Genome-Wide Association Analysis of Boar Semen Traits Based on Computer-Assisted Semen Analysis and Flow Cytometry

Semen quality and persistence are critical for evaluating the usability of individual boars in AI, a standard practice in pig breeding. We conducted GWASs on various semen traits of Duroc boars, including MOT, DEN, ABN, MMP, AIR, and ROS levels. These traits were assessed using FCM and CASA. A total...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiyan Yang, Jingkun Nie, Yaxuan Zhang, Suqing Wang, Xiaoping Zhu, Zhili Li, Yunxiang Zhao, Xiuguo Shang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Animals
Subjects:
Online Access:https://www.mdpi.com/2076-2615/15/1/26
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841549512413282304
author Xiyan Yang
Jingkun Nie
Yaxuan Zhang
Suqing Wang
Xiaoping Zhu
Zhili Li
Yunxiang Zhao
Xiuguo Shang
author_facet Xiyan Yang
Jingkun Nie
Yaxuan Zhang
Suqing Wang
Xiaoping Zhu
Zhili Li
Yunxiang Zhao
Xiuguo Shang
author_sort Xiyan Yang
collection DOAJ
description Semen quality and persistence are critical for evaluating the usability of individual boars in AI, a standard practice in pig breeding. We conducted GWASs on various semen traits of Duroc boars, including MOT, DEN, ABN, MMP, AIR, and ROS levels. These traits were assessed using FCM and CASA. A total of 1183 Duroc boars were genotyped using the GeneSeek GGP Porcine 50 K SNP BeadChip. The GWAS was performed using three different models: GLM, MLM, and FarmCPU. Additionally, trait heritability was estimated using single- and multiple-trait PBLUP models, yielding 0.19, 0.29, 0.13, 0.18, 0.11, and 0.14 heritability for MOT, DEN, ABN, MMP, AIR, and ROS, respectively. All semen traits exhibited low heritability except ABN, which demonstrated medium heritability. Nine candidate genes (<i>GPX5</i>, <i>AWN</i>, <i>PSP-II</i>, <i>CCDC62</i>, <i>TMEM65</i>, <i>SLC8B1</i>, <i>TRPV4</i>, <i>UBE3B</i>, and <i>SIRT5</i>) were potentially associated with semen traits. These genes are associated with antioxidant and mitochondrial functions in porcine sperm. Our findings provide insight into the genetic architecture of semen traits in Duroc boars, and the identified SNPs and candidate genes may enhance economic outcomes in the pig breeding industry while improving sperm quality through targeted breeding strategies.
format Article
id doaj-art-788992344adf4ca38a59d6b636cbbdc7
institution Kabale University
issn 2076-2615
language English
publishDate 2024-12-01
publisher MDPI AG
record_format Article
series Animals
spelling doaj-art-788992344adf4ca38a59d6b636cbbdc72025-01-10T13:13:50ZengMDPI AGAnimals2076-26152024-12-011512610.3390/ani15010026Genome-Wide Association Analysis of Boar Semen Traits Based on Computer-Assisted Semen Analysis and Flow CytometryXiyan Yang0Jingkun Nie1Yaxuan Zhang2Suqing Wang3Xiaoping Zhu4Zhili Li5Yunxiang Zhao6Xiuguo Shang7School of Life Science and Engineering, Foshan University, Foshan 528000, ChinaSchool of Life Science and Engineering, Foshan University, Foshan 528000, ChinaSchool of Life Science and Engineering, Foshan University, Foshan 528000, ChinaSchool of Life Science and Engineering, Foshan University, Foshan 528000, ChinaSchool of Life Science and Engineering, Foshan University, Foshan 528000, ChinaSchool of Life Science and Engineering, Foshan University, Foshan 528000, ChinaSchool of Animal Science and Technology, Guangxi University, Nanning 530004, ChinaSchool of Life Science and Engineering, Foshan University, Foshan 528000, ChinaSemen quality and persistence are critical for evaluating the usability of individual boars in AI, a standard practice in pig breeding. We conducted GWASs on various semen traits of Duroc boars, including MOT, DEN, ABN, MMP, AIR, and ROS levels. These traits were assessed using FCM and CASA. A total of 1183 Duroc boars were genotyped using the GeneSeek GGP Porcine 50 K SNP BeadChip. The GWAS was performed using three different models: GLM, MLM, and FarmCPU. Additionally, trait heritability was estimated using single- and multiple-trait PBLUP models, yielding 0.19, 0.29, 0.13, 0.18, 0.11, and 0.14 heritability for MOT, DEN, ABN, MMP, AIR, and ROS, respectively. All semen traits exhibited low heritability except ABN, which demonstrated medium heritability. Nine candidate genes (<i>GPX5</i>, <i>AWN</i>, <i>PSP-II</i>, <i>CCDC62</i>, <i>TMEM65</i>, <i>SLC8B1</i>, <i>TRPV4</i>, <i>UBE3B</i>, and <i>SIRT5</i>) were potentially associated with semen traits. These genes are associated with antioxidant and mitochondrial functions in porcine sperm. Our findings provide insight into the genetic architecture of semen traits in Duroc boars, and the identified SNPs and candidate genes may enhance economic outcomes in the pig breeding industry while improving sperm quality through targeted breeding strategies.https://www.mdpi.com/2076-2615/15/1/26duroc boarsflow cytometryGWASsemen traitsCASA
spellingShingle Xiyan Yang
Jingkun Nie
Yaxuan Zhang
Suqing Wang
Xiaoping Zhu
Zhili Li
Yunxiang Zhao
Xiuguo Shang
Genome-Wide Association Analysis of Boar Semen Traits Based on Computer-Assisted Semen Analysis and Flow Cytometry
Animals
duroc boars
flow cytometry
GWAS
semen traits
CASA
title Genome-Wide Association Analysis of Boar Semen Traits Based on Computer-Assisted Semen Analysis and Flow Cytometry
title_full Genome-Wide Association Analysis of Boar Semen Traits Based on Computer-Assisted Semen Analysis and Flow Cytometry
title_fullStr Genome-Wide Association Analysis of Boar Semen Traits Based on Computer-Assisted Semen Analysis and Flow Cytometry
title_full_unstemmed Genome-Wide Association Analysis of Boar Semen Traits Based on Computer-Assisted Semen Analysis and Flow Cytometry
title_short Genome-Wide Association Analysis of Boar Semen Traits Based on Computer-Assisted Semen Analysis and Flow Cytometry
title_sort genome wide association analysis of boar semen traits based on computer assisted semen analysis and flow cytometry
topic duroc boars
flow cytometry
GWAS
semen traits
CASA
url https://www.mdpi.com/2076-2615/15/1/26
work_keys_str_mv AT xiyanyang genomewideassociationanalysisofboarsementraitsbasedoncomputerassistedsemenanalysisandflowcytometry
AT jingkunnie genomewideassociationanalysisofboarsementraitsbasedoncomputerassistedsemenanalysisandflowcytometry
AT yaxuanzhang genomewideassociationanalysisofboarsementraitsbasedoncomputerassistedsemenanalysisandflowcytometry
AT suqingwang genomewideassociationanalysisofboarsementraitsbasedoncomputerassistedsemenanalysisandflowcytometry
AT xiaopingzhu genomewideassociationanalysisofboarsementraitsbasedoncomputerassistedsemenanalysisandflowcytometry
AT zhilili genomewideassociationanalysisofboarsementraitsbasedoncomputerassistedsemenanalysisandflowcytometry
AT yunxiangzhao genomewideassociationanalysisofboarsementraitsbasedoncomputerassistedsemenanalysisandflowcytometry
AT xiuguoshang genomewideassociationanalysisofboarsementraitsbasedoncomputerassistedsemenanalysisandflowcytometry