Structure of genetic diversity of Bemisia tabaci (Genn.) (Hemiptera: Aleyrodidae) populations in Brazilian crops and locations

Fontes, Fernanda von Hertwig Mascarenhas; Colombo, Carlos Augusto; Lourenção, André Luiz

doi:10.1590/s0103-90162012000100007

Cited by 18 publications

(26 citation statements)

References 33 publications

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“…SSRs offers several advantages such as their distribution, specificity, and reproducibility, therefore, they were extensively employed in population genetics [8], [9], genetic diversity [10], [11], [12], [13] and evolution [14], [15]. Based on the origin, SSRs has been classified into two types: 1) genomic SSRs (that derived from genome), and 2) EST-SSRs (that comes from expressed sequence tags) [10], [14].…”

Section: Introductionmentioning

confidence: 99%

APMicroDB: A microsatellite database of Acyrthosiphon pisum

Bishnoi

Singla

2017

Genomics Data

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Pea aphids represent a complex genetic system that could be used for QTL analysis, genetic diversity and population genetics studies. Here, we described the development of first microsatellite repeat database of the pea aphid (APMicroDB), accessible at “http://deepaklab.com/aphidmicrodb”. We identified 3,40,233 SSRs using MIcroSAtellite (MISA) tool that was distributed in 14,067 (out of 23,924) scaffold of the pea aphid. We observed 89.53% simple repeats of which 73.41% were mono-nucleotide, followed by di-nucleotide repeats. This database stored information about the repeats kind, GC content, motif type (mono - hexa), genomic location etc. We have also incorporated the primer information derived from Primer3 software of the 250bp flanking region of the identified marker. Blast tool is also provided for searching the user query sequence for identified marker and their primers. This work has an immense use for scientific community working in the field of agricultural pest management, QTL mapping, and host-pathogen interaction analysis.

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Section: Introductionmentioning

confidence: 99%

APMicroDB: A microsatellite database of Acyrthosiphon pisum

Bishnoi

Singla

2017

Genomics Data

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“…In this study, we assess the presence of different species in the B. tabaci complex in Colombia using the COI marker, and we determine population structure across populations within the MEAM 1 species with polymorphic microsatellite markers. We used microsatellites taken from different libraries (De Barro et al ., ; Tsagkarakou & Roditakis, ; Delatte et al ., ; Dalmon et al ., ; Gauthier et al ., ; Fontes et al ., ) with the aim of evaluating the genetic structure of B. tabaci populations between and within the coastal Caribbean region and the mountainous Southwest region. Genetic structure among the MEAM 1 populations was used to assess possible movement routes following invasion and to determine whether there was local genetic structure across the main agricultural regions that might reflect barriers to gene flow.…”

Section: Introductionmentioning

confidence: 99%

Genetic structure of the whitefly Bemisia tabaci populations in Colombia following a recent invasion

2014

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The whitefly Bemisia tabaci (Gennadius) is one of the most important pests causing economic losses in a variety of cropping systems around the world. This species was recently found in a coastal region of Colombia and has now spread inland. To investigate this invasive process, the genetic structure of B. tabaci was examined in 8 sampling locations from 2 infested regions (coastal, inland) using 9 microsatellite markers and the mitochondrial COI gene. The mitochondrial analysis indicated that only the invasive species of the B. tabaci complex Middle East-Asia Minor 1 (MEAM 1 known previously as biotype B) was present. The microsatellite data pointed to genetic differences among the regions and no isolation by distance within regions. The coastal region in the Caribbean appears to have been the initial point of invasion, while the inland region in the Southwest showed genetic variation among populations most likely reflecting founder events and ongoing changes associated with climatic and topographical heterogeneity. These findings have implications for tracking and managing B. tabaci.

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“…The molecular analyses across populations represents part of a broader project and are covered elsewhere (Díaz, ), but here we provide a short summary. We used nine microsatellites: BEM18 and BEM25 (De Barro et al ., ), BT‐b69 (Tsagkarakou & Roditakis, ), P11 (Delatte et al ., ), mb02 and mb05 (Fontes et al ., ), 145 (Dalmon et al ., ), Btls1.6 (Gauthier et al ., ) and mb07 (not published, Genbank No: ). DNA was extracted by modifying the method described by De Barro and Driver ().…”

Section: Methodsmentioning

confidence: 99%

Evidence for adaptive divergence of thermal responses among Bemisia tabaci populations from tropical Colombia following a recent invasion

Dı́az

Muñoz-Valencia

Juvinao-Quintero

et al. 2014

J of Evolutionary Biology

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There is an increasing evidence that populations of ectotherms can diverge genetically in response to different climatic conditions, both within their native range and (in the case of invasive species) in their new range. Here, we test for such divergence in invasive whitefly Bemisia tabaci populations in tropical Colombia, by considering heritable variation within and between populations in survival and fecundity under temperature stress, and by comparing population differences with patterns established from putatively neutral microsatellite markers. We detected significant differences among populations linked to mean temperature (for survival) and temperature variation (for fecundity) in local environments. A Q ST À F ST analysis indicated that phenotypic divergence was often larger than neutral expectations (Q ST > F ST ). Particularly, for survival after a sublethal heat shock, this divergence remained linked to the local mean temperature after controlling for neutral divergence. These findings point to rapid adaptation in invasive whitefly likely to contribute to its success as a pest species. Ongoing evolutionary divergence also provides challenges in predicting the likely impact of Bemisia in invaded regions.

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Structure of genetic diversity of Bemisia tabaci (Genn.) (Hemiptera: Aleyrodidae) populations in Brazilian crops and locations

Cited by 18 publications

References 33 publications

APMicroDB: A microsatellite database of Acyrthosiphon pisum

APMicroDB: A microsatellite database of Acyrthosiphon pisum

Genetic structure of the whitefly Bemisia tabaci populations in Colombia following a recent invasion

Evidence for adaptive divergence of thermal responses among Bemisia tabaci populations from tropical Colombia following a recent invasion

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