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Genome-wide identification of the NLR gene family in Haynaldia villosa by SMRT-RenSeq

BACKGROUND: Nucleotide-binding and leucine-rich repeat (NLR) genes have attracted wide attention due to their crucial role in protecting plants from pathogens. SMRT-RenSeq, combining PacBio sequencing after resistance gene enrichment sequencing (RenSeq), is a powerful method for selectively capturin...

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Autores principales: Huang, Zhenpu, Qiao, Fangyuan, Yang, Boming, Liu, Jiaqian, Liu, Yangqi, Wulff, Brande B. H., Hu, Ping, Lv, Zengshuai, Zhang, Ruiqi, Chen, Peidu, Xing, Liping, Cao, Aizhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832786/
https://www.ncbi.nlm.nih.gov/pubmed/35144544
http://dx.doi.org/10.1186/s12864-022-08334-w
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author Huang, Zhenpu
Qiao, Fangyuan
Yang, Boming
Liu, Jiaqian
Liu, Yangqi
Wulff, Brande B. H.
Hu, Ping
Lv, Zengshuai
Zhang, Ruiqi
Chen, Peidu
Xing, Liping
Cao, Aizhong
author_facet Huang, Zhenpu
Qiao, Fangyuan
Yang, Boming
Liu, Jiaqian
Liu, Yangqi
Wulff, Brande B. H.
Hu, Ping
Lv, Zengshuai
Zhang, Ruiqi
Chen, Peidu
Xing, Liping
Cao, Aizhong
author_sort Huang, Zhenpu
collection PubMed
description BACKGROUND: Nucleotide-binding and leucine-rich repeat (NLR) genes have attracted wide attention due to their crucial role in protecting plants from pathogens. SMRT-RenSeq, combining PacBio sequencing after resistance gene enrichment sequencing (RenSeq), is a powerful method for selectively capturing and sequencing full-length NLRs. Haynaldia villosa, a wild grass species with a proven potential for wheat improvement, confers resistance to multiple diseases. So, genome-wide identification of the NLR gene family in Haynaldia villosa by SMRT-RenSeq can facilitate disease resistance genes exploration. RESULTS: In this study, SMRT-RenSeq was performed to identify the genome-wide NLR complement of H. villosa. In total, 1320 NLRs were annotated in 1169 contigs, including 772 complete NLRs. All the complete NLRs were phylogenetically analyzed and 11 main clades with special characteristics were derived. NLRs could be captured with high efficiency when aligned with cloned R genes, and cluster expansion in some specific gene loci was observed. The physical location of NLRs to individual chromosomes in H. villosa showed a perfect homoeologous relationship with group 1, 2, 3, 5 and 6 of other Triticeae species, however, NLRs physically located on 4VL were largely in silico predicted to be located on the homoeologous group 7. Fifteen types of integrated domains (IDs) were integrated in 52 NLRs, and Kelch and B3 NLR-IDs were found to have expanded in H. villosa, while DUF948, NAM-associated and PRT_C were detected as unique integrated domains implying the new emergence of NLR-IDs after H. villosa diverged from other species. CONCLUSION: SMRT-RenSeq is a powerful tool to identify NLR genes from wild species using the baits of the evolutionary related species with reference sequences. The availability of the NLRs from H. villosa provide a valuable library for R gene mining and transfer of disease resistance into wheat. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08334-w.
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spelling pubmed-88327862022-02-15 Genome-wide identification of the NLR gene family in Haynaldia villosa by SMRT-RenSeq Huang, Zhenpu Qiao, Fangyuan Yang, Boming Liu, Jiaqian Liu, Yangqi Wulff, Brande B. H. Hu, Ping Lv, Zengshuai Zhang, Ruiqi Chen, Peidu Xing, Liping Cao, Aizhong BMC Genomics Research BACKGROUND: Nucleotide-binding and leucine-rich repeat (NLR) genes have attracted wide attention due to their crucial role in protecting plants from pathogens. SMRT-RenSeq, combining PacBio sequencing after resistance gene enrichment sequencing (RenSeq), is a powerful method for selectively capturing and sequencing full-length NLRs. Haynaldia villosa, a wild grass species with a proven potential for wheat improvement, confers resistance to multiple diseases. So, genome-wide identification of the NLR gene family in Haynaldia villosa by SMRT-RenSeq can facilitate disease resistance genes exploration. RESULTS: In this study, SMRT-RenSeq was performed to identify the genome-wide NLR complement of H. villosa. In total, 1320 NLRs were annotated in 1169 contigs, including 772 complete NLRs. All the complete NLRs were phylogenetically analyzed and 11 main clades with special characteristics were derived. NLRs could be captured with high efficiency when aligned with cloned R genes, and cluster expansion in some specific gene loci was observed. The physical location of NLRs to individual chromosomes in H. villosa showed a perfect homoeologous relationship with group 1, 2, 3, 5 and 6 of other Triticeae species, however, NLRs physically located on 4VL were largely in silico predicted to be located on the homoeologous group 7. Fifteen types of integrated domains (IDs) were integrated in 52 NLRs, and Kelch and B3 NLR-IDs were found to have expanded in H. villosa, while DUF948, NAM-associated and PRT_C were detected as unique integrated domains implying the new emergence of NLR-IDs after H. villosa diverged from other species. CONCLUSION: SMRT-RenSeq is a powerful tool to identify NLR genes from wild species using the baits of the evolutionary related species with reference sequences. The availability of the NLRs from H. villosa provide a valuable library for R gene mining and transfer of disease resistance into wheat. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08334-w. BioMed Central 2022-02-10 /pmc/articles/PMC8832786/ /pubmed/35144544 http://dx.doi.org/10.1186/s12864-022-08334-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Huang, Zhenpu
Qiao, Fangyuan
Yang, Boming
Liu, Jiaqian
Liu, Yangqi
Wulff, Brande B. H.
Hu, Ping
Lv, Zengshuai
Zhang, Ruiqi
Chen, Peidu
Xing, Liping
Cao, Aizhong
Genome-wide identification of the NLR gene family in Haynaldia villosa by SMRT-RenSeq
title Genome-wide identification of the NLR gene family in Haynaldia villosa by SMRT-RenSeq
title_full Genome-wide identification of the NLR gene family in Haynaldia villosa by SMRT-RenSeq
title_fullStr Genome-wide identification of the NLR gene family in Haynaldia villosa by SMRT-RenSeq
title_full_unstemmed Genome-wide identification of the NLR gene family in Haynaldia villosa by SMRT-RenSeq
title_short Genome-wide identification of the NLR gene family in Haynaldia villosa by SMRT-RenSeq
title_sort genome-wide identification of the nlr gene family in haynaldia villosa by smrt-renseq
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832786/
https://www.ncbi.nlm.nih.gov/pubmed/35144544
http://dx.doi.org/10.1186/s12864-022-08334-w
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