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Population genomics of Agrotis segetum provide insights into the local adaptive evolution of agricultural pests.
Wang, Ping; Jin, Minghui; Wu, Chao; Peng, Yan; He, Yanjin; Wang, Hanyue; Xiao, Yutao.
Afiliación
  • Wang P; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Gene Editing Technologies (Hainan), Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
  • Jin M; School of Life Sciences, Henan University, Kaifeng, 475004, China.
  • Wu C; Shenzhen Research Institute of Henan university, Shenzhen, 518000, China.
  • Peng Y; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Gene Editing Technologies (Hainan), Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
  • He Y; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Gene Editing Technologies (Hainan), Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
  • Wang H; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Gene Editing Technologies (Hainan), Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
  • Xiao Y; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Gene Editing Technologies (Hainan), Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
BMC Biol ; 22(1): 42, 2024 Feb 20.
Article en En | MEDLINE | ID: mdl-38378556
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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Metagenómica / Mariposas Nocturnas Límite: Animals País/Región como asunto: Asia Idioma: En Revista: BMC Biol Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Metagenómica / Mariposas Nocturnas Límite: Animals País/Región como asunto: Asia Idioma: En Revista: BMC Biol Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China