Evidence map›Paper›PMID 29370772›Full record

ArticleBMC genomics2018

Genome-wide characterization of genetic variants and putative regions under selection in meat and egg-type chicken lines.

Clarissa Boschiero, Gabriel Costa Monteiro Moreira, Almas Ara Gheyas, Thaís Fernanda Godoy, Gustavo Gasparin, Pilar Drummond Sampaio Corrêa Mariani, Marcela Paduan, Aline Silva Mello Cesar, Mônica Corrêa Ledur, Luiz Lehmann Coutinho

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 56 citations in OpenAlex.

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  15. Fourth Report on Chicken Genes and Chromosomes 2022.Cytogenetic and genome research · 2022
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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 4 institutions in 4 countries.

Clarissa BoschieroAnimal Biotechnology Laboratory, Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, SP, 13418-900, Brazil. clarissaboschi@yahoo.com.ORCID 0000-0002-6575-5266
Gabriel Costa Monteiro MoreiraAnimal Biotechnology Laboratory, Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, SP, 13418-900, Brazil.
Almas Ara GheyasDepartment of Genetics and Genomics, The Roslin Institute and Royal School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK.
Thaís Fernanda GodoyAnimal Biotechnology Laboratory, Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, SP, 13418-900, Brazil.
Gustavo GasparinAnimal Biotechnology Laboratory, Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, SP, 13418-900, Brazil.
Pilar Drummond Sampaio Corrêa MarianiAnimal Biotechnology Laboratory, Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, SP, 13418-900, Brazil.
Marcela PaduanAnimal Biotechnology Laboratory, Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, SP, 13418-900, Brazil.
Aline Silva Mello CesarAnimal Biotechnology Laboratory, Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, SP, 13418-900, Brazil.
Mônica Corrêa LedurEmbrapa Suínos e Aves, Concórdia, SC, 89715-899, Brazil.
Luiz Lehmann CoutinhoAnimal Biotechnology Laboratory, Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, SP, 13418-900, Brazil.
Universidade de São Paulo · BRConcordia University Wisconsin · USRoslin Institute · GBYahoo (Spain) · ES

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/20211553Conselho Nacional de Desenvolvimento Científico e Tecnológico 370620/2013-5Fundação de Amparo à Pesquisa do Estado de São Paulo 14/21380-9Fundação de Amparo à Pesquisa do Estado de São Paulo 15/00616-7Fundação de Amparo à Pesquisa do Estado de São Paulo (BR) 2014/08704-0
6 · The paper itself

Abstract

backgroundMeat and egg-type chickens have been selected for several generations for different traits. Artificial and natural selection for different phenotypes can change frequency of genetic variants, leaving particular genomic footprints throghtout the genome. Thus, the aims of this study were to sequence 28 chickens from two Brazilian lines (meat and white egg-type) and use this information to characterize genome-wide genetic variations, identify putative regions under selection using Fst method, and find putative pathways under selection.

resultsA total of 13.93 million SNPs and 1.36 million INDELs were identified, with more variants detected from the broiler (meat-type) line. Although most were located in non-coding regions, we identified 7255 intolerant non-synonymous SNPs, 512 stopgain/loss SNPs, 1381 frameshift and 1094 non-frameshift INDELs that may alter protein functions. Genes harboring intolerant non-synonymous SNPs affected metabolic pathways related mainly to reproduction and endocrine systems in the white-egg layer line, and lipid metabolism and metabolic diseases in the broiler line. Fst analysis in sliding windows, using SNPs and INDELs separately, identified over 300 putative regions of selection overlapping with more than 250 genes. For the first time in chicken, INDEL variants were considered for selection signature analysis, showing high level of correlation in results between SNP and INDEL data. The putative regions of selection signatures revealed interesting candidate genes and pathways related to important phenotypic traits in chicken, such as lipid metabolism, growth, reproduction, and cardiac development.

conclusionsIn this study, Fst method was applied to identify high confidence putative regions under selection, providing novel insights into selection footprints that can help elucidate the functional mechanisms underlying different phenotypic traits relevant to meat and egg-type chicken lines. In addition, we generated a large catalog of line-specific and common genetic variants from a Brazilian broiler and a white egg layer line that can be used for genomic studies involving association analysis with phenotypes of economic interest to the poultry industry.

Indexed as

Polymorphism, Single NucleotideSelection, GeneticAnimalsAvian ProteinsBrazilChickensEggsGenomeGenomicsHigh-Throughput Nucleotide SequencingINDEL MutationMeatPhenotypeQuantitative Trait LociAvian ProteinsFat depositionFstGenetic variantsINDELNext generation sequencingPoultrySelection signaturesSNP

Identifiers

PMID29370772
PMCPMC5785814
OpenAlexW2786257697

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.