Evaluation of gut microbial diversity of the domestic goat Capra hircus

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Domestic goats remain important as farm animals, whose health influences the quality and yield of livestock products. Animal health depends on housing conditions and nutrition, including effective digestion, which is significantly influenced by microorganisms inhabiting the pathways of the gastrointestinal tract. Ruminants, such as goats, host a unique community of bacteria, that varies depending on age and region of residence. One major challenge is identifying the normal members of the goat gut microbiome, and distinguishing these from members that may vary in goats without indicating disease. This study synthesizes available published data to address this issue.

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V. Volodin

Engelhardt Institute of Molecular Biology, Russian Academy of Sciences

Email: natalyagladish@gmail.com
俄罗斯联邦, Moscow

N. Gladysh

Engelhardt Institute of Molecular Biology, Russian Academy of Sciences

编辑信件的主要联系方式.
Email: natalyagladish@gmail.com
俄罗斯联邦, Moscow

A. Piskunov

Vavilov Institute of General Genetic, Russian Academy of Sciences

Email: natalyagladish@gmail.com
俄罗斯联邦, Moscow

Yu. Stolpovsky

Vavilov Institute of General Genetic, Russian Academy of Sciences

Email: natalyagladish@gmail.com
俄罗斯联邦, Moscow

Zh. Samsonova

Lomonosov Moscow State University

Email: natalyagladish@gmail.com
俄罗斯联邦, Moscow

N. Saushkin

Lomonosov Moscow State University

Email: natalyagladish@gmail.com
俄罗斯联邦, Moscow

A. Kudryavtsev

Razumovsky Moscow State University of Technologies and Management (First Cossack University)

Email: natalyagladish@gmail.com
俄罗斯联邦, Moscow

A. Kudryavtseva

Engelhardt Institute of Molecular Biology, Russian Academy of Sciences

Email: natalyagladish@gmail.com
俄罗斯联邦, Moscow

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2. Fig. 1. Plot visualizing sample clustering based on Bray–Curtis dissimilarity and subsequent non-metric multidimensional scaling. Groups of adults (red) and young (turquoise) animals (a) and adult animals (b) from China (red), Egypt (green), India (turquoise), and Russia (purple) are highlighted.

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3. Fig. 2. Heatmap visualizing differential representation of taxa in samples grouped by age. Top 100 taxa are shown. FE-D0-X_bacteria_China.ok – newborn animals, FE-D7-X_bacteria_China.ok – 7 days old, FE-D14-X_bacteria_China.ok – 14 days, FE-D21-X_bacteria_China.ok – 21 days, FE-D28-X_bacteria_China.ok – 28 days, FE-D42-X_bacteria_China.ok – 42 days, FE-D56-X_bacteria_China.ok – 56 days, remaining animals are sexually mature.

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4. Fig. 3. Diagram of the relative representation of genera in each sample obtained from adult animals.

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