Evidence map›Paper›PMID 32410629›Full record

ArticleBMC microbiology2020

Dynamic distribution of gut microbiota in meat rabbits at different growth stages and relationship with average daily gain (ADG).

Shaoming Fang, Xuan Chen, Jiahua Pan, Qiaohui Chen, Liwen Zhou, Chongchong Wang, Tianfang Xiao, Qian Fu Gan

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 41 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Shaoming FangCollege of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Xuan ChenCollege of Life Science, Fujian Agriculture and Forestry University, Fuzhou, China.
Jiahua PanCollege of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Qiaohui ChenCollege of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Liwen ZhouCollege of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Chongchong WangCollege of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Tianfang XiaoCollege of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. tfxiao@fafu.edu.cn.
Qian Fu GanCollege of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. ganning707@163.com.
Fujian Agriculture and Forestry University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mammalian intestinal tract harbors diverse and dynamic microbial communities that play pivotal roles in host health, metabolism, immunity, and development. Average daily gain (ADG) is an important growth trait in meat rabbit industry. The effects of gut microbiota on ADG in meat rabbits are still unknown.

resultsIn this study, we investigated the dynamic distribution of gut microbiota in commercial Ira rabbits from weaning to finishing and uncover the relationship between the microbiota and average daily gain (ADG) via 16S rRNA gene sequencing. The results indicated that the richness and diversity of gut microbiota significantly increased with age. Gut microbial structure was less variable among finishing rabbits than among weaning rabbits. The relative abundances of the dominant phyla Firmicutes, Bacteroidetes, Verrucomicrobia and Cyanobacteria, and the 15 predominant genera significantly varied with age. Metagenomic prediction analysis showed that both KOs and KEGG pathways related to the metabolism of monosaccharides and vitamins were enriched in the weaning rabbits, while those related to the metabolism of amino acids and polysaccharides were more abundant in the finishing rabbits. We identified 34 OTUs, 125 KOs, and 25 KEGG pathways that were significantly associated with ADG. OTUs annotation suggested that butyrate producing bacteria belong to the family Ruminococcaceae and Bacteroidales_S24-7_group were positively associated with ADG. Conversely, Eubacterium_coprostanoligenes_group, Christensenellaceae_R-7_group, and opportunistic pathogens were negatively associated with ADG. Both KOs and KEGG pathways correlated with the metabolism of vitamins, basic amino acids, and short chain fatty acids (SCFAs) showed positive correlations with ADG, while those correlated with aromatic amino acids metabolism and immune response exhibited negative correlations with ADG. In addition, our results suggested that 10.42% of the variation in weaning weight could be explained by the gut microbiome.

conclusionsOur findings give a glimpse into the dynamic shifts in gut microbiota of meat rabbits and provide a theoretical basis for gut microbiota modulation to improve ADG in the meat rabbit industry.

Indexed as

AnimalsBacteriaBody WeightDNA, BacterialDNA, RibosomalFecesGastrointestinal MicrobiomeMeatPhylogenyRabbitsRNA, Ribosomal, 16SSequence Analysis, DNAWeaningDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S16S rRNAADGDynamic distributionGut microbiotaIra rabbits

Identifiers

PMID32410629
PMCPMC7227296
OpenAlexW3025453081

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.