ArticleAnimals : an open access journal from MDPI2021
Lactation Associated Genes Revealed in Holstein Dairy Cows by Weighted Gene Co-Expression Network Analysis (WGCNA).
Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Identification of Key Candidate Genes Potentially Associated with Lactation Traits in Dairy Cows Using Weighted Gene Co-Expression Network Analysis.Veterinary sciences · 2026Article
- Integrated transcriptomic and metabolomic analysis revealed the response of resistant variety Zhonghua 6 to the infection of Ralstonia solanacearum in peanut.BMC plant biology · 2026Article
- Identification of milk-related genes and regulatory networks in Bactrian camel either supplemented or under grazing.Tropical animal health and production · 2023Article
- Transcriptome Analysis of Goat Mammary Gland Tissue Reveals the Adaptive Strategies and Molecular Mechanisms of Lactation and Involution.International journal of molecular sciences · 2022Article
- Identification of a CJournal of fungi (Basel, Switzerland) · 2022Article
- Identifying key genes in milk fat metabolism by weighted gene co-expression network analysis.Scientific reports · 2022Article
- Fourth Report on Chicken Genes and Chromosomes 2022.Cytogenetic and genome research · 2022Review
- Integrated Analysis of mRNA and MicroRNA Co-expressed Network for the Differentiation of Bovine Skeletal Muscle Cells After Polyphenol Resveratrol Treatment.Frontiers in veterinary science · 2021Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Weighted gene coexpression network analysis (WGCNA) is a novel approach that can quickly analyze the relationships between genes and traits. In this study, the milk yield, lactose, fat, and protein of Holstein dairy cows were detected in a lactation cycle. Meanwhile, a total of 18 gene expression profiles were detected using mammary glands from six lactation stages (day 7 to calving, -7 d; day 30 post-calving, 30 d; day 90 post-calving, 90 d; day 180 post-calving, 180 d; day 270 post-calving, 270 d; day 315 post-calving, 315 d). On the basis of the 18 profiles, WGCNA identified for the first time 10 significant modules that may be related to lactation stage, milk yield, and the main milk composition content. Genes in the 10 significant modules were examined with gene ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. The results revealed that the galactose metabolism pathway was a potential candidate for milk yield and milk lactose synthesis. In -7 d, ion transportation was more frequent and cell proliferation related terms became active. In late lactation, the suppressor of cytokine signaling 3 (
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