inoculated leaves [44]. A plant was classified as resistant if the average lesion length was shorter than 3 cm, moderately resistant if the lesion was >3–6 cm, moderately susceptible if the lesion was >6–9 cm, and susceptible if the lesion was longer than >9 cm [47].

Phenotypic screening for gall midge resistance

Screening for gall midge resistance was conducted in a greenhouse at ICAR-IIRR, Hyderabad according to standard procedures [48]. Pre-germinated seeds of selected pyramided lines, donor parent and a susceptible check (TN1) were planted in seed boxes (60 x 45 x 10 cm) in rows with 5 cm distance between rows and 10–15 plants per row. After 12 days of sowing, 30 female and 15 male insects of gall midge biotype 1 (GMB1) were released onto the seedlings for 2 consecutive days and the trays were covered with nylon mesh to prevent the escape of adults. The trays were placed in a humid chamber with 90% relative humidity (RH) and at 30 ± 5°C temperature for egg incubation and larval establishment. After two days, the trays were shifted to growth chambers and maintained at room temperatures (25 ± 10°C and 60 ± 10% RH) for maggot development. Disease scores like seedling damage (in %), emergence and frequency of silver shoot (galls) were recorded after twenty days when the susceptible check, TN1 showed fully extended galls (90–100% damage). Plants were scored individually based on standard scoring system proposed by the International Rice Research Institute [44]

Phenotypic screening for drought tolerance and agronomic performance

All the pyramided lines (F7 and BC1F4) along with recurrent and donor parents and susceptible checks were screened for reproductive stage drought tolerance during WS2018 at two test fields (IRRI-SAH, Hyderabad and ICAR-IIRR, Hyderabad) as described by [49]. Twenty one-day-old seedlings of all the lines along with respective parents were transplanted in the field in an augmented randomized complete block design (Aug-RCBD) with repeated checks and a plot size of 2.4 m2 for the drought stress and non-stress experiment. The row-to-row and hill -to- hill spacing of 20 cm and 15 cm respectively in the lowland were maintained. Standard agronomic practices were followed while growing the rice plants. Irrigation was supplied continuously in a non-stress experiment until maturity. In stress experiment, irrigation was stopped 30 days after transplantation and the remaining water was drained out from the field to initiate stress. Moisture content in the below ground soil was monitored by inserting 100 cm perforated PVC pipes into the soil in stress experimental field in a zig-zag manner. The decline in water table depth was measured on a daily basis with a meter scale inserted into the PVC pipes. One life-saving irrigation was provided for 24h when water table level reached 100 cm below the soil surface and most lines were wilted and exhibited severe leaf drying. Then, a second cycle of the stress was initiated which continued till maturity.

Along with grain yield under drought, the pyramided lines (F7 and BC1F4) were evaluated for various agronomic traits at both the test field (IRRI-SAH and ICAR-IIRR). Extensive phenotypic selection for the advancement of introgressed segregating material during every generation was carried out after the genotypic confirmation of plants at initial stage. Plants with maximum positive genes were tagged in the field and their phenotypic performance was evaluated. Phenotyping data collection involved days to 50% flowering (DTF), plant height (PH), number of productive tillers per plant (PT), panicle length (PL), grain yield per plant (GY kg ha-1) and 1000 grain weight (TGW) according to [50]. Harvesting was done at physiological maturity after which GY was measured per plot. Seeds were dried to 12% moisture before weighing and the plot yield was converted to kg ha–1. Descriptive statistics was performed using PB tools for the phenotypic traits (DTF, PH, PT, PL, GY and TGW) recorded for MAFB and MABC lines from both the test fields.

Evaluation of grain quality

Grain quality analysis was performed for all the pyramided lines (MAFB and MABC) during WS2018. After harvest, the rice grains were dried under direct sunlight up to 14% moisture content. Twenty grains from each entry were dehusked, polished and evaluated for physical characters like kernel length, kernel width and L/B ratio using a digital Vernier caliper. The cooking quality traits such as, Alkali spread value (ASV), gel consistency (GC) and amylose content (%) were estimated according to [51].

Results

Marker-assisted forward breeding for pyramiding multiple genes/QTLs

The marker-assisted forward breeding approach was followed in the present study to transfer six genes/QTLs to complement the blast, BB, GM resistance and drought tolerance in elite rice variety Naveen. Initially, during WS2013 Naveen was crossed with all four different donors individually and F1 progeny developed. Single crosses of Naveen with IRBL9 (Pi9) and Aganni (Gm8) resulted in 150 and 112 F1s. Foreground selection with Pi9STS-2 and PRP resulted in the identification of 103 and 91 true F1s with the presence of Pi9 and Gm8 genes respectively. Likewise, separate crossings attempted between Naveen with IR 96321-1447-561-B-1(qDTY1.1) and Naveen with IR 87707-445-B-B (qDTY2.2 and qDTY4.1) resulted in development of 85 and 130 F1s, respectively. Foreground selection with qDTY1.1 specific co-dominant markers RM3825 (right flaking marker), RM431 (peak marker) and RM12091 (left flanking marker), qDTY2.2 specific markers RM154 (right flaking marker), RM279 (left flanking marker) and qDTY4.1 specific markers RM551 (right flaking marker), RM518 (peak marker) and RM16367 (left flanking marker) resulted in identification of 76 and 54 true F1s possessing qDTY1.1 and qDTY2.2, qDTY4.1.

All the true F1s were grown in the field during DS2014 and intercrosses were made among the true F1s, one plant from each of the crosses were selected to develop IC1F1s for pyramiding the targeted multiple gene/QTLs. The heterozygous F1s of Naveen/IRBL9 crossed with heterozygous F1s of Naveen/Aganni to pyramid blast (Pi9) and gall midge (Gm8) genes into Naveen background resulted in the generation of 163 plants, out of which the 37 plants were identified as true IC1F1s with both Pi9 and Gm8 genes using foreground selection. Similarly, the heterozygous F1 plant of Naveen/IR 96321-1447-561-B-1 crossed with a heterozygous F1 plant of Naveen/IR 87707-445-B-B to pyramid all three drought-tolerant QTLs into Naveen background resulted in development of total of 302 IC1F1s and foreground selection with qDTY specific markers resulted in confirmation of 31 true IC1F1s with all three targeted qDTYs (qDTY1.1, qDTY2.2 and qDTY4.1). During WS2014, intercrosses were performed between IC1F1s possessing Pi9, Gm8 genes and IC1F1s possessing three drought QTLs to bring all of them into the same background. This results in development of a total of 2935 IC2F1s, out of which 102 F1s with different gene/QTL combinations (1–5 gene/QTL) were identified through foreground selection. In the same season, Naveen was crossed with IRBB60 to introgress Xa21 gene and identified 84 true F1s. During DS2015, the positive IC2F1 plants with all five gene/QTL combinations were intercrossed with true F1s from Naveen/IRBB60 to the pyramid Xa21 (BB) gene and generated a total of 3015 IC3F1 plants. During WS2015, all the IC3F1s were grown in the field and stepwise foreground selection was performed with all the markers for selection of lines possessing all 6 genes/QTLs combinations. This resulted in the identification of 35 positive plants with all the genes/QTLs but the majority of the lines with Xa21 and Pi9 genes were in heterozygous condition.

All positive plants for the desired traits of interest were selfed to produce F2s. During DS2016, a total of 6145 IC3F2 plants were developed among which 1663 IC3F2 plants were selected through extensive field selections and further used for genotyping with trait linked markers. Out of 1663 IC3F2 plants, 37 plants were found with different gene/QTL combinations which were forwarded to IC3F3. In WS2016, around 5000 IC3F3 seeds were generated from 37 IC3F3 as single plant and the selective genotyping of the plants during early stage resulted in selection of 15 positive plants with different gene/QTL combinations. Out of 15 plants, 8 plants were forwarded to IC3F4 and the remaining 7 plants were used for backcrossing. During DS2017, 2520 F4 seeds were obtained from 8 plants and were screened genotypically and phenotypically and 11 plants with different genes/QTLs combinations and better agronomic performance were forwarded to IC3F5. During WS2017, 1183 seeds were obtained from 11 plants, out of which 6 plants with different gene/QTL combinations were selected. During DS2018, a total of 1200 IC3F6 seeds were derived from 6 IC3F5 plants. Finally, through stringent phenotypic and genotypic screening, 8 plants were selected from IC3F6 possessing different genes/QTLs combination and providing better yield performance and were bulked for evaluating yield, biotic and drought stress tolerance.

Marker-assisted backcross breeding for pyramiding multiple genes/QTLs into Naveen

In parallel to MAFB, the backcross breeding approach was also followed to develop the NILs with multiple stress tolerance. Superior plants from 7 IC3F3 plants progenies possessing all genes/QTLs combinations (Xa21, Gm8, Pi9, qDTY1.1, qDTY2.2 and qDTY4.1) and better phenotypic expression were selected from forward breeding program and were backcrossed with the recurrent parent Naveen during WS2016. A total of 1065 BC1F1 seeds were generated and grown in the field during DS2017. Foreground selection was performed with selected markers and 5 plants possessing all 6 genes/QTLs combinations identified. During WS2017, the 5 selected BC1F1 plants were selfed to produce 8400 seeds which were sown in the field. As it is very difficult to genotype all the 8400 plants, we have selected 250 plants from each BC1F1 plant through extensive field selections based on grain and plant type and finally selected 1250 BC1F2 seeds which were sown in field and genotyped with trait linked markers. From these 1250 plants, 5 superior plants were forwarded to BC1F3. In DS2018, a total of 882 BC1F3 seeds derived from 5 plants were screened in the field. Based on the genotypic analysis, 12 plants with different genes/QTLs combinations were selected and forwarded to BC1F4. These were selfed to produce BC1F5 and BC1F6 generations and bulked for evaluation for yield, biotic and drought stress tolerance along with forward breeding lines.

Bioassay of the marker-assisted breeding lines for biotic stress resistance

Marker-assisted breeding lines developed through both MAFB and MABC approach were further evaluated for the targeted biotic stress traits viz., blast, BB and GM resistance. A set of 8 IC3F7 lines obtained through forward breeding approach containing 3 to 5 gene/QTLs combinations and a set of 12 BC1F4 lines with 3 to 6 genes/QTLs combinations were evaluated for blast and BB resistance for 2 consecutive seasons (WS2018 and WS2019) at IRRI-SAH, Hyderabad. Recurrent parent Naveen, donor IRBL9, susceptible checks HR12 was also included in the screening to study their reaction to the blast inoculation. In both the seasons, the donors IRBL9 showed resistant reaction (R) with a score of 0 while the recurrent parent and susceptible checks showed susceptible reaction with the score of 7. Out of 8 MAFB lines, only 2 lines (MAFB 1 and MAFB 8) found to possess Pi9 gene and showed high degree of resistance to blast whereas MAFB 4 and MAFB 6 showed moderate resistance (MR) though there is no Pi9 identified in these lines genotypically (Table 1). Similarly among the 12 MABC lines, 3 lines (MABC 5, MABC 9 and MABC12) found to posses Pi9 gene, among them 2 lines showed higher level of resistance (Fig 2A) and 1 line (MABC 5) showed susceptible reaction. Apart from this, 3 lines (MABC 2, MABC 8 and MABC 11) showed moderate resistance (MR) though there is no Pi9 gene (Table 2).

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Fig 2. Representative picture of screening of the ILs for blast, BLB, and drought.

(a) screening for blast resistance (b) screening for bacterial leaf blight resistance (c) Screening for drought tolerance.

https://doi.org/10.1371/journal.pone.0256721.g002

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Table 1. Disease reaction (blast, bacterial blight, and gall midge) of pyramided lines with different gene/QTL combinations developed through Marker Assisted Forwarding Breeding (MAFB) approach.

https://doi.org/10.1371/journal.pone.0256721.t001

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Table 2. Disease reaction (blast, bacterial blight and gall midge) of pyramided lines with different gene/QTL combinations developed through marker assisted backcross approach.

https://doi.org/10.1371/journal.pone.0256721.t002

Likewise for BB, the donor IRBB60 showed complete resistance with lesion length of 0.5 cm and the recurrent parent Naveen showed susceptibility with lesion length more than 19 cm. Among the 8 MAFB lines tested, 4 lines (MAFB 5, MAFB 6, MAFB 7 and MAFB 8) showed high resistance (lesion length <3cm) and 2 lines (MAFB 1 and MAFB 2) showed moderate resistance (lesion length >3 to <6cm) in both the seasons of WS2018 and WS2019. (Table 1). Out of 12 MABC lines, 7 lines (MABC 1, MABC 2, MABC 3, MABC 7, MABC 9, MABC 10 and MABC 12) showed high resistance (lesion length <3cm), 2 lines (MABC 4 and MABC 6) showed moderate resistance (lesion length >3 to <6cm) (Table 2, Fig 2B). All the resistance and moderate resistance lines of MAFB and MABC lines found to posses Xa21 gene (Tables 1 and 2).

All the above MAFB and MABC gene/QTL pyramided lines were screened against gall midge biotype 1 in green house at ICAR-IIRR, Hyderabad during WS2018. The donor parent, Aganni showed 100% resistance while the recurrent parent Naveen and susceptible check TN1 showed high level of susceptibility with more than 70% plants with incidents of galls. Out of the 8 MAFB lines, five lines (MAFB 1, MAFB 3, MAFB 4, MAFB 5 and MAFB 6) found to posses Gm8 gene and showed resistance with less than 8% of gall formation (Table 1). All the 12 MABC lines found to posses Gm8 gene and showed high level of resistance (Table 2).

Agronomic performance and drought tolerance of marker-assisted breeding lines

Drought tolerance studies were conducted during WS2018 at two test fields (IRRI-SAH, Hyderabad and ICAR-IIRR, Hyderabad). Severe drought stress was imposed and the lines were evaluated for their phenotypic expression in terms of days to 50% flowering (DTF), plant height (PH), productive tiller number (PT), Panicle length (PL), and grain yield (Kg/ha) under both control and drought stress conditions. Two drought donors (IR 87707-445-B-B and IR 96321-1447-561-B-1), two susceptible checks (MTU1010 and IR64) and one tolerant check (DRR Dhan44) were used in this study. In MAFB lines, all the traits showed significant variation in drought stress compared to control. The mean DTF varied from 87 to 99 days in control trial and 68 to 96 days under drought stress trial, while the parental DTF is 95 days in control and 87 days under drought stress. Whereas the PH, PT, PL and TGW significantly decreased under drought stress compared to control (Table 3). In control conditions, MAFB lines showed lower GY compared to the parent Naveen. The mean GY of the Naveen under control was recorded as 6253 kg ha-1 and the mean GY of the pyramided lines were ranged from 1868 to 4370 kg ha-1. Meanwhile under drought stress, the mean GY of Naveen was 1267 kg ha-1 and the GY of the MAFB lines was ranged from 855 to 2406 kg ha-1. Three lines {MAFB 3 (2008 kg ha-1), MAFB 4 (1982 kg ha-1) and MAFB 7 (2406 kg ha-1)} showed higher GY under drought stress compared to recurrent parent Naveen and also both drought donors {IR 87707-445-B-B (1605 kg ha-1) and IR96321-1447-561-B-1 (1934 kg ha-1)} and tolerant check (DRR Dhan44 (1902 kg ha-1)) (Table 3).

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Table 3. Agronomic and yield performance of pyramided lines developed through the MAFB approach.

https://doi.org/10.1371/journal.pone.0256721.t003

Compared to MAFB lines, MABC lines were performed very well under drought stress. The mean DTF of MABC lines increased under drought stress (96 to 136 days) compared to control (92 to 101 days). Whereas, the other four traits (PH, PT, PL and TGW) showed significant decrease in mean values (Table 4). Under control conditions, the mean GY of the MABC lines were ranged from 3823 to 8283 kg ha-1. Meanwhile under drought stress, the mean GY of the MABC lines ranged from 1364 to 3675 kg ha-1. Among all the MABC lines, five lines {MABC 4 (3675 kg ha-1), MABC 6 (2706 kg ha-1), MABC 7 (3370 kg ha-1) MABC 11 (2598 kg ha-1) and MABC12 (2681 kg ha-1)} showed significant yield increase compared to recurrent parent Naveen (1267 kg ha-1), drought donors {IR 87707-445-B-B (1605 kg ha-1) and IR96321-1447-561-B-1 (1934 kg ha-1)} and tolerant check {DRR Dhan44 (1902 kg ha-1)} (Table 4). In control, six lines yielded higher grain yield than Naveen. Overall 2 lines (MABC 6 and MABC 7) showed higher GY than Naveen, donors and check under both control and drought stress conditions.

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Table 4. Agronomic and yield performance of selected pyramided lines developed through the MABC approach.

https://doi.org/10.1371/journal.pone.0256721.t004

Grain quality analysis of marker-assisted breeding lines

The grain quality data (WS2018) of 8 MAFB lines and 12 MABC lines under control and drought stress are presented in Tables 5 and 6. Kernel length (KL) of MAFB lines ranged from 5.8 to 7.1 mm under control and 5.2 to 6.2 mm under drought (Table 5), whereas the KL of MABC lines was ranged from 5.6 to 6.5 mm under control and 5.3 to 6.2 mm under drought conditions (Table 6) in comparison to 6.2 and 6.1 mm of the recurrent parent (Naveen) in both the conditions. Kernel breadth (KB) of MAFB lines ranges from 2.1 to 2.6 mm under control and 1.9 to 2.2 mm under drought stress (Table 5), whereas the KB of MABC lines was ranged from 2.1 to 2.6 mm under control and 1.9 to 2.4 mm under drought conditions (Table 6) in comparison to 2.4 and 2.2 mm of the Naveen in both the conditions respectively. Based on the L/B ratio, majority of the MAFB and MABC lines were categorized under medium bold (MB) grain type, which is similar to the Naveen.

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Table 5. Grain quality characteristics of MAFB lines under control and drought conditions during WS2018.

https://doi.org/10.1371/journal.pone.0256721.t005

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Table 6. Grain quality characteristics of MABC lines under control and drought conditions during WS2018.

https://doi.org/10.1371/journal.pone.0256721.t006

Apart from KL, KB and L/B ratio, gel consistency (GC) and amylose content (AC) of all the marker-assisted breeding lines were recorded under both control and stress conditions. Significant differences were observed among these traits in between control and drought. GC varied significantly among the lines. In MAFB lines, it was ranged from 45 to 85 under control and 38 to 82 under stress (Table 5) where as in MABC lines it ranged from 55 to 86 under control and 38 to 90 under stress (Table 6). The GC of Naveen was 87.5 under control and 54.5 under stress. Amylose content (AC) of majority of the marker-assisted breeding lines under control were of intermediate to high type (AC ranged from 22.3 to 26.5% in MAFB lines and 23.3 to 26.9% in MABC lines), similar to the recurrent parent (25.7%). Under drought stress, AC is ranged from 20 to 25% in MAFB lines and 17.7 to 25.8% in MABC lines whereas in Naveen it was recorded as 22%. These results indicate that drought has some effect on grain quality characteristics.

Discussion

Naveen is a mid-early duration, high yielding, medium bold rice variety released in the year 2006 and adopted by the Indian farmers in the regions of Odisha and Tripura. Improving Naveen for blast, BB, GM resistance and drought tolerance will invariably help the farmers to reduce the use of pesticides thereby reducing the production cost and also to sustain under water deficit conditions. In the present study, we followed two marker-assisted breeding approaches, namely marker-assisted forward breeding (MAFB) and marker assisted backcrossing (MABC) to combine three biotic stress resistance genes and three drought tolerance QTLs into Naveen (Fig 1). Majority of the high yielding, consumer acceptable rice varieties are being rejected for cultivation by farmers due to lack of biotic and abiotic stress resistance/tolerance or poor grain quality traits even if they produce high yield. This can be overcome by rapid and precise introgression of multiple genes/QTLs which provides resistance/tolerance to multiple biotic and abiotic stresses. Tagging, mapping and cloning of various genes which possess resistance against biotic stresses such as blast [52], bacterial blight (BB) [53], and gall midge (GM) [22] facilitated the development of reliable DNA markers linked to those genes and gave boost to marker assisted breeding for multiple stress resistance. In the past few years, several popular elite high yielding rice varieties were developed by incorporating these (blast, BB and GM) resistance genes through marker assisted selection (MAS) involving both foreground and background selection [28, 5460]. Not only the biotic stresses, significant success has been achieved in pyramiding QTLs associated with tolerance to abiotic stresses such as drought tolerance [50, 61], submergence tolerance [62, 63] and salinity tolerance [64, 65] through MAS. These reports provide evidence for the usefulness of MAS for development of biotic as well as abiotic stress resistant/tolerant rice varieties.

In recent years, marker-assisted breeding has been advanced from introgression of single/multiple genes conferring resistance for single disease in single genotype to multiple genes conferring resistance to multiple diseases in single genotype. There are reports in rice where multiple genes conferring resistance to two different biotic stresses were introgressed into the background of popular rice varieties for combined resistance to target pests such as BB and blight [20, 66] or BB and GM [27]. Attempts have been also made for the introgression of multiple biotic (blast, BB and GM) and abiotic stress (salinity and submergence) resistance/tolerance genes/QTLs together into improved rice varieties (improved Lalat and improved Tapaswini) and succeeded in achieving multiple stress tolerance [28, 61] in the resultant pyramided lines. But there is no previous report on successful introgression of biotic stress resistance genes together with drought tolerant QTLs. Moreover, the reported studies followed marker assisted backcross breeding (MABC) approach for pyramiding additional stress resistant/tolerant genes/QTLs into already improved rice varieties with existing resistance genes for a biotic stress [28, 60]. Although transferring multiple genes is feasible with MABC, the major constraint associated with the multiple introgressions is decline in yield potential of pyramided lines. In both the previous studies of the introgression of multiple genes/QTLs, researchers reported significant yield loss in the pyramided lines [28, 60].

A combined approach of MAFB with MABC breeding was reported by Kumar et al. [67] which helped in recovery of all the desirable traits along with target traits and also grain yield advantage in multiple gene introgressions in wheat. In the present study, we also followed a combined approach of MAFB and MABC to bring all the desired genes/QTLs into Naveen. Initially through MAFB approach all the genes and QTLs were brought into the common genetic background. Once after identifying the lines with all genes/QTLs combinations (IC3F3), some of ILs were forwarded and developed as RILs (MAFB) and few were backcrossed with Naveen to develop BILs (MABC) for retaining higher percent of the recurrent parent genome. Stringent field based selections and foreground screening with markers was followed at each generation of MAFBs and MABCs and the identified genes/QTLs combinations were stabilized only at F7 generation in case of MAFBs and BC1F4 generation in case of MABCs. Marker-assisted breeding lines which showed same genes/QTLs combinations in homozygous conditions (F7, and BC1F4) were selected and evaluated for their biotic stress resistance at both seasons (WS2018 and WS2019) and agronomic performance and drought stress tolerance at two independent field experiments (IRRI-SAH, Hyderabad and ICAR-IIRR, Hyderabad). Compared to MAFB lines, lines developed through combined approach of MAFB and MABC showed higher yield under both drought and control conditions and also biotic stress resistance. In control conditions, none of the MAFB lines showed higher yield compared to recurrent parent Naveen. The mean GY of the Naveen under control was recorded as 6253 kg ha-1 and the mean GY of the pyramided lines were ranged from 1868 to 4370 kg ha-1. Meanwhile under drought stress, the mean GY of Naveen was 1267 kg ha-1 and the GY of the MAFB lines was ranged from 855 to 2406 kg ha-1 respectively. Three MAFB lines (MAFB 3, MAFB 4 and MAFB 7) showed higher GY (36–47%) under drought stress compared to recurrent parent Naveen. In case of MABC lines, significant higher yields were observed in both control and stress conditions compared to Naveen. Under control conditions, the mean GY of the MABC lines were ranged from 3823 to 8283 kg ha-1. Meanwhile under drought stress, the mean GY of the MABC lines ranged from 1364 to 3675 kg ha-1. Out of 12 MABC lines, six lines (MABC 1, 5, 6, 7, 8 and 10) showed significant higher grain yield (5–27%) than Naveen in control conditions and five lines (MABC 4, 6, 7, 11 and 12) showed significant higher yield (51–66%) than Naveen under drought stress conditions. The superior performance of MABC lines in comparison with MAFB lines may have resulted from breakage of undesirable linkages or loss of negative interactions as it went through one round of backcrossing and advancement. There are various reports available on the interaction between introgressed genes and homolog reporter sequences in transgenic rice but very few for MAS. Sandhu et al., [50] has studied the allelic profile of MAS pyramided lines (PLs) having same qDTY combination but with variable phenotypic expression under drought and concluded that, interactions among favorable allele, increase in positive alleles frequency over negative allele frequency, haplotype mediated controlling of the traits, and variable expression of genomic regions under differential conditions may be responsible factors. Similarly, Yadav et al., [68] also reported that effect of epistatic interactions between QTLs and genetic background, interactions between background markers loci of different chromosomes and QTL-QTL interactions may play a major role. Among the 8 MAFB lines, two lines (MAFB 1 and MAFB 6) showed MR to compete R to all 3 biotic stresses (blast, BB and GM). Moreover, except three lines (MAFB 1, MAFB 5 and MAFB 8) all other five lines showed GY advantage over RP Naveen under drought stress. Among these seven lines, three lines (MAFB 3, 4 and 7) not only showed higher yields than Naveen but also over drought tolerant donors and checks used in the study. Whereas in MABC lines, three lines (MABC 2, MABC 9 and MABC 12) showed MR to compete R to all 3 biotic stresses (blast, BB and GM). Coming to drought stress, all lines showed higher yields compared to Naveen and five lines (MABC 4, 6, 7, 11 and 12) lines showed higher yields compared drought tolerant donors and checks used in the study. The 3 MAFBs (MAFB 3, 4 and 7) and five MABCs (MABC 4, 6, 7, 11 and 12) were considered as high priority lines due to their higher GY advantage under drought stress. These results signify the importance of the combined approach of MAFB with MABC breeding.

The major problem associated with multiple gene/QTL introgressions is failure of the phenotypic expression of some of the genes/QTLs in the pyramided lines. Among all the lines, only one line (MABC 9) showed the presence of all 6 genes/QTL combinations. The non-recovery of some of the gene/QTL combinations is attributed to genotypic specificity by some of the previous MAS breeding studies [69]. Moreover, some of the pyramided lines were found to show susceptibility to particular stress, even though respective gene/QTL was identified in PCR analysis. In general, during multiple gene/QTL pyramiding programs, it is expected that introgressed genes/QTLs act together and exhibit combined resistance/tolerance. But the interactions occurring among the introgressed genes/QTLs are not well studied. There is a possibility of significant antagonistic as well as synergistic interactions among the introgressed genes/QTLs in the genome which results in either suppressing or activation of the function of other genes [2, 70]. In our study, some of the marker-assisted breeding line showed susceptibility to biotic stress (Xa21 in MABC 5 and MABC 8) and drought stress (MAFB 1, MAFB 8) though the respective gene/QTL was present genotypically. This may be due to the antagonistic interactions occurring among the gene/QTL combinations present in those lines. Similar results were reported by Divya et al., [19] where they have evaluated a set of ten pyramided lines against blast, BB and GM diseases and found that that their expression was not in accordance with the PCR identification of the respective genes. Especially the lines which are confirmed genotypically for the presence of resistance genes for gall midge (Gm1 and Gm4) and blast (Pi2 or Pi54) are found to show susceptibility to respective stresses. Das et al., [59] also reported the occurrence of negative interactions among disease resistance genes introgressed in rice. Further, some of the marker-assisted breeding lines showed resistance to biotic stress though the respective gene was not present genotypically. This may be due to the synergistic interactions occurring among the gene/QTL combinations present in those lines. The lines MAFB 4, MAFB 6 and MABC 2, MABC 8, MABC 11 showed moderate resistance to blast though the Pi9 gene is not identified in these lines. This could be attributed to background interaction of genes/QTLs in those ILs which may lead to positive epistatic interaction in the genome which is reported by earlier few studies [50, 56, and 68]. Moreover, some of the lines with same gene/QTL combinations (MAFB 5 and 6; MABC 1, 2 and 3; MABC 4, 8; MABC 5, 7) showed differential phenotypic response in the present study. However, an in-depth understanding on the gene-gene interactions or gene-QTL interactions is needed to make further conclusions.

In the present study, a systematic pyramiding approach was followed involving both MAFB and MABC breeding strategy which resulted in development of lines similar to recurrent parent morphologically but with different gene/QTL combinations. In rice, this is the first time we are reporting the combined approach of MAFB and MABC which yielded positive results for introgression of multiple genes/QTL. Though it is possible to transfer multiple genes through MAFB, combining backcross breeding helped us in development of lines with Naveen characteristics along with target traits. Moreover it also helped in minimizing the donor type segments. The large number of BC1F1s and presence of high variance in succeeding generations, indicate a wider range of frequency distribution in the BC1F1 suggesting the feasibility of practicing selections in the BC1F1 generation [56]. Despite of using six different parents, stringent field based phenotypic selections based on different agro-morphological characters at each generation helped in identification of lines with superior performance over recurrent parent (Naveen) in terms of quality and stress tolerance. This study is the practical example of a combination of MAFB and MABC approaches which clearly demonstrated the superiority over conventional backcrossing with superior agronomic performance. The improved Naveen lines that tolerate both biotic and abiotic stress can help in understanding the epistatic interactions occurring among the introgressed genes/QTL and their interaction with genetic background. Moreover, it also serves as valuable resource for crop improvement programs targeted for improving multiple biotic/abiotic stress resistance/tolerance and agronomic traits. The success of the introgression of multiple genes/QTLs into a single background through marker-assisted breeding will further pave way for the plant breeders to introgress more number of desirable traits to develop a plant type with combination of genes/QTLs through non-transgenic approaches. These improved Naveen lines can be tested in multi-locations across the country through All India Coordinated Rice Improvement Program (AICRIP-Rice) for their respective high yield and biotic and abiotic stress resistance/tolerance. After 3 years of rigorous testing, these lines can be released to the farmers in the respective areas. Naveen was primarily released and adopted by the farmers in the states Odisha and Tripura where it can be replaced by improved Naveen lines.

Conclusion

In the present study, an Indian elite rice variety Naveen was improved for biotic and abiotic stress resistance/tolerance by pyramiding biotic stress resistance genes for blast (Pi9), BB (Xa21) and GM (Gm8) and three drought tolerant QTLs (qDTY1.1, qDTY2.2 and qDTY4.1). Marker assisted forward and backcross breeding approach was followed to introgress multiple gene/QTLs to develop introgression lines without any yield penalty. Through stringent phenotyping in field based on agro-morphological characteristics and foreground selection with tightly linked markers at each generations, eight lines through MAFB approach and 12 lines through combined MAFB and MABC approach were identified with similar characteristics to recurrent parent Naveen and with increased level of tolerance/resistance to drought and other three biotic stresses. The success of this study clearly exemplifies the efficacy of the combined approach of MAFB and MABC strategy in pyramiding multiple biotic and abiotic stress resistance/tolerance genes/QTLs into an elite genetic background, obtain introgression lines with higher or similar yield of the recurrent parent under control. Further, the marker-assisted breeding lines will be screened in multi-location trials under the All India Coordinated Research Projects-Rice (AICRP-Rice) for their possible release for the benefit of rice farmers. The developed marker-assisted breeding lines can also be used as novel breeding source in crossing programs for improvement of number of elite rice varieties.

Supporting information

S1 Table. List of donors and markers used for foreground selection of blast, BB, Gall midge resistance genes and drought tolerance QTLs, their chromosome location, and primer sequence.

https://doi.org/10.1371/journal.pone.0256721.s001

(DOCX)

Acknowledgments

Authors are thankful to our research technicians K. Anil, M. Nagaraju, Satya babu, J. Bikshapati, A. Rukmini and Renuka Devi for their continued support in all fields and laboratory-based activities during the conduct of this experiment.

References

  1. 1. Spielman DJ, Deepthi EK, Patrick SW. The prospects for hybrid rice in India. Food security. 2013;5(5): 651–665.
  2. 2. Atkinson NJ and Urwin PE. The interaction of plant biotic and abiotic stresses: from genes to the field. Journal of Experimental Botany. 2012;63(10): 3523–3543. pmid:22467407
  3. 3. Nostar O, Ozdemir F, Bor M, Turkan I, Tosun N. Combined effects of salt stress and cucurbit downy mildew (PseudoperosporacubensisBerk. and Curt. Rostov.) infection on growth, physiological traits and antioxidant activity in cucumber (Cucumissativus L.) seedling. Physiology and Molecular Plant Pathology. 2013;83: 84–92.
  4. 4. Khush GS, Jena KK. Current status and future prospects for research on blast resistance in rice (Oryza sativa L.). In: Wang GL, Valent B, editors. Advances in genetics, genomics and control of rice blast disease. Dordrecht: Springer; 2009. pp. 1–10
  5. 5. Zhao H, Wang X, Jia Y et al. The rice blast resistance gene Ptr encodes an atypical protein required for broad-spectrum disease resistance. Nature Communications. 2018;9: 2039. pmid:29795191
  6. 6. Krishnaveni D, Laha GS, Srinivas PM, Ladha LD, Mangrauthia SK, et al. Disease resistance in rice. Directorate of Rice Research (DRR), Technical Bulletin 62; 2012: 1–21.
  7. 7. Qu S, Liu G, Zhou B, Bellizzi M, Zeng L, Dai L. et al. The broad-spectrum blast resistance gene Pi9 encodes a nucleotide-binding site-leucine-rich repeat protein and is a member of a multigene family in rice. Genetics. 2006;172 (3): 1901–1914 pmid:16387888
  8. 8. Sitch LA, Amante AD, Dalmacio RD, Leung H. Oryza minuta, a source of blast and bacterial blight resistance for rice improvement. In: Mujeeb-Kazi A, Stich LA, editors. Review of advances in plant biotechnology (second international symposium on genetic manipulation of crops). CIMMYT: Mexico DF; 1989. pp. 1985–1988 50.
  9. 9. Amante-Bordeos A, Stich LA, Nelson R, Damacio RD, Oliva NP, Aswidinoor H, et al. Transfer of bacterial blight and blast resistance from tetraploid wild rice Oryza minuta to cultivated rice Oryza sativa. Theoretical and Applied Genetics. 1992;84: 345–354. pmid:24203194
  10. 10. Khanna A, Sharma V, Ellur RK, Shikari AB, Gopala KS, Singh UD, et al. Development and evaluation of near-isogenic lines for major blast resistance gene(s) in Basmati rice. Theoretical and applied genetics. 2015;128(7): 1243–1259. pmid:25869921
  11. 11. Chukwu SC, Rafii MY, Ramlee SI, Ismail SI, Hasan MM, Oladosu YA. Bacterial leaf blight resistance in rice: a review of conventional breeding to molecular approach. Molecular Biology Reports. 2019;46: 1519–1532. pmid:30628024
  12. 12. Suh JP, Jeung JU, Noh TH, Cho YC, Park SH, Park HS, et al. Development of breeding lines with three pyramided resistance genes that confer broad- spectrum bacterial blight resistance and their molecular analysis in rice. Rice. 2013;6: 1–11. pmid:24280096
  13. 13. Sundaram RM, Madhav MS, Balachandran SM, Neeraja CN, Mangrauthia SK, Padmavathi G. et al. Marker-assisted selection for biotic stress resistance in rice. Directorate of Rice Research, Technical bulletin 79: 2014.
  14. 14. Dokku P, Das KM and Rao GJN. Pyramiding of four resistance genes of bacterial blight in Tapaswini, an elite rice cultivar, through marker assisted selection. Euphytica. 2013a;192: 87–96.
  15. 15. Dokku P, Das KM and Rao GJN. Genetic enhancement of host plant-resistance of the Lalat cultivar of rice against bacterial blight employing marker-assisted selection. Biotechnology Letters. 2013b;35: 1339–1348.
  16. 16. Kumar A, Dixit S, Ram T, Yadaw RB, Mishra KK, and Madal NP. Breeding high yielding drought-tolerant rice: genetic variations and conventional and molecular approaches. Journal of Experimental Botany. 2014;65: 6265–6278. pmid:25205576
  17. 17. Pradhan SK, Nayak DK, Mohanty S, Behera L, Barik SR, Pandit E et al. Pyramiding of three bacterial blight resistance genes for broad-spectrum resistance in deep water rice variety, Jalmagna. Rice. 2015;8: 19. pmid:26054243
  18. 18. Rekha G, Abhilash KV, Viraktamath BC, Pranathi K, Kousik MBVN, et al. Improvement of blast resistance of the popular high-yielding, medium slender-grain type, bacterial blight resistant rice variety, Improved Samba Mahsuri by marker-assisted breeding. Journal of Plant Biochemistry and Biotechnology. 2018;27: 463–472.
  19. 19. Divya D, Suresh N. and Bentur JS. Expression profiles of key genes involved in rice gall midge interactions reveal diversity in resistance pathways. Current Science. 2018;115(1): 74–82.
  20. 20. Kumar A, Bhandarkar S, Pophlay DJ, Shrivastava MN. A new gene for gall midge resistance in rice accession Jhitpiti. RGN. 2000;17: 83–84.
  21. 21. Shrivastava MN, Kumar A, Bhandarkar S, Shukla BC, Agrawal KC. A new gene for resistance in rice to Asian rice gall midge (Orseoliaoryzae Wood Mason) biotype 1 population at Raipur, India. Euphytica. 2003;130 (1): 143–145.
  22. 22. Jain A, Ariyadasa R, Kumar A, Srivastava MN, Mohan M, Nair S. Tagging and mapping of a rice gall midge resistance gene, Gm8, and development of SCARs for use in marker-aided selection and gene pyramiding. Theoretical and Applied Genetics. 2004;109(7): 1377–84. pmid:15322754
  23. 23. Kumar A, Jain A, Sahu RK, Shrivastava MN, Nair S, Mohan M. Genetic analysis of resistance genes for the rice gall midge in two rice genotypes. Crop science. 2005;45 (4): 1631–1635.
  24. 24. Bentur JS, Rawat N, Divya D, Sinha DK, Agarrwal R, Atray I, Nair . Rice-gall midge interactions: battle for survival. Journal of Insect Physiology. 2016;84: 40–49 pmid:26455891
  25. 25. Dutta SS, Divya D, Durga Rani ChV, Reddy D, Visalakshmi V, Cheralu C et al. Characterization of gall midge resistant rice genotypes using resistance gene specific markers. Journal of experimental biology and agriculture sciences. 2014;2(4): 439–446.
  26. 26. Hasan MM, Rafi MY, Ismail MR, Mahmood M, Rahimd HA, Alam MA et al. Marker-assisted backcrossing: a useful method for rice improvement. Biotech. Biotechnology & Biotechnological Equipment. 2015;29: 237–254.
  27. 27. Kumar AV, Balachiranjeevi CH, BhaskarNaik S., Rekha G., Rambabu R., et al. Marker-assisted pyramiding of bacterial blight and gall midge resistance genes into RPHR-1005, the restorer line of the popular rice hybrid DRRH-3. Molecular Breeding. 2017;37: 86.
  28. 28. Das G, and Rao GJN. Molecular marker assisted gene stacking for biotic and abiotic stress resistance genes in an elite rice cultivar. Frontiers in Plant Science. 2015; 6: 1–18. pmid:25653664
  29. 29. Bernier J, Kumar A, Venuprasad R, Spaner D, and Atlin G. A large-effect QTL for grain yield under reproductive-stage drought stress in upland rice. Crop Science. 2007;47: 507–516.
  30. 30. Venuprasad R, Dalid C, Del V, Bool M, Zhao ME, Espiritu D et al. Identification and characterization of large-effect quantitative trait loci (QTL) for grain yield under lowland drought stress in rice using bulk-segregant analysis (BSA). Theoretical and Applied Genetics. 2009;120: 177–190. pmid:19841886
  31. 31. Vikram P, Swamy BPM, Dixit S, Singh R, Singh BP, Miro B, et al. Drought susceptibility of modern rice varieties: an effect of linkage of drought tolerance with undesirable traits. Science Report. 2015;5: 1–18. pmid:26458744
  32. 32. Dixit S, Swamy BPM, Vikram P, Bernier J, Sta CMT, Amante M, et al. Increased drought tolerance and wider adaptability of qDTY12.1 conferred by its interaction with qDTY2.3 and qDTY3.2. Molecular Breeding. 2012;30: 1767–1779.
  33. 33. Mishra KKM, Vikram P, Yadaw RB, Swamy BPM, Dixit S, Sta Cruz MT et al. qDTY 12.1: a locus with a consistent effect on grain yield under drought in rice. BMC Genetics. 2013; 14.
  34. 34. Yadaw RB, Dixit S, Raman A, Mishra KK, Vikram P, Swamy BPM et al. A QTL for high grain yield under lowland drought in the background of popular rice variety Sabitri from Nepal. Field Crops Research. 2013;144: 281–287.
  35. 35. Sandhu N, Jain S, Kumar A, Mehla BS, Jain R. Genetic variation linkage mapping of QTL and correlation studies for yield root and agronomic traits for aerobic adaptation. BMC Genetics. 2013;14: 104–119. pmid:24168061
  36. 36. Sandhu N, Singh A, Dixit S, Sta C, Maturan MT, Jain PC et al. Identification and mapping of stable QTL with main and epistasis effect on rice grain yield under upland drought stress. BMC Genetics 2014;15–63. pmid:24491120
  37. 37. Sandhu N, Torres RO, Cruz MTS, Maturan PC, Jain R, Kumar A. Traits and QTLs for development of dry direct-seeded rainfed rice varieties. Journal of Experimental Botany. 2015;66(1): 225–244. pmid:25336682
  38. 38. Shamsudin NAA, Swamy BM, Ratnam W, Cruz MTS, Sandhu N, Raman AK, et al. Pyramiding of drought yield QTLs into a high quality Malaysian rice cultivar MRQ74 improves yield under reproductive stage drought. Rice. 2016;9(21): 1–13. pmid:27164982
  39. 39. Dixit S, Singh A, Sandhu N, Bhandari A, Vikram P, Kumar A. Combining drought and submergence tolerance in rice: marker-assisted breeding and QTL combination effects. Molecular Breeding. 2017;37: 1–12. pmid:28127252
  40. 40. Swamy BPM, Ahmed HU, Henry A, et al. Genetic, physiological, and gene expression analyses reveal that multiple QTL enhance yield of rice mega-variety IR64 under drought. PLoS One. 2013;8: e62795. pmid:23667521
  41. 41. Singh T, Satapathy BS, Pun KB, Lenka S and Saikia K. Naveen: A high yielding rice variety–Package of practices for irrigated lands of Lower BrahmaputraValley. RRLRRS (CRRI) Technology Bulletin-3. 2014.
  42. 42. Kim SR, Yang J, An G, & Jena KK. A simple DNA preparation method for high quality polymerase chain reaction in rice. Plant Breeding and Biotechnology. 2016;4: 99–106.
  43. 43. Ronald PC, Albano B, Tabien R, Abenes L, Wu KS, McCouch S, et al. Genetic and physical analysis of the rice bacterial blight disease resistance locus, Xa21. Molecular Genetics and Genomics. 1992;236(1): 113–120. pmid:1362973
  44. 44. The Standard Evaluation System (SES) for rice, 5th edition, 2013
  45. 45. Yugander A, Sundaram RM, Singh K, Ladhalakshmi D, Subba RLV, Madhav MS, et al. Incorporation of the novel bacterial blight resistance gene Xa38 into the genetic background of elite rice variety Improved Samba Mahsuri. PLoS One. 2018;29: 13(5):e0198260. pmid:29813124
  46. 46. Kauffman HE, Reddy APK, Hsieh SPY and Merca SD. An improved technique for evaluating resistance of rice varieties to Xanthomonas oryzae. Plant Disease Report. 1973;57: 537–541.
  47. 47. Chen S, Lin XH, Xu CG, and Zhang Q. Improvement of bacterial blight resistance of ‘Minghui 63’, an elite restorer line of hybrid rice, by molecular marker‐assisted selection. Crop Science. (2000);40: 239–244.
  48. 48. Bentur JS and Amudhan S. Reaction of differentials to different populations of Asian rice gall midge (Orseoliaoryzae) under greenhouse conditions. Indian Journal of Agricultural Science. 1996;66: 197–199.
  49. 49. Sandhu NK. Anitha R, Torres RO, Audebert A, Dardou A, Arvind Kumar, et al. Rice root architectural plasticity traits and genetic regions for adaptability to variable cultivation and stress conditions. Plant Physiology. 2016;171: 2562–2576 pmid:27342311
  50. 50. Sandhu N, Dixit S., Swamy , B.P.M. Prashant Vikram, Challa Venkateshwarlu, Margaret Catolos, et al. Positive interactions of major-effect QTLs with genetic background that enhances rice yield under drought. Science Report. 2018;8: 16–26 pmid:29374240
  51. 51. Agasimani S, Selvakumar G, John Joel A, Ganesh Ram S. A simple and rapid single kernel screening method to estimate amylose content in rice grains. Phytochemical Analysis. 2013;24: 569–573. pmid:23553988
  52. 52. Liu G, Lu G, Zeng L, Wang GL. Two broad-spectrum blast resistance genes, Pi9(t) and Pi2(t), are physically linked on rice chromosome 6. Molecular Genetics and Genomics. 2002;267(4): 472–480. pmid:12111554
  53. 53. Song WY, Wang GL, Chen LL, Kim HS, Pi LY, Holsten T, et al. A receptor kinase-like protein encoded by the rice disease resistance gene, Xa21. Science. 1995;270: 1804–1806. pmid:8525370
  54. 54. Sundaram RM, Vishnupriya MR, Biradar SK, Laha GS, Reddy AG, Rani NS, et al. Marker assisted introgression of bacterial blight resistance in Samba Mahsuri, an elite indica rice variety. Euphytica. 2008;160: 411–422.
  55. 55. Sundaram RM, Priya MRV, Laha GS, Shobha RN, Srinivasa RP, Balachandran SM, et al. Introduction of bacterial blight resistance into Triguna, a high yielding, mid-early duration rice variety by molecular marker assisted breeding. Biotechnology Journal. 2009;4: 400–407. pmid:19253322
  56. 56. Basavaraj SH, Singh VK, Singh A, Singh A, Singh A, Deepti A, et al. Marker-assisted improvement of bacterial blight resistance in parental lines of Pusa RH10, a superfine grain aromatic rice hybrid. Molecular Breeding. 2010;26: 293–305.
  57. 57. Arunakumari K, Durgarani CV, Satturu V., Sarikonda KR, Chittoor PDR, Vutukuri B., et al. Marker-assisted pyramiding of genes conferring resistance against bacterial blight and blast diseases into Indian rice variety MTU1010. Rice Science. 2016;23(6): 306–316.
  58. 58. Balachiranjeevi CH, BhaskarNaik S, Abhilash KV, Harika G, Mahadev SHK, Hajira Sk, et al. Marker-assisted pyramiding of two major, broad-spectrum bacterial blight resistance genes, Xa21 and Xa33 into an elite maintainer line of rice, DRR17B. PLoS ONE. 2018;13(10): e0201271. pmid:30359375
  59. 59. Ramalingam J, Savitha P, Alagarasan G, Saraswathi R and Chandrababu R. Functional marker assisted improvement of stable cytoplasmic male sterile lines of rice for bacterial blight resistance. Frontiers in Plant Science. 2017;8: 1131 pmid:28706525
  60. 60. Das G, Rao GJN, Varier MAP and Dokku P. Improved Tapaswini having four BB resistance genes pyramided with six genes/QTLs, resistance/tolerance to biotic and abiotic stresses in rice. Scientific reports. 2018;8: 2413. pmid:29402905
  61. 61. Kumar A, Nitika S, Shalabh D, Shailesh Y, BPM Swamy AS. Marker-assisted selection strategy to pyramid two or more QTLs for quantitative trait-grain yield under drought. Rice. 2018;11: 35 pmid:29845495
  62. 62. Neeraja CN, Maghirang RR, Pamplona A, Heuer S, Collard BCY, Septiningsih EMet al. A marker-assisted backcross approach for developing submergence-tolerant rice cultivars. Therotical and appliced genetics. 2007;115(6): 767–776. pmid:17657470
  63. 63. Renu S, Yashi S, Suchit Xalaxo, Verulkar S, Neera Y, Shwetha S. et al. From QTL to variety- harnessing the benefits of QTLs for drought, flood and salt tolerance in mega rice varieties of India through a multi-institutional network. Plant Science. 2016;242: 278–287 pmid:26566845
  64. 64. Ho VT, Thomson MJ and Ismail AM. Development of salt tolerant IR64 near isogenic lines through marker-assisted breeding. Journal of crop science and biotechnology. 2016;19: 373–381.
  65. 65. Singh VK, Brahma Deo Singh, Amit Kumar, et al. Marker-assisted introgression of saltol QTL enhances seedling stage salt tolerance in the rice variety “Pusa Basmati 1. International Journal of Genomics. 2018;8319879: 12
  66. 66. Swathi G, Durga R, CV Md, J. SM, Vanisree S., Anuradha Ch., et al. Marker-assisted introgression of the major bacterial blight resistance genes, Xa21 and xa13, and blast resistance gene, Pi54, into the popular rice variety, JGL1798. Molecular Breeding. 2019;39: 58.
  67. 67. Kumar N, Harpinder SR, Ryan WH, Xianming C, Timothy DM, Kulvinder SG. Targeted and efficient transfer of value-added genes into a wheat variety. Mol Breeding. 2017;37: 68
  68. 68. Yadav S, Sandhu N, Majumder RR, Dixit S, Kumar S, Singh SP, et al. Epistatic interactions of major effect drought QTLs with genetic background loci determine grain yield of rice under drought stress. Scientific Reports. 2019; 22: 1–3 pmid:30796339
  69. 69. Sanchez AC, Brar DS, Huang N, Li Z and Khush G. S. Sequence Tagged Site marker-assisted selection for three bacterial blight resistance genes in rice. Crop Science. 2000; 40: 792–797
  70. 70. Narsai R, Chuang Wang, Jie Chen, Jianli Wu, Huixia Shou & James Whelan. Antagonistic, overlapping and distinct responses to biotic stress in rice (Oryza sativa) and interactions with abiotic stress. BMC Genomics. 2013;14: 93 pmid:23398910