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

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 (A...

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Autores principales: Höglund, Johanna K., Guldbrandtsen, Bernt, Lund, Mogens S., Sahana, Goutam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4453229/
https://www.ncbi.nlm.nih.gov/pubmed/26036962
http://dx.doi.org/10.1186/s12863-015-0210-3
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author Höglund, Johanna K.
Guldbrandtsen, Bernt
Lund, Mogens S.
Sahana, Goutam
author_facet Höglund, Johanna K.
Guldbrandtsen, Bernt
Lund, Mogens S.
Sahana, Goutam
author_sort Höglund, Johanna K.
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12863-015-0210-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-44532292015-06-04 Identification of genomic regions associated with female fertility in Danish Jersey using whole genome sequence data Höglund, Johanna K. Guldbrandtsen, Bernt Lund, Mogens S. Sahana, Goutam BMC Genet Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12863-015-0210-3) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-03 /pmc/articles/PMC4453229/ /pubmed/26036962 http://dx.doi.org/10.1186/s12863-015-0210-3 Text en © Höglund et al. 2015
spellingShingle Research Article
Höglund, Johanna K.
Guldbrandtsen, Bernt
Lund, Mogens S.
Sahana, Goutam
Identification of genomic regions associated with female fertility in Danish Jersey using whole genome sequence data
title Identification of genomic regions associated with female fertility in Danish Jersey using whole genome sequence data
title_full Identification of genomic regions associated with female fertility in Danish Jersey using whole genome sequence data
title_fullStr Identification of genomic regions associated with female fertility in Danish Jersey using whole genome sequence data
title_full_unstemmed Identification of genomic regions associated with female fertility in Danish Jersey using whole genome sequence data
title_short Identification of genomic regions associated with female fertility in Danish Jersey using whole genome sequence data
title_sort identification of genomic regions associated with female fertility in danish jersey using whole genome sequence data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4453229/
https://www.ncbi.nlm.nih.gov/pubmed/26036962
http://dx.doi.org/10.1186/s12863-015-0210-3
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