Ages of weaning influence the gut microbiota diversity and function in Chongming white goats

Liao, Rongrong; Xie, Xinhua; Lv, Yuhua; Dai, Jianjun; Lin, Yu; Zhu, Lihui

doi:10.1007/s00253-021-11301-2

Cited by 23 publications

(29 citation statements)

References 38 publications

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“…At the genus level, 168 genera in the six fecal samples were identified, of which 21 showed an average relative abundance above 1%. Most of them were related to metabolism by function prediction, of which some were butyrate-producing gut bacteria, such as Ruminococca-ceae_UCG-005 [31], Ruminococcaceae_UCG-014, Ruminococcaceae_UCG-010, Ruminococca-ceae_UCG-013, uncultured_bacterium_o_Mollicutes_RF39 [32], and PLOS ONE uncultured_bacterium_o_Clostridiales [33]; others were cellulose-degrading bacteria, such as Ruminococcaceae_UCG-005, Rummeliibacillus [34], uncultured_bacterium_f_Ruminococcaceae, and Prevotellaceae_UCG-004 [35]. These bacteria are strongly associated with obesity, food metabolism, and serum metabolites.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the gut microbiota composition of myostatin mutant cattle prepared using CRISPR/Cas9

2022

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Myostatin (MSTN) negatively regulates muscle development and positively regulates metabolism through various pathways. Although MSTN function in cattle has been widely studied, the changes in the gut microbiota due to MSTN mutation, which contribute to host health by regulating its metabolism, remain unclear. Here, high-throughput sequencing of the 16S rRNA gene was conducted to analyze the gut microbiota of wild-type (WT) and MSTN mutant (MT) cattle. A total of 925 operational taxonomic units (OTUs) were obtained, which were classified into 11 phyla and 168 genera. Alpha diversity results showed no significant differences between MT and WT cattle. Beta diversity analyses suggested that the microbial composition of WT and MT cattle was different. Three dominant phyla and 21 dominant genera were identified. The most abundant bacterial genus had a significant relationship with the host metabolism. Moreover, various bacteria beneficial for health were found in the intestines of MT cattle. Analysis of the correlation between dominant gut bacteria and serum metabolic factors affected by MSTN mutation indicated that MSTN mutation affected the metabolism mainly by three metabolism-related bacteria, Ruminococcaceae_UCG-013, Clostridium_sensu_stricto_1, and Ruminococcaceae_UCG-010. This study provides further insight into MSTN mutation regulating the host metabolism by gut microbes and provides evidence for the safety of gene-edited animals.

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Section: Discussionmentioning

confidence: 99%

Analysis of the gut microbiota composition of myostatin mutant cattle prepared using CRISPR/Cas9

2022

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“…Lachnospiraceae and Ruminococcaceae were mainly enriched in MP. Genera from the families Lachnospiraceae and Ruminococcaceae exhibit anti-inflammatory functions including Ruminococcaceae_UCG-005 , and are also reported to be involved in the production of short-chain fatty acids (SCFAs) ( Liu et al, 2019 ; Vojinovic et al, 2019 ; Li et al, 2021 ; Liao R. et al, 2021 ), which are essential for the regulation of intestinal microbiota balance and the maintenance of intestinal epithelium integrity ( Tan et al, 2014 ; Kelly et al, 2015 ). Moreover, Ruminococcaceae bacteria have the ability to degrade cellulose and starch, which is closely related to feed efficiency in herbivorous animals ( Zhao et al, 2018 ).…”

Section: Discussionmentioning

confidence: 99%

Metabolic Alternations During Gestation in Dezhou Donkeys and the Link to the Gut Microbiota

Liu

et al. 2022

Front. Microbiol.

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The maternal intestinal microbial community changes dramatically during pregnancy and plays an important role in animal growth, metabolism, immunity and reproduction. However, our understanding of microbiota compositional dynamics during the whole pregnancy period in donkey is incomplete. This study was carried out to evaluate gut microbiota alterations as well as the correlation with serum biochemical indices, comparing pregnant donkeys to non-pregnant donkeys. A total of 18 pregnant (including EP, early-stage pregnancy; MP, middle-stage pregnancy and LP, late-stage pregnancy) and six non-pregnant (C as a control) donkey blood samples and rectum contents were collected. The results showed that pregnant donkeys had higher microbial richness than non-pregnant donkeys and that the lowest microbial diversity occurred at the EP period. Moreover, the relative abundances of the families Clostridiaceae and Streptococcaceae were significantly higher in the EP group (p < 0.05) than that in the C and MP groups, while the relative abundances of the families Lachnospiraceae and Rikenellaceae were significantly lower in the EP group (p < 0.05) than that in the C group. The predicted microbial gene functions related to the inflammatory response and apoptosis, such as Staphylococcus aureus infection, the RIG-1-like receptor signaling pathway and apoptosis, were mainly enriched in EP. Furthermore, pregnant donkeys had higher glucose levels than non-pregnant donkeys, especially at EP period. EP donkeys had lower triglyceride, total protein and albumin levels but higher malondialdehyde, interleukin 1β, interleukin 6 and tumor necrosis factor-α levels than those in the C and MP groups. Additionally, there were strong correlations between inflammatory cytokine levels and the relative abundances of genera belonging to the Clostridiaceae and Streptococcaceae families. This is the first comparative study performed in donkeys that indicates that pregnancy status (especially in the early pregnancy period) alters the gut microbiota composition, which was correlated with serum biochemical parameters. These results could provide useful information for improving the reproductive management in Dezhou donkeys.

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“…( 24 ), and Liao et al. ( 25 ). Briefly, flexible PVC tube (2 mm of wall thickness × 6 mm of internal diameter) with holes of 2.5 mm diameter in the 15 cm-probe head (Anscitech Co. Ltd. Wuhan, China) was connected to an electric vacuum pump (7 mbar) and was inserted into the rumen of goats via the esophagus to collect the rumen sample.…”

Section: Methodsmentioning

confidence: 96%

“…The DNA was amplified using the 341F/806R primer set (341 F: 5′-CCTATYGGGRBGCASCAG-3′, 806R: 5′-GGACTACNNGGGTATCTAAT-3′), which targets the V3-V4 region of the bacterial 16S rRNA gene. Paired-end sequencing (2 × 300 bp) was performed on the Illumina NovaSeq 6000 platform according to the standard protocols (Novogene Technology Co. Ltd., Tianjin, China) ( 23 – 25 ). The identified sequences were deposited in the NCBI Sequence Read Archive (SRA) under the accession No.…”

Section: Methodsmentioning

confidence: 99%

Rumen and fecal microbiota profiles associated with immunity of young and adult goats

Luo

Zhang

et al. 2022

Front. Immunol.

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Low immunity at birth increases risk of disease of young livestock, such as goat kids. Microbiomes change as animals mature, and a healthy microbiome is related to decreased risk of disease. The relationship between microbiota profiles and immunity at different developmental stages remains unclear. Young (female, n = 12, 30 d) and adult (female, n = 12, 2 yrs. old) Saanen dairy goats were used to investigate changes in rumen microbiomes, fecal microbiomes, and their correlations to circulating immune factors. Serum IgG (P = 0.02) and IgM (P < 0.01) were higher at 2 years than 30 d of age, but there were no differences in IgA (P = 0.34), IL-2 (P = 0.05), IL-4 (P = 0.37) and IL-6 (P = 0.73) between ages. Amplicon sequencing analysis revealed young goats had a higher diversity of bacterial communities in rumen and lower diversity in feces compared with adult goats. Ten genera in rumen and 14 genera in feces were positively correlated with serum IgM concentration across both ages. Olsenella, Methanosphaera, Quinella, Candidatus_Saccharimonas, and Methanobrevibacter in rumen and Ruminobacter, Treponema, Rikenelaceae_ RC9_ gut_ Group in feces were positively correlated with the concentration of IgG. The correlation analysis using weighted gene co-expression network analysis showed the MEblue module was positively associated with the IgG and IgM. These data provide novel insight into the association between rumen-feces microbiota and immune response. Further experiments are needed to investigate whether inoculating young livestock with immune-related bacteria identified can improve the immune status. Our data suggest a possible strategy to improve the immunity of the kids by alterative microbiota profiles.

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Ages of weaning influence the gut microbiota diversity and function in Chongming white goats

Cited by 23 publications

References 38 publications

Analysis of the gut microbiota composition of myostatin mutant cattle prepared using CRISPR/Cas9

Analysis of the gut microbiota composition of myostatin mutant cattle prepared using CRISPR/Cas9

Metabolic Alternations During Gestation in Dezhou Donkeys and the Link to the Gut Microbiota

Rumen and fecal microbiota profiles associated with immunity of young and adult goats

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