Cargando…

Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle

Water holding capacity (WHC) is an important sensory attribute that greatly influences meat quality. However, the molecular mechanism that regulates the beef WHC remains to be elucidated. In this study, the longissimus dorsi (LD) muscles of 49 Chinese Simmental beef cattle were measured for meat qua...

Descripción completa

Detalles Bibliográficos
Autores principales:	Du, Lili, Chang, Tianpeng, An, Bingxing, Liang, Mang, Duan, Xinghai, Cai, Wentao, Zhu, Bo, Gao, Xue, Chen, Yan, Xu, Lingyang, Zhang, Lupei, Li, Junya, Gao, Huijiang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184995/ https://www.ncbi.nlm.nih.gov/pubmed/34099805 http://dx.doi.org/10.1038/s41598-021-91373-2

Ejemplares similares

Genome-Wide Association Study Based on Random Regression Model Reveals Candidate Genes Associated with Longitudinal Data in Chinese Simmental Beef Cattle
por: Du, Lili, et al.
Publicado: (2021)

Genome-Wide Association Analysis of Growth Curve Parameters in Chinese Simmental Beef Cattle
por: Duan, Xinghai, et al.
Publicado: (2021)

Multiple association analysis of loci and candidate genes that regulate body size at three growth stages in Simmental beef cattle
por: An, Bingxing, et al.
Publicado: (2020)

Identification of muscle-specific candidate genes in Simmental beef cattle using imputed next generation sequencing
por: Bordbar, Farhad, et al.
Publicado: (2019)

Evaluation of GBLUP, BayesB and elastic net for genomic prediction in Chinese Simmental beef cattle
por: Wang, Xiaoqiao, et al.
Publicado: (2019)

The eQTL colocalization and transcriptome-wide association study identify potentially causal genes responsible for economic traits in Simmental beef cattle
por: Cai, Wentao, et al.
Publicado: (2023)

Transcriptomics and Lipid Metabolomics Analysis of Subcutaneous, Visceral, and Abdominal Adipose Tissues of Beef Cattle
por: Du, Lili, et al.
Publicado: (2022)

PacBio Single-Molecule Long-Read Sequencing Provides New Light on the Complexity of Full-Length Transcripts in Cattle
por: Chang, Tianpeng, et al.
Publicado: (2021)

Weighted Single-Step Genome-Wide Association Study for Growth Traits in Chinese Simmental Beef Cattle
por: Zhuang, Zhanwei, et al.
Publicado: (2020)

Incorporating Genome Annotation Into Genomic Prediction for Carcass Traits in Chinese Simmental Beef Cattle
por: Xu, Ling, et al.
Publicado: (2020)

Identification and validation of a novel candidate gene regulating net meat weight in Simmental beef cattle based on imputed next‐generation sequencing
por: Bordbar, Farhad, et al.
Publicado: (2020)

Searching for new loci and candidate genes for economically important traits through gene-based association analysis of Simmental cattle
por: Xia, Jiangwei, et al.
Publicado: (2017)

Genomic Prediction and Association Analysis with Models Including Dominance Effects for Important Traits in Chinese Simmental Beef Cattle
por: Liu, Ying, et al.
Publicado: (2019)

Validation of the Prediction Accuracy for 13 Traits in Chinese Simmental Beef Cattle Using a Preselected Low-Density SNP Panel
por: Xu, Ling, et al.
Publicado: (2021)

Genome-Wide Association Study Reveals the PLAG1 Gene for Knuckle, Biceps and Shank Weight in Simmental Beef Cattle
por: Song, Yuxin, et al.
Publicado: (2016)

The Impact of Variable Degrees of Freedom and Scale Parameters in Bayesian Methods for Genomic Prediction in Chinese Simmental Beef Cattle
por: Zhu, Bo, et al.
Publicado: (2016)

Runs of homozygosity analysis reveals consensus homozygous regions affecting production traits in Chinese Simmental beef cattle
por: Zhao, Guoyao, et al.
Publicado: (2021)

A Stacking Ensemble Learning Framework for Genomic Prediction
por: Liang, Mang, et al.
Publicado: (2021)

Genomic prediction with parallel computing for slaughter traits in Chinese Simmental beef cattle using high-density genotypes
por: Guo, Peng, et al.
Publicado: (2017)

Genomic Prediction Using LD-Based Haplotypes Inferred From High-Density Chip and Imputed Sequence Variants in Chinese Simmental Beef Cattle
por: Li, Hongwei, et al.
Publicado: (2021)

Identification of Candidate Genes Regulating Carcass Depth and Hind Leg Circumference in Simmental Beef Cattle Using Illumina Bovine Beadchip and Next-Generation Sequencing Analyses
por: Bordbar, Farhad, et al.
Publicado: (2022)

Genome wide association study and genomic prediction for fatty acid composition in Chinese Simmental beef cattle using high density SNP array
por: Zhu, Bo, et al.
Publicado: (2017)

Identification of Candidate Variants Associated With Bone Weight Using Whole Genome Sequence in Beef Cattle
por: Niu, Qunhao, et al.
Publicado: (2021)

Genome-Wide Association Studies Using Haplotypes and Individual SNPs in Simmental Cattle
por: Wu, Yang, et al.
Publicado: (2014)

Incorporating genome-wide and transcriptome-wide association studies to identify genetic elements of longissimus dorsi muscle in Huaxi cattle
por: Liang, Mang, et al.
Publicado: (2023)

Cis-eQTL Analysis and Functional Validation of Candidate Genes for Carcass Yield Traits in Beef Cattle
por: Wang, Tianzhen, et al.
Publicado: (2022)

Incorporating kernelized multi-omics data improves the accuracy of genomic prediction
por: Liang, Mang, et al.
Publicado: (2022)

A Fast and Powerful Empirical Bayes Method for Genome-Wide Association Studies
por: Chang, Tianpeng, et al.
Publicado: (2019)

Genomic prediction of carcass traits using different haplotype block partitioning methods in beef cattle
por: Li, Hongwei, et al.
Publicado: (2022)

Pathway-Based Genome-Wide Association Studies for Two Meat Production Traits in Simmental Cattle
por: Fan, Huizhong, et al.
Publicado: (2015)

Genome-Wide Assessment of Runs of Homozygosity in Chinese Wagyu Beef Cattle
por: Zhao, Guoyao, et al.
Publicado: (2020)

Probe-based association analysis identifies several deletions associated with average daily gain in beef cattle
por: Xu, Lingyang, et al.
Publicado: (2019)

Transcriptional atlas analysis from multiple tissues reveals the expression specificity patterns in beef cattle
por: Zhang, Tianliu, et al.
Publicado: (2022)

Genetic Association Analysis of Copy Number Variations for Meat Quality in Beef Cattle
por: Wu, Jiayuan, et al.
Publicado: (2023)

Improving Genomic Prediction with Machine Learning Incorporating TPE for Hyperparameters Optimization
por: Liang, Mang, et al.
Publicado: (2022)

Comparative Transcriptome Analyses of Gayal (Bos frontalis), Yak (Bos grunniens), and Cattle (Bos taurus) Reveal the High-Altitude Adaptation
por: Ma, Jun, et al.
Publicado: (2022)

Comparative transcriptomic analysis reveals region-specific expression patterns in different beef cuts
por: Zhang, Tianliu, et al.
Publicado: (2022)

Evaluation of Linear Programming and Optimal Contribution Selection Approaches for Long-Term Selection on Beef Cattle Breeding
por: Zheng, Xu, et al.
Publicado: (2023)

Accuracies of genomic prediction for twenty economically important traits in Chinese Simmental beef cattle
por: Zhu, B., et al.
Publicado: (2019)

Genomic Patterns of Homozygosity in Chinese Local Cattle
por: Xu, Lingyang, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_iser7jbrfvenl8187v2e7plah9