Evidence map›Paper›PMID 42061238›Full record

ArticlePoultry science2026

Longitudinal analysis of broiler cecal microbiome: unraveling the species level dynamics across age and sex.

Farazi Abinash Rahman, Erasmo Alexander Flores Granados, Yagya Adhikari, Muhammad Naeem, Samuel Rochell, Dianna Bourassa, Sabin Poudel

Abstract read
In one paragraph

Article in Poultry science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Farazi Abinash RahmanDepartment of Poultry Science, Auburn University, Auburn, AL 36849, United States.
Erasmo Alexander Flores GranadosDepartment of Poultry Science, Auburn University, Auburn, AL 36849, United States.
Yagya AdhikariDepartment of Poultry Science, Auburn University, Auburn, AL 36849, United States.
Muhammad NaeemDepartment of Poultry Science, Auburn University, Auburn, AL 36849, United States.
Samuel RochellDepartment of Poultry Science, Auburn University, Auburn, AL 36849, United States.
Dianna BourassaDepartment of Poultry Science, Auburn University, Auburn, AL 36849, United States.
Sabin PoudelDepartment of Poultry Science, Auburn University, Auburn, AL 36849, United States. Electronic address: SZP0208@auburn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the longitudinal dynamics of the cecal microbiome in male and female broiler chickens from hatch (d 0) to market age (d 42) using full-length 16S rRNA gene sequencing via Oxford Nanopore Technology. Microbial composition, diversity, and differential abundance were assessed across four time points (d 0, 14, 28, and 42). Alpha diversity analyses showed no significant differences between male and female within the same age group. The longitudinal comparisons revealed significantly lower diversity on d 0 compared to later timepoints in both male and female. Beta diversity analyses using Bray-Curtis and Jaccard metrics demonstrated distinct microbial community clustering at d 0 and a major compositional shift by d 14. PERMANOVA confirmed age as a significant factor influencing microbial composition. However, both sex and age influenced the dominant bacterial species. On d 0, Enterococcus faecalis was the most abundant in both males (58.57%) and females (61.35%). Whereas on d 42, Romboutsia ilealis (14.12%) became the predominant species in female and Negativibacillus massiliensis (9.7%) in males. In addition to the variation in the dominant species, differential abundance analysis revealed that bacterial species such as Clostridium celatum, C. disporicum, C. jeddahitimonense, and C. saudiense, had significantly higher abundance at d 0 compared to later time points in both males and females. Whereas bacterial species such as Bittarella massiliensis, Turicibacter bilis,and Turicibacter sanguinis had significantly higher abundance at d 28 and 42. Furthermore, core microbiome analysis showed microbial richness plateaued at approximately 330-350 species from d 14 onward. Our results indicate that early microbial communities are more sex-specific and they gradually converge over time probably due to extrinsic environmental factors.

Indexed as

BacteriaCecumChickensGastrointestinal MicrobiomeAge FactorsAnimalsFemaleLongitudinal StudiesMaleRNA, BacterialRNA, Ribosomal, 16SSex FactorsRNA, BacterialRNA, Ribosomal, 16S16S rRNA sequencingBroilerCecal microbiomeSex and ageSpecies level identification

Identifiers

PMID42061238
PMCPMC13141702

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.