ArticleFrontiers in microbiology2024
Survey of the fecal microbiota of indigenous small ruminants living in different areas of Guizhou.
Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Maternal methionine supplementation in low-protein diets during late gestation and lactation increases performance and alters fecal microbiota of sows and their offspring.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2026Article
- Multi-kingdom fecal microbiome and virus-host interactions associated with growth performance of indigenous beef calves in Guizhou.BMC microbiology · 2026Article
- How Habitat Micromodification Influences Gut Microbiota and Diet Composition of Reintroduced Species: Evidence from Endangered Père David's Deer.Microorganisms · 2026Article
- Characterisation of the Faecal Microbiome of Alpacas Raised in South Eastern Australia.Animals : an open access journal from MDPI · 2025Article
- Metagenomic sequencing reveals the taxonomic and functional characteristics of rumen microorganisms in Dongliu buffalo.Scientific reports · 2025Article
- Analysis of Fecal Microbiome and Metabolome Changes in Goats When Consuming a Lower-Protein Diet with Varying Energy Levels.Microorganisms · 2025Article
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Authors and funding
7 authors.
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Abstract
Introduction: Gut microbiota are associated with the health and performance of ruminant species, and they are affected by altitude, host genetics, and sex. However, there has been little research on comparing the fecal microbiota of indigenous small ruminants such as sheep and goats in Guizhou province, China. In the present study, we revealed the effect of altitude, genetics, and sex on fecal microbiota profiles and enterotypes in indigenous small ruminants of Guizhou province, China. Methods: Fecal samples were collected from Hei and Qianbei Ma goats and Weining sheep in the Chinese province of Guizhou. 16S rRNA gene sequencing targeting the V3-V4 region was performed using the Illumina MiSeq platform. Sequences were processed using QIIME2, and the qualified sequences were processed using the plugin DADA2 to generate amplicon sequence variants (ASVs). The statistical analysis was performed using R studio. Results: The fecal microbial profile was found to vary by herd (influenced by genetics/altitude) and sex. All samples were categorized into two enterotypes. The first enterotype is dominated by Discussion: Our findings may provide new insights into the fecal microbial community and enterotypes in small ruminants by herds, offering clues for understanding the mechanisms by which the fecal microbiota contribute to divergent host phenotypes in indigenous small ruminants in Guizhou.
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