4.7 Article

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

Journal

BMC GENOMICS
Volume 23, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12864-022-08430-x

Keywords

Dairy cattle; Large gap read mapping; Mastitis; Milk somatic cell; RNA; Sequencing; Alternative splicing; QTL

Funding

  1. Ontario Agri - Food Innovation Alliance [Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA), Guelph, Ontario, Canada]
  2. Natural Sciences and Engineering Research Council of Canada (Ottawa, Ontario, Canada)
  3. Canada First Research Excellence Fund - OMAFRA -HQP program by the Ontario Agri -Food Innovation Alliance [Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA), Guelph, Ontario, Canada]

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This study used transcriptomics to study the functional aspect of mastitis resistance and found differential expression of mRNA isoforms generated via alternative splicing in mastitic and healthy samples. The study also identified the potential involvement of these mRNA isoforms in the immune system and mastitis.
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.

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