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Table 1.

Serum biochemical indicators of MSTN mutant (MT) and wild-type (WT) cattle.

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Table 1 Expand

Fig 1.

The Rarefaction curve (A) and Shannon diversity curve (B) of bacterial community in the analyzed samples.

WT, wild type cattle; MT, MSTN mutant cattle.

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Fig 1 Expand

Fig 2.

Venn diagram of the bacterial community in the analyzed groups.

It shows the numbers of shared or not shared OTUs (A), phyla (B) and genera (C) by wild type cattle (WT) and MSTN mutant cattle (MT) individuals depending of overlaps.

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Fig 2 Expand

Fig 3.

ACE index (A), Chao1 diversity (B), Shannon diversity (C) and Simpson indices (D) of bacterial populations in each sample.

WT, wild type cattle; MT, MSTN mutant cattle.

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Fig 3 Expand

Fig 4.

Results of the non-metric multidimensional scaling (NMDS) analysis.

WT, wild type cattle; MT, MSTN mutant cattle.

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Fig 4 Expand

Fig 5.

Bar graph of the relative bacterial abundance at phylum (A) and genus (B) level.

The Bacterial those with relative abundance (%) over 1% were shown. Others, bacterial with a relative abundance of less than 1%. WT, wild type cattle; MT, MSTN mutant cattle.

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Fig 5 Expand

Fig 6.

Linear discriminant analysis effect size (LEfSe) analysis.

The microbial species which had significant differences in WT and MT cattle. Red presents the MT group, green presents the WT group. The classification at the level of genus, family, order, class and phylum were exhibited from the outside to the inside (LDA score > 2.0).

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Fig 6 Expand

Fig 7.

Relationship between serum biochemical indicators and gut microbial communities.

(A) Bacterial community functional prediction by KEGG database. (B) Redundancy discriminant analysis (RDA) biplot indicating relationships between bacterial communities and serum biochemical indicator variables. (C) Relationship between serum biochemical indicator and gut microbial communities. Red/blue: positively/negatively correlation.*p < 0.05; **p < 0.01; ***p < 0.001.

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Fig 7 Expand