Micro RNAs (miRNAs) are a class of non-coding, short RNAs having important roles in regulation of gene expression. Although plant miRNAs have been studied in detail in some model plants, less is known about these miRNAs in important fruit plants like banana. miRNAs have pivotal roles in plant growth and development, and in responses to diverse biotic and abiotic stress stimuli. Here, we have analyzed the small RNA expression profiles of two different economically significant banana cultivars by using high-throughput sequencing technology. We identified a total of 170 and 244 miRNAs in the two libraries respectively derived from cv. Grand Naine and cv. Rasthali leaves. In addition, several cultivar specific microRNAs along with their putative target transcripts were also detected in our studies. To validate our findings regarding the small RNA profiles, we also undertook overexpression of a common microRNA, MusamiRNA156 in transgenic banana plants. The transgenic plants overexpressing the stem-loop sequence derived from MusamiRNA156 gene were stunted in their growth together with peculiar changes in leaf anatomy. These results provide a foundation for further investigations into important physiological and metabolic pathways operational in banana in general and cultivar specific traits in particular.
Citation: Ghag SB, Shekhawat UKS, Ganapathi TR (2015) Small RNA Profiling of Two Important Cultivars of Banana and Overexpression of miRNA156 in Transgenic Banana Plants. PLoS ONE 10(5): e0127179. https://doi.org/10.1371/journal.pone.0127179
Academic Editor: Yun Zheng, Kunming University of Science and Technology, CHINA
Received: February 9, 2015; Accepted: April 13, 2015; Published: May 11, 2015
Copyright: © 2015 Ghag et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: Department of Atomic Energy, Govt. of India funded the study. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
A large number of small RNAs have been identified in plants which play significant roles in the genetic regulation at the post transcriptional level [1, 2]. These small RNAs, majority of them comprising the members of micro RNA (miRNA) family are transcribed as primary-miRNA transcripts by RNA polymerase II. These are then processed by dicer-like 1 (DCL1) proteins to ultimately form single stranded non coding 21–24 nucleotide molecules that get incorporated into the RNA Induced Silencing Complex (RISC). The single stranded small RNA guides the RISC complex to the cognate mRNA transcript and cleaves it bringing about sequence specific post transcriptional gene silencing . Huge amount of data accumulated in the last decade proves the involvement of small RNAs in growth, development, abiotic and biotic stresses regulation in plant . Studies demonstrating the vital role of small RNAs in model plants have been carried out extensively but the easy availability of high throughput sequencing technologies have now made this possible in other economically important crop plants also. Small RNA profiling has been attempted previously in rice [5, 6], tomato , brassica , mulberry , potato  and maize  to study the conserved and novel families of miRNA in different cultivars of these plants.
Banana is the fourth most important crop after the major cereal crops with a world production of 1.1 billion metric tonnes per year (http://www.statista.com/statistics/264001/worldwide-production-of-fruit-by-variety/). Bananas are grown in more than 120 countries across the globe and are regarded as an important food security crop. There are more than 50 different cultivars grown in the Indian subcontinent each bearing unique fruit characteristics . We have performed small RNA profiling of two commercially important dessert cultivars of banana—Grand Naine (AAA subgroup Cavendish) and Rasthali (AAB subgroup Silk).
Grand Naine is one of the most commonly cultivated commercial Cavendish cultivar in the world. It is a relatively tall banana plant with long bunch bearing 200–220 fruits. The fruits are yellowish green, delicious to eat and have good keeping quality. Rasthali is cultivated mostly in India and is popular in local and world market as a premium dessert variety similar to Cavendish bananas . The fruit is medium sized with ivory yellow colour flesh within a thin skin. It has a unique sweet acidic taste . Cultivar Rasthali is highly susceptible to Fusarium wilt disease whereas Grand Naine is resistant to race 1 of Fusarium oxysporum f. sp. cubense (the causal agent of Fusarium wilt of banana). The recent unearthing of the banana genome [15, 16] has led to renewed interest in performing genome wide studies to understand the variability associated with disease resistance, fruit characteristics and environmental stress tolerance. In this study, we have carried out small RNA sequencing of two cultivars of banana belonging to two different subgroups to determine the difference in the quantum of common miRNAs and identify the novel genome specific miRNAs in the two samples.
Among the thoroughly studied miRNAs in model plants is the miRNA156 which is highly conserved and expressed mostly in young plant parts and play important role in plant growth and development . miRNA156 expression is found to be high during juvenile stage of plant growth and it later decreases as the plant matures . Overexpression of miRNA156 in Arabidopsis, maize and rice results in gross morphological changes in the plant. miRNA156 targets the Squamosa Promoter binding protein Like (SPL) family of genes having at least one Squamosa Promoter Binding (SBP) domain. These proteins regulate the expression of SPL proteins involved in plant development such as phase transition , flowering pattern , plant fertility  and secondary metabolite production . The role played by miRNA156 in early plant growth and the difference in the phenotypic characteristics of the two banana varieties under study compelled us to investigate its role in banana. Thus as an extension of small RNA sequencing study, we overexpressed native miRNA156 gene in transgenic banana plants to establish its importance in banana growth and development.
Materials and Methods
Suckers were obtained from the two banana (Musa spp.) cultivars namely Grand Naine (subgroup: Cavendish) and Rasthali (subgroup: Silk) having triploid genome composition and belonging to AAA and AAB group respectively. The suckers were grown under green house conditions. Tissue from the fresh fully expanded leaves was collected and used for small RNA isolation.
Isolation of small RNA from banana leaf tissue and Illumina sequencing
Total RNA was extracted from the fully expanded fresh banana leaves using Concert Plant RNA Reagent (Invitrogen, USA). The samples were incubated for 5 min at room temperature before separation of the supernatant. The supernatant was treated with 5M sodium chloride and the aqueous phase was extracted using chloroform. The chloroform extract was precipitated by adding MgCl2 (10 mM) and 2.5 volumes of chilled absolute ethanol. The samples were incubated at -20°C for 30 minutes and centrifuged at 16000 g for 20 minutes at 4°C to pellet down the total RNA. Total RNA obtained was dissolved in 45 μl RNase free water at 65°C. Further, the small RNA fraction was isolated from the total RNA using mirVana miRNA Isolation Kit (Ambion, USA) following the manufacturers instructions. Small RNA bound to the column was eluted in 40 μl RNase free water). Small RNA was separated based on the size using denaturing gel. Later the 5’ and 3’ adapters were ligated to the small RNAs and reverse transcribed and PCR amplified. Quality and quantity of the RNA was determined by using Bioanalyzer. The library construction and sequencing was performed at Genotypic Technology (P) Ltd (Bangalore, India) on the Illumina GAIIX platform.
Bioinformatic analysis banana miRNAs
After the adapter sequences were trimmed, sequences with low quality or length less than 15 nucleotides were removed. The small RNA sequences obtained were compared with the miRBase database  and the NCBI nucleotide database to remove housekeeping small RNAs like tRNA, rRNA and small nucleolar RNA. Banana genome sequence database available at http://banana-genome.cirad.fr/ was used to analyze the genomic origins of the remaining small RNAs and subsequently small RNAs unique to each cultivar and similar in both the cultivars were identified.
For prediction of miRNA targets of the identified conserved and predicted novel miRNAs, miRanda target prediction tool was used. miRNA sequences were fed as input along with Musa acuminata mRNA sequences using the “strict” settings (Require strict alignment in the seed region (offset positions 2–8). This option prevents the detection of target sites which contain gaps or non-canonical base pairing in this region). miRNA hits having minimum free energy < = -40 are assumed to be most probable targets for reported miRNA.
Small RNA sequence data derived from Rasthali and Grand Naine have been deposited at the National Centre for Biotechnology Information Gene Expression Omnibus archive under the Bioproject PRJNA274803 (accession numbers GSE65728 and GSE65727 respectively).
Isolation and cloning of miRNA156
Precursor miRNA (pre-miRNA) sequences comprising the stem loop of OsmiR156a (accession no.: MI0000653) from rice was used as template to identify similar pre-miR156 sequences in the banana genome database. Several partial hits were examined in silico. These sequences were analyzed for their capacity to fold into typical miRNA hairpins. Homolog of one of these sequences was found in the EST database of banana (accession no.: ES434836). This sequence was aligned with the genomic sequence derived from Musa acuminata subspecies malaccensis (genomic location: GSMUA_Achr7G05222_001) sourced from banana genome hub and primers were designed in the complementary regions. A 175 bp sequence encompassing the stem loop sequence of miRNA156 gene was subsequently amplified from genomic DNA derived from banana cv. Rasthali leaves using these primers. This sequence was first cloned into pTZ57R/T cloning vector and then subsequently subcloned in p1301-MusaDAD114 in place of MusaDAD1 coding sequence to generate p1301-MusamiRNA156 binary vector. This construct was electroporated into Agrobacterium tumefaciens strain EHA105 for use in banana genetic transformation.
Generation of transgenic banana plants
The transgenic banana plants were generated by Agrobacterium-mediated genetic transformation method as described previously [23, 24]. The Agrobacterium culture harbouring p1301-MusamiRNA156 binary vector was cocultivated with embryogenic cell suspension cultures of banana cv. Rasthali. The cocultivated banana cells were aspirated onto the glass fibre filters and placed on the medium supplemented with acetosynringone (ACS). After 3 days the cells along with the filters were transferred onto medium containing cefotaxime (400 mg/L) and incubated for another 3 days. On the seventh day post cocultivation the cells were transferred onto medium supplemented with cefotaxime (400 mg/L) and hygromycin (5 mg/L). The embryos developed on the hygromycin based medium were subcultured for three rounds after every 3 weeks. The embryos were germinated in medium containing 0.5 mg/L 6-benzylaminopurine (BAP). The shoots were multiplied in medium containing BAP and rooted in medium added with 1-naphthalene acetic acid (NAA). The rooted plantlets were hardened in green house under controlled conditions.
Histochemical GUS staining
The GUS activity in the transgenic banana plants overexpressing MusamiRNA156 was detected by histochemical staining with 5-bromo-4-chloro-3-indolyl-β-D-glucuronic acid (X-Gluc). The leaf tissue sample from transgenic banana plant and untransformed control was incubated overnight at 37°C in staining buffer (1 mM X-Gluc, 100 mM sodium phosphate (pH 7.0), 10 mM EDTA, 0.5 mM K4Fe(CN)6, 0.5 mM K3Fe(CN)6, and 0.1% (v/v) Triton X-100) as described previously . Following day the samples were fixed in 70% ethanol and photographed.
Detection of precursor miRNA156 sequence by RT-PCR
Total RNA was extracted from the leaf tissue of a selected transgenic banana plant and an untransformed control banana plant as described above. cDNA was synthesized using oligo (dT)12–18 primer and AccuScript Reverse Transcriptase (Invitrogen, USA). The cDNA preparation was diluted appropriately before being used for PCR amplification. PCR was carried out using the following primers: miRNA156 Fw: AGGAGATCGGCGACGGATA miRNA156 Rv: GGGGGTTGACAGAAGAGAGTG. Following amplification protocol was performed: 94°C for 5 min followed by 35 cycles each with 94°C for 1 min, 56°C for 1 min and 72°C for 45 sec with a final extension 72°C for 5 min. The amplified products were separated on 1.5% (w/v) TAE-Agarose gel and visualized using ethidium bromide.
Transgenic banana plants along with the untransformed control banana plants were hardened together in the green house under controlled conditions. The plants were observed for change in the height, leaf anatomy and root growth after 1 month. The plants were further maintained in green house and observed for morphology after 3 and 6 months period. The abaxial surface of the leaves was observed under microscope after 1 month to study the change in the leaf cellular arrangement.
High throughput sequencing of miRNAs in banana cultivars
To investigate the difference in the small RNA profiles with regard to their quantum and identity in two cultivars of banana—Grand Naine (GN1) and Rasthali (NR1), belonging to subgroups Cavendish (AAA) and Silk (AAB) respectively, small RNA sequencing was carried out using Illumina sequencing platform. A total of 4981328 and 8889596 reads were obtained from Grand Naine and Rasthali small RNA libraries respectively (Table 1). A total of 190680 and 399953 sequences were filtered out after 3’ adaptor removal and length range filtering. Among these the most abundant small RNAs were 24-nt long followed by 21 nt long sequences (Fig 1).
Identification of conserved and novel miRNAs
For identification of conserved miRNAs in the two banana cultivars, the small RNA sequences obtained were compared against known mature plant miRNA sequences deposited in the miRBase database. A total of 127and 163 unique miRNA sequences were identified in Grand Naine and Rasthali cultivars (Table 2). These comprised 55 and 71 families of microRNAs respectively in Grand Naine and Rasthali cultivars (S1 Table). Most of these miRNAs displayed good sequence conservation with miRNAs identified in other plants. To identify novel miRNA sequences in our libraries, reads which were filtered in after 3’ adaptor removal and length range filtering and which did not align to mirBase were analysed using Mireap along with banana genome (Musa acuminata) database. Mireap identified novel microRNA based on alignment, secondary structure, free energy and location on the precursor arm. 55% of reads that did not map to mirbase were successfully mapped on to banana genome in Rasthali whereas this number was a close 56% in case of Grand Naine. We predicted 81 novel microRNAs in Rasthali and 43 in Grand Naine (Table 3; S2 Table).
Identification of cultivar specific miRNAs
Owing to the fact that the cultivars analysed belonged to different subgroups of banana, we also tried to identify miRNAs which were specific to each cultivar and those which are common to both of them. Out of a total of 163 and 127 miRNA sequences identified in Rasthali and Grand Naine cultivars as mentioned above, 72 were common among the two whereas 91 and 55 miRNAs were respectively unique to Rasthali and Grand Naine (S1 Table).
Since plant miRNAs possess perfect or near-perfect complementarity to their respective target-site, usage of computational tools allows effective prediction of the target sequences. To identify putative targets of conserved and cultivar specific miRNAs we conducted a search for putative target genes by using miRanda tool and transcriptome sequene libraries of banana maintained in NCBI database. A strict selection criteria was used to identify putative miRNA targets wherein hits having minimum free energy < = -40 were considered exclusively. Using this criteria a total of 173 putative targets were predicted for selected known and novel miRNAs in Grand Naine (S3 Table; and S4 Table) and 161 targets were predicted for selected known and novel miRNAs in Rasthali (S5 Table; and S6 Table).
Generation of transgenic banana plants
A 175 bp sequence encompassing the predicted stem loop region of MusamiRNA156 gene was amplified from genomic DNA of banana cv. Rasthali, cloned into binary vector (Fig 2A) and was transformed into transgenic banana plants using Agrobacterium tumefaciens EHA105. Embryogenic cells of banana used as explants in this transformation procedure formed embryos on the medium supplemented with hygromycin (Fig 2B). These embryos were subcultured for three rounds on hygromycin supplemented selection medium. Putatively transformed embryos were then germinated and transferred to shoot multiplication medium. Multiple shoots of each transformation event obtained were later rooted in medium containing NAA (Fig 2C and 2D).
(A) Schematic representation of the T-DNA region of the binary vector p1301-MusamiRNA156 depicting the insertion of the stem-loop sequence of MusamirRNA156 primary transcript in the multiple cloning site of modified pCAMBIA-1301 vector downstream of Zea mays polyubiquitin promoter. Putatively transformed embryos selected on the medium supplemented with hygromycin (B) followed by germination. The shoots were multiplied in medium containing BAP to form the clonal copies of the shoots (C) which were further rooted in NAA based medium (D).
Histochemical GUS staining
The leaf discs were cut out from leaf lamina of p1301-MusamiRNA156 derived banana plant and untransformed control banana plant were incubated overnight in GUS buffer. On fixing the leaf discs with 70% ethanol showed deep blue coloration in the leaf discs of p1301-MusamiRNA156 derived banana plant whereas no staining was seen in the leaf discs of untransformed control banana plant (Fig 3A).
(A) The expression of the GUS cassette in transgenic banana lines was determined by histochemical staining of the leaf discs and showed the presence of intense blue coloration in the transgenic lines (OV) whereas no colour was observed in the untransformed control plants (UC). (B) The quantum of the primary transcript of MusamirRNA156 in the transgenic banana line and untransformed control plant was determined by RT-PCR wherein a 175 bp product was seen in both untransformed control plant and selected transgenic line with later being brighter. (M- 1kb DNA ladder; N- RT-PCR control)
Detection of pri-miRNA156 sequence by PCR
To investigate the expression of the pri-MusamiRNA156 in transgenic banana plants, total RNA extracted (5 μg) from the p1301-MusamiRNA156 derived banana plant and untransformed control banana plant was reverse transcribed into cDNA and used as template in the PCR amplification reaction. A single amplified product of 175 bp was clearly visible in both the samples (Fig 3B). The level of expression of this band in p1301-MusamiRNA156 derived banana plant was significantly higher than in the untransformed control banana plant signifying efficient overexpression of MusamiRNA156 in transgenic banana plants.
In order to investigate the role of MusamiRNA156 in the vegetative tissues of banana we undertook overexpression of MusamiRNA156 in transgenic banana plants. These transgenic banana plants showed stunted growth as compared to untransformed controls from initial stages of growth. There was significant difference in the height of the two groups of plants under study (Fig 4A). A transgenic banana plant uprooted from soil 1 month post hardening showed poor root development (Fig 4B). The length and number of roots in the transgenic banana plant was notably lower than the untransformed control plant. Transgenic banana plants accumulating higher levels of MusamiRNA156 showed significant difference in the leaf morphology. The width and length of the fully expanded leaf of transgenic banana plant was significantly reduced (Fig 4C). The leaves were thick and showed dark green streaks with a unique shape. Later the plants were transferred to bigger pots and maintained in green house for three months wherein the transgenic banana plant continued to show reduced height and reduced leaf length and width (Fig 4D, 4E and 4F). A simple stereomicroscope image of the abaxial side of the banana leaves derived from transgenic and control banana plants showed clear difference in the arrangement of cells in the longitudinal rows with the transgenic leaves showing more randomised pattern (Fig 4G and 4H). This difference in the morphology of leaf surface clearly indicated important roles for MusamiRNA156 in leaf growth and development in banana.
(A) Gross difference in the growth of the untransformed banana plant and p1301-MusamiRNA156 derived transgenic banana plant. (B) Poor development of the root system in the two plants 1 month post hardening. Difference in the leaf anatomy of the untransformed banana plant and p1301-MusamiRNA156 derived transgenic banana plant (C, D and E). Growth difference seen in the untransformed banana plant and p1301-MusamiRNA156 derived banana plant, three months post hardening (F). Microscopic examination of the leaf cellular pattern seen in the untransformed banana plant and p1301-MusamiRNA156 derived transgenic banana plant (G and H).
MiRNAs have recently emerged as a novel class of gene regulators. Several studies over the last decade have indicated their importance in normal growth and development of plants . Banana being the most important fruit crop of the world (in terms of consumption and the quantum of total production weight), understanding the functions of diverse miRNAs in regulating growth and development of banana is necessary. Since most of the edible bananas have a genomic lineage derived from the ancient Acuminata and Balbisiana genomes , we have carried out small RNA sequencing of two cultivars with contrasting genome composition and unique vegetative and fruit characteristics. Further, to elucidate the significance of microRNA expression in different cultivars, we overexpressed one of the most commonly studied and abundant microRNAs (MusamiRNA156) in transgenic banana plants. The fact that small RNA profiling of the two cultivars indicated a 5 fold difference in levels of MusamiRNA156 in young leaves justified its overexpression in transgenic banana plants.
Among the two cultivars that we chose (for sequencing of their small RNA), cv. Grand Naine has three A genomes (derived from Acuminata lineage) and cv. Rasthali possesses two A genomes and a B genome (derived from Balbisiana lineage). We selected these two cultivars based on their elite fruit characteristics and the economic importance. Investigations into the relative profiles of major miRNAs in the two cultivars are expected to lead to better understanding of the major physiological processes in the two cultivars. Taking advantage of the newly sequenced Acuminata and Balbisiana genomes [15, 16] we could detect several conserved miRNAs in these libraries. Additionally, a number of novel miRNAs were predicted in each of the cultivar using commonly employed algorithms. Between the two cultivars approx. 44 to 53% miRNAs identified were found to unique to each cultivar. Thus, even though the two cultivars theoretically share 66% of their genome the percentage of unique miRNAs indicated significant cultivar specific evolutionary changes in miRNA identity and profiles.
Like in other such studies, the small RNA sequencing of these two cultivars showed that the 24 nt length miRNA class dominates in the dataset by a good majority [8, 9, 10]. This further indicates that in banana also small RNA directed heterochromatin silencing is an important phenomenon in gene regulation [7, 28]. In a complete contrast to these findings, when a double stranded RNA cassette is expressed in banana , majority of small RNAs belong to 21 and 19 nt class. This study performed in cv. Rasthali conclusively proves the earlier observations in other plants that unique DICER proteins process RNA hairpins with different origins [29, 30].
To extend the findings of this study, we chose to overexpress one microRNA which showed significant difference in the abundance in the two libraries. When MusamiRNA156 was oevrexpressed in cv. Rasthali using its stem-loop sequence amplified from cv. Rasthali, we observed significant growth alterations in the transgenic lines indicating the involvement and the importance of miRNA156 in banana growth and development. The altered appearance of the transgenic lines could be seen even after 6 months of growth in a contained greenhouse. In contrast to other plants where miRNA156 has been overexpressed before, the growth penalty was not so severe in banana. This was despite the fact that we noticed strong overexpression of the MusamiRNA156 transcript derived from the T-DNA in transgenic lines as compared to equivalent controls.
The findings of this study will help in better understanding of a myriad of physiological processes in banana. The importance of small RNA based regulation of gene functions in plants has been recognized in the last decade. This study describing the small RNA profile of two important cultivars of banana will facilitate investigations into the roles played by small RNAs in economically important banana traits like fruit ripening and disease resistance.
S1 Table. Predicted conserved miRNA in Grand Naine and Rasthali.
S2 Table. Predicted novel miRNA in Grand Naine and Rasthali.
S3 Table. Grand Naine conserved miRNA targets.
Authors would like to thank Dr. S. P. Kale, Head, Nuclear Agriculture & Biotechnology Division, BARC for his support and encouragement. This work was funded by Department of Atomic Energy, Government of India.
Conceived and designed the experiments: SBG UKSS TRG. Performed the experiments: SBG UKSS. Analyzed the data: UKSS SBG. Contributed reagents/materials/analysis tools: TRG UKSS. Wrote the paper: SBG UKSS TRG.
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