Population expansion and genomic adaptation to agricultural environments of the soybean looper, Chrysodeixis includens
Abstract Evolutionary studies of insect pests improve our ability to anticipate problems in agricultural ecosystems, such as pest outbreaks, control failures, or expansions of the host range. Here, we investigated the mechanisms underlying the evolutionary processes behind the recent census size exp...
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doaj-9bac1f5934024ca7a74ec010ff4f0ce02020-11-25T03:50:16ZengWileyEvolutionary Applications1752-45712020-09-011382071208510.1111/eva.12966Population expansion and genomic adaptation to agricultural environments of the soybean looper, Chrysodeixis includensCleane S. Silva0Erick M.G. Cordeiro1Julia B. dePaiva2Patrick M. Dourado3Renato A. Carvalho4Graham Head5Samuel Martinelli6Alberto S. Correa7Department of Entomology and Acarology Luiz de Queiroz College of Agriculture University of Sao Paulo Piracicaba BrazilDepartment of Entomology and Acarology Luiz de Queiroz College of Agriculture University of Sao Paulo Piracicaba BrazilDepartment of Entomology and Acarology Luiz de Queiroz College of Agriculture University of Sao Paulo Piracicaba BrazilBayer Crop Science Sao Paulo BrazilBayer Crop Science Sao Paulo BrazilBayer Crop Science Chesterfield MO USABayer Crop Science Chesterfield MO USADepartment of Entomology and Acarology Luiz de Queiroz College of Agriculture University of Sao Paulo Piracicaba BrazilAbstract Evolutionary studies of insect pests improve our ability to anticipate problems in agricultural ecosystems, such as pest outbreaks, control failures, or expansions of the host range. Here, we investigated the mechanisms underlying the evolutionary processes behind the recent census size expansion and local adaptation of Chrysodeixis includens. First, we sequenced mitochondrial markers to conduct a phylogeographic investigation of C. includens historical processes. Then, we combined a de novo genotyping‐by‐sequencing approach with a study of agricultural landscapes to uncover recent processes of adaptation. Primarily, we found low genetic diversity across all markers and clear indications of a recent demographic expansion. We also found a lack of significant isolation by distance (IBD), and weak or absent genetic structure considering geographic locations. However, we did find initial signs of population differentiation that were associated with host plant types (i.e., soybean and cotton). Agricultural landscape attributes, including soybean crops, were significantly associated with putative markers under positive selection. Moreover, positive selection associated with host differentiation was putatively linked to digestive enzymes. This study showed how landscape composition and host plants can affect the evolutionary process of agricultural pest insects such as C. includens.https://doi.org/10.1111/eva.12966demographyinsect adaptationlandscape geneticsNoctuidaeselection |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Cleane S. Silva Erick M.G. Cordeiro Julia B. dePaiva Patrick M. Dourado Renato A. Carvalho Graham Head Samuel Martinelli Alberto S. Correa |
spellingShingle |
Cleane S. Silva Erick M.G. Cordeiro Julia B. dePaiva Patrick M. Dourado Renato A. Carvalho Graham Head Samuel Martinelli Alberto S. Correa Population expansion and genomic adaptation to agricultural environments of the soybean looper, Chrysodeixis includens Evolutionary Applications demography insect adaptation landscape genetics Noctuidae selection |
author_facet |
Cleane S. Silva Erick M.G. Cordeiro Julia B. dePaiva Patrick M. Dourado Renato A. Carvalho Graham Head Samuel Martinelli Alberto S. Correa |
author_sort |
Cleane S. Silva |
title |
Population expansion and genomic adaptation to agricultural environments of the soybean looper, Chrysodeixis includens |
title_short |
Population expansion and genomic adaptation to agricultural environments of the soybean looper, Chrysodeixis includens |
title_full |
Population expansion and genomic adaptation to agricultural environments of the soybean looper, Chrysodeixis includens |
title_fullStr |
Population expansion and genomic adaptation to agricultural environments of the soybean looper, Chrysodeixis includens |
title_full_unstemmed |
Population expansion and genomic adaptation to agricultural environments of the soybean looper, Chrysodeixis includens |
title_sort |
population expansion and genomic adaptation to agricultural environments of the soybean looper, chrysodeixis includens |
publisher |
Wiley |
series |
Evolutionary Applications |
issn |
1752-4571 |
publishDate |
2020-09-01 |
description |
Abstract Evolutionary studies of insect pests improve our ability to anticipate problems in agricultural ecosystems, such as pest outbreaks, control failures, or expansions of the host range. Here, we investigated the mechanisms underlying the evolutionary processes behind the recent census size expansion and local adaptation of Chrysodeixis includens. First, we sequenced mitochondrial markers to conduct a phylogeographic investigation of C. includens historical processes. Then, we combined a de novo genotyping‐by‐sequencing approach with a study of agricultural landscapes to uncover recent processes of adaptation. Primarily, we found low genetic diversity across all markers and clear indications of a recent demographic expansion. We also found a lack of significant isolation by distance (IBD), and weak or absent genetic structure considering geographic locations. However, we did find initial signs of population differentiation that were associated with host plant types (i.e., soybean and cotton). Agricultural landscape attributes, including soybean crops, were significantly associated with putative markers under positive selection. Moreover, positive selection associated with host differentiation was putatively linked to digestive enzymes. This study showed how landscape composition and host plants can affect the evolutionary process of agricultural pest insects such as C. includens. |
topic |
demography insect adaptation landscape genetics Noctuidae selection |
url |
https://doi.org/10.1111/eva.12966 |
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