| Literature DB >> 31775375 |
Ke Zhang1, Bibo Li1, Mengmeng Guo2, Gongwei Liu1, Yuxin Yang1, Xiaolong Wang1, Yulin Chen1, Enping Zhang1.
Abstract
With increasing age, the rumen microbiota of new-born ruminants become central in the translation of fibrous feed substances into essential nutrients. However, the colonization process of the microbial community (especially fungal community) remains poorly understood in ruminants at pre-weaning stages. In this study, the rumen bacterial and fungal colonization processes were investigated in goats at eight stages using amplicon sequencing. For bacteria, we found 36 common core genera at D0, D3, D14, D28, and D56, including mainly Bacillus, Alloprevotella, Bacteroides, Prevotella_1, Lactococcus, and Ruminococcaceae_NK4A214. Firmicutes was the dominant phylum among the total microbiota in newborn goat kids (prior to nursing), while Bacillus, Lactococcus, and Pseudomonas were predominant genera. Interestingly, the proportion of Bacillus was as high as 55% in newborn animals. After milk nursing, the predominant phylum changed to Bacteroidetes, while the proportion of Bacillus and Lactobacillus was very low. CowPi was used to predict the functional gene pathways and we found increases in the abundance of genes associated with amino acid related enzymes, DNA repair and recombination proteins, aminoacyl tRNA biosynthesis, and peptidases after D3. With regard to fungi, we found that there were 51 common genera at day 0 (D0), D3, D14, D28, and D56, including mainly Cryptococcus, Aspergillus, and Caecomyces. Aspergillus occupied approximately 47% at day 0, but then it decreased from day 3 to day 14. This study indicates that the core microbes of rumen emerged shortly after birth, but the abundance was very different from the core genus of the adult rumen. In addition, we also report a detailed scheme of the bacterial and fungal colonization process in rumens and propose three distinct stages during the rumen colonization process in pre-weaning goats, which will offer a reference for the development of milk substitutes for small ruminants.Entities:
Keywords: 16S ribosomal DNA; fungi; microbiome; pre-weaning model; rumen; ruminant
Year: 2019 PMID: 31775375 PMCID: PMC6941170 DOI: 10.3390/ani9121028
Source DB: PubMed Journal: Animals (Basel) ISSN: 2076-2615 Impact factor: 2.752
Valid sequences and alpha diversity.
| Days | Bacterial | Fungi | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reads | OTU | Ace | Chao | Shannon | Simpson | Reads | OTU | Ace | Chao | Shannon | Simpson | |
| D0 | 23,242 | 364.33 abc | 493.67 abc | 498.33 ab | 2.40 d | 0.33 a | 28,995 | 123.67 b | 129.00 c | 132.33 c | 2.8 | 0.18 |
| D3 | 23,242 | 151.00 d | 207.00 d | 196.33 c | 3.05 cd | 0.13 b | 28,995 | 176.00 ab | 191.00 c | 190.00 c | 2.79 | 0.15 |
| D7 | 23,242 | 183.00 d | 226.00 d | 226.67 c | 2.87 cd | 0.12 b | 28,995 | 227.00 ab | 260.33 bc | 258.67 abc | 2.46 | 0.25 |
| D14 | 23,242 | 269.67 cd | 368.67 cd | 357.00 bc | 3.13 bcd | 0.10 b | 28,995 | 206.33 ab | 245.33 bc | 253.67 abc | 2.44 | 0.25 |
| D21 | 23,242 | 519.33 a | 626.67 ab | 637.67 a | 4.06 ab | 0.05 b | 28,995 | 285.00 a | 360.67 ab | 359.67 ab | 3.11 | 0.11 |
| D28 | 23,242 | 503.33 ab | 656.00 a | 641.67 a | 4.07 ab | 0.05 b | 28,995 | 314.33 a | 431.33 a | 403.67 a | 2.9 | 0.13 |
| D42 | 23,242 | 348.67 bc | 447.67 bc | 457.33 ab | 3.64 abc | 0.06 b | 28,995 | 179.00 ab | 234.00 bc | 217.00 bc | 2.38 | 0.22 |
| D56 | 23,242 | 512.00 a | 590.67 ab | 595.67 a | 4.42 a | 0.04 b | 28,995 | 202.33 ab | 260.00 bc | 251.67 abc | 2.37 | 0.22 |
| SEM | 32.28 | 38.26 | 38.95 | 0.16 | 0.02 | 18.31 | 22.11 | 22.577 | 0.145 | 0.025 | ||
| 0.24 | 0.24 | 0.21 | 0.04 | 0.01 | 0.02 | 0.09 | 0.1 | 0.16 | 0.15 | |||
Note: a,b,c,d Values in the same column with different superscripts differ significantly (p < 0.05); SEM represent standard error of mean. OTU, operational taxonomic units
Figure 1Bacterial composition similarity and overlap in genera level between eight different age samples. (A) Venn graph analysis. Different colors represent different groups, overlapping parts represent genus that are common among multiple groups, parts of not overlap represent genus that are specific to the group, and numbers indicate the number of genus corresponding. (B) Proportional distribution belongs to the common genus throughout the age. Different colors indicate different genus, and the pie chart area indicates the number of genus in the total number of genus.
Figure 2Fungal composition similarity and overlap in genera level between eight different age samples. (A) Venn graph analysis. Different colors represent different groups, overlapping parts represent genus that are common among multiple groups, parts of not overlap represent genus that are specific to the group, and numbers indicate the number of genus corresponding. (B) Proportional distribution belongs to the common genus throughout the age. Different colors indicate different genus, and the pie chart area indicates the number of genus in the total number of genus.
Figure 3Bacterial and fungal community dissimilarities between eight different age samples. (A) Principal coordinate analysis at the OTU level of the community structure in bacteria of the goat rumen. (B) Principal coordinate analysis at the OTU level of the fungal community structure of the goat rumen. Different colors represent different age groups. The compositions of all bacteria (C) and fungi (D) at the phylum level of goat rumen of different age groups. (E) The classification of dominant bacterial populations in different samples was studied mainly via statistical clustering.
Figure 4Relative abundance of bacterial and fungal genera for eight different age samples. (A) Phylogenetic tree on genus level. Each branch in the phylogenetic tree represents genu, and the length of the branch is the evolutionary distance between the two genera; the right column shows the relative proportion of reads that belong to different species in each group. (B) Compositions of all bacteria based on genus sequences in goat rumens in different age groups. (C) Compositions of all fungi based on genus sequences in the goat rumens in different age groups.
Figure 5Colonization of specific bacteria in the rumen. Test of significance difference of goat ruminal bacteria of different age groups.
Figure 6Metagenomic functional predictions using CowPi. (A) The PCoA analysis of different age groups in KEGG metabolic pathways. (B) Variations in KEGG metabolic pathways in functional bacterial communities throughout the rumen of goat kids. (C) Heatmaps show the average relative abundance of functional pathways of eight different ages.