Identification of genomic regions associated with female fertility in Danish Jersey using whole genome sequence data

被引:11
作者
Hoglund, Johanna K. [1 ]
Guldbrandtsen, Bernt [1 ]
Lund, Mogens S. [1 ]
Sahana, Goutam [1 ]
机构
[1] Aarhus Univ, Ctr Quantitat Genet & Genom, Dept Mol Biol & Genet, DK-8830 Tjele, Denmark
来源
BMC GENETICS | 2015年 / 16卷
关键词
Female fertility; Jersey cattle; Sequence analysis; Association study; QUANTITATIVE TRAIT LOCI; WIDE ASSOCIATION; DAIRY-CATTLE; HOLSTEIN; SINGLE; POPULATION; IMPUTATION; GENOTYPE; FORMAT; SCAN;
D O I
10.1186/s12863-015-0210-3
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: Female fertility is an important trait in cattle breeding programs. In the Nordic countries selection is based on a fertility index (FTI). The fertility index is a weighted combination of four female fertility traits estimated breeding values for number of inseminations per conception (AIS), 56-day non-return rate (NRR), number of days from first to last insemination (IFL), and number of days between calving and first insemination (ICF). The objective of this study was to identify associations between sequence variants and fertility traits in Jersey cattle based on 1,225 Jersey sires from Denmark with official breeding values for female fertility traits. The association analyses were carried out in two steps: first the cattle genome was scanned for quantitative trait loci using a sire model for FTI using imputed whole genome sequence variants; second the significant quantitative trait locus regions were re-analyzed using a linear mixed model (animal model) for both FTI and its component traits AIS, NRR, IFL and ICF. The underlying traits were analyzed separately for heifers (first parity cows) and cows (later parity cows) for AIS, NRR, and IFL. Results: In the first step 6 QTL were detected for FTI: one QTL on each of BTA7, BTA20, BTA23, BTA25, and two QTL on BTA9 (QTL(9-1) and QTL(9-2)). In the second step, ICF showed association with the QTL regions on BTA7, QTL(9-2) QTL2 on BTA9, and BTA25, AIS for cows on BTA20 and BTA23, AIS for heifers on QTL(9-2) on BTA9, IFL for cows on BTA20, BTA23 and BTA25, IFL for heifers on BTA7 and QTL(9-2) on BTA9, NRR for heifers on BTA7 and BTA23, and NRR for cows on BTA23. Conclusion: The genome wide association study presented here revealed 6 genomic regions associated with FTI. Screening these 6 QTL regions for the underlying female fertility traits revealed that different female fertility traits showed associations with different subsets of the individual FTI QTL peaks. The result of this study contributed to a better insight into the genetic control of FTI in the Danish Jersey.
引用
收藏
页数:9
相关论文
共 29 条
  • [1] Culling reasons in organic and conventional dairy herds and genotype by environment interaction for longevity
    Ahlman, T.
    Berglund, B.
    Rydhmer, L.
    Strandberg, E.
    [J]. JOURNAL OF DAIRY SCIENCE, 2011, 94 (03) : 1568 - 1575
  • [2] Detection of genes influencing economic traits in three French dairy cattle breeds
    Boichard, D
    Grohs, C
    Bourgeois, F
    Cerqueira, F
    Faugeras, R
    Neau, A
    Rupp, R
    Amigues, Y
    Boscher, MY
    Levéziel, H
    [J]. GENETICS SELECTION EVOLUTION, 2003, 35 (01) : 77 - 101
  • [3] Strategies for imputation to whole genome sequence using a single or multi-breed reference population in cattle
    Brondum, Rasmus Froberg
    Guldbrandtsen, Bernt
    Sahana, Goutam
    Lund, Mogens Sando
    Su, Guosheng
    [J]. BMC GENOMICS, 2014, 15
  • [4] A Unified Approach to Genotype Imputation and Haplotype-Phase Inference for Large Data Sets of Trios and Unrelated Individuals
    Browning, Brian L.
    Browning, Sharon R.
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 2009, 84 (02) : 210 - 223
  • [5] The variant call format and VCFtools
    Danecek, Petr
    Auton, Adam
    Abecasis, Goncalo
    Albers, Cornelis A.
    Banks, Eric
    DePristo, Mark A.
    Handsaker, Robert E.
    Lunter, Gerton
    Marth, Gabor T.
    Sherry, Stephen T.
    McVean, Gilean
    Durbin, Richard
    [J]. BIOINFORMATICS, 2011, 27 (15) : 2156 - 2158
  • [6] Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle
    Daetwyler, Hans D.
    Capitan, Aurelien
    Pausch, Hubert
    Stothard, Paul
    Van Binsbergen, Rianne
    Brondum, Rasmus F.
    Liao, Xiaoping
    Djari, Anis
    Rodriguez, Sabrina C.
    Grohs, Cecile
    Esquerre, Diane
    Bouchez, Olivier
    Rossignol, Marie-Noelle
    Klopp, Christophe
    Rocha, Dominique
    Fritz, Sebastien
    Eggen, Andre
    Bowman, Phil J.
    Coote, David
    Chamberlain, Amanda J.
    Anderson, Charlotte
    VanTassell, Curt P.
    Hulsegge, Ina
    Goddard, Mike E.
    Guldbrandtsen, Bernt
    Lund, Mogens S.
    Veerkamp, Roel F.
    Boichard, Didier A.
    Fries, Ruedi
    Hayes, Ben J.
    [J]. NATURE GENETICS, 2014, 46 (08) : 858 - 865
  • [7] The Sequence Ontology: a tool for the unification of genome annotations
    Eilbeck, K
    Lewis, SE
    Mungall, CJ
    Yandell, M
    Stein, L
    Durbin, R
    Ashburner, M
    [J]. GENOME BIOLOGY, 2005, 6 (05)
  • [8] Ensembl 2014
    Flicek, Paul
    Amode, M. Ridwan
    Barrell, Daniel
    Beal, Kathryn
    Billis, Konstantinos
    Brent, Simon
    Carvalho-Silva, Denise
    Clapham, Peter
    Coates, Guy
    Fitzgerald, Stephen
    Gil, Laurent
    Giron, Carlos Garcia
    Gordon, Leo
    Hourlier, Thibaut
    Hunt, Sarah
    Johnson, Nathan
    Juettemann, Thomas
    Kaehaeri, Andreas K.
    Keenan, Stephen
    Kulesha, Eugene
    Martin, Fergal J.
    Maurel, Thomas
    McLaren, William M.
    Murphy, Daniel N.
    Nag, Rishi
    Overduin, Bert
    Pignatelli, Miguel
    Pritchard, Bethan
    Pritchard, Emily
    Riat, Harpreet S.
    Ruffier, Magali
    Sheppard, Daniel
    Taylor, Kieron
    Thormann, Anja
    Trevanion, Stephen J.
    Vullo, Alessandro
    Wilder, Steven P.
    Wilson, Mark
    Zadissa, Amonida
    Aken, Bronwen L.
    Birney, Ewan
    Cunningham, Fiona
    Harrow, Jennifer
    Herrero, Javier
    Hubbard, Tim J. P.
    Kinsella, Rhoda
    Muffato, Matthieu
    Parker, Anne
    Spudich, Giulietta
    Yates, Andy
    [J]. NUCLEIC ACIDS RESEARCH, 2014, 42 (D1) : D749 - D755
  • [9] Genome scan detects quantitative trait loci affecting female fertility traits in Danish and Swedish Holstein cattle
    Hoglund, J. K.
    Guldbrandtsen, B.
    Su, G.
    Thomsen, B.
    Lund, M. S.
    [J]. JOURNAL OF DAIRY SCIENCE, 2009, 92 (05) : 2136 - 2143
  • [10] Validation of associations for female fertility traits in Nordic Holstein, Nordic Red and Jersey dairy cattle
    Hoglund, Johanna K.
    Sahana, Goutam
    Guldbrandtsen, Bernt
    Lund, Mogens S.
    [J]. BMC GENETICS, 2014, 15