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巴基斯坦费萨拉巴德商业家禽养殖场的粪便微生物群景观:一项基于16S rRNA基因的宏基因组学研究。

Fecal microbiota landscape of commercial poultry farms in Faisalabad, Pakistan: A 16S rRNA gene-based metagenomics study.

作者信息

Khan Muhammad Moman, Mushtaq Muhammad Ahmed, Suleman Muhammad, Ahmed Umer, Ashraf Muhammad Faisal, Aslam Rizwan, Mohsin Mashkoor, Rödiger Stefan, Sarwar Yasra, Schierack Peter, Ali Aamir

机构信息

Institute for Biotechnology, Brandenburg University of Technology (BTU) Cottbus-Senftenberg, Senftenberg, Germany.

Clemson University, Clemson, United States.

出版信息

Poult Sci. 2025 Mar 23;104(6):105089. doi: 10.1016/j.psj.2025.105089.

DOI:10.1016/j.psj.2025.105089
PMID:40187012
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12002918/
Abstract

This study explores the microbiota of broiler and layer farms, aiming to understand how genetic breed, age, and farm type influence microbial communities in commercial settings. Fecal samples from 18 poultry farms (twelve layers and six broilers) in Faisalabad, Pakistan were analyzed using 16S rRNA gene sequencing of the V3-V4 region to evaluate bacterial composition. The dominant phylum, Firmicutes, accounted for 58.72 % of the microbial population, with Lactobacillus being the most abundant genus in both broilers and layers. The total abundance of potentially pathogenic genera was also assessed with Enterococcus and Corynebacterium being the most prevalent across all farms, regardless of bird type. Layers exhibited greater microbial richness and diversity than broilers, while the Karachi cage system (KCS) farm type showed higher richness than Floor system (FS). Although the breed significantly influenced microbial diversity, age was not a determining factor. Co-occurrence analyses revealed close interactions among phyla (Actinobacteriota, Proteobacteria, Firmicutes, Fusobacteriota, and Bacteroidota) and genera (Lactobacillus, Brevibacterium, Enterococcus), suggesting their pivotal roles within the microbial community. Additionally, functional analysis detected important metabolic pathways and traced microbial signatures of key pathogenic bacteria, enhancing our understanding of microbial contributions to poultry health. Despite limitations such as the need for broader geographic sampling and accounting for diet and medication, this study advances microbiome research in Pakistan's poultry sector, emphasizing consistent taxa and opening avenues for future investigations into microbiome manipulations for improved food safety and achieve better sustainable practices.

摘要

本研究探讨了肉鸡场和蛋鸡场的微生物群,旨在了解遗传品种、年龄和农场类型如何在商业环境中影响微生物群落。对巴基斯坦费萨拉巴德18个家禽养殖场(12个蛋鸡场和6个肉鸡场)的粪便样本进行分析,采用V3-V4区域的16S rRNA基因测序来评估细菌组成。优势菌门厚壁菌门占微生物种群的58.72%,乳酸杆菌是肉鸡和蛋鸡中最丰富的属。还评估了潜在致病属的总丰度,肠球菌和棒状杆菌在所有养殖场中最为普遍,无论鸡的类型如何。蛋鸡的微生物丰富度和多样性高于肉鸡,而卡拉奇笼养系统(KCS)农场类型的丰富度高于地面系统(FS)。虽然品种对微生物多样性有显著影响,但年龄不是决定因素。共现分析揭示了菌门(放线菌门、变形菌门、厚壁菌门、梭杆菌门和拟杆菌门)和属(乳酸杆菌属、短杆菌属、肠球菌属)之间的密切相互作用,表明它们在微生物群落中的关键作用。此外,功能分析检测到重要的代谢途径,并追踪了关键病原菌的微生物特征,增强了我们对微生物对家禽健康贡献的理解。尽管存在如需要更广泛的地理采样以及考虑饮食和药物等局限性,但本研究推动了巴基斯坦家禽业的微生物组研究,强调了一致的分类群,并为未来通过微生物组操纵改善食品安全和实现更好的可持续实践的研究开辟了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/55ae5b12c504/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/2192fef5ead1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/873046ecde70/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/ea2dc940113c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/9b40bd1310ed/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/b77955b74d4e/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/cdb0f638acdf/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/1167bdb91b0d/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/55ae5b12c504/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/2192fef5ead1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/873046ecde70/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/ea2dc940113c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/9b40bd1310ed/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/b77955b74d4e/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/cdb0f638acdf/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/1167bdb91b0d/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecba/12002918/55ae5b12c504/gr8.jpg

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本文引用的文献

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Greengenes2 unifies microbial data in a single reference tree.Greengenes2 将微生物数据统一在一个单一的参考树中。
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