Determination results of VFAs, NH3-N and CL
There were certain differences for VFAs in the rumen fluid of Tibetan goat of different sex (Table 1). The total VFAs content of rams were extremely higher than that of ewes (P<0.01). Acetic acid was significantly difference between different sexes, which was manifested as that rams were significantly higher than ewes (P<0.05). The concentration of propionic acid, isobutyric acid, butyric acid, isovaleric acid and valeric acid in ewes was higher than that in ewes, but there was no significant difference (P>0.05). The NH3-N content in rams was higher than that of ewes (P>0.05). The fluid cellulase (CL) activity showed that rams were higher than ewes (P>0.05).
Table 1 Rumen fermentation parameters of Tibetan goat of different sex
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)
NOTE:TGM indicates rams,TGFM indicates ewes;A/P indicates Acetic acid/Propionic acid.
Expression determination of VFAs absorption related genes
There were differences in expression of genes related to VFAs transport in rumen epithelium between ewes and rams (Fig. 1). The relative expression levels of AE2, DRA, NHE1, NHE2 and MCT-1 in ewes were significantly higher than those in rams (P<0.05). The expression levels of DRA, MCT-1 and NHE1 were extremely significant difference between ewes and rams (P<0.01) and there was no significant difference in the expression of MCT-4 (P>0.05). Moreover, The expression of MCT-1 in ewes was 1544 times, 16 times, 7538 times, 56 times and 130 times of AE2, DRA, MCT-4, NHE1 and NHE2, respectively.
Diversity of rumen microbiota
A total of 612,007 pairs of reads were obtained in this study, and 610,284 clean reads were generated after tiling and filtering of double-ended reads, and at least 62,730 clean reads were generated for each sample, with an average of 76,286 clean reads were produced. Usearch software was used to cluster Tags at the similarity level of 97% to obtain the number of OTUs of each sample. A total of 969 OTU were obtained, including 945 OTU in rams and 945 OTU in ewes, and 12 unique OTU for each(Fig. 2A). The dilution curve described the species diversity and species richness of each sample, and the flattening of the curve at 30,000 reads indicated that the sequencing coverage was saturated (Fig. 2B). Alpha diversity analysis (Table 2) showed that the ewes were lower than the rams about ACE and Chao1 indexes, but the difference was not significant (P > 0.05), while the Shannon and Simpson indexes were that the ewes were higher than the rams, but the difference was also not significant (P > 0.05).
Table 2 Alpha diversity
![](data:image/png;base64,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)
The composition of rumen microbiota
At the taxonomic level, a total of 15 phyla, 14 classes, 31 orders, 55 families, 129 genera , and 156 species were detected in this study. At the phylum level, Bacteroidetes and Firmicutes were the dominant phylum, and their relative abundances were all greater than 1% (Fig. 3A). The relative abundance of Bacteroidetes and Firmicutes was the highest in both ewes and rams, accounting for more than 70% of the total abundance. In addition, different species at the phylum level such as Firmicutes, Fibrobacteres and Spirochaetes were the dominant phyla, and the relative abundance of three different species in ewes was significantly higher than that of rams (P<0.05). At the genus level (Fig. 3B), there were 56 genera with relative abundance greater than 0.1%, and Prevotella_1 was the dominant genus in the rumen of both rams and ewes.A total of 13 different species were identified among 129 genera (P<0.05). The relative abundance of Fibrobacter, Ruminococcus_1, uncultured_bacterium_f_Prevotellaceae, Erysipelotrichaceae_UCG-004, Oscillospira, Pyramidobacter and uncultured_bacterium_f_Mitochondria in ewes was significantly higher than that of rams (P<0.05). In addition, the relative abundance of Lachnospira and Ruminococcaceae_NK4A214_group was significantly higher than that of ewes (P<0.05). LEfSe analysis of samples between groups found (Fig. 4) that there were statistically different biomarkers between ewes and rams (LDA score>4), and there were seven differential biomarkers in rams, and differences were significant between ewes and rams.
Prediction of rumen microbiota function
A total of 46 KEGG gene families and 25 COG gene families were identified in the 16S rRNA gene sequencing data using PICRUSt software to predict gene function. Among these predictions, 2 COG gene families showed significant differences between ewes and rams.Of the 43 KEGG gene families, the vast majority were pathways related to metabolism, of which the largest proportion was the function related to carbohydrate metabolism, followed by Amino Acid metabolism and energy metabolism. There were no significant differences that amino acid metabolism and nucleotide metabolism were higher than in ewes that in rams (P>0.05). Among the 25 COG gene families, the functions related to Replication, recombination and repair, RNA processing and modification (Table 3) showed that ewes were significantly higher than rams (P<0.05);
Table 3 Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis
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)
Determination of rumen microbial community density
Fig. 5 shows that there were significant differences in the density of the rumen microbiota of different sex in Tibetan goat. Butyrivibrio fibrisolvens had the highest relative expression in Tibetan goat of different sex, and was significantly higher than other microbiota (P<0.05). In the rumen microbiota of different sex, the relative expression of Fibrobacter succinogenes, Ruminococcus albus and Metha nogenic bacteria were higher in ewes than in rams, while Ruminococcus albus and Methanogens were significantly different between rams and ewes (P<0.05). The relative expression levels of Butyrivibrio fibrolytica, Ruminobacter amylophilus and Ruminococcus flavanum were higher in rams than ewes, and the difference was not significant (P>0.05).
Interactions between rumen microbiota,VFAs and expressions of genes related to transport
As shown in fig. 6, the correlation heat map (correlation threshold>0.5) was constructed between rumen microbiota (top 20 genus level microorganisms with relative abundance) and VFAs and rumen epithelium mRNA expression (2-∆∆CT) of Tibetan goat. There was significant negative correlation between VFAs and the three genus level microorganisms (P<0.05) and significant positive correlation between VFAs and other three genus level microorganisms (P>0.05). Furthermore, Ruminococcaceae_NK4A214_group and Prevotellaceae_UCG-003 showed significant positive correlated with VFAs (P<0.05),
while Ruminococcaceae_NK4A214_group was positively correlated with acetic acid in a significant way (P<0.05). Moreover, Treponema_2, Fibrobacter and Ruminococcus_1 showed significant correlated with VFAs (P<0.05). Uncultured_bacterium_f_Lachnospiraceae, Butyrivibrio_2 and Prevotellaceae_UCG-001 were negatively correlated with ammonia nitrogen (P<0.05).
In addition, the genes related to VFAs transport were correlated with eight genus level microorganisms. Ruminococcus_1 was significantly positively correlated with NHE2 and MCT-1 (P<0.05), and negatively correlated with acetic acid (P<0.05). Fibrobacter showed significant positive correlation with NHEI (P<0.05), and significant negative correlation with acetic acid (P<0.05). Prevotellaceae_UCG-003 was significantly negatively correlated with MCT-1 (P<0.05), and positively correlated with acetic acid (P<0.05).