Evidence map›Paper›PMID 31803225›Full record

ArticleFrontiers in genetics2019

Analysis of the Progeny of Sibling Matings Reveals Regulatory Variation Impacting the Transcriptome of Immune Cells in Commercial Chickens.

Lucy Freem, Kim M Summers, Almas A Gheyas, Androniki Psifidi, Kay Boulton, Amanda MacCallum, Rakhi Harne, Jenny O'Dell, Stephen J Bush, David A Hume

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Advances on genetic and genomic studies of ALV resistance.Journal of animal science and biotechnology · 2022
    Review
  4. Article
  5. Article
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  7. Article
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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

10 authors at 6 institutions in 2 countries.

Lucy FreemThe Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom.
Kim M SummersMater Research Institute-University of Queensland, Translational Research Institute, Woolloongabba, QLD, Australia.
Almas A GheyasThe Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom.
Androniki PsifidiDepartment of Clinical Sciences and Services, Royal Veterinary College, University of London, London, United Kingdom.
Kay BoultonThe Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom.
Amanda MacCallumThe Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom.
Rakhi HarneThe Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom.
Jenny O'DellThe Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom.
Stephen J BushNuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom.
David A HumeMater Research Institute-University of Queensland, Translational Research Institute, Woolloongabba, QLD, Australia.
University of Edinburgh · GBRoslin Institute · GBRoyal Veterinary College · GBTranslational Research Institute · AUUniversity of Oxford · GBUniversity of Queensland · AU

Funding

Biotechnology and Biological Sciences Research Council BB/M011925/1Biotechnology and Biological Sciences Research Council BBS/E/D/20211550Biotechnology and Biological Sciences Research Council BBS/E/D/20211552Medical Research Council MR/K001744/1
6 · The paper itself

Abstract

There is increasing recognition that the underlying genetic variation contributing to complex traits influences transcriptional regulation and can be detected at a population level as expression quantitative trait loci. At the level of an individual, allelic variation in transcriptional regulation of individual genes can be detected by measuring allele-specific expression in RNAseq data. We reasoned that extreme variants in gene expression could be identified by analysis of inbred progeny with shared grandparents. Commercial chickens have been intensively selected for production traits. Selection is associated with large blocks of linkage disequilibrium with considerable potential for co-selection of closely linked "hitch-hiker alleles" affecting traits unrelated to the feature being selected, such as immune function, with potential impact on the productivity and welfare of the animals. To test this hypothesis that there is extreme allelic variation in immune-associated genes we sequenced a founder population of commercial broiler and layer birds. These birds clearly segregated genetically based upon breed type. Each genome contained numerous candidate null mutations, protein-coding variants predicted to be deleterious and extensive non-coding polymorphism. We mated selected broiler-layer pairs then generated cohorts of F2 birds by sibling mating of the F1 generation. Despite the predicted prevalence of deleterious coding variation in the genomic sequence of the founders, clear detrimental impacts of inbreeding on survival and post-hatch development were detected in only one F2 sibship of 15. There was no effect on circulating leukocyte populations in hatchlings. In selected F2 sibships we performed RNAseq analysis of the spleen and isolated bone marrow-derived macrophages (with and without lipopolysaccharide stimulation). The results confirm the predicted emergence of very large differences in expression of individual genes and sets of genes. Network analysis of the results identified clusters of co-expressed genes that vary between individuals and suggested the existence of trans-acting variation in the expression in macrophages of the interferon response factor family that distinguishes the parental broiler and layer birds and influences the global response to lipopolysaccharide. This study shows that the impact of inbreeding on immune cell gene expression can be substantial at the transcriptional level, and potentially opens a route to accelerate selection using specific alleles known to be associated with desirable expression levels.

Indexed as

allele-specificchickengenomeinbreedingmacrophagetranscriptome

Identifiers

PMID31803225
PMCPMC6870463
OpenAlexW2986182009

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.