Wenqing Lu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Wenqing Lu has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Guang-Xin Ee
College of Animal Science and Technology, Southwest University, Chongqing 400715, China
1 shared publication - Haiwei Wang
ChongQing Academy of Animal Sciences, Rongchang, Chongqing 402460, China
1 shared publication - Linran Chen
College of Animal Science and Technology, Southwest University, Chongqing 400715, China
1 shared publication - Naiyi Xu
College of Animal Science and Technology, Southwest University, Chongqing Key Laboratory of Herbivore Science, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Center for Herbivores Resource Protection and Utilization, Chongqing Herbivore Engineering Research Center, Chongqing 400715, China
1 shared publication - Yixin Luo
College of Animal Science and Technology, Southwest University, Chongqing 400715, China
1 shared publication - Yufei Song
College of Animal Science and Technology, Southwest University, Chongqing 400715, China
1 shared publication
Latest Publications
- Open Access
Genome-Wide Analysis Reveals Copy Number Variation-Mediated Adaptive Evolution in Chickens Under Diverse Environmental and Domestication Pressures
To elucidate the genetic basis underlying chicken adaptation to diverse environmental selection pressures, this study performed a genome-wide analysis of copy number variations (CNVs) using publicly available whole-genome resequencing data from global chicken populations. Population differentiation (FST) and nucleotide diversity (π ratio) were integrated to identify signatures of selection associated with thermal adaptation, domestication, and high-altitude adaptation, followed by the identification of candidate genes and enriched biological pathways. In total, 6862, 9348, and 9384 high-confidence copy number variations (CNVs) were identified in the heat adaptation group, domestication group, and high-altitude adaptation group, respectively. Candidate genes associated with heat adaptation include AQP9, SLC4A8, CAT, SMPD2, and CLOCK, which are mainly enriched in biological processes related to water and ion homeostasis, antioxidant defense, and circadian rhythm regulation. Candidate genes related to domestication, such as IL18R1, HTR2C, GRIN2A, PRKAG2, and FABP1, are mainly involved in neuroactive ligand-receptor interaction, energy metabolism, immune regulation, and melanogenesis. In contrast, candidate genes identified in high-altitude populations include EDNRB, ITPR1, OGDH, PPARA, and ADCY6, which are significantly enriched in vascular smooth muscle contraction, the tricarboxylic acid (TCA) cycle, the PPAR signaling pathway, and pathways related to hypoxic metabolic adaptation. The above findings indicate that distinct environmental selection pressures and artificial selection pressures have shaped population-specific CNV patterns in the chicken genome and promoted the formation of phenotypic adaptation through regulating water–salt balance, neural function, energy metabolism, vascular homeostasis, and hypoxic response pathways.
Open AccessGenome-Wide Analysis Reveals Copy Number Variation-Mediated Adaptive Evolution in Chickens Under Diverse Environmental and Domestication Pressures
To elucidate the genetic basis underlying chicken adaptation to diverse environmental selection pressures, this study performed a genome-wide analysis of copy number variations (CNVs) using publicly available whole-genome resequencing data from global chicken populations. Population differentiation (FST) and nucleotide diversity (π ratio) were integrated to identify signatures of selection associated with thermal adaptation, domestication, and high-altitude adaptation, followed by the identification of candidate genes and enriched biological pathways. In total, 6862, 9348, and 9384 high-confidence copy number variations (CNVs) were identified in the heat adaptation group, domestication group, and high-altitude adaptation group, respectively. Candidate genes associated with heat adaptation include AQP9, SLC4A8, CAT, SMPD2, and CLOCK, which are mainly enriched in biological processes related to water and ion homeostasis, antioxidant defense, and circadian rhythm regulation. Candidate genes related to domestication, such as IL18R1, HTR2C, GRIN2A, PRKAG2, and FABP1, are mainly involved in neuroactive ligand-receptor interaction, energy metabolism, immune regulation, and melanogenesis. In contrast, candidate genes identified in high-altitude populations include EDNRB, ITPR1, OGDH, PPARA, and ADCY6, which are significantly enriched in vascular smooth muscle contraction, the tricarboxylic acid (TCA) cycle, the PPAR signaling pathway, and pathways related to hypoxic metabolic adaptation. The above findings indicate that distinct environmental selection pressures and artificial selection pressures have shaped population-specific CNV patterns in the chicken genome and promoted the formation of phenotypic adaptation through regulating water–salt balance, neural function, energy metabolism, vascular homeostasis, and hypoxic response pathways.