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Genome-wide characterization of copy number variations in the host genome in genetic resistance to Marek’s disease using next generation sequencing

BACKGROUND: Marek’s disease (MD) is a highly neoplastic disease primarily affecting chickens, and remains as a chronic infectious disease that threatens the poultry industry. Copy number variation (CNV) has been examined in many species and is recognized as a major source of genetic variation that d...

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Autores principales: Bai, Hao, He, Yanghua, Ding, Yi, Chu, Qin, Lian, Ling, Heifetz, Eliyahu M., Yang, Ning, Cheng, Hans H., Zhang, Huanmin, Chen, Jilan, Song, Jiuzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364486/
https://www.ncbi.nlm.nih.gov/pubmed/32677890
http://dx.doi.org/10.1186/s12863-020-00884-w
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author Bai, Hao
He, Yanghua
Ding, Yi
Chu, Qin
Lian, Ling
Heifetz, Eliyahu M.
Yang, Ning
Cheng, Hans H.
Zhang, Huanmin
Chen, Jilan
Song, Jiuzhou
author_facet Bai, Hao
He, Yanghua
Ding, Yi
Chu, Qin
Lian, Ling
Heifetz, Eliyahu M.
Yang, Ning
Cheng, Hans H.
Zhang, Huanmin
Chen, Jilan
Song, Jiuzhou
author_sort Bai, Hao
collection PubMed
description BACKGROUND: Marek’s disease (MD) is a highly neoplastic disease primarily affecting chickens, and remains as a chronic infectious disease that threatens the poultry industry. Copy number variation (CNV) has been examined in many species and is recognized as a major source of genetic variation that directly contributes to phenotypic variation such as resistance to infectious diseases. Two highly inbred chicken lines, 6(3) (MD-resistant) and 7(2) (MD-susceptible), as well as their F(1) generation and six recombinant congenic strains (RCSs) with varied susceptibility to MD, are considered as ideal models to identify the complex mechanisms of genetic and molecular resistance to MD. RESULTS: In the present study, to unravel the potential genetic mechanisms underlying resistance to MD, we performed a genome-wide CNV detection using next generation sequencing on the inbred chicken lines with the assistance of CNVnator. As a result, a total of 1649 CNV regions (CNVRs) were successfully identified after merging all the nine datasets, of which 90 CNVRs were overlapped across all the chicken lines. Within these shared regions, 1360 harbored genes were identified. In addition, 55 and 44 CNVRs with 62 and 57 harbored genes were specifically identified in line 6(3) and 7(2), respectively. Bioinformatics analysis showed that the nearby genes were significantly enriched in 36 GO terms and 6 KEGG pathways including JAK/STAT signaling pathway. Ten CNVRs (nine deletions and one duplication) involved in 10 disease-related genes were selected for validation by using quantitative real-time PCR (qPCR), all of which were successfully confirmed. Finally, qPCR was also used to validate two deletion events in line 7(2) that were definitely normal in line 6(3). One high-confidence gene, IRF2 was identified as the most promising candidate gene underlying resistance and susceptibility to MD in view of its function and overlaps with data from previous study. CONCLUSIONS: Our findings provide valuable insights for understanding the genetic mechanism of resistance to MD and the identified gene and pathway could be considered as the subject of further functional characterization.
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spelling pubmed-73644862020-07-20 Genome-wide characterization of copy number variations in the host genome in genetic resistance to Marek’s disease using next generation sequencing Bai, Hao He, Yanghua Ding, Yi Chu, Qin Lian, Ling Heifetz, Eliyahu M. Yang, Ning Cheng, Hans H. Zhang, Huanmin Chen, Jilan Song, Jiuzhou BMC Genet Research Article BACKGROUND: Marek’s disease (MD) is a highly neoplastic disease primarily affecting chickens, and remains as a chronic infectious disease that threatens the poultry industry. Copy number variation (CNV) has been examined in many species and is recognized as a major source of genetic variation that directly contributes to phenotypic variation such as resistance to infectious diseases. Two highly inbred chicken lines, 6(3) (MD-resistant) and 7(2) (MD-susceptible), as well as their F(1) generation and six recombinant congenic strains (RCSs) with varied susceptibility to MD, are considered as ideal models to identify the complex mechanisms of genetic and molecular resistance to MD. RESULTS: In the present study, to unravel the potential genetic mechanisms underlying resistance to MD, we performed a genome-wide CNV detection using next generation sequencing on the inbred chicken lines with the assistance of CNVnator. As a result, a total of 1649 CNV regions (CNVRs) were successfully identified after merging all the nine datasets, of which 90 CNVRs were overlapped across all the chicken lines. Within these shared regions, 1360 harbored genes were identified. In addition, 55 and 44 CNVRs with 62 and 57 harbored genes were specifically identified in line 6(3) and 7(2), respectively. Bioinformatics analysis showed that the nearby genes were significantly enriched in 36 GO terms and 6 KEGG pathways including JAK/STAT signaling pathway. Ten CNVRs (nine deletions and one duplication) involved in 10 disease-related genes were selected for validation by using quantitative real-time PCR (qPCR), all of which were successfully confirmed. Finally, qPCR was also used to validate two deletion events in line 7(2) that were definitely normal in line 6(3). One high-confidence gene, IRF2 was identified as the most promising candidate gene underlying resistance and susceptibility to MD in view of its function and overlaps with data from previous study. CONCLUSIONS: Our findings provide valuable insights for understanding the genetic mechanism of resistance to MD and the identified gene and pathway could be considered as the subject of further functional characterization. BioMed Central 2020-07-16 /pmc/articles/PMC7364486/ /pubmed/32677890 http://dx.doi.org/10.1186/s12863-020-00884-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Bai, Hao
He, Yanghua
Ding, Yi
Chu, Qin
Lian, Ling
Heifetz, Eliyahu M.
Yang, Ning
Cheng, Hans H.
Zhang, Huanmin
Chen, Jilan
Song, Jiuzhou
Genome-wide characterization of copy number variations in the host genome in genetic resistance to Marek’s disease using next generation sequencing
title Genome-wide characterization of copy number variations in the host genome in genetic resistance to Marek’s disease using next generation sequencing
title_full Genome-wide characterization of copy number variations in the host genome in genetic resistance to Marek’s disease using next generation sequencing
title_fullStr Genome-wide characterization of copy number variations in the host genome in genetic resistance to Marek’s disease using next generation sequencing
title_full_unstemmed Genome-wide characterization of copy number variations in the host genome in genetic resistance to Marek’s disease using next generation sequencing
title_short Genome-wide characterization of copy number variations in the host genome in genetic resistance to Marek’s disease using next generation sequencing
title_sort genome-wide characterization of copy number variations in the host genome in genetic resistance to marek’s disease using next generation sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364486/
https://www.ncbi.nlm.nih.gov/pubmed/32677890
http://dx.doi.org/10.1186/s12863-020-00884-w
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