ArticleScientific reports2016
RNA-Seq reveals 10 novel promising candidate genes affecting milk protein concentration in the Chinese Holstein population.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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51 citing papers in PubMed, 98 citations in OpenAlex.
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- Time-resolved transcriptomic profiling of mammary gland tissue during ductal morphogenesis, lactation activation, and involution in sows.Animal bioscience · 2026Article
- Characterization of circular RNAs in mammary tissue from Holstein cows at perinatal period and dry period.Frontiers in genetics · 2026Article
- Genome-Wide Association Studies of Key Traits inGenes · 2025Article
- Mammary gland multi-omics data reveals new genetic insights into milk production traits in dairy cattle.PLoS genetics · 2025Article
- Integrated gene co-expression network analysis and experimental validation identified integrin beta 1 as a candidate gene affecting milk production in dairy cattle.Journal of animal science · 2025Article
- RNA-Seq Profiling in Chicken Spleen and Thymus Infected with Newcastle Disease Virus of Varying Virulence.Veterinary sciences · 2024Article
- Exome-wide comparative analyses revealed differentiating genomic regions for performance traits in Indian native buffaloes.Animal biotechnology · 2024Article
- Whole-Genome Resequencing Analysis of theInternational journal of molecular sciences · 2024Article
- Whole Genome Scan Uncovers Candidate Genes Related to Milk Production Traits in Barka Cattle.International journal of molecular sciences · 2024Article
- Identification and Classification of Long Non-Coding RNAs in the Mammary Gland of the Holstein Cow.International journal of molecular sciences · 2023Article
- Genome-Wide Signal Selection Analysis Revealing Genes Potentially Related to Sheep-Milk-Production Traits.Animals : an open access journal from MDPI · 2023Article
- Methylome and transcriptome data integration reveals potential roles of DNA methylation and candidate biomarkers of cow Streptococcus uberis subclinical mastitis.Journal of animal science and biotechnology · 2022Article
- An Integrated Analysis of Lactation-Related miRNA and mRNA Expression Profiles in Donkey Mammary Glands.Genes · 2022Article
- Genome-wide evaluation of copy gain and loss variations in three Afghan sheep breeds.Scientific reports · 2022Article
- Identification and Characterization of Circular RNAs in Mammary Tissue from Holstein Cows at Early Lactation and Non-Lactation.Biomolecules · 2022Article
- Identification and annotation of milk associated genes from milk somatic cells using expression and RNA-seq data.Bioinformation · 2022Article
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- Transcriptome Analysis of Bovine Rumen Tissue in Three Developmental Stages.Frontiers in genetics · 2022Article
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Paired-end RNA sequencing (RNA-Seq) was used to explore the bovine transcriptome from the mammary tissue of 12 Chinese Holstein cows with 6 extremely high and 6 low phenotypic values for milk protein percentage. We defined the differentially expressed transcripts between the two comparison groups, extremely high and low milk protein percentage during the peak lactation (HP vs LP) and during the non-lactating period (HD vs LD), respectively. Within the differentially expressed genes (DEGs), we detected 157 at peak lactation and 497 in the non-lactating period with a highly significant correlation with milk protein concentration. Integrated interpretation of differential gene expression indicated that SERPINA1, CLU, CNTFR, ERBB2, NEDD4L, ANG, GALE, HSPA8, LPAR6 and CD14 are the most promising candidate genes affecting milk protein concentration. Similarly, LTF, FCGR3A, MEGF10, RRM2 and UBE2C are the most promising candidates that in the non-lactating period could help the mammary tissue prevent issues with inflammation and udder disorders. Putative genes will be valuable resources for designing better breeding strategies to optimize the content of milk protein and also to provide new insights into regulation of lactogenesis.
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