{"title":"全基因组重测序揭示了蜜蜂(Apis cerana)在高海拔和越冬适应方面的遗传进化。","authors":"Fugui Li, Xujiang He, Lizhen Zhang, Junfeng Liu, Zilong Wang, Zhijiang Zeng","doi":"10.1111/imb.13009","DOIUrl":null,"url":null,"abstract":"<p><p>Over time, populations of Apis cerana across diverse geographical regions have undergone distinct phenotypic adaptations in response to varied climates, arising from prolonged natural evolutionary processes. Understanding the molecular genetic underpinnings and the implications of climate change on the adaptive evolution of A. cerana is crucial for its conservation amidst environmental shifts. Here, we conducted a comprehensive analysis of 110 bee individuals sourced from 11 regions at comparable temperatures, environments, and altitudes. A total of 525.56 Gb of filter-trimmed sequencing data were utilised for population genetic analysis of honeybees. The findings indicate genetic differentiation among bee populations from various geographical regions, with higher levels of population divergence observed in different altitudinal environments. Particularly noteworthy is the significant genetic divergence of the bee population from Haikou (HK) compared to populations in other areas, characterised by higher inbreeding coefficients and runs of homozygosity (ROHs), as well as lower nucleotide diversity. However, populations from Guangzhou (GZ), Jinzhai (JZ), Qimen (QM), Shennongjia (SNJ), and Suzhou (SZ) exhibit a close genetic relationship. Using comparisons across multiple bee populations from different groups, we identified selective signatures across different environmental temperatures and altitudes. Furthermore, by integrating genomic selection signals with comparative transcriptomic analysis, we identified genes potentially involved in bee adaptation to high altitude, such as g9950.t1 (alcohol dehydrogenase), g5267.t1 (diacylglycerol kinase theta-like isoform 2), gene g4025.t1 (Tyrosine 3-monooxygenase), and g3609.t1 (heme oxygenase). Our results indicate that both temperature and altitude contribute to the genetic differentiation and geographical adaptability of A. cerana populations.</p>","PeriodicalId":13526,"journal":{"name":"Insect Molecular Biology","volume":" ","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Whole-genome resequencing reveals genetic evolution of honeybees (Apis cerana) in high-altitude and overwintering adaptation.\",\"authors\":\"Fugui Li, Xujiang He, Lizhen Zhang, Junfeng Liu, Zilong Wang, Zhijiang Zeng\",\"doi\":\"10.1111/imb.13009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Over time, populations of Apis cerana across diverse geographical regions have undergone distinct phenotypic adaptations in response to varied climates, arising from prolonged natural evolutionary processes. Understanding the molecular genetic underpinnings and the implications of climate change on the adaptive evolution of A. cerana is crucial for its conservation amidst environmental shifts. Here, we conducted a comprehensive analysis of 110 bee individuals sourced from 11 regions at comparable temperatures, environments, and altitudes. A total of 525.56 Gb of filter-trimmed sequencing data were utilised for population genetic analysis of honeybees. The findings indicate genetic differentiation among bee populations from various geographical regions, with higher levels of population divergence observed in different altitudinal environments. Particularly noteworthy is the significant genetic divergence of the bee population from Haikou (HK) compared to populations in other areas, characterised by higher inbreeding coefficients and runs of homozygosity (ROHs), as well as lower nucleotide diversity. However, populations from Guangzhou (GZ), Jinzhai (JZ), Qimen (QM), Shennongjia (SNJ), and Suzhou (SZ) exhibit a close genetic relationship. Using comparisons across multiple bee populations from different groups, we identified selective signatures across different environmental temperatures and altitudes. Furthermore, by integrating genomic selection signals with comparative transcriptomic analysis, we identified genes potentially involved in bee adaptation to high altitude, such as g9950.t1 (alcohol dehydrogenase), g5267.t1 (diacylglycerol kinase theta-like isoform 2), gene g4025.t1 (Tyrosine 3-monooxygenase), and g3609.t1 (heme oxygenase). Our results indicate that both temperature and altitude contribute to the genetic differentiation and geographical adaptability of A. cerana populations.</p>\",\"PeriodicalId\":13526,\"journal\":{\"name\":\"Insect Molecular Biology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Insect Molecular Biology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1111/imb.13009\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Insect Molecular Biology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1111/imb.13009","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Whole-genome resequencing reveals genetic evolution of honeybees (Apis cerana) in high-altitude and overwintering adaptation.
Over time, populations of Apis cerana across diverse geographical regions have undergone distinct phenotypic adaptations in response to varied climates, arising from prolonged natural evolutionary processes. Understanding the molecular genetic underpinnings and the implications of climate change on the adaptive evolution of A. cerana is crucial for its conservation amidst environmental shifts. Here, we conducted a comprehensive analysis of 110 bee individuals sourced from 11 regions at comparable temperatures, environments, and altitudes. A total of 525.56 Gb of filter-trimmed sequencing data were utilised for population genetic analysis of honeybees. The findings indicate genetic differentiation among bee populations from various geographical regions, with higher levels of population divergence observed in different altitudinal environments. Particularly noteworthy is the significant genetic divergence of the bee population from Haikou (HK) compared to populations in other areas, characterised by higher inbreeding coefficients and runs of homozygosity (ROHs), as well as lower nucleotide diversity. However, populations from Guangzhou (GZ), Jinzhai (JZ), Qimen (QM), Shennongjia (SNJ), and Suzhou (SZ) exhibit a close genetic relationship. Using comparisons across multiple bee populations from different groups, we identified selective signatures across different environmental temperatures and altitudes. Furthermore, by integrating genomic selection signals with comparative transcriptomic analysis, we identified genes potentially involved in bee adaptation to high altitude, such as g9950.t1 (alcohol dehydrogenase), g5267.t1 (diacylglycerol kinase theta-like isoform 2), gene g4025.t1 (Tyrosine 3-monooxygenase), and g3609.t1 (heme oxygenase). Our results indicate that both temperature and altitude contribute to the genetic differentiation and geographical adaptability of A. cerana populations.
期刊介绍:
Insect Molecular Biology has been dedicated to providing researchers with the opportunity to publish high quality original research on topics broadly related to insect molecular biology since 1992. IMB is particularly interested in publishing research in insect genomics/genes and proteomics/proteins.
This includes research related to:
• insect gene structure
• control of gene expression
• localisation and function/activity of proteins
• interactions of proteins and ligands/substrates
• effect of mutations on gene/protein function
• evolution of insect genes/genomes, especially where principles relevant to insects in general are established
• molecular population genetics where data are used to identify genes (or regions of genomes) involved in specific adaptations
• gene mapping using molecular tools
• molecular interactions of insects with microorganisms including Wolbachia, symbionts and viruses or other pathogens transmitted by insects
Papers can include large data sets e.g.from micro-array or proteomic experiments or analyses of genome sequences done in silico (subject to the data being placed in the context of hypothesis testing).