Allele-specific expression reveals functional SNPs affecting muscle-related genes in bovine

Single nucleotide polymorphisms showing allele-specific expression (ASE SNPs) are useful for cis-regulatory variants discovery. Despite this potential, there are expensive costs involved in genome-level ASE analysis for large sample sizes. If different data resolutions are available, genotype imputa...

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Veröffentlicht in:Biochimica et biophysica acta. Gene regulatory mechanisms 2022-11, Vol.1865 (8), p.194886-194886, Article 194886
Hauptverfasser: Bruscadin, Jennifer Jessica, Cardoso, Tainã Figueiredo, da Silva Diniz, Wellison Jarles, Afonso, Juliana, de Souza, Marcela Maria, Petrini, Juliana, Nascimento Andrade, Bruno Gabriel, da Silva, Vinicius Henrique, Ferraz, José Bento Sterman, Zerlotini, Adhemar, Mourão, Gerson Barreto, Coutinho, Luiz Lehmann, de Almeida Regitano, Luciana Correia
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container_issue 8
container_start_page 194886
container_title Biochimica et biophysica acta. Gene regulatory mechanisms
container_volume 1865
creator Bruscadin, Jennifer Jessica
Cardoso, Tainã Figueiredo
da Silva Diniz, Wellison Jarles
Afonso, Juliana
de Souza, Marcela Maria
Petrini, Juliana
Nascimento Andrade, Bruno Gabriel
da Silva, Vinicius Henrique
Ferraz, José Bento Sterman
Zerlotini, Adhemar
Mourão, Gerson Barreto
Coutinho, Luiz Lehmann
de Almeida Regitano, Luciana Correia
description Single nucleotide polymorphisms showing allele-specific expression (ASE SNPs) are useful for cis-regulatory variants discovery. Despite this potential, there are expensive costs involved in genome-level ASE analysis for large sample sizes. If different data resolutions are available, genotype imputation can be used to mitigate this limitation. Aiming to increase the power to detect regulatory variants, we used a large dataset (>4 million) of imputed SNP genotypes and RNA-Seq data from 190 Nelore steers. Differences between major and minor allele expressions in muscle were tested with a Binomial Test. We identified 38,177 ASE SNPs (FDR ≤ 0.05) within 7304 linkage disequilibrium blocks. After that, we searched for aseQTLs (i.e., neighboring SNPs potentially regulating the ASE SNPs' allelic expression) by comparing the ASE of heterozygous to homozygous sample groups under a Wilcoxon Rank Sum test. We identified 21,543 aseQTLs potentially regulating 430 ASE SNPs (FDR ≤ 0.05). A total of 3333 cis-eQTLs (being 2098 ASE SNPs and 1075 aseQTLs) were associated with the expression of 758 transcripts (FDR ≤ 0.05), demonstrating the cis-regulatory effect of these ASE SNPs and aseQTLs. Data integration showed reproducibility with previous studies in bovine ASE and genomic imprinting. Furthermore, we identified 36,756 novel ASE regions due to the imputation approach. Comparisons with epigenetics data from Functional Annotation of Animal Genomes (FAANG) suggest a regulatory potential of the ASE-related SNPs. The affected genes were enriched in metabolic pathways essential for muscle homeostasis. These findings reinforce the potential of using ASE for discovering cis-regulatory SNPs that may affect muscle-related traits. •High-density allele-specific expression was determined from 190 bovine muscle samples by using RNA-seq and imputed genotypes.•38,177 ASE SNPs were found, consisting of the largest coverage of allelic and monoallelic expression in B. indicus muscle.•Putative functional variants controlling the transcription (cis-eQTLs) and the allelic imbalance (aseQTLs) were identified.•Linkage disequilibrium blocks with the identified variants probably regulate candidate genes for meat quality improvement.
doi_str_mv 10.1016/j.bbagrm.2022.194886
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Despite this potential, there are expensive costs involved in genome-level ASE analysis for large sample sizes. If different data resolutions are available, genotype imputation can be used to mitigate this limitation. Aiming to increase the power to detect regulatory variants, we used a large dataset (&gt;4 million) of imputed SNP genotypes and RNA-Seq data from 190 Nelore steers. Differences between major and minor allele expressions in muscle were tested with a Binomial Test. We identified 38,177 ASE SNPs (FDR ≤ 0.05) within 7304 linkage disequilibrium blocks. After that, we searched for aseQTLs (i.e., neighboring SNPs potentially regulating the ASE SNPs' allelic expression) by comparing the ASE of heterozygous to homozygous sample groups under a Wilcoxon Rank Sum test. We identified 21,543 aseQTLs potentially regulating 430 ASE SNPs (FDR ≤ 0.05). A total of 3333 cis-eQTLs (being 2098 ASE SNPs and 1075 aseQTLs) were associated with the expression of 758 transcripts (FDR ≤ 0.05), demonstrating the cis-regulatory effect of these ASE SNPs and aseQTLs. Data integration showed reproducibility with previous studies in bovine ASE and genomic imprinting. Furthermore, we identified 36,756 novel ASE regions due to the imputation approach. Comparisons with epigenetics data from Functional Annotation of Animal Genomes (FAANG) suggest a regulatory potential of the ASE-related SNPs. The affected genes were enriched in metabolic pathways essential for muscle homeostasis. 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Gene regulatory mechanisms</jtitle><addtitle>Biochim Biophys Acta Gene Regul Mech</addtitle><date>2022-11</date><risdate>2022</risdate><volume>1865</volume><issue>8</issue><spage>194886</spage><epage>194886</epage><pages>194886-194886</pages><artnum>194886</artnum><issn>1874-9399</issn><eissn>1876-4320</eissn><abstract>Single nucleotide polymorphisms showing allele-specific expression (ASE SNPs) are useful for cis-regulatory variants discovery. Despite this potential, there are expensive costs involved in genome-level ASE analysis for large sample sizes. If different data resolutions are available, genotype imputation can be used to mitigate this limitation. Aiming to increase the power to detect regulatory variants, we used a large dataset (&gt;4 million) of imputed SNP genotypes and RNA-Seq data from 190 Nelore steers. Differences between major and minor allele expressions in muscle were tested with a Binomial Test. We identified 38,177 ASE SNPs (FDR ≤ 0.05) within 7304 linkage disequilibrium blocks. After that, we searched for aseQTLs (i.e., neighboring SNPs potentially regulating the ASE SNPs' allelic expression) by comparing the ASE of heterozygous to homozygous sample groups under a Wilcoxon Rank Sum test. We identified 21,543 aseQTLs potentially regulating 430 ASE SNPs (FDR ≤ 0.05). A total of 3333 cis-eQTLs (being 2098 ASE SNPs and 1075 aseQTLs) were associated with the expression of 758 transcripts (FDR ≤ 0.05), demonstrating the cis-regulatory effect of these ASE SNPs and aseQTLs. Data integration showed reproducibility with previous studies in bovine ASE and genomic imprinting. Furthermore, we identified 36,756 novel ASE regions due to the imputation approach. Comparisons with epigenetics data from Functional Annotation of Animal Genomes (FAANG) suggest a regulatory potential of the ASE-related SNPs. The affected genes were enriched in metabolic pathways essential for muscle homeostasis. 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subjects Alleles
Animals
Cattle
Cattle - genetics
Cis-regulation
Data integration
Epigenetics
Genomics
Muscles
Polymorphism, Single Nucleotide
Quantitative Trait Loci
Reproducibility of Results
title Allele-specific expression reveals functional SNPs affecting muscle-related genes in bovine
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