Hebert, P. D., Penton, E. H., Burns, J. M., Janzen, D. H. & Hallwachs, W. T. species in one: DNA barcoding reveals cryptic species in the neotropical skipper butterfly Astraptes fulgerator. Proc. Natl. Acad. Sci. U.S.A. 101, 14812–14817. https://doi.org/10.1073/pnas.0406166101 (2004).
Google Scholar
Saez, A. G. & Lozano, E. Body doubles. Nature 433, 111. https://doi.org/10.1038/433111a (2005).
Google Scholar
Vyskočilová, S., Tay, W. T., van Brunschot, S., Seal, S. & Colvin, J. An integrative approach to discovering cryptic species within the Bemisia tabaci whitefly species complex. Sci. Rep. 8, 10886. https://doi.org/10.1038/s41598-018-29305-w (2018).
Google Scholar
Liu, S. S. et al. Asymmetric mating interactions drive widespread invasion and displacement in a whitefly. Science 318, 1769–1772. https://doi.org/10.1126/science.1149887 (2007).
Google Scholar
Vyskocilova, S., Seal, S. & Colvin, J. Relative polyphagy of “Mediterranean” cryptic Bemisia tabaci whitefly species and global pest status implications. J. Pest Sci. 92, 1071–1088. https://doi.org/10.1007/s10340-019-01113-9 (2019).
Google Scholar
Behere, G. T., Tay, W. T., Russell, D. A. & Batterham, P. Molecular markers to discriminate among four pest species of Helicoverpa (Lepidoptera: Noctuidae). Bull. Entomol. Res. 98, 599–603. https://doi.org/10.1017/S0007485308005956 (2008).
Google Scholar
Elfekih, S., Tay, W. T., Gordon, K., Court, L. N. & De Barro, P. J. Standardized molecular diagnostic tool for the identification of cryptic species within the Bemisia tabaci complex. Pest Manag. Sci. 74, 170–173. https://doi.org/10.1002/ps.4676 (2018).
Google Scholar
Walsh, T. K. et al. Mitochondrial DNA genomes of five major Helicoverpa pest species from the Old and New Worlds (Lepidoptera: Noctuidae). Ecol. Evol. 9, 2933–2944. https://doi.org/10.1002/ece3.4971 (2019).
Google Scholar
Anderson, C. J., Tay, W. T., McGaughran, A., Gordon, K. & Walsh, T. K. Population structure and gene flow in the global pest, Helicoverpa armigera. Mol. Ecol. 25, 5296–5311. https://doi.org/10.1111/mec.13841 (2016).
Google Scholar
Elfekih, S. et al. Genome-wide analyses of the Bemisia tabaci species complex reveal contrasting patterns of admixture and complex demographic histories. PLoS ONE 13, e0190555. https://doi.org/10.1371/journal.pone.0190555 (2018).
Google Scholar
Anderson, C. J. et al. Hybridization and gene flow in the mega-pest lineage of moth, Helicoverpa. Proc. Natl. Acad. Sci. U.S.A. 115, 5034–5039. https://doi.org/10.1073/pnas.1718831115 (2018).
Google Scholar
FAOSTAT. http://www.fao.org/faostat/en/#data/QC/visualize (2017).
Legg, J. P. et al. Spatio-temporal patterns of genetic change amongst populations of cassava Bemisia tabaci whiteflies driving virus pandemics in East and Central Africa. Virus Res. 186, 61–75. https://doi.org/10.1016/j.virusres.2013.11.018 (2014).
Google Scholar
Patil, B. L. & Fauquet, C. M. Cassava mosaic geminiviruses: Actual knowledge and perspectives. Mol. Plant Pathol. 10, 685–701. https://doi.org/10.1111/j.1364-3703.2009.00559.x (2009).
Google Scholar
Macfadyen, S. et al. Cassava whitefly, Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) in East African farming landscapes: A review of the factors determining abundance. Bull. Entomol. Res. 108, 565–582. https://doi.org/10.1017/S0007485318000032 (2018).
Google Scholar
Minato, N. et al. Surveillance for Sri Lankan cassava mosaic virus (SLCMV) in Cambodia and Vietnam one year after its initial detection in a single plantation in 2015. PLoS ONE 14, e0212780. https://doi.org/10.1371/journal.pone.0212780 (2019).
Google Scholar
Wang, H. L. et al. First Report of Sri Lankan cassava mosaic virus Infecting Cassava in Cambodia. Plant Dis. 100, 1029–1029. https://doi.org/10.1094/Pdis-10-15-1228-Pdn (2016).
Google Scholar
De Barro, P. J., Liu, S. S., Boykin, L. M. & Dinsdale, A. B. Bemisia tabaci: A statement of species status. Annu. Rev. Entomol. 56, 1–19. https://doi.org/10.1146/annurev-ento-112408-085504 (2011).
Google Scholar
Hopkinson, J. et al. Insecticide resistance status of Bemisia tabaci MEAM1 (Hemiptera: Aleyrodidae) in Australian cotton production valleys. Austral Entomol. 59, 202–214 (2020).
Google Scholar
Hadjistylli, M., Roderick, G. K. & Gauthier, N. First report of the Sub-Saharan Africa 2 species of the Bemisia tabaci complex in the Southern France. Phytoparasitica 43, 679–687. https://doi.org/10.1007/s12600-015-0480-3 (2015).
Google Scholar
Lee, W., Park, J., Lee, G. S., Lee, S. & Akimoto, S. Taxonomic status of the Bemisia tabaci complex (Hemiptera: Aleyrodidae) and reassessment of the number of its constituent species. PLoS ONE 8, e63817. https://doi.org/10.1371/journal.pone.0063817 (2013).
Google Scholar
Mugerwa, H. et al. African ancestry of New World, Bemisia tabaci-whitefly species. Sci. Rep. 8, 2734. https://doi.org/10.1038/s41598-018-20956-3 (2018).
Google Scholar
Martin, J. H. An identification guide to common whitefly pest species of the world (Homopt Aleyrodidae). Int. J. Pest Manag. 334, 298–322. https://doi.org/10.1080/09670878709371174 (1987).
Google Scholar
Martin, J. H. & Mound, L. A. An annotated check list of the world’s whiteflies (Insecta: Hemiptera: Aleyrodidae). Zootaxa 1492, 1–84 (2007).
Google Scholar
Mound, L. A. Host-correlated variation in Bemisia tabaci (Gennadius). Proc. R. Entomol. Soc. Lond. A38, 171–180 (1963).
Google Scholar
Tay, W. T. et al. Novel molecular approach to define pest species status and tritrophic interactions from historical Bemisia specimens. Sci. Rep. https://doi.org/10.1038/s41598-017-00528-7 (2017).
Google Scholar
Tay, W. T., Evans, G. A., Boykin, L. M. & De Barro, P. J. Will the real Bemisia tabaciplease stand up?. PLoS ONE https://doi.org/10.1371/journal.pone.0050550 (2012).
Google Scholar
Dinsdale, A., Cook, L., Riginos, C., Buckley, Y. M. & De Barro, P. Refined global analysis of Bemisia tabaci (Hemiptera: Sternorrhyncha: Aleyrodoidea: Aleyrodidae) mitochondrial cytochrome oxidase 1 to identify species level genetic boundaries. Ann. Entomol. Soc. Am. 103, 196–208. https://doi.org/10.1603/An09061 (2010).
Google Scholar
Kunz, D., Tay, W. T., Elfekih, S., Gordon, K. H. J. & De Barro, P. J. Take out the rubbish – Removing NUMTs and pseudogenes from the Bemisia tabacicryptic species mtCOI database. bioRxiv. https://doi.org/10.1101/724765 (2019).
Google Scholar
Wongnikong, W., van Brunschot, S. L., Hereward, J. P., De Barro, P. J. & Walter, G. H. Testing mate recognition through reciprocal crosses of two native populations of the whitefly Bemisia tabaci (Gennadius) in Australia. Bull. Entomol. Res. 110, 328–339. https://doi.org/10.1017/S0007485319000683 (2020).
Google Scholar
Mugerwa, H., Wang, H.-L., Sseruwagi, P., Seal, S. & Colvin, J. Whole-genome single nucleotide polymorphism and mating compatibility studies reveal the presence of distinct species in sub-Saharan Africa Bemisia tabaci whiteflies. Insect Sci. https://doi.org/10.1111/1744-7917.12881 (2020).
Google Scholar
Delatte, H. et al. A new silverleaf-inducing biotype Ms of Bemisia tabaci (Hemiptera: Aleyrodidae) indigenous to the islands of the south-west Indian Ocean. Bull. Entomol. Res. 95, 29–35. https://doi.org/10.1079/Ber2004337 (2005).
Google Scholar
Boykin, L. M., Savill, A. & De Barro, P. Updated mtCOI reference dataset for the Bemisia tabaci species complex. F1000Research 6, 1835. https://doi.org/10.12688/f1000research.12858.1 (2017).
Google Scholar
Liu, S. S., Colvin, J. & De Barro, P. J. Species concepts as applied to the whitefly Bemisia tabaci systematics: How many species are there?. J Integr Agr 11, 176–186. https://doi.org/10.1016/S2095-3119(12)60002-1 (2012).
Google Scholar
Tay, W. T. et al. The trouble with MEAM2: Implications of pseudogenes on species delimitation in the globally invasive Bemisia tabaci (Hemiptera: Aleyrodidae) cryptic species complex. Genome Biol. Evol. 9, 2732–2738. https://doi.org/10.1093/gbe/evx173 (2017).
Google Scholar
Kunz, D. et al. Draft mitochondrial DNA genome of a 1920 Barbados cryptic Bemisia tabaci “New World” species (Hemiptera: Aleyrodidae). Mitochondrial DNA B 4, 1183–1184. https://doi.org/10.1080/23802359.2019.1591197 (2019).
Google Scholar
Paini, D. R. et al. Global threat to agriculture from invasive species. Proc. Natl. Acad. Sci. U.S.A. 113, 7575–7579. https://doi.org/10.1073/pnas.1602205113 (2016).
Google Scholar
Wosula, E. N., Chen, W. B., Fei, Z. J. & Legg, J. P. Unravelling the genetic diversity among cassava Bemisia tabaci whiteflies using NextRAD sequencing. Genome Biol. Evol. 9, 2958–2973. https://doi.org/10.1093/gbe/evx219 (2017).
Google Scholar
Thresh, J. M., Fargette, D. & Otim-Nape, G. W. Effects of African cassava mosaic geminivirus on the yield of cassava. Trop. Sci. 34, 26–42 (1994).
Legg, J. et al. A global alliance declaring war on cassava viruses in Africa. Food Secur. 6, 231–248. https://doi.org/10.1007/s12571-014-0340-x (2014).
Google Scholar
Legg, J. P. et al. Biology and management of Bemisia whitefly vectors of cassava virus pandemics in Africa. Pest Manag. Sci. 70, 1446–1453. https://doi.org/10.1002/ps.3793 (2014).
Google Scholar
Berry, S. D. et al. Molecular evidence for five distinct Bemisia tabaci (Homoptera: Aleyrodidae) geographic haplotypes associated with cassava plants in sub-Saharan Africa. Ann. Entomol. Soc. Am. 97, 852–859. https://doi.org/10.1603/0013-8746(2004)097[0852:Meffdb]2.0.Co;2 (2004).
Google Scholar
Mugerwa, H., Rey, M. E. C., Tairo, F., Ndunguru, J. & Sseruwagi, P. Two sub-Saharan Africa 1 populations of Bemisia tabaci exhibit distinct biological differences in fecundity and survivorship on cassava. Crop Prot. 117, 7–14. https://doi.org/10.1016/j.cropro.2018.11.011 (2019).
Google Scholar
Ghosh, S., Bouvaine, S. & Maruthi, M. N. Prevalence and genetic diversity of endosymbiotic bacteria infecting cassava whiteflies in Africa. BMC Microbiol. https://doi.org/10.1186/s12866-015-0425-5 (2015).
Google Scholar
Weir, B. S. & Cockerham, C. C. Estimating F-statistics for the analysis of population-structure. Evolution 38, 1358–1370. https://doi.org/10.2307/2408641 (1984).
Google Scholar
Ghosh, S., Bouvaine, S., Richardson, S. C. W., Ghanim, M. & Maruthi, M. N. Fitness costs associated with infections of secondary endosymbionts in the cassava whitefly species Bemisia tabaci. J. Pest Sci. 91, 17–28. https://doi.org/10.1007/s10340-017-0910-8 (2018).
Google Scholar
Elfekih, S. et al. Evolutionary genomics of Bemisia tabaci and characterization of its endosymbiont metacommunities using nextRAD sequencing. International Plant and Animal Genome Asia, Singapore 23–25 July 2015 (2015).
Elfekih, S. et al. Genome-wide SNPs Decipher Global Incursion pathways in the Bemisia tabaci species complex. International Plant and Animal Genome Conferences San Diego, 9–13 January 2016 (2016).
Elfekih, S. et al. Genome-wide scans unravel fine-scale invasion routes in the Bemisia tabaci species complex. 2nd International Whitefly Symposium, Arusha, Tanzania. p38, 14–19 February 2016 (2016).
Boykin, L. M., Bell, C. D., Evans, G., Small, I. & De Barro, P. J. Is agriculture driving the diversification of the Bemisia tabaci species complex (Hemiptera: Sternorrhyncha: Aleyrodidae)? Dating, diversification and biogeographic evidence revealed. BMC Evol. Biol. 13, 228. https://doi.org/10.1186/1471-2148-13-228 (2013).
Google Scholar
Boykin, L. M. et al. Review and guide to a future naming system of African Bemisia tabaci species. Syst. Entomol. 43, 427–433. https://doi.org/10.1111/syen.12294 (2018).
Google Scholar
Hebert, P. D. N., Cywinska, A., Ball, S. L. & DeWaard, J. R. Biological identifications through DNA barcodes. Proc. R. Soc. B Biol. Sci. 270, 313–321. https://doi.org/10.1098/rspb.2002.2218 (2003).
Google Scholar
Hanemaaijer, M. J. et al. Mitochondrial genomes of Anophelesarabiensis, An. gambiae and An. coluzzii show no clear species division [version 2; peer review: 2 approved]. F1000Research 7, 347. https://doi.org/10.12688/f1000research.13807.2 (2019).
Google Scholar
Tabachnick, W. J. Culicoides variipennis and bluetongue-virus epidemiology in the United States. Annu. Rev. Entomol. 41, 23–43. https://doi.org/10.1146/annurev.en.41.010196.000323 (1996).
Google Scholar
Legg, J. P., French, R., Rogan, D., Okao-Okuja, G. & Brown, J. K. A distinct Bemisia tabaci (Gennadius) (Hemiptera: Sternorrhyncha: Aleyrodidae) genotype cluster is associated with the epidemic of severe cassava mosaic virus disease in Uganda. Mol. Ecol. 11, 1219–1229. https://doi.org/10.1046/j.1365-294X.2002.01514.x (2002).
Google Scholar
Colvin, J., Omongo, C. A., Maruthi, M. N., Otim-Nape, G. W. & Thresh, J. M. Dual begomovirus infections and high Bemisia tabaci populations: Two factors driving the spread of a cassava mosaic disease pandemic. Plant Pathol. 53, 577–584. https://doi.org/10.1111/j.1365-3059.2004.01062.x (2004).
Google Scholar
Polston, J. E., De Barro, P. & Boykin, L. M. Transmission specificities of plant viruses with the newly identified species of the Bemisia tabaci species complex. Pest Manag. Sci. 70, 1547–1552. https://doi.org/10.1002/ps.3738 (2014).
Google Scholar
Ally, H. M. et al. What has changed in the outbreaking populations of the severe crop pest whitefly species in cassava in two decades?. Sci. Rep. https://doi.org/10.1038/s41598-019-50259-0 (2019).
Google Scholar
Kalyebi, A. et al. Within-season changes in land use impact pest abundance in smallholder African cassava production systems. Insects (2021) (Revised Submitted).
Kalyebi, A. et al. African cassava whitefly, Bemisia tabaci, cassava colonization preferences and control implications. PLoS ONE 13, e0204862. https://doi.org/10.1371/journal.pone.0204862 (2018).
Google Scholar
Macfadyen, S. et al. Landscape factors and how they influence whitefly pests in cassava fields across East Africa. Landsc. Ecol. 36, 45–67. https://doi.org/10.1007/s10980-020-01099-1 (2021).
Google Scholar
Tay, W. T. et al. A high-throughput amplicon sequencing approach for population-wide species diversity and composition survey. bioRxiv https://doi.org/10.1101/2020.10.12.336545 (2020).
Google Scholar
Manani, D. M., Ateka, E. M., Nyanjom, S. R. G. & Boykin, L. M. Phylogenetic relationships among whiteflies in the Bemisia tabaci(Gennadius) species complex from major cassava growing areas in Kenya. Insects https://doi.org/10.3390/insects8010025 (2017).
Google Scholar
Gottelli, D., Marino, J., Sillero-Zubiri, C. & Funk, S. M. The effect of the last glacial age on speciation and population genetic structure of the endangered Ethiopian wolf (Canis simensis). Mol. Ecol. 13, 2275–2286. https://doi.org/10.1111/j.1365-294X.2004.02226.x (2004).
Google Scholar
Sezonlin, M. et al. Phylogeography and population genetics of the maize stalk borer Busseola fusca (Lepidoptera, Noctuidae) in sub-Saharan Africa. Mol. Ecol. 15, 407–420. https://doi.org/10.1111/j.1365-294X.2005.02761.x (2006).
Google Scholar
Lehmann, T. et al. The rift valley complex as a barrier to gene flow for Anopheles gambiae in Kenya. J. Hered. 90, 613–621. https://doi.org/10.1093/jhered/90.6.613 (1999).
Google Scholar
Schmidt, H. et al. Transcontinental dispersal of Anopheles gambiae occurred from West African origin via serial founder events. Commun. Biol. 2, 473. https://doi.org/10.1038/s42003-019-0717-7 (2019).
Google Scholar
Mairal, M. et al. Geographic barriers and Pleistocene climate change shaped patterns of genetic variation in the Eastern Afromontane biodiversity hotspot. Sci. Rep. 7, 45749. https://doi.org/10.1038/srep45749 (2017).
Google Scholar
Freilich, X. et al. Comparative Phylogeography of Ethiopian anurans: Impact of the Great Rift Valley and Pleistocene climate change. BMC Evol. Biol. 16, 206. https://doi.org/10.1186/s12862-016-0774-1 (2016).
Google Scholar
Huhndorf, M. H., Peterhans, J. C. K. & Loew, S. S. Comparative phylogeography of three endemic rodents from the Albertine Rift, east central Africa. Mol. Ecol. 16, 663–674. https://doi.org/10.1111/j.1365-294X.2007.03153.x (2007).
Google Scholar
Matsubayashi, K. W., Ohshima, I. & Nosil, P. Ecological speciation in phytophagous insects. Entomol. Exp. Appl. 134, 1–27. https://doi.org/10.1111/j.1570-7458.2009.00916.x (2010).
Google Scholar
Malka, O. et al. Species-complex diversification and host-plant associations in Bemisia tabaci: A plant-defence, detoxification perspective revealed by RNA-Seq analyses. Mol. Ecol. 27, 4241–4256. https://doi.org/10.1111/mec.14865 (2018).
Google Scholar
Chen, W. B. et al. The draft genome of whitefly Bemisia tabaciMEAM1, a global crop pest, provides novel insights into virus transmission, host adaptation, and insecticide resistance. BMC Biol. https://doi.org/10.1186/s12915-016-0321-y (2016).
Google Scholar
Xie, W. et al. The invasive MED/Q Bemisia tabaci genome: A tale of gene loss and gene gain. BMC Genomics 19, 68. https://doi.org/10.1186/s12864-018-4448-9 (2018).
Google Scholar
Katoh, K. & Standley, D. M. MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Mol. Biol. Evol. 30, 772–780. https://doi.org/10.1093/molbev/mst010 (2013).
Google Scholar
Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120. https://doi.org/10.1093/bioinformatics/btu170 (2014).
Google Scholar
Li, H. & Durbin, R. Fast and accurate long-read alignment with Burrows–Wheeler transform. Bioinformatics 26, 589–595. https://doi.org/10.1093/bioinformatics/btp698 (2010).
Google Scholar
Li, H. et al. The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078–2079. https://doi.org/10.1093/bioinformatics/btp352 (2009).
Google Scholar
Eaton, D. A. R. PyRAD: Assembly of de novo RADseq loci for phylogenetic analyses. Bioinformatics 30, 1844–1849. https://doi.org/10.1093/bioinformatics/btu121 (2014).
Google Scholar
Zheng, X. W. et al. A high-performance computing toolset for relatedness and principal component analysis of SNP data. Bioinformatics 28, 3326–3328. https://doi.org/10.1093/bioinformatics/bts606 (2012).
Google Scholar
Alexander, D. H., Novembre, J. & Lange, K. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 19, 1655–1664. https://doi.org/10.1101/gr.094052.109 (2009).
Google Scholar
Stamatakis, A. RAxML-VI-HPC: Maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics 22, 2688–2690. https://doi.org/10.1093/bioinformatics/btl446 (2006).
Google Scholar
Pickrell, J. K. & Pritchard, J. K. Inference of population splits and mixtures from genome-wide allele frequency data. PLoS Genet. https://doi.org/10.1371/journal.pgen.1002967 (2012).
Google Scholar
Decker, J. E. et al. Worldwide patterns of ancestry, divergence, and admixture in domesticated cattle. PLoS Genet. 10, e1004254. https://doi.org/10.1371/journal.pgen.1004254 (2014).
Google Scholar
Gompert, Z. et al. Admixture and the organization of genetic diversity in a butterfly species complex revealed through common and rare genetic variants. Mol. Ecol. 23, 4555–4573. https://doi.org/10.1111/mec.12811 (2014).
Google Scholar
Source: Ecology - nature.com