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...
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2024-12-01
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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. |
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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 |
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