Cis-eQTL analysis reveals genes involved in biological processes of the immune system in Nelore cattle
•Cis-eQTLs are predominantly found in intronic and intergenic regions.•eQTLs were linked to genes involved in susceptibility and resistance to infections.•eGenes play a critical role in negatively regulating the NF-κB pathway. The combination of transcriptional profiling and genotype data analyses e...
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Veröffentlicht in: | Gene 2025-02, Vol.937, p.149138, Article 149138 |
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creator | Ferreira Dos Santos, Thaís Cristina Silva, Evandro Neves Frezarim, Gabriela Bonfá Salatta, Bruna Maria Baldi, Fernando Simielli Fonseca, Larissa Fernanda De Albuquerque, Lucia Galvão Magalhães Muniz, Maria Malane Dos Santos Silva, Danielly Beraldo |
description | •Cis-eQTLs are predominantly found in intronic and intergenic regions.•eQTLs were linked to genes involved in susceptibility and resistance to infections.•eGenes play a critical role in negatively regulating the NF-κB pathway.
The combination of transcriptional profiling and genotype data analyses enables the identification of genetic variants that may affect gene expression (eQTL – expression quantitative trait loci). This study aimed to identify cis-eQTL in Nellore cattle muscle tissue and determine their biological processes related to the immune system and involved eGenes. Genotypic data (SNP-Chip) and gene expression data (RNA-Seq) from a commercial population of 80 Nellore animals were evaluated. For the cis-eQTL identification, association tests were conducted for all variants near the gene (cis variants), followed by permutation tests to correct for multiple comparisons. Our analyses revealed 828 top cis-eQTL related to 1,062 genes of which most of these variants were in intronic and intergenic regions. The eQTLs rs109525554, rs109589165, rs110192253, rs133127698, rs137742430, rs41803313, rs43366333, and rs43711242 were associated with susceptibility and resistance to infections in cattle. Additionally, interferon family eGenes, such as IFNT3, IFN-TAU, IFNK, FYN, and IFNW1, and endothelial leukocyte migration, such as PRKCG and CXCL10 were found. These eGene families were linked to biological processes of innate and adaptive immune responses and associated with somatic cell scores in cattle, respectively. Our results may have implications for selecting desirable resistance traits in animals bred for production and highlight the importance of studying genetic variants involved in quantitative traits to improve our understanding of genetic mechanisms underlying gene expression regulation of adaptive traits in cattle. |
doi_str_mv | 10.1016/j.gene.2024.149138 |
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The combination of transcriptional profiling and genotype data analyses enables the identification of genetic variants that may affect gene expression (eQTL – expression quantitative trait loci). This study aimed to identify cis-eQTL in Nellore cattle muscle tissue and determine their biological processes related to the immune system and involved eGenes. Genotypic data (SNP-Chip) and gene expression data (RNA-Seq) from a commercial population of 80 Nellore animals were evaluated. For the cis-eQTL identification, association tests were conducted for all variants near the gene (cis variants), followed by permutation tests to correct for multiple comparisons. Our analyses revealed 828 top cis-eQTL related to 1,062 genes of which most of these variants were in intronic and intergenic regions. The eQTLs rs109525554, rs109589165, rs110192253, rs133127698, rs137742430, rs41803313, rs43366333, and rs43711242 were associated with susceptibility and resistance to infections in cattle. Additionally, interferon family eGenes, such as IFNT3, IFN-TAU, IFNK, FYN, and IFNW1, and endothelial leukocyte migration, such as PRKCG and CXCL10 were found. These eGene families were linked to biological processes of innate and adaptive immune responses and associated with somatic cell scores in cattle, respectively. Our results may have implications for selecting desirable resistance traits in animals bred for production and highlight the importance of studying genetic variants involved in quantitative traits to improve our understanding of genetic mechanisms underlying gene expression regulation of adaptive traits in cattle.</description><identifier>ISSN: 0378-1119</identifier><identifier>ISSN: 1879-0038</identifier><identifier>EISSN: 1879-0038</identifier><identifier>DOI: 10.1016/j.gene.2024.149138</identifier><identifier>PMID: 39638014</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Animals ; Bioinformatics ; cattle ; Cattle - genetics ; Cattle - immunology ; cell movement ; eGenes ; family ; gene expression ; Gene Expression Profiling - methods ; gene expression regulation ; genes ; Genotype ; immune system ; Immune System - metabolism ; Immunogenomics ; interferons ; muscle tissues ; Nellore ; Polymorphism, Single Nucleotide ; Quantitative Trait Loci ; quantitative traits ; RNA-seq ; sequence analysis ; somatic cells ; transcription (genetics)</subject><ispartof>Gene, 2025-02, Vol.937, p.149138, Article 149138</ispartof><rights>2024 Elsevier B.V.</rights><rights>Copyright © 2024 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-a49fae466b48e8a7b2aaf738935c58ec9b56e7bbc5ee0af3f2c981532da3ac3d3</cites><orcidid>0000-0001-9310-7381 ; 0000-0002-4145-1401 ; 0000-0002-4453-8094</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.gene.2024.149138$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,778,782,3539,27907,27908,45978</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39638014$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ferreira Dos Santos, Thaís Cristina</creatorcontrib><creatorcontrib>Silva, Evandro Neves</creatorcontrib><creatorcontrib>Frezarim, Gabriela Bonfá</creatorcontrib><creatorcontrib>Salatta, Bruna Maria</creatorcontrib><creatorcontrib>Baldi, Fernando</creatorcontrib><creatorcontrib>Simielli Fonseca, Larissa Fernanda</creatorcontrib><creatorcontrib>De Albuquerque, Lucia Galvão</creatorcontrib><creatorcontrib>Magalhães Muniz, Maria Malane</creatorcontrib><creatorcontrib>Dos Santos Silva, Danielly Beraldo</creatorcontrib><title>Cis-eQTL analysis reveals genes involved in biological processes of the immune system in Nelore cattle</title><title>Gene</title><addtitle>Gene</addtitle><description>•Cis-eQTLs are predominantly found in intronic and intergenic regions.•eQTLs were linked to genes involved in susceptibility and resistance to infections.•eGenes play a critical role in negatively regulating the NF-κB pathway.
The combination of transcriptional profiling and genotype data analyses enables the identification of genetic variants that may affect gene expression (eQTL – expression quantitative trait loci). This study aimed to identify cis-eQTL in Nellore cattle muscle tissue and determine their biological processes related to the immune system and involved eGenes. Genotypic data (SNP-Chip) and gene expression data (RNA-Seq) from a commercial population of 80 Nellore animals were evaluated. For the cis-eQTL identification, association tests were conducted for all variants near the gene (cis variants), followed by permutation tests to correct for multiple comparisons. Our analyses revealed 828 top cis-eQTL related to 1,062 genes of which most of these variants were in intronic and intergenic regions. The eQTLs rs109525554, rs109589165, rs110192253, rs133127698, rs137742430, rs41803313, rs43366333, and rs43711242 were associated with susceptibility and resistance to infections in cattle. Additionally, interferon family eGenes, such as IFNT3, IFN-TAU, IFNK, FYN, and IFNW1, and endothelial leukocyte migration, such as PRKCG and CXCL10 were found. These eGene families were linked to biological processes of innate and adaptive immune responses and associated with somatic cell scores in cattle, respectively. Our results may have implications for selecting desirable resistance traits in animals bred for production and highlight the importance of studying genetic variants involved in quantitative traits to improve our understanding of genetic mechanisms underlying gene expression regulation of adaptive traits in cattle.</description><subject>Animals</subject><subject>Bioinformatics</subject><subject>cattle</subject><subject>Cattle - genetics</subject><subject>Cattle - immunology</subject><subject>cell movement</subject><subject>eGenes</subject><subject>family</subject><subject>gene expression</subject><subject>Gene Expression Profiling - methods</subject><subject>gene expression regulation</subject><subject>genes</subject><subject>Genotype</subject><subject>immune system</subject><subject>Immune System - metabolism</subject><subject>Immunogenomics</subject><subject>interferons</subject><subject>muscle tissues</subject><subject>Nellore</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Quantitative Trait Loci</subject><subject>quantitative traits</subject><subject>RNA-seq</subject><subject>sequence analysis</subject><subject>somatic cells</subject><subject>transcription (genetics)</subject><issn>0378-1119</issn><issn>1879-0038</issn><issn>1879-0038</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1r3DAQhkVJabbb_oEcio65eKtPW4ZewpK0haWlkJ6FLI8TLbKVarwL--8js2mPobqMDs88DO9LyBVnG854_Xm_eYAJNoIJteGq5dK8IStumrZiTJoLsmKyMRXnvL0k7xH3rDytxTtyKdtaGsbVigzbgBX8ut9RN7l4woA0wxFcRLrIkYbpmOIR-vKhXUgxPQTvIn3KyQNiAdJA50egYRwPE1A84QzjAv-AmDJQ7-Y5wgfydihO-Pgy1-T33e399lu1-_n1-_ZmV3nRsLlyqh0cqLrulAHjmk44NzTStFJ7bcC3na6h6TqvAZgb5CB8a7iWonfSednLNbk-e8t9fw6Asx0DeojRTZAOaCXXSigpmPkPVNXFrIt-TcQZ9TkhZhjsUw6jyyfLmV2qsHu7pGWXKuy5irL06cV_6Ebo_638zb4AX84AlECOAbJFH2Dy0IcMfrZ9Cq_5nwEX2ps6</recordid><startdate>20250210</startdate><enddate>20250210</enddate><creator>Ferreira Dos Santos, Thaís Cristina</creator><creator>Silva, Evandro Neves</creator><creator>Frezarim, Gabriela Bonfá</creator><creator>Salatta, Bruna Maria</creator><creator>Baldi, Fernando</creator><creator>Simielli Fonseca, Larissa Fernanda</creator><creator>De Albuquerque, Lucia Galvão</creator><creator>Magalhães Muniz, Maria Malane</creator><creator>Dos Santos Silva, Danielly Beraldo</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0001-9310-7381</orcidid><orcidid>https://orcid.org/0000-0002-4145-1401</orcidid><orcidid>https://orcid.org/0000-0002-4453-8094</orcidid></search><sort><creationdate>20250210</creationdate><title>Cis-eQTL analysis reveals genes involved in biological processes of the immune system in Nelore cattle</title><author>Ferreira Dos Santos, Thaís Cristina ; Silva, Evandro Neves ; Frezarim, Gabriela Bonfá ; Salatta, Bruna Maria ; Baldi, Fernando ; Simielli Fonseca, Larissa Fernanda ; De Albuquerque, Lucia Galvão ; Magalhães Muniz, Maria Malane ; Dos Santos Silva, Danielly Beraldo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-a49fae466b48e8a7b2aaf738935c58ec9b56e7bbc5ee0af3f2c981532da3ac3d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Animals</topic><topic>Bioinformatics</topic><topic>cattle</topic><topic>Cattle - genetics</topic><topic>Cattle - immunology</topic><topic>cell movement</topic><topic>eGenes</topic><topic>family</topic><topic>gene expression</topic><topic>Gene Expression Profiling - methods</topic><topic>gene expression regulation</topic><topic>genes</topic><topic>Genotype</topic><topic>immune system</topic><topic>Immune System - metabolism</topic><topic>Immunogenomics</topic><topic>interferons</topic><topic>muscle tissues</topic><topic>Nellore</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Quantitative Trait Loci</topic><topic>quantitative traits</topic><topic>RNA-seq</topic><topic>sequence analysis</topic><topic>somatic cells</topic><topic>transcription (genetics)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ferreira Dos Santos, Thaís Cristina</creatorcontrib><creatorcontrib>Silva, Evandro Neves</creatorcontrib><creatorcontrib>Frezarim, Gabriela Bonfá</creatorcontrib><creatorcontrib>Salatta, Bruna Maria</creatorcontrib><creatorcontrib>Baldi, Fernando</creatorcontrib><creatorcontrib>Simielli Fonseca, Larissa Fernanda</creatorcontrib><creatorcontrib>De Albuquerque, Lucia Galvão</creatorcontrib><creatorcontrib>Magalhães Muniz, Maria Malane</creatorcontrib><creatorcontrib>Dos Santos Silva, Danielly Beraldo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Gene</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ferreira Dos Santos, Thaís Cristina</au><au>Silva, Evandro Neves</au><au>Frezarim, Gabriela Bonfá</au><au>Salatta, Bruna Maria</au><au>Baldi, Fernando</au><au>Simielli Fonseca, Larissa Fernanda</au><au>De Albuquerque, Lucia Galvão</au><au>Magalhães Muniz, Maria Malane</au><au>Dos Santos Silva, Danielly Beraldo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cis-eQTL analysis reveals genes involved in biological processes of the immune system in Nelore cattle</atitle><jtitle>Gene</jtitle><addtitle>Gene</addtitle><date>2025-02-10</date><risdate>2025</risdate><volume>937</volume><spage>149138</spage><pages>149138-</pages><artnum>149138</artnum><issn>0378-1119</issn><issn>1879-0038</issn><eissn>1879-0038</eissn><abstract>•Cis-eQTLs are predominantly found in intronic and intergenic regions.•eQTLs were linked to genes involved in susceptibility and resistance to infections.•eGenes play a critical role in negatively regulating the NF-κB pathway.
The combination of transcriptional profiling and genotype data analyses enables the identification of genetic variants that may affect gene expression (eQTL – expression quantitative trait loci). This study aimed to identify cis-eQTL in Nellore cattle muscle tissue and determine their biological processes related to the immune system and involved eGenes. Genotypic data (SNP-Chip) and gene expression data (RNA-Seq) from a commercial population of 80 Nellore animals were evaluated. For the cis-eQTL identification, association tests were conducted for all variants near the gene (cis variants), followed by permutation tests to correct for multiple comparisons. Our analyses revealed 828 top cis-eQTL related to 1,062 genes of which most of these variants were in intronic and intergenic regions. The eQTLs rs109525554, rs109589165, rs110192253, rs133127698, rs137742430, rs41803313, rs43366333, and rs43711242 were associated with susceptibility and resistance to infections in cattle. Additionally, interferon family eGenes, such as IFNT3, IFN-TAU, IFNK, FYN, and IFNW1, and endothelial leukocyte migration, such as PRKCG and CXCL10 were found. These eGene families were linked to biological processes of innate and adaptive immune responses and associated with somatic cell scores in cattle, respectively. Our results may have implications for selecting desirable resistance traits in animals bred for production and highlight the importance of studying genetic variants involved in quantitative traits to improve our understanding of genetic mechanisms underlying gene expression regulation of adaptive traits in cattle.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>39638014</pmid><doi>10.1016/j.gene.2024.149138</doi><orcidid>https://orcid.org/0000-0001-9310-7381</orcidid><orcidid>https://orcid.org/0000-0002-4145-1401</orcidid><orcidid>https://orcid.org/0000-0002-4453-8094</orcidid></addata></record> |
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subjects | Animals Bioinformatics cattle Cattle - genetics Cattle - immunology cell movement eGenes family gene expression Gene Expression Profiling - methods gene expression regulation genes Genotype immune system Immune System - metabolism Immunogenomics interferons muscle tissues Nellore Polymorphism, Single Nucleotide Quantitative Trait Loci quantitative traits RNA-seq sequence analysis somatic cells transcription (genetics) |
title | Cis-eQTL analysis reveals genes involved in biological processes of the immune system in Nelore cattle |
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