Transcriptome study underling difference of milk yield during peak lactation of Kazakh horse.
Abstract: This study was designed to provide a basis for further understanding of the mechanism of lactation based on mRNA expression differences in milk fat between different milk yields in Kazakh horses. Total RNA was extracted from the milk fat during the peak of lactation period. A total of 310 differentially expressed genes (DEGs) were identified by comparative transcriptome analysis of the high-yield and low-yield group. These DEGs regulate lactation by participated in AMPK signaling pathway, FoxO signaling pathway, ErbB signaling pathway, VEGF signaling pathway. In addition, we performed quantitative PCR to validated 5 selected DEGs and the results were in agreement with RNA-seq analysis. A new profile has been established for revealing the mechanism of equid's mammalian lactation.
Copyright © 2021 Elsevier Inc. All rights reserved.
Publication Date: 2021-02-19 PubMed ID: 34119198DOI: 10.1016/j.jevs.2021.103424Google Scholar: Lookup
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- Journal Article
- Research Support
- Non-U.S. Gov't
Summary
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The research focused on understanding the lactation mechanism in Kazakh horses based on the difference of gene expression in milk fat from horses with different milk yields. The identification of differentially expressed genes (DEGs) presented an intricate connection to various biological signaling pathways, offering new insights into mammalian lactation.
Objective
- The primary objective of the study was to enrich the current understanding of lactation processes, particularly in Kazakh horses. The researchers aimed to achieve this by exploring the differences in mRNA expression in milk fat among horses with varying milk yields.
Methodology
- Total RNA was extracted from the milk fat during the peak lactation period. This period was chosen due to the high activity of the mammary glands and the considerable volume of milk production, making it an optimal time for observation.
- A comparative transcriptome analysis was conducted for the high-yield and low-yield groups. From this analysis, 310 DEGs were identified between the two groups.
Significant Findings
- The identified DEGs play prominent roles in lactation by participating in multiple signaling pathways. These include AMPK, FoxO, ErbB, and VEGF, all of which are integral to various biological and cellular processes.
- Quantitative PCR was used to validate 5 selected DEGs, reinforcing the findings from the RNA-sequencing analysis.
Study Impact
- This research has established a new perspective for understanding the mechanism of lactation in equids. This could be pivotal for further research in horse breeding, milk production optimization, and even the broader field of mammalian lactation studies.
Limitations and future directions
- While the study presents significant findings, it should be noted that the research is centered specifically on Kazakh horses. As such, the extent to which these findings can be generalized to other horse breeds or mammals overall remains to be examined.
- Future research should look to expand on these findings, potentially exploring the potential variances between other breeds or even different species.
Cite This Article
APA
Yu X, Fang C, Liu L, Zhao X, Liu W, Cao H, Lv S.
(2021).
Transcriptome study underling difference of milk yield during peak lactation of Kazakh horse.
J Equine Vet Sci, 102, 103424.
https://doi.org/10.1016/j.jevs.2021.103424 Publication
Researcher Affiliations
- Xinjiang Agricultural University, Urumuqi, China.
- University of Liege, Liege, Belgium.
- Xinjiang Agricultural University, Urumuqi, China.
- University of Liege, Liege, Belgium.
- Xinjiang Agricultural University, Urumuqi, China. Electronic address: lwj_ws@163.com.
- Xinjiang Agricultural University, Urumuqi, China.
- Xinjiang Agricultural University, Urumuqi, China.
MeSH Terms
- Animals
- Female
- Gene Expression Profiling / veterinary
- Horses
- Lactation
- Milk
- Transcriptome / genetics
Citations
This article has been cited 1 times.- Lu H, Zhang W, Sun S, Mei Y, Zhao G, Yang K. Effect of Supplementary Feeding on Milk Volume, Milk Composition, Blood Biochemical Index, and Fecal Microflora Diversity in Grazing Yili Mares.. Animals (Basel) 2023 Jul 26;13(15).
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