母猪阴道微生物群的分化与生育能力有关。

IF 3.7 3区 生物学 Q1 DEVELOPMENTAL BIOLOGY
Reproduction Pub Date : 2025-06-01 DOI:10.1530/REP-25-0044
Lauren Fletcher, Xiaoshu Zhan, Yashu Song, Julang Li
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引用次数: 0

摘要

由于目前的选择方案无法跟上其他生产相关性状的改进速度,因此猪肉行业需要可靠和有效的女性生育能力和生殖潜力生物标志物。本研究旨在研究不同生育状况母猪阴道微生物群的组成,并确定母猪生育能力的候选阴道微生物生物标志物。研究了产仔数≥13头的高繁殖性能母猪(HRP, n=52)和连续两轮人工授精后仍未怀孕的不育母猪(INF, n=23)的阴道微生物群。测序结果显示HRP和INF阴道微生物群落在属水平上的β多样性显著差异(p < 0.05)。由此可见,HRP母猪和INF母猪阴道菌群组成存在差异,INF母猪在属水平上增加了毛螺杆菌科XPB1014组的相对丰度(p < 0.05), HRP母猪在属水平上增加了航空球菌和葡萄球菌的相对丰度(p < 0.05)。通过偏最小二乘判别分析(PLS-DA)和递归特征消除(RFE)筛选出42个属作为母猪肥力的候选生物标志物。支持向量机(SVM)模型对母猪肥力的分类准确率为93.3%,支持潜在的行业应用,以改进当前种猪群的选择和招募方法。未来的研究应在大量独立的母猪和后备母猪群体中验证候选阴道微生物群生物标志物,以评估其在预测未来繁殖性能方面的应用,并评估其真正的工业适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Divergence in the Sow Vaginal Microbiota is Associated with Fertility.

There is a need for reliable and effective biomarkers of female fertility and reproductive potential in the pork industry as current selection protocols are not keeping up with the rate of improvement for other production-related traits. This study aimed to investigate the vaginal microbiota composition between sows of differing fertility status and identify candidate vaginal microbial biomarkers of sow fertility. The vaginal microbiota of high reproductive performance sows (HRP, n=52) with number of piglets born alive ≥ 13 and infertile sows (INF, n=23), that remained nonpregnant after two consecutive rounds of artificial insemination were investigated. Sequencing results revealed significantly different (p < 0.05) beta diversity at the genus level between HRP and INF vaginal microbiota communities. Accordingly, the composition of the vaginal microbiota diverged between HRP and INF sows, with INF sows having increased (p < 0.05) relative abundance of Lachnospiraceae XPB1014 group and HRP sows having increased (p < 0.05) relative abundance of Aerococcus and Staphylococcus at the genus level. Forty-two genera were selected as candidate biomarkers of sow fertility via partial least squares discriminant analysis (PLS-DA) and recursive feature elimination (RFE). The support-vector machine (SVM) model classified sow fertility with 93.3% accuracy, supporting potential industry application to improve upon current methods for selection and recruitment in the breeding herd. Future investigations should validate the candidate vaginal microbiota biomarkers in a large, independent population of sows and gilts to evaluate their application for predicting future reproductive performance and assess their true industry applicability.

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来源期刊
Reproduction
Reproduction 生物-发育生物学
CiteScore
7.40
自引率
2.60%
发文量
199
审稿时长
4-8 weeks
期刊介绍: Reproduction is the official journal of the Society of Reproduction and Fertility (SRF). It was formed in 2001 when the Society merged its two journals, the Journal of Reproduction and Fertility and Reviews of Reproduction. Reproduction publishes original research articles and topical reviews on the subject of reproductive and developmental biology, and reproductive medicine. The journal will consider publication of high-quality meta-analyses; these should be submitted to the research papers category. The journal considers studies in humans and all animal species, and will publish clinical studies if they advance our understanding of the underlying causes and/or mechanisms of disease. Scientific excellence and broad interest to our readership are the most important criteria during the peer review process. The journal publishes articles that make a clear advance in the field, whether of mechanistic, descriptive or technical focus. Articles that substantiate new or controversial reports are welcomed if they are noteworthy and advance the field. Topics include, but are not limited to, reproductive immunology, reproductive toxicology, stem cells, environmental effects on reproductive potential and health (eg obesity), extracellular vesicles, fertility preservation and epigenetic effects on reproductive and developmental processes.
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