Literature DB >> 33505795

Bacterial meta-analysis of chicken cecal microbiota.

Luis Alberto Chica Cardenas1,2, Viviana Clavijo3, Martha Vives3, Alejandro Reyes1,2,4.   

Abstract

Poultry production is an industry that generates 90,000 metric tons of chicken meat worldwide. Thus, optimizing chicken growth and sustainable production is of great importance. A central factor determining not only production parameters, but also stability of the immune system and chicken health, is the diversity and variability of the microbiota present throughout the gastrointestinal tract. To date, several studies have investigated the relationship between bacterial communities and the gut microbiome, with limited data to compare. This study aims to create a bacterial meta-analysis based on studies using amplicon sequencing with Illumina sequencing technologies in order to build a baseline for comparison in future analyses of the cecal bacterial composition in chicken. A systematic literature review was performed (SYRF ID: e84f0468-e418-4eec-9da4-b517f1b4809d. Full project URL: https://app.syrf.org.uk/projects/e84f0468-e418-4eec-9da4-b517f1b4809d/detail). From all the available and analyzed manuscripts only nine contained full raw-sequence data available and the corresponding metadata. A total of 324 samples, comprising three different regions within the 16S rRNA gene, were analyzed. Due to the heterogeneity of the data, each region was analyzed independently and an effort for a joint analysis was performed as well. Taxonomic profiling revealed 11 phyla, with Firmicutes as the most prevalent phylum, followed by Bacteroidetes and Proteobacteria. At genus level, 109 genera were found. Shannon metric for alpha diversity showed that factors like type of chickens (Commercial or experimental) and 16S rRNA gene subregion have negligible effect on diversity. Despite the large number of parameters that were taken into account, the identification of common bacteria showed five genera to be common for all sets in at least 50% of the samples. These genera are highly associated to cellulose degradation and short chain fatty acids synthesis. In general, it was possible to identify some commonalities in the bacterial cecal microbial community despite the extensive variability and factors differing from one study to another.
© 2021 Chica Cardenas et al.

Entities:  

Keywords:  16S rRNA sequencing; Bacterial diversity; Chicken microbiota; Meta-analysis

Year:  2021        PMID: 33505795      PMCID: PMC7792525          DOI: 10.7717/peerj.10571

Source DB:  PubMed          Journal:  PeerJ        ISSN: 2167-8359            Impact factor:   2.984


  48 in total

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Journal:  Nat Biotechnol       Date:  2019-08       Impact factor: 54.908

2.  Comparison of bacterial 16S rRNA variable regions for microbiome surveys of ticks.

Authors:  Janet L Sperling; K L Silva-Brandão; M M Brandão; V K Lloyd; S Dang; C S Davis; F A H Sperling; K E Magor
Journal:  Ticks Tick Borne Dis       Date:  2017-02-09       Impact factor: 3.744

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Journal:  Environ Microbiol       Date:  2016-06-27       Impact factor: 5.491

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Journal:  Nucleic Acids Res       Date:  2010-11-09       Impact factor: 16.971

5.  Age-Related Differences in the Luminal and Mucosa-Associated Gut Microbiome of Broiler Chickens and Shifts Associated with Campylobacter jejuni Infection.

Authors:  Wageha A Awad; Evelyne Mann; Monika Dzieciol; Claudia Hess; Stephan Schmitz-Esser; Martin Wagner; Michael Hess
Journal:  Front Cell Infect Microbiol       Date:  2016-11-22       Impact factor: 5.293

6.  Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns.

Authors:  Amnon Amir; Daniel McDonald; Jose A Navas-Molina; Evguenia Kopylova; James T Morton; Zhenjiang Zech Xu; Eric P Kightley; Luke R Thompson; Embriette R Hyde; Antonio Gonzalez; Rob Knight
Journal:  mSystems       Date:  2017-03-07       Impact factor: 6.496

7.  Composition of Gut Microbiota Influences Resistance of Newly Hatched Chickens to Salmonella Enteritidis Infection.

Authors:  Karolina Varmuzova; Tereza Kubasova; Lenka Davidova-Gerzova; Frantisek Sisak; Hana Havlickova; Alena Sebkova; Marcela Faldynova; Ivan Rychlik
Journal:  Front Microbiol       Date:  2016-06-17       Impact factor: 5.640

8.  Development of the Chick Microbiome: How Early Exposure Influences Future Microbial Diversity.

Authors:  Anne L Ballou; Rizwana A Ali; Mary A Mendoza; J C Ellis; Hosni M Hassan; W J Croom; Matthew D Koci
Journal:  Front Vet Sci       Date:  2016-01-20

9.  Microbial Populations in Naked Neck Chicken Ceca Raised on Pasture Flock Fed with Commercial Yeast Cell Wall Prebiotics via an Illumina MiSeq Platform.

Authors:  Si Hong Park; Sang In Lee; Steven C Ricke
Journal:  PLoS One       Date:  2016-03-18       Impact factor: 3.240

10.  Lactobacillus elicits a 'Marmite effect' on the chicken cecal microbiome.

Authors:  Angela Zou; Shayan Sharif; John Parkinson
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  1 in total

1.  A Probabilistic Structural Equation Model to Evaluate Links between Gut Microbiota and Body Weights of Chicken Fed or Not Fed Insect Larvae.

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Journal:  Biology (Basel)       Date:  2022-02-23
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