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Population Genomics of Agrotis Segetum Provide Insights into the Local Adaptive Evolution of Agricultural Pests

Overview
Journal BMC Biol
Publisher Biomed Central
Specialty Biology
Date 2024 Feb 20
PMID 38378556
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Abstract

Background: The adaptive mechanisms of agricultural pests are the key to understanding the evolution of the pests and to developing new control strategies. However, there are few studies on the genetic basis of adaptations of agricultural pests. The turnip moth, Agrotis segetum (Lepidoptera: Noctuidae) is an important underground pest that affects a wide range of host plants and has a strong capacity to adapt to new environments. It is thus a good model for studying the adaptive evolution of pest species.

Results: We assembled a high-quality reference genome of A. segetum using PacBio reads. Then, we constructed a variation map of A. segetum by resequencing 98 individuals collected from six natural populations in China. The analysis of the population structure showed that all individuals were divided into four well-differentiated populations, corresponding to their geographical distribution. Selective sweep analysis and environmental association studies showed that candidate genes associated with local adaptation were functionally correlated with detoxification metabolism and glucose metabolism.

Conclusions: Our study of A. segetum has provided insights into the genetic mechanisms of local adaptation and evolution; it has also produced genetic resources for developing new pest management strategies.

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References
1.
Katoh K, Standley D . MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013; 30(4):772-80. PMC: 3603318. DOI: 10.1093/molbev/mst010. View

2.
Peng Y, Jin M, Li Z, Li H, Zhang L, Yu S . Population Genomics Provide Insights into the Evolution and Adaptation of the Asia Corn Borer. Mol Biol Evol. 2023; 40(5). PMC: 10198731. DOI: 10.1093/molbev/msad112. View

3.
Hu B, Zhang S, Ren M, Tian X, Wei Q, Mburu D . The expression of Spodoptera exigua P450 and UGT genes: tissue specificity and response to insecticides. Insect Sci. 2017; 26(2):199-216. PMC: 7379962. DOI: 10.1111/1744-7917.12538. View

4.
Han M, Thomas G, Lugo-Martinez J, Hahn M . Estimating gene gain and loss rates in the presence of error in genome assembly and annotation using CAFE 3. Mol Biol Evol. 2013; 30(8):1987-97. DOI: 10.1093/molbev/mst100. View

5.
Talavera G, Castresana J . Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments. Syst Biol. 2007; 56(4):564-77. DOI: 10.1080/10635150701472164. View