Article
Agriculture, Dairy & Animal Science
Yanjun Qiao, Ming Gu, Yu Zhang, Zhixian Bai, Yuting Qin, Yanan Xu, Xingtang Dou, Di Han, Guangyu Lin, Lingling Wang, Zhanhong Wang, Jiaming Wang, Yinggang Sun, Yanzhi Wu, Rui Chen, Qiu Zhang, Qian Li, Xiaowei Wang, Zhiguo Xu, Yuyan Cong, Jing Chen, Zeying Wang
Summary: This study investigated the relationship between SNP loci of LIPE gene and ITGB4 gene and milk production, cashmere production, and body measurement traits of Liaoning cashmere goats (LCGs). Potential SNP loci were identified through PCR-Seq polymorphism detection and gene sequence comparison. SPSS and SHEsis software were used to analyze their relationship with production performance. The results showed that the CC genotype of LIPE gene T16409C locus was dominant in milk and cashmere production, while the CT genotype was dominant in body size. The CT genotype of ITGB4 gene C168T locus was the dominant genotype for body type and cashmere production, while the TT genotype was dominant for milk production. Joint analysis revealed dominant haplotype combinations for different traits.
ANIMAL BIOTECHNOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
K. A. Saravanan, Manjit Panigrahi, Harshit Kumar, Subhashree Parida, Bharat Bhushan, G. K. Gaur, Triveni Dutt, B. P. Mishra, R. K. Singh
Summary: Domestication and selection in livestock lead to determinative genetic variability, creating unique genetic signatures. Analysis of BovineSNP50 chip data identified candidate genes related to production traits and adaptation of indigenous breeds, with further studies recommended for validation.
Article
Genetics & Heredity
Sheikh Firdous Ahmad, Akansha Singh, Munish Gangwar, Subodh Kumar, Triveni Dutt, Amit Kumar
Summary: This study evaluated the haplotype structure of Vrindavani cattle and explored the association of haplotypes with economic traits. Multiple haplotypes were found to be associated with important traits such as age at first calving and milk yield. Candidate genes and pathways related to these traits were also identified.
Article
Genetics & Heredity
Aixia Du, Fengru Zhao, Yanan Liu, Lingna Xu, Kewei Chen, Dongxiao Sun, Bo Han
Summary: The study demonstrated significant genetic effects of PKLR on milk production traits in dairy cattle, with some SNPs potentially serving as functional mutations.
FRONTIERS IN GENETICS
(2022)
Article
Multidisciplinary Sciences
Marion Patxot, Daniel Trejo Banos, Athanasios Kousathanas, Etienne J. Orliac, Sven E. Ojavee, Gerhard Moser, Alexander Holloway, Julia Sidorenko, Zoltan Kutalik, Reedik Magi, Peter M. Visscher, Lars Ronnegard, Matthew R. Robinson
Summary: The authors developed a novel Bayesian approach for association analysis in large-scale genetic data, improving SNP-heritability estimation, discovery, fine-mapping, and genomic prediction. They found that genetic variation for height, body mass index, cardiovascular disease, and type 2 diabetes is mainly attributed to coding regions, introns, and distal upstream regions, highlighting new insights into genetic factors associated with these traits.
NATURE COMMUNICATIONS
(2021)
Article
Veterinary Sciences
Muhammad Zahoor Khan, Gerile Dari, Adnan Khan, Ying Yu
Summary: The study found associations between SNPs in bovine TRAPPC9 and CD4 genes with milk production and mastitis resistance traits. These genes could serve as genetic markers in selection for dairy cattle.
FRONTIERS IN VETERINARY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Yu Zhang, Yuting Qin, Ming Gu, Yanan Xu, Xingtang Dou, Di Han, Guangyu Lin, Lingling Wang, Zhanhong Wang, Jiaming Wang, Yinggang Sun, Yanzhi Wu, Rui Chen, Yanjun Qiao, Qiu Zhang, Qian Li, Xiaowei Wang, Zhiguo Xu, Yuyan Cong, Jing Chen, Zeying Wang
Summary: The relationship between COL6A5 and LOC102181374 genes and the production performance of Liaoning cashmere goats was analyzed using single nucleotide polymorphism (SNP) analysis. Several SNP loci and advantageous genotypes and haplotype combinations were identified, providing some support for molecular breeding of production traits in this breed.
ANIMAL BIOTECHNOLOGY
(2022)
Article
Genetics & Heredity
Sheikh Firdous Ahmad, Akansha Singh, Snehasmita Panda, Waseem Akram Malla, Amit Kumar, Triveni Dutt
Summary: This study analyzed the genome-wide copy number variations (CNVs) in Vrindavani cattle and found CNVRs associated with different production and reproduction traits. Important genes overlapping with CNVRs were identified, and the CNVRs were also found to overlap with important QTLs affecting milk yield, composition, reproduction, and immune function traits. The study provides insights into the understanding of CNVs in Vrindavani cattle and their association with important traits.
Article
Agriculture, Dairy & Animal Science
Yujia Sun, Xinyi Wu, Yaoyao Ma, Dingding Liu, Xubin Lu, Tianqi Zhao, Zhangping Yang
Summary: This study performed an association analysis between polymorphisms of three candidate genes (ABCG2, CD44, SPP1) and milk production performance on Chinese Holstein cattle. The results showed that the different genotypes of these genes significantly affected milk production performance. ABCG2, CD44, and SPP1 genes could be selected for marker-assisted selection, which is of great significance for future precise molecular breeding.
Article
Agronomy
Chon-Sik Kang, Young-Jun Mo, Kyeong-Min Kim, Kyeong-Hoon Kim, Jae-Buhm Chun, Chul-Soo Park, Seong-Woo Cho
Summary: This study identified several QTLs affecting yield potential in wheat by using a recombinant inbred line population derived from Korean wheat cultivars. Multiple stable QTLs were detected in at least two environments, including those influencing spike length, tiller number, and length of center rachis. Taejoong contributed significantly to the spike length QTLs.
Article
Genetics & Heredity
Peng Peng, Yanan Liu, Weijie Zheng, Bo Han, Kun Wang, Dongxiao Sun
Summary: With the development of high-throughput sequencing, RNA sequencing has been widely used in the identification of candidate genes for complex traits in livestock. In this study, ACADVL and IRF6 genes were found to have significant genetic effects on milk yield and composition traits in Holstein cows. The identified SNPs in these genes can be used as genetic markers for genomic selection programs in dairy cattle.
Article
Plant Sciences
M. M. U. Helal, Rafaqat Ali Gill, Minqiang Tang, Li Yang, Ming Hu, Lingli Yang, Meili Xie, Chuanji Zhao, Xiaohui Cheng, Yuanyuan Zhang, Xiong Zhang, Shengyi Liu
Summary: This study investigated the genetic architecture of important agronomic traits related to flowering time in rapeseed through a genome-wide association study. Multiple QTLs were identified, including environmentally stable ones, providing a foundation for molecular marker-trait associations in rapeseed.
Article
Agriculture, Dairy & Animal Science
Conghao Zhong, Zhansheng Liu, Dandan Li, Li Kang, Yunliang Jiang
Summary: Follicle selection is a crucial process for chicken laying performance and fecundity. In this study, the impacts of follicle-stimulating hormone (FSH) on chicken granulosa cells were investigated through ONT transcriptome sequencing. FSH treatment upregulated the expression of several genes related to steroid biosynthesis and pathways associated with ovarian steroidogenesis. Specifically, TRAF7 was identified as a key regulator in promoting the expression of steroidogenic enzymes and granulosa cell proliferation. This study provides valuable insights into the molecular mechanism of follicle selection in chickens.
Article
Plant Sciences
Alba Alvarez-Morezuelas, Leire Barandalla, Enrique Ritter, Jose Ignacio Ruiz de Galarreta
Summary: In this study, 144 tetraploid potato genotypes were evaluated to investigate the variation of physiological and agronomic traits under control and water stress conditions. A total of 18 SNP markers significantly associated with these traits were identified, providing insights into the mechanisms of potato tolerance to water stress and potential markers for marker-assisted selection programs.
Article
Biochemistry & Molecular Biology
Irina V. Rozanova, Yuriy N. Grigoriev, Vadim M. Efimov, Alexander V. Igoshin, Elena K. Khlestkina
Summary: This study conducted a genome-wide association study on 94 barley varieties and identified 64 SNP markers significantly associated with spike productivity traits. Among them, 23 SNP markers were validated and 14 markers on chromosomes 2H, 4H and 5H were suggested for marker-assisted breeding programs.
Article
Agriculture, Dairy & Animal Science
Conghao Zhong, Zemin Liu, Xibo Qiao, Li Kang, Yi Sun, Yunliang Jiang
Summary: Integrated transcriptomic analysis of chicken SY follicles with different FSHR expression levels revealed SOWAHA as a network gene affected by FSH in granulosa cells, playing an inhibitory role in chicken follicle selection.
Article
Agriculture, Dairy & Animal Science
Conghao Zhong, Zhansheng Liu, Dandan Li, Li Kang, Yunliang Jiang
Summary: Follicle selection is a crucial process for chicken laying performance and fecundity. In this study, the impacts of follicle-stimulating hormone (FSH) on chicken granulosa cells were investigated through ONT transcriptome sequencing. FSH treatment upregulated the expression of several genes related to steroid biosynthesis and pathways associated with ovarian steroidogenesis. Specifically, TRAF7 was identified as a key regulator in promoting the expression of steroidogenic enzymes and granulosa cell proliferation. This study provides valuable insights into the molecular mechanism of follicle selection in chickens.
Article
Multidisciplinary Sciences
Zhangyuan Pan, Ying Wang, Mingshan Wang, Yuzhe Wang, Xiaoning Zhu, Shenwen Gu, Conghao Zhong, Liqi An, Mingzhu Shan, Joana Damas, Michelle M. Halstead, Dailu Guan, Nares Trakooljul, Klaus Wimmers, Ye Bi, Shang Wu, Mary E. Delany, Xuechen Bai, Hans H. Cheng, Congjiao Sun, Ning Yang, Xiaoxiang Hu, Harris A. Lewin, Lingzhao Fang, Huaijun Zhou
Summary: This study identified and characterized regulatory elements in the chicken genome by integrating genome-wide sequencing datasets from 23 adult tissues. It annotated 1.57 million regulatory elements, predicted enhancer-gene pairs, and super-enhancers. These findings have significant implications for understanding gene regulation in chicken domestication, selection, and complex trait regulation.