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Identification of novel alternative splicing associated with mastitis disease in Holstein dairy cows using large gap read mapping

BACKGROUND: Mastitis is a very common disease in the dairy industry that producers encounter daily. Transcriptomics, using RNA-Sequencing (RNA - Seq) technology, can be used to study the functional aspect of mastitis resistance to identify animals that have a better immune response to mastitis. When...

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Autores principales: Asselstine, V., Medrano, J. F., Cánovas, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934477/
https://www.ncbi.nlm.nih.gov/pubmed/35305573
http://dx.doi.org/10.1186/s12864-022-08430-x
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author Asselstine, V.
Medrano, J. F.
Cánovas, A.
author_facet Asselstine, V.
Medrano, J. F.
Cánovas, A.
author_sort Asselstine, V.
collection PubMed
description BACKGROUND: Mastitis is a very common disease in the dairy industry that producers encounter daily. Transcriptomics, using RNA-Sequencing (RNA - Seq) technology, can be used to study the functional aspect of mastitis resistance to identify animals that have a better immune response to mastitis. When the cow has mastitis, not only genes but also specific mRNA isoforms generated via alternative splicing (AS) could be differentially expressed (DE), leading to the phenotypic variation observed. Therefore, the objective of this study was to use large gap read mapping to identify mRNA isoforms DE between healthy and mastitic milk somatic cell samples (N = 12). These mRNA isoforms were then categorized based on being 1) annotated mRNA isoforms for gene name and length, 2) annotated mRNA isoforms with different transcript length and 3) novel mRNA isoforms of non - annotated genes. RESULTS: Analysis identified 333 DE transcripts (with at least 2 mRNA isoforms annotated, with at least one being DE) between healthy and mastitic samples corresponding to 303 unique genes. Of these 333 DE transcripts between healthy and mastitic samples, 68 mRNA isoforms are annotated in the bovine genome reference (ARS.UCD.1.2), 249 mRNA isoforms had novel transcript lengths of known genes and 16 were novel transcript lengths of non - annotated genes in the bovine genome reference (ARS.UCD.1.2). Functional analysis including gene ontology, gene network and metabolic pathway analysis was performed on the list of 288 annotated and unique DE mRNA isoforms. In total, 67 significant metabolic pathways were identified including positive regulation of cytokine secretion and immune response. Additionally, numerous DE novel mRNA isoforms showed potential involvement with the immune system or mastitis. Lastly, QTL annotation analysis was performed on coding regions of the DE mRNA isoforms, identifying overlapping QTLs associated with clinical mastitis and somatic cell score. CONCLUSION: This study identified novel mRNA isoforms generated via AS that could lead to differences in the immune response of Holstein dairy cows and be potentially implemented in future breeding programs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08430-x.
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spelling pubmed-89344772022-03-23 Identification of novel alternative splicing associated with mastitis disease in Holstein dairy cows using large gap read mapping Asselstine, V. Medrano, J. F. Cánovas, A. BMC Genomics Research BACKGROUND: Mastitis is a very common disease in the dairy industry that producers encounter daily. Transcriptomics, using RNA-Sequencing (RNA - Seq) technology, can be used to study the functional aspect of mastitis resistance to identify animals that have a better immune response to mastitis. When the cow has mastitis, not only genes but also specific mRNA isoforms generated via alternative splicing (AS) could be differentially expressed (DE), leading to the phenotypic variation observed. Therefore, the objective of this study was to use large gap read mapping to identify mRNA isoforms DE between healthy and mastitic milk somatic cell samples (N = 12). These mRNA isoforms were then categorized based on being 1) annotated mRNA isoforms for gene name and length, 2) annotated mRNA isoforms with different transcript length and 3) novel mRNA isoforms of non - annotated genes. RESULTS: Analysis identified 333 DE transcripts (with at least 2 mRNA isoforms annotated, with at least one being DE) between healthy and mastitic samples corresponding to 303 unique genes. Of these 333 DE transcripts between healthy and mastitic samples, 68 mRNA isoforms are annotated in the bovine genome reference (ARS.UCD.1.2), 249 mRNA isoforms had novel transcript lengths of known genes and 16 were novel transcript lengths of non - annotated genes in the bovine genome reference (ARS.UCD.1.2). Functional analysis including gene ontology, gene network and metabolic pathway analysis was performed on the list of 288 annotated and unique DE mRNA isoforms. In total, 67 significant metabolic pathways were identified including positive regulation of cytokine secretion and immune response. Additionally, numerous DE novel mRNA isoforms showed potential involvement with the immune system or mastitis. Lastly, QTL annotation analysis was performed on coding regions of the DE mRNA isoforms, identifying overlapping QTLs associated with clinical mastitis and somatic cell score. CONCLUSION: This study identified novel mRNA isoforms generated via AS that could lead to differences in the immune response of Holstein dairy cows and be potentially implemented in future breeding programs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08430-x. BioMed Central 2022-03-19 /pmc/articles/PMC8934477/ /pubmed/35305573 http://dx.doi.org/10.1186/s12864-022-08430-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Asselstine, V.
Medrano, J. F.
Cánovas, A.
Identification of novel alternative splicing associated with mastitis disease in Holstein dairy cows using large gap read mapping
title Identification of novel alternative splicing associated with mastitis disease in Holstein dairy cows using large gap read mapping
title_full Identification of novel alternative splicing associated with mastitis disease in Holstein dairy cows using large gap read mapping
title_fullStr Identification of novel alternative splicing associated with mastitis disease in Holstein dairy cows using large gap read mapping
title_full_unstemmed Identification of novel alternative splicing associated with mastitis disease in Holstein dairy cows using large gap read mapping
title_short Identification of novel alternative splicing associated with mastitis disease in Holstein dairy cows using large gap read mapping
title_sort identification of novel alternative splicing associated with mastitis disease in holstein dairy cows using large gap read mapping
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934477/
https://www.ncbi.nlm.nih.gov/pubmed/35305573
http://dx.doi.org/10.1186/s12864-022-08430-x
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