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Genome-wide association study identifies novel loci associated with feed efficiency traits in Hu lambs
Deyin Zhang, Xiaolong Li, Fadi Li, Xiaoxue Zhang, Yuan Zhao, Yukun Zhang, Zongwu Ma, Huibin Tian, Xiuxiu Weng, Weimin Wang
2025, 24 (4): 1259-1269.   DOI: 10.1016/j.jia.2023.10.011
Abstract172)      PDF in ScienceDirect      
Feed efficiency (FE) is a crucial economic trait that significantly impacts profitability in intensive sheep production, and can be evaluated by the residual feed intake (RFI) and feed conversion ratio (FCR).  However, the underlying genetic mechanisms that underlie FE-related traits in sheep are not fully understood.  Herein, we measured the FE-related traits of 1,280 Hu sheep and conducted the phenotype statistics and correlation analysis, the result showcase that there was a large variation for FE-related traits, and RFI was significant positive correlation with average daily feed intake (ADFI) and FCR.  Moreover, a genome-wide association study (GWAS) was conducted using whole-genome resequencing data to investigate the genetic associations of ADFI, FCR and RFI.  For ADFI and FCR traits, 2 and one single nucleotide polymorphisms (SNPs) exceeded the genome-wide significance threshold, whereas ten and 5 SNPs exceeded the suggestive significance threshold.  For RFI traits, only 4 SNPs exceeded the suggestive significance threshold.  Finally, a total of 8 genes (LOC101121953, LOC101110202, CTNNA3, IZUMO3, PPM1E, YIPF7, ZSCAN12 and LOC105603808) were identified as potential candidate genes for FE-related traits.  Simultaneously, we further analyzed the effects of 2 candidate SNPs associated with RFI on growth and FE traits in enlarged experimental population, the results demonstrated that these 2 SNPs was not significantly associated with growth traits (P>0.05), but significantly related to RFI traits (P<0.05).  These findings will provide valuable reference data and key genetic variants that can be used to effectively select feed-efficient individual in sheep breeding programs.


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Inactivated H9N2 vaccines developed with early strains do not protect against recent H9N2 viruses: Call for a change in H9N2 control policy

Yanjing Liu, Qingqing Yu, Xiangyu Zhou, Wenxin Li, Xinwen He, Yan Wang, Guohua Deng, Jianzhong Shi, Guobin Tian, Xianying Zeng, Hualan Chen
2024, 23 (6): 2144-2148.   DOI: 10.1016/j.jia.2024.05.001
Abstract84)      PDF in ScienceDirect      
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Emergence of a novel multi-resistance-mediating integrative and conjugative element ICEPmu3 in Pasteurella multocida
Jiao He, Zhishuang Yang, Mingshu Wang, Renyong Jia, Shun Chen, Mafeng Liu, Xinxin Zhao, Qiao Yang, Ying Wu, Shaqiu Zhang, Juan Huang, Xumin Ou, Di Sun, Bin Tian, Yu He, Zhen Wu, Anchun Cheng, Dekang Zhu
2024, 23 (11): 3938-3942.   DOI: 10.1016/j.jia.2024.07.008
Abstract116)      PDF in ScienceDirect      
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Integrating genome-wide association and transcriptome analysis to provide molecular insights into growth rates in sheep
Liming Zhao, Fadi Li, Xiaoxue Zhang, Lvfeng Yuan, Huibin Tian, Dan Xu, Deyin Zhang, Yukun Zhang, Yuan Zhao, Kai Huang, Xiaolong Li, Jiangbo Cheng, Zongwu Ma, Quanzhong Xu, Xiaobin Yang, Kunchao Han, Xiuxiu Weng, Weimin Wang
DOI: 10.1016/j.jia.2024.08.011 Online: 21 August 2024
Abstract58)      PDF in ScienceDirect      

Investigating genetic markers and key genes associated with sheep growth rate using integrated multi-omics approaches could provide valuable insights for the sheep industry. Based on the average daily gain (ADG), fast-growing (Ncase=70) and slow-growing (Ncontrol=70) Hu sheep were selected for a genome-wide association study (GWAS). Ten Hu sheep (fast-growing, n=5; slow-growing, n=5) and ten Dorper sheep (fast-growing, n=5; slow-growing, n=5) were selected for comparative transcriptome analysis. We identified hub genes and tissue-specific genes (TSGs) using weighted gene co-expression network analysis (WGCNA) and RNA sequencing (RNA-Seq) data from ten tissues, respectively. Ten genes were found within 50 kb distances of the significant single nucleotide polymorphisms (SNPs). Based on a comparative transcriptomic analysis, a total of 501 and 441 differentially expressed genes (DEGs) were identified in the HF vs. HS and DF vs. DS comparisons, respectively. We found some important signaling pathways closely associated with fat metabolism and energy metabolism, such as “regulation of lipolysis in adipocytes”, “Oxidative phosphorylation”, and “Thermogenesis”. Several DEGs play a crucial role in fat deposition (such as ADRB3, PDE3B, FABP4, SERPINE1, PLIN1, and FOXO6) and muscle development (MYL3). Using the WGCNA analysis, 15 genes were considered as hub genes associated with ADG. Integration of GWAS and RNA-Seq data indicates that BRINP3 and PENK may further influence the growth rate by regulating feeding behavior in sheep. Association analysis of 1,071 Hu sheep populations revealed that mutations in the BRINP3 (BRINP3 g.16903465 T>C) and PENK (PENK g.39289926 T>C) genes were significantly related to the growth traits (P<0.05). Our research provides novel insights into understanding the molecular mechanisms underlying growth traits in sheep. BRINP3 and PENK genes may be potential key candidate genes related to sheep growth rate.

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