A Pilot Detection and Associate Study of Gene Presence-Absence Variation in Holstein Cattle.
Clarissa BoschieroMahesh NeupaneLiu YangSteven G SchroederWenbin TuoLi MaRansom L BaldwinCurtis P Van TassellGeorge E LiuPublished in: Animals : an open access journal from MDPI (2024)
Presence-absence variations (PAVs) are important structural variations, wherein a genomic segment containing one or more genes is present in some individuals but absent in others. While PAVs have been extensively studied in plants, research in cattle remains limited. This study identified PAVs in 173 Holstein bulls using whole-genome sequencing data and assessed their associations with 46 economically important traits. Out of 28,772 cattle genes (from the longest transcripts), a total of 26,979 (93.77%) core genes were identified (present in all individuals), while variable genes included 928 softcore (present in 95-99% of individuals), 494 shell (present in 5-94%), and 371 cloud genes (present in <5%). Cloud genes were enriched in functions associated with hormonal and antimicrobial activities, while shell genes were enriched in immune functions. PAV-based genome-wide association studies identified associations between gene PAVs and 16 traits including milk, fat, and protein yields, as well as traits related to health and reproduction. Associations were found on multiple chromosomes, illustrating important associations on cattle chromosomes 7 and 15, involving olfactory receptor and immune-related genes, respectively. By examining the PAVs at the population level, the results of this research provided crucial insights into the genetic structures underlying the complex traits of Holstein cattle.
Keyphrases
- genome wide
- genome wide identification
- dna methylation
- copy number
- bioinformatics analysis
- genome wide analysis
- healthcare
- public health
- risk assessment
- staphylococcus aureus
- high resolution
- heat stress
- randomized controlled trial
- multidrug resistant
- electronic health record
- machine learning
- big data
- human health
- fatty acid
- study protocol
- sensitive detection
- real time pcr
- data analysis