Genomic regions and biological pathways associated with sex-limited reproductive traits in bovine species

被引:0
作者
Olasege, Babatunde S. [1 ,2 ]
Oh, Zhen Yin [1 ]
Tahir, Muhammad S. [1 ,2 ]
Porto-Neto, Laercio R. [2 ]
Hayes, Ben J. [3 ]
Fortes, Marina R. S. [1 ,3 ]
机构
[1] Univ Queensland, Sch Chem & Mol Biosci, St Lucia Campus, Brisbane, Qld 4072, Australia
[2] CSIRO Agr & Food, Ag & Food, St Lucia, Qld 4067, Australia
[3] Univ Queensland, Queensland Alliance Agr & Food Innovat QAAFI, St Lucia Campus, Brisbane, Qld 4072, Australia
关键词
genomics; local correlation analyses; reproduction; sex-limited traits; X-chromosome; GENETIC CORRELATION; WIDE ASSOCIATION; SELECTION; EVOLUTION; CONFLICT; FITNESS; DIMORPHISM; PREDICTIONS; POPULATION;
D O I
10.1093/jas/skae085
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Many animal species exhibit sex-limited traits, where certain phenotypes are exclusively expressed in one sex. Yet, the genomic regions that contribute to these sex-limited traits in males and females remain a subject of debate. Reproductive traits are ideal phenotypes to study sexual differences since they are mostly expressed in a sex-limited way. Therefore, this study aims to use local correlation analyses to identify genomic regions and biological pathways significantly associated with male and female sex-limited traits in two distinct cattle breeds (Brahman [BB] and Tropical Composite [TC]). We used the Correlation Scan method to perform local correlation analysis on 42 trait pairs consisting of six female and seven male reproductive traits recorded on similar to 1,000 animals for each sex in each breed. To pinpoint a specific region associated with these sex-limited reproductive traits, we investigated the genomic region(s) consistently identified as significant across the 42 trait pairs in each breed. The genes found in the identified regions were subjected to Quantitative Trait Loci (QTL) colocalization, QTL enrichment analyses, and functional analyses to gain biological insight into sexual differences. We found that the genomic regions associated with the sex-limited reproductive phenotypes are widely distributed across all the chromosomes. However, no single region across the genome was associated with all the 42 reproductive trait pairs in the two breeds. Nevertheless, we found a region on the X-chromosome to be most significant for 80% to 90% (BB: 33 and TC: 38) of the total 42 trait pairs. A considerable number of the genes in this region were regulatory genes. By considering only genomic regions that were significant for at least 50% of the 42 trait pairs, we observed more regions spread across the autosomes and the X-chromosome. All genomic regions identified were highly enriched for trait-specific QTL linked to sex-limited traits (percentage of normal sperm, metabolic weight, average daily gain, carcass weight, age at puberty, etc.). The gene list created from these identified regions was enriched for biological pathways that contribute to the observed differences between sexes. Our results demonstrate that genomic regions associated with male and female sex-limited reproductive traits are distributed across the genome. Yet, chromosome X seems to exert a relatively larger effect on the phenotypic variation observed between the sexes.
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页数:10
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共 82 条
  • [11] Female Chemical Signalling Underlying Reproduction in Mammals
    Coombes, Holly A.
    Stockley, Paula
    Hurst, Jane L.
    [J]. JOURNAL OF CHEMICAL ECOLOGY, 2018, 44 (09) : 851 - 873
  • [12] Sexually dimorphic genetic architecture of complex traits in a large-scale F2 cross in pigs
    Cui, Leilei
    Zhang, Junjie
    Ma, Junwu
    Guo, Yuanmei
    Li, Lin
    Xiao, Shijun
    Ren, Jun
    Yang, Bin
    Huang, Lusheng
    [J]. GENETICS SELECTION EVOLUTION, 2014, 46
  • [13] Darwin C., 1871, P475
  • [14] Next-generation genotype imputation service and methods
    Das, Sayantan
    Forer, Lukas
    Schoenherr, Sebastian
    Sidore, Carlo
    Locke, Adam E.
    Kwong, Alan
    Vrieze, Scott I.
    Chew, Emily Y.
    Levy, Shawn
    McGue, Matt
    Schlessinger, David
    Stambolian, Dwight
    Loh, Po-Ru
    Iacono, William G.
    Swaroop, Anand
    Scott, Laura J.
    Cucca, Francesco
    Kronenberg, Florian
    Boehnke, Michael
    Abecasis, Goncalo R.
    Fuchsberger, Christian
    [J]. NATURE GENETICS, 2016, 48 (10) : 1284 - 1287
  • [15] DAVID: Database for annotation, visualization, and integrated discovery
    Dennis, G
    Sherman, BT
    Hosack, DA
    Yang, J
    Gao, W
    Lane, HC
    Lempicki, RA
    [J]. GENOME BIOLOGY, 2003, 4 (09)
  • [16] Wnt Signaling in Sexual Dimorphism
    Deshpande, Girish
    Nouri, Ali
    Schedl, Paul
    [J]. GENETICS, 2016, 202 (02) : 661 - +
  • [17] Identification of genomic regions that exhibit sexual dimorphism for size and muscularity in cattle
    Doyle, Jennifer L.
    Purfield, Deirdre C.
    Moore, Tom
    Carthy, Tara R.
    Walsh, Siobhan W.
    Veerkamp, Roel F.
    Evans, Ross D.
    Berry, Donagh P.
    [J]. JOURNAL OF ANIMAL SCIENCE, 2021, 99 (05)
  • [18] Sexual selection and the evolution of sperm quality
    Fitzpatrick, John L.
    Lupold, Stefan
    [J]. MOLECULAR HUMAN REPRODUCTION, 2014, 20 (12) : 1180 - 1189
  • [19] GALLO: An R package for genomic annotation and integration of multiple data sources in livestock for positional candidate loci
    Fonseca, Pablo A. S.
    Suarez-Vega, Aroa
    Marras, Gabriele
    Canovas, Angela
    [J]. GIGASCIENCE, 2020, 9 (12):
  • [20] Evidence for pleiotropism and recent selection in the PLAG1 region in Australian Beef cattle
    Fortes, M. R. S.
    Kemper, K.
    Sasazaki, S.
    Reverter, A.
    Pryce, J. E.
    Barendse, W.
    Bunch, R.
    McCulloch, R.
    Harrison, B.
    Bolormaa, S.
    Zhang, Y. D.
    Hawken, R. J.
    Goddard, M. E.
    Lehnert, S. A.
    [J]. ANIMAL GENETICS, 2013, 44 (06) : 636 - 647