Evidence map›Paper›PMID 41853341›Full record

ArticleFrontiers in microbiomes2023

Chicken caecal enterotypes in indigenous Kadaknath and commercial Cobb chicken lines are associated with

Melanie C Hay, Ankit T Hinsu, Prakash G Koringa, Ramesh J Pandit, Po-Yu Liu, Mithil J Parekh, Subhash J Jakhesara, Xiaoxai Dai, Matteo Crotta, Bruno Fosso and 7 more

Abstract read
In one paragraph

Article in Frontiers in microbiomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

17 authors.

Melanie C HayDepartment of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield, United Kingdom.
Ankit T HinsuDepartment of Veterinary Biotechnology, College of Veterinary Science and Animal Husbandry, Kamdhenu University, Anand, Gujarat, India.
Prakash G KoringaDepartment of Veterinary Biotechnology, College of Veterinary Science and Animal Husbandry, Kamdhenu University, Anand, Gujarat, India.
Ramesh J PanditDepartment of Veterinary Biotechnology, College of Veterinary Science and Animal Husbandry, Kamdhenu University, Anand, Gujarat, India.
Po-Yu LiuDepartment of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield, United Kingdom.
Mithil J ParekhDepartment of Veterinary Biotechnology, College of Veterinary Science and Animal Husbandry, Kamdhenu University, Anand, Gujarat, India.
Subhash J JakhesaraDepartment of Veterinary Biotechnology, College of Veterinary Science and Animal Husbandry, Kamdhenu University, Anand, Gujarat, India.
Xiaoxai DaiClinical Sciences and Services, Royal Veterinary College, Hatfield, United Kingdom.
Matteo CrottaDepartment of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield, United Kingdom.
Bruno FossoDepartment of Biosciences, Biotechnologies and Environment, University of Bari "Aldo Moro", Bari, Italy.
Georgina LimonVeterinary Epidemiology, Economics and Public Health Group, World Organization for Animal Health (WOAH) Collaborating Centre for Risk Analysis and Modelling, The Royal Veterinary College, Hatfield, United Kingdom.
Javier GuitianVeterinary Epidemiology, Economics and Public Health Group, World Organization for Animal Health (WOAH) Collaborating Centre for Risk Analysis and Modelling, The Royal Veterinary College, Hatfield, United Kingdom.
Fiona M TomleyDepartment of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield, United Kingdom.
Dong XiaDepartment of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield, United Kingdom.
Androniki PsifidiClinical Sciences and Services, Royal Veterinary College, Hatfield, United Kingdom.
Chaitanya G JoshiDepartment of Veterinary Biotechnology, College of Veterinary Science and Animal Husbandry, Kamdhenu University, Anand, Gujarat, India.
Damer P BlakeDepartment of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying farming practices that decrease susceptibility to infectious diseases and optimise food conversion efficiency is valuable for chicken welfare and productivity, the environment, and public health. Enterotypes can be used to define microbial community phenotypes that have differential, potentially significant impacts on gut health. In this study, we delineated enterotypes by analysing the microbiomes of 300 indigenous Kadaknath and 300 commercial Cobb400 broiler chickens raised across 60 farms in western India. Using a compositional data approach, we identified three distinct enterotypes: PA1 (n=290), PA2 (n=142) and PA3 (n=67). PA1 and PA2 clustered more closely with each other than with PA3, however, PA2 had significantly lower alpha diversity than PA1. PA1 had a high Firmicutes: Bacteroides ratio, was dominated by

Indexed as

CampylobacterchickenenterotypesmicrobiomeRandom Forest

Identifiers

PMID41853341
PMCPMC12993513

What OpenQuestion holds

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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.