Figures
Abstract
Bemisia tabaci Mediterranean (Gennadius) (Hemiptera: Aleyrodidae) is an economically important insect pest worldwide. Previously, we have reported that most B. tabaci Mediterranean (MED) populations occurring in greenhouse tomatoes in Korea have been displaced from well-differentiated two genetic clusters (C1 and C2) to one (C2) during one-year period. To elucidate factors responsible for this phenomenon, we compared life history parameters of these two different genetic clusters through single and cross mating experiments on two different host plants, cucumber and tobacco, at 26°C. Intrinsic rate of increase (r), finite rate of increase (λ), and net reproductive rate (Ro) were significantly higher in the dominating cluster (C2) (0.247, 1.280, and 192.402, respectively on cucumber; 0.226, 1.253, and 133.792, respectively on tobacco) than in the other cluster (C1) (0.149, 1.161, and 50.539, respectively on cucumber; 0.145, 1.156, and 53.332, respectively on tobacco). Overall performances of cross mating groups, C2fC1m (C2 female × C1 male) and C1fC2m (C1 female × C2 male), were in-between those of C2 and C1, with C2fC1m performing better than C1fC2m. Thus, maternal inheritance appeared to be significantly associated with their life history parameters, with partial involvement of paternal inheritance. Our results demonstrated that the rapid displacement of genetic clusters of B. tabaci MED populations was clearly associated with differences in their life history parameters.
Citation: Park Y, Park Y-g, Lee J-H (2021) Comparison of life history parameters of two different genetic clusters of Bemisia tabaci MED (Hemiptera: Aleyrodidae) through single and cross mating. PLoS ONE 16(3): e0248819. https://doi.org/10.1371/journal.pone.0248819
Editor: Ramzi Mansour, University of Carthage, TUNISIA
Received: September 15, 2020; Accepted: March 6, 2021; Published: March 26, 2021
Copyright: © 2021 Park 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: The data contained within the manuscript and Supporting Information files.
Funding: This research was funded by grants from the Rural Development Administration (project no. PJ01194804). Also, this study was partially supported by the Brain Korea 21 Plus.
Competing interests: The authors have declared that no competing interests exist.
Introduction
The sweet potato whitefly, Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae), causes significant economic damage to major vegetables, fruits, and ornamental crops worldwide [1–3]. In Korea, B. tabaci MED (Mediterranean or biotype Q) is currently predominant in most regions, whereas B. tabaci MEAM1 (Middle East-Asia Mininor 1) and B. tabaci JpL are only present in a few regions [4, 5]. Specifically, the B. tabaci MEAM1 is found in some agricultural-producing region and JpL (Lonicera japonica) is only present in regions with host plants such as the Japanese honeysuckle (Lonicera japonica Thunb).
Previously, we have reported that there are two clusters of B. tabaci MED populations in greenhouse tomatoes and that their genetic clusters have been displaced into one genetic cluster in most regions [6]. We hypothesized that the dominating genetic cluster (cluster 2) population, because of higher fitness, could efficiently compete out the other cluster (cluster 1) which was prevalent at the beginning. Potentially different insecticide resistance of these genetic clusters, if any, might be also partly involved in genetic cluster change. Plant virus transmission rates and endosymbionts can also affect host’s biology and physiology, thus being able to change genetic cluster [7, 8]. Similar phenomenon has been reported previously in Australia [9] and China [10]. However, there have been no follow-up studies that delve into causes. Life table analysis is considered as one of the most effective analytical tools to evaluate life history parameters of insects [11] because life table parameters provide comprehensive understanding of fitness of insect species [12–15]. More specifically, intrinsic rate of increase (r) is a basic parameter for describing population traits [16].
The objective of this study was to provide more evidence for the change in compositions of genetic cluster that resulted in dominance of one genetic cluster of B. tabaci MED in Korea. To test our hypothesis that differences in fitness between two genetic clusters contributed significantly to this change, we compared life history parameters of two different genetic clusters of B. tabaci MED on two different host plants, cucumber and tobacco, through single and cross mating.
Materials and methods
B. tabaci MED cultures and plants
We used two different representative genetic cluster populations of B. tabaci MED cluster 1 and cluster 2, collected from tomato greenhouses in Pyeongtaek and Sejong, respectively, in Korea in 2018 [6]. We confirmed genetic structures of these populations according to the following procedures. PCR primers were used to amplify microsatellite DNA loci 11, 53 [17], 68, 145, 177 [18], BT4, BT159 [19], and Bem23 [20] using individual gDNAs of B. tabaci MED as templates. PCR reaction conditions followed the protocol by Dalmon et al. [18]. PCR products were analyzed using an ABI 3730xl (Applied Biosystems Inc., Foster, CA, USA) at NICEM (Seoul, Korea). Then 1 μl PCR product was diluted with 8.5 μl of Hi-Di formamide (Applied Biosystems Inc.) and 0.5 μl Genescan ROX-500 size standard (Applied Biosystems Inc.). These genetic data were analyzed using GENEMAPPER v.3.7 (Applied Biosystems Inc.), GenAlEx v.6.5 [21], STRUCTURE v.2.3.2 [22], and STRUCTURE HARVESTER Web v.0.6.93 [23].
Host plants used in this study were cucumber (Cucumis sativus L.) and tobacco (Nicotiana tabacum L.). This is because B. tabaci prefers plants with pubescent leaves for oviposition and feeding [24, 25]. These two species are among the most preferred host plants of B. tabaci [26]. Both B. tabaci MED populations were separately maintained on both cucumber and tobacco plants under the same experimental conditions. Bemisia tabaci colonies were reared in cages (40 × 40 × 40 cm) at 26 ± 1°C with relative humidity (RH) of 50 ± 10% and a photoperiod of 14:10 (L:D) h. These colonies served as stock colonies for experiments. The purity of each culture was monitored for every generation by microsatellite analysis. After ten generations of rearing, B. tabaci colonies were used for experiments.
Life table experiments
Life table experiments and analyses were conducted following Maia et al. [27, 28]. Data collection was made from the onset of oviposition of adults until completion of development of their progeny. Followings are our experimental procedures.
To obtain newly emerged virgin adults of B. tabaci (< 12-h-old) [29–32], plant leaves with pupae (late 4th instar nymphs with red eyes) were excised from stock colonies of two genetic clusters. The cut of leaf petioles was maintained on a moistened pad until adult emergence. The sex of newly emerged adults was determined under a stereomicroscope (× 200). These adults were separated by sex and placed into insect breeding dishes (10 cm in diameter and 4.2 cm in height) (SPL Life sciences, Pocheon, Korea) before the experiments were initiated.
Life table experiments were conducted for single and cross mating groups between two different genetic clusters of B. tabaci MED on two different host plants, cucumber and tobacco (Table 1). All experiments were conducted at 26 ± 1°C, 50 ± 10% RH, and a photoperiod of L:D (14:10) h in an incubator. Preparation of single and cross mating groups was made using the ‘single-pair mating’ method [33, 34]. For single-pair mating, we used one female and two male adults of B. tabaci in each replicate to assure successful copulation. Each treatment had 30 pairs of B. tabaci MED adults. All pairs of B. tabaci adults were placed separately on a leaf disc (5 cm in diameter) which was placed on a moistened pad on the bottom of an insect breeding dish (5 cm in diameter and 1.5 cm in height) (SPL Life sciences, Pocheon, Korea). Adults were transferred onto fresh leaf discs in new insect breeding dishes using brushes (Brush 320 Series No. 1, Hwahong, Hwaseong, Korea) every two days. Dead male adults were replaced from colonies. Oviposition and post-oviposition periods, fecundity, and longevity of female adults were observed and counted daily until they died. The survival of offspring for each treatment group was checked for all progeny of individual female adults every two days until they died or became adults. Emerged B. tabaci adults were counted and their sex was identified under a stereomicroscope (× 200). Since examination for progeny was made for each female adult with 30 adults for each treatment group, survival rate and sex ratio of all offspring were calculated for each treatment group with 30 replications. To observe developmental period from egg to adult for offspring in each treatment group, a total of 60 eggs were randomly selected among the above described progeny of each group. To ascertain representation of proper progeny of each group, three to five eggs were selected over various randomly allocated dates. Marking was made on lids of insect breeding dishes to identify selected eggs with a permanent marker pen (Name pen X, Monami Co. Ltd, Yong-in, Korea). Their development period was observed daily until they died or became adults. The pad on the bottom of an insect breeding dish was wetted with distilled water using pipette tips every day to maintain healthy leaves.
Proportion of genetic cluster
To characterize the genetic cluster of each treatment group (i.e., single and cross mating), a total of 20 female individuals from each treatment group were examined using previously described microsatellite analysis procedure. We used a burn-in of 60,000 Markov Chain Monte Carlo (MCMC) steps and a burn-in period of 600,000. We used an ancestry model allowing for admixture and correlated allele frequency among treatments. Log-likelihood estimates were calculated for K = 1 to 10 with ten replicates of each. Structure Harvester analysis was performed to detect the likelihood of the number of occurring clusters among individuals of B. tabaci MED.
Body weight and length of adult B. tabaci
Body weight and length were measured for 100 female and 100 male adults of B. tabaci selected randomly from each treatment group. Adults were frozen. Their body weights and lengths were measured. The body length was measured from the top of the head to the end of the abdomen using a Leica Application Suite X program (Leica Microsystems, Inc., Buffalo Grove, IL, USA). The body weight was measured using a BM-22 microbalance (A&D Co. Ltd., Tokyo, Japan) with 10 individuals as a group.
Statistical analysis
A two-way analysis of variance (ANOVA) was conducted to determine effects of clusters and host plants on female adult longevity, fecundity, oviposition period, adult body weight, adult body length, offspring’s sex ratio, and offspring’s survival rate using PROC ANOVA in SAS [33]. PROC GLM in SAS [35] was used for development period of offspring because of different sample sizes among treatments. Mean separation was conducted by Tukey’s studentized range test at p < 0.05.
Life table analysis
Fertility life table analysis and jackknife estimation were conducted using the R program (R Development Core Team, 2019) of Maia et al. [28]. Required data for the analysis were the number, longevity, and daily fecundity of female adults from the parent, and the development period, survivorship, and sex ratio from the offspring. Age-specific survival rate (lx) and fecundity (mx) were calculated as follows:
Cumulative survival estimation comprises survival of the offspring multiplied by the survival during adult stage which is the number of survived females up to time x (NSFx) and the initial number of females for each treatment group (NF). It is necessary to calculate the number of eggs laid at each pivotal age (NEGGx) by the sex ratio of offspring (SR) [27]. To calculate the pivotal age (female adult age plus 0.5), average developmental period of the offspring was used [27, 28]. Jackknife estimation and Tukey’s studentized range test for population parameters were conducted for all treatment groups for both host plants.Population parameters were as follows [27]:
The intrinsic rate of increase (r)
The finite rate of increase (λ)
The net reproductive rate (Ro)
The mean generation time (T)
Results
Proportion of genetic cluster in experimental B. tabaci MED groups
In C1 and C1fC2m groups, cluster 1 was dominant. By contrast, cluster 2 was dominant in C2 and C2fC1m groups (Table 2). In single mating, the ratio of the cluster 1 and 2 was over 90 and 70% in C1 and C2, respectively. In cross mating, the cluster 1 and 2 ratio was over 70% in C1fC2m and C2fC1m, respectively. The genetic cluster proportion of each treatment group showed similar pattern on cucumber and tobacco (Fig 1). The genetic diversity indices obtained from all the eight different microsatellite loci of B. tabaci MED screened are given in S1 Table.
Each treatment is represented by a vertical line with different colors representing probabilities assigned to each of the genetic clusters. Cluster 1 and Cluster 2 are shown in blue and orange, respectively.
Life history parameters
Fecundity, longevity, ovipostion period, survival rate, sex ratio, development period, body weight, and body length of B. tabaci MED were significantly different among genetic clusters and between host plants. An interaction effect was also found between genetic cluster and host plants for some characteristics such as fecundity, survival rate, and sex ratio of offspring (S2 Table).
Overall, biological characteristics of B. tabaci MED were significantly superior in C2, the lowest in C1, and those of mixed mating groups were in-between. Maternal inheritance was significantly associated with their life history parameters, with partial involvement of paternal inheritance. Total fecundity was the highest for C2 (292.8 ± 2.31 and 244.9 ± 2.29 eggs on cucumber and tobacco, respectively) (mean ± SE), followed by that for C2fC1m, C1fC2m, and C1 on both host plants (Table 3). Female longevity was significantly longest for C2fC1m followed by that for C2 and C1fC2m. The survival rate of offspring (egg to adult) was rather similar among genetic cluster groups (Table 4). Sex ratio (female %) was distinctively higher in C2. It was the lowest in C1. Those of mixed mating groups were in-between. The developmental period (female + male, female, and male) on both host plants from short to long was in the following order: C2, C2fC1m, C1fC2m, and C1 (Table 5). Adult body weight and body length were in the following order: C2 > C2fC1m > C1fC2m > C1 (Table 6).
Overall, C2 outperformed other groups regarding life history characteristics on both host plants (Table 7). Intrinsic rate of increase, finite rate of increase, and net reproductive rate (0.247, 1.280, and 192.402, respectively, on cucumber; 0.226, 1.253, and 133.792, respectively, on tobacco) of C2 were distinctively higher than those of C1 (0.149, 1.161, and 50.539, respectively, on cucumber; 0.145, 1.156, and 53.332, respectively, on tobacco). In cross mating, C2fC1m (0.210, 1.234, and 129.912, respectively, on cucumber; 0.196, 1.216, and 96.196, respectively, on tobacco) outperformed C1fC2m (0.172, 1.188, and 64.292, respectively, on cucumber; 0.168, 1.183, and 57.392, respectively, on tobacco). Intrinsic rate of increase value, finite rate of increase, and net reproductive rate were the highest in C2, followed by those in C2fC1m, C1fC2m, and C1 groups for both host plants.
Discussion
This study compared life history parameters between two genetically different populations of B. tabaci MED based on fertility life table analysis for the first time. Life table parameters of B. tabaci have been previously reported regarding different putative species, host plants, or temperatures [36–45]. These studies were conducted to determine the effect and correlation of various conditions. The comparison of these studies demonstrated that the correlation between life table parameters of B. tabaci and diverse environments are influenced high.
Different from these previous studies, our life table study was focused on genetically different populations of B. tabaci MED to elucidate if difference in life history parameters of different genetic clustered populations might be responsible for rapid displacement to one genetic cluster of B. tabaci MED in Korea.
Overall, genetic cluster 2 (C2) of B. tabaci MED outperformed genetic cluster 1 (C1) for various aspects of life history parameters through both single mating and cross mating (C2 and C2fC1m vs. C1 and C1fC2m) experiments on both host plants, cucumber and tobacco. These results confirmed that the competitive ability of cluster 2 population was significantly higher than that of cluster 1 regardless of host plant species, indicating that the rapid displacement of genetic clusters of B. tabaci MED in Korea populations might be highly related to their different life history parameters.
Fecundity was the highest in C2, followed by that in C2fC1m, C1fC2m, and C1. The same trend was observed for sex ratio, body weight, and body length. The development period was the shortest in C2, followed by that in C2fC1m, C1fC2m, and C1. Since these biological parameters were apparently associated with life history parameters, life table parameters also showed the same pattern. Biological, life history parameters, and clusters proportion of B. tabaci MED appeared to be mainly associated with maternal inheritance. To some extent, paternal inheritance was also associated with these parameters. This trend was supported by proportions of genetic clusters in four single and cross mating genetic cluster groups determined by individual-based STRUCTURE analysis (Fig 1 and Table 2). Such genetic inheritance characteristics could accelerate the prevalence of cluster 2 populations. Beside the life history traits, plant virus transmission rates and endosymbionts are known to affect the biology and physiology of their host [46–49]. Therefore, we investigated whether the presence of absence of tomato yellow leaf curl virus (TYLCV), a representative virus mediated by B. tabaci, and Wolbachia was associated with the genetic cluster changes. However, neither TYLCV nor Wolbachia was associated with the changed genetic clusters (S3 and S4 Tables). In this study, we did not examine the potential difference in insecticide resistance of two genetic clusters of B. tabaci MED. Insecticide resistance might also play a role in the prevalence of genetic cluster 2 [50]. Further study is needed to clarify this.
In conclusion, this study provided a strong evidence that genetic cluster 2 of B. tabaci MED had significantly superior life history parameters than cluster 1. Thus, the rapid displacement of genetic clusters in B. tabaci MED populations is strongly related to their different life history parameters. Further study is needed to determine potential difference in insecticide resistance between these two genetic clusters of B. tabaci MED.
Supporting information
S1 Table. Genetic diversity of the B. tabaci MED treatments.
https://doi.org/10.1371/journal.pone.0248819.s001
(DOCX)
S2 Table. Results of two-way ANOVA for testing effects of cluster and host plant on biological parameters, body weight, and body length of B. tabaci.
https://doi.org/10.1371/journal.pone.0248819.s002
(DOCX)
S3 Table. Tomato yellow leaf curl virus detected of B. tabaci MED populations in Korea from 2016 to 2018.
https://doi.org/10.1371/journal.pone.0248819.s003
(DOCX)
S4 Table. Wolbachia detected of B. tabaci MED populations in Korea from 2016 to 2018.
https://doi.org/10.1371/journal.pone.0248819.s004
(DOCX)
References
- 1. Oliveira M, Henneberry Te, Anderson P. History, current status, and collaborative research projects for Bemisia tabaci. Crop protection. 2001;20(9):709–23.
- 2. Navas-Castillo J, Fiallo-Olivé E, Sánchez-Campos S. Emerging virus diseases transmitted by whiteflies. Annual review of phytopathology. 2011;49:219–48. pmid:21568700
- 3. De Barro PJ, Liu S-S, Boykin LM, Dinsdale AB. Bemisia tabaci: a statement of species status. Annual review of entomology. 2011;56:1–19. pmid:20690829
- 4. Lee W, Lee S-M, Kim C-S, Choi H-S, Akimoto S-I, Lee K-Y, et al. Three species of the Bemisia tabaci (Hemiptera: Aleyrodidae) complex in the Republic of Korea; detection by an extensive field survey combined with a phylogenetic analysis. Florida entomologist. 2014:155–61.
- 5. Lee W, Kim C-S, Lee K-Y, Lee G-S. The JpL species of the Bemisia tabaci complex in Korea: Detection by an extensive field survey and analysis of COI sequence variability. Journal of Asia-Pacific Entomology. 2016;19(1):23–9.
- 6. Park Y, Nam HY, Baek S, Lee SH, Lee J-H. Population genetic structure of Bemisia tabaci MED (Hemiptera: Aleyrodidae) in Korea. PloS one. 2019;14(7). pmid:31344119
- 7. Legg J, French R, Rogan D, Okao‐Okuja G, Brown JK. A distinct Bemisia tabaci (Gennadius) (Hemiptera: Sternorrhyncha: Aleyrodidae) genotype cluster is associated with the epidemic of severe cassava mosaic virus disease in Uganda. Molecular Ecology. 2002;11(7):1219–29. pmid:12074729
- 8. Pan H, Li X, Ge D, Wang S, Wu Q, Xie W, et al. Factors affecting population dynamics of maternally transmitted endosymbionts in Bemisia tabaci. PloS one. 2012;7(2):e30760. pmid:22383972
- 9. Dinsdale A, Schellhorn N, De Barro P, Buckley Y, Riginos C. Rapid genetic turnover in populations of the insect pest Bemisia tabaci Middle East: Asia Minor 1 in an agricultural landscape. Bulletin of entomological research. 2012;102(5):539–49. pmid:22420748
- 10. Chu D, Guo D, Tao Y, Jiang D, Li J, Zhang Y. Evidence for rapid spatiotemporal changes in genetic structure of an alien whitefly during initial invasion. Scientific reports. 2014;4(1):1–6. pmid:24637851
- 11. ZHANG C, SHAO Z-f, HAN Y-y, WANG X-m, WANG Z-q, Musa PD, et al. Effects of Aschersonia aleyrodis on the life table and demographic parameters of Bemisia tabaci. Journal of integrative agriculture. 2018;17(2):389–96.
- 12. Mitchell R. Insect behavior, resource exploitation, and fitness. Annual Review of Entomology. 1981;26(1):373–96.
- 13. Chi H. Timing of control based on the stage structure of pest populations: a simulation approach. Journal of Economic entomology. 1990;83(4):1143–50.
- 14. MUSA PD, REN SX. Development and reproduction of Bemisia tabaci (Homoptera: Aleyrodidae) on three bean species. Insect Science. 2005;12(1):25–30.
- 15. Fang Y-W, Liu L-Y, Zhang H-L, Jiang D-F, Chu D. Competitive ability and fitness differences between two introduced populations of the invasive whitefly Bemisia tabaci Q in China. PLoS One. 2014;9(6). pmid:24945699
- 16. Birch LC. The intrinsic rate of natural increase of an insect population. The Journal of Animal Ecology. 1948:15–26.
- 17. Delatte H, Reynaud B, Granier M, Thornary L, Lett J-M, Goldbach R, et al. A new silverleaf-inducing biotype Ms of Bemisia tabaci (Hemiptera: Aleyrodidae) indigenous to the islands of the south-west Indian Ocean. Bulletin of entomological research. 2005;95(1):29–35. pmid:15705212
- 18. Dalmon A, Halkett F, Granier M, Delatte H, Peterschmitt M. Genetic structure of the invasive pest Bemisia tabaci: evidence of limited but persistent genetic differentiation in glasshouse populations. Heredity. 2008;100(3):316–25. pmid:18073781
- 19. Tsagkarakou A, Roditakis N. Isolation and characterization of microsatellite loci in Bemisia tabaci (Hemiptera: Aleyrodidae). Molecular Ecology Notes. 2003;3(2):196–8.
- 20. De Barro P, Scott K, Graham G, Lange C, Schutze M. Isolation and characterization of microsatellite loci in Bemisia tabaci. Molecular Ecology Notes. 2003;3(1):40–3.
- 21. Peakall R, Smouse PE. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update. Bioinformatics. 2012;28(19):2537–9. pmid:22820204
- 22. Pritchard JK, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics. 2000;155(2):945–59. pmid:10835412
- 23. Earl DA. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conservation genetics resources. 2012;4(2):359–61.
- 24. Shah MMR, Liu T-X. Feeding experience of Bemisia tabaci (Hemiptera: Aleyrodidae) affects their performance on different host plants. PLoS One. 2013;8(10). pmid:24146985
- 25. Zhao Q, Zhu JJ, Qin Y, Pan P, Tu H, Du W, et al. Reducing whiteflies on cucumber using intercropping with less preferred vegetables. Entomologia experimentalis et applicata. 2014;150(1):19–27.
- 26. Al-Zyoud F, Tort N, Sengonca C. Influence of host plant species of Bemisia tabaci (Genn.) (Hom., Aleyrodidae) on some of the biological and ecological characteristics of the entomophagous Serangium parcesetosum Sicard (Col., Coccinellidae). Journal of Pest Science. 2005;78(1):25–30.
- 27. Maia AdH, Luiz AJ, Campanhola C. Statistical inference on associated fertility life table parameters using jackknife technique: computational aspects. Journal of Economic Entomology. 2000;93(2):511–8. pmid:10826207
- 28. De Holanda Nunes Maia A, De Almeida Pazianotto RA, Luiz AJB, Marinho-Prado JS, Pervez A. Inference on arthropod demographic parameters: computational advances using R. Journal of Economic Entomology. 2014;107(1):432–9. pmid:24665730
- 29. Li T-Y, Vinson S, Gerling D. Courtship and mating behavior of Bemisia tabaci (Homoptera: Aleyrodidae). Environmental Entomology. 1989;18(5):800–6.
- 30. De Barro P, Hart P. Mating interactions between two biotypes of the whitefly, Bemisia tabaci (Hemiptera: Aleyrodidae) in Australia. Bulletin of entomological research. 2000;90(2):103–12. pmid:10948369
- 31. Perring TM, Symmes EJ. Courtship behavior of Bemisia argentifolii (Hemiptera: Aleyrodidae) and whitefly mate recognition. Annals of the Entomological Society of America. 2006;99(3):598–606.
- 32. Luan JB, Ruan YM, Zhang L, Liu SS. Pre‐copulation intervals, copulation frequencies, and initial progeny sex ratios in two biotypes of whitefly, Bemisia tabaci. Entomologia experimentalis et applicata. 2008;129(3):316–24.
- 33. Xu J, De Barro P, Liu S. Reproductive incompatibility among genetic groups of Bemisia tabaci supports the proposition that the whitefly is a cryptic species complex. Bulletin of entomological research. 2010;100(3):359–66. pmid:20178675
- 34. Sun D, Xu J, Luan J, Liu S. Reproductive incompatibility between the B and Q biotypes of the whitefly Bemisia tabaci in China: genetic and behavioural evidence. Bulletin of Entomological Research. 2011;101(2):211–20. pmid:21034521
- 35.
Sas S, Guide SUs. SAS Institute Inc. Carry, NC, USA. 2013.
- 36. Nava-Camberos U, Riley DG, Harris MK. Temperature and host plant effects on development, survival, and fecundity of Bemisia argentifolii (Homoptera: Aleyrodidae). Environmental Entomology. 2001;30(1):55–63.
- 37. Bao‐li Q, Shun‐xiang R, Mandour N, Li L. Effect of temperature on the development and reproduction of Bemisia tabaci B biotype (Homoptera: Aleyrodidae). Insect Science. 2003;10(1):43–9.
- 38. Bayhan E, Ulusoy M, Brown J. Effects of different cucurbit species and temperature on selected life history traits of the ‘B’ biotype of Bemisia tabaci. Phytoparasitica. 2006;34(3):235–42.
- 39. Yang T-C, Chi H. Life tables and development of Bemisia argentifolii (Homoptera: Aleyrodidae) at different temperatures. Journal of Economic Entomology. 2006;99(3):691–8. pmid:16813300
- 40. Bonato O, Lurette A, Vidal C, Fargues J. Modelling temperature‐dependent bionomics of Bemisia tabaci (Q‐biotype). Physiological Entomology. 2007;32(1):50–5.
- 41. Xie M, Wan FH, Chen YH, Wu G. Effects of temperature on the growth and reproduction characteristics of Bemisia tabaci B‐biotype and Trialeurodes vaporariorum. Journal of Applied Entomology. 2011;135(4):252–7.
- 42. Guo JY, Cong L, Wan FH. Multiple generation effects of high temperature on the development and fecundity of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) biotype B. Insect science. 2013;20(4):541–9. pmid:23955949
- 43. Han E-J, Choi B-R, Lee J-H. Temperature-dependent development models of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) Q biotype on three host plants. Journal of Asia-pacific entomology. 2013;16(1):5–10.
- 44. Aregbesola OZ, Legg JP, Sigsgaard L, Lund OS, Rapisarda C. Potential impact of climate change on whiteflies and implications for the spread of vectored viruses. Journal of Pest Science. 2019;92(2):381–92.
- 45. Aregbesola O, Legg J, Lund O, Sigsgaard L, Sporleder M, Carhuapoma P, et al. Life history and temperature-dependence of cassava-colonising populations of Bemisia tabaci. Journal of Pest Science. 2020;93(4):1225–41.
- 46. Czosnek H, Laterrot H. A worldwide survey of tomato yellow leaf curl viruses. Archives of virology. 1997;142(7):1391–406. pmid:9267451
- 47. Liu B, Preisser EL, Chu D, Pan H, Xie W, Wang S, et al. Multiple forms of vector manipulation by a plant-infecting virus: Bemisia tabaci and tomato yellow leaf curl virus. Journal of virology. 2013;87(9):4929–37. pmid:23408638
- 48. Kikuchi Y, Hayatsu M, Hosokawa T, Nagayama A, Tago K, Fukatsu T. Symbiont-mediated insecticide resistance. Proceedings of the National Academy of Sciences. 2012;109(22):8618–22. pmid:22529384
- 49. Gorsane F, Ben Halima A, Ben Khalifa M, Bel-Kadhi M, Fakhfakh H. Molecular characterization of Bemisia tabaci populations in Tunisia: genetic structure and evidence for multiple acquisition of secondary symbionts. Environmental entomology. 2011;40(4):809–17. pmid:22251681
- 50. Horowitz AR, Kontsedalov S, Khasdan V, Ishaaya I. Biotypes B and Q of Bemisia tabaci and their relevance to neonicotinoid and pyriproxyfen resistance. Archives of Insect Biochemistry and Physiology: Published in Collaboration with the Entomological Society of America. 2005;58(4):216–25. pmid:15756703