Cargando…

Genomics Analyses Reveal Unique Classification, Population Structure and Novel Allele of Neo-Tetraploid Rice

BACKGROUND: Neo-tetraploid rice (NTR) is a useful new germplasm that developed from the descendants of the autotetraploid rice (ATR) hybrids. NTR showed improved fertility and yield potential, and produced high yield heterosis when crossed with indica ATR for commercial utilization. However, their c...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Hang, Li, Qihang, Li, Yudi, Yang, Huijing, Lu, Zijun, Wu, Jinwen, Zhang, Zemin, Shahid, Muhammad Qasim, Liu, Xiangdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867503/
https://www.ncbi.nlm.nih.gov/pubmed/33547986
http://dx.doi.org/10.1186/s12284-021-00459-y
_version_ 1783648306580160512
author Yu, Hang
Li, Qihang
Li, Yudi
Yang, Huijing
Lu, Zijun
Wu, Jinwen
Zhang, Zemin
Shahid, Muhammad Qasim
Liu, Xiangdong
author_facet Yu, Hang
Li, Qihang
Li, Yudi
Yang, Huijing
Lu, Zijun
Wu, Jinwen
Zhang, Zemin
Shahid, Muhammad Qasim
Liu, Xiangdong
author_sort Yu, Hang
collection PubMed
description BACKGROUND: Neo-tetraploid rice (NTR) is a useful new germplasm that developed from the descendants of the autotetraploid rice (ATR) hybrids. NTR showed improved fertility and yield potential, and produced high yield heterosis when crossed with indica ATR for commercial utilization. However, their classification, population structure and genomic feature remain elusive. RESULTS: Here, high-depth genome resequencing data of 15 NTRs and 18 ATRs, together with 38 publicly available data of diploid rice accessions, were analyzed to conduct classification, population structure and haplotype analyses. Five subpopulations were detected and NTRs were clustered into one independent group that was adjacent to japonica subspecies, which maybe the reason for high heterosis when NTRs crossed with indica ATRs. Haplotype patterns of 717 key genes that associated with yield and other agronomic traits were revealed in these NTRs. Moreover, a novel specific SNP variation was detected in the first exon of HSP101, a known heat-inducible gene, which was conserved in all NTRs but absent in ATRs, 3KRG and RiceVarMap2 databases. The novel allele was named as HSP101–1, which was confirmed to be a heat response factor by qRT-PCR, and knockout of HSP101–1 significantly decreased the thermotolerance capacity of NTR. Interestingly, HSP101–1 was also specifically expressed in the anthers of NTR at pre-meiotic and meiosis stages under optimal environment without heat stress, and its loss-of-function mutant showed significant decrease in fertility of NTR. CONCLUSION: The construction of first genomic variation repository and the revelation of population structure provide invaluable information for optimizing the designs of tetraploid rice breeding. The detection of specific genomic variations offered useful genomic markers and new directions to resolve high fertility mechanism of NTR. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12284-021-00459-y.
format Online
Article
Text
id pubmed-7867503
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-78675032021-02-16 Genomics Analyses Reveal Unique Classification, Population Structure and Novel Allele of Neo-Tetraploid Rice Yu, Hang Li, Qihang Li, Yudi Yang, Huijing Lu, Zijun Wu, Jinwen Zhang, Zemin Shahid, Muhammad Qasim Liu, Xiangdong Rice (N Y) Original Article BACKGROUND: Neo-tetraploid rice (NTR) is a useful new germplasm that developed from the descendants of the autotetraploid rice (ATR) hybrids. NTR showed improved fertility and yield potential, and produced high yield heterosis when crossed with indica ATR for commercial utilization. However, their classification, population structure and genomic feature remain elusive. RESULTS: Here, high-depth genome resequencing data of 15 NTRs and 18 ATRs, together with 38 publicly available data of diploid rice accessions, were analyzed to conduct classification, population structure and haplotype analyses. Five subpopulations were detected and NTRs were clustered into one independent group that was adjacent to japonica subspecies, which maybe the reason for high heterosis when NTRs crossed with indica ATRs. Haplotype patterns of 717 key genes that associated with yield and other agronomic traits were revealed in these NTRs. Moreover, a novel specific SNP variation was detected in the first exon of HSP101, a known heat-inducible gene, which was conserved in all NTRs but absent in ATRs, 3KRG and RiceVarMap2 databases. The novel allele was named as HSP101–1, which was confirmed to be a heat response factor by qRT-PCR, and knockout of HSP101–1 significantly decreased the thermotolerance capacity of NTR. Interestingly, HSP101–1 was also specifically expressed in the anthers of NTR at pre-meiotic and meiosis stages under optimal environment without heat stress, and its loss-of-function mutant showed significant decrease in fertility of NTR. CONCLUSION: The construction of first genomic variation repository and the revelation of population structure provide invaluable information for optimizing the designs of tetraploid rice breeding. The detection of specific genomic variations offered useful genomic markers and new directions to resolve high fertility mechanism of NTR. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12284-021-00459-y. Springer US 2021-02-06 /pmc/articles/PMC7867503/ /pubmed/33547986 http://dx.doi.org/10.1186/s12284-021-00459-y Text en © The Author(s) 2021 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/.
spellingShingle Original Article
Yu, Hang
Li, Qihang
Li, Yudi
Yang, Huijing
Lu, Zijun
Wu, Jinwen
Zhang, Zemin
Shahid, Muhammad Qasim
Liu, Xiangdong
Genomics Analyses Reveal Unique Classification, Population Structure and Novel Allele of Neo-Tetraploid Rice
title Genomics Analyses Reveal Unique Classification, Population Structure and Novel Allele of Neo-Tetraploid Rice
title_full Genomics Analyses Reveal Unique Classification, Population Structure and Novel Allele of Neo-Tetraploid Rice
title_fullStr Genomics Analyses Reveal Unique Classification, Population Structure and Novel Allele of Neo-Tetraploid Rice
title_full_unstemmed Genomics Analyses Reveal Unique Classification, Population Structure and Novel Allele of Neo-Tetraploid Rice
title_short Genomics Analyses Reveal Unique Classification, Population Structure and Novel Allele of Neo-Tetraploid Rice
title_sort genomics analyses reveal unique classification, population structure and novel allele of neo-tetraploid rice
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867503/
https://www.ncbi.nlm.nih.gov/pubmed/33547986
http://dx.doi.org/10.1186/s12284-021-00459-y
work_keys_str_mv AT yuhang genomicsanalysesrevealuniqueclassificationpopulationstructureandnovelalleleofneotetraploidrice
AT liqihang genomicsanalysesrevealuniqueclassificationpopulationstructureandnovelalleleofneotetraploidrice
AT liyudi genomicsanalysesrevealuniqueclassificationpopulationstructureandnovelalleleofneotetraploidrice
AT yanghuijing genomicsanalysesrevealuniqueclassificationpopulationstructureandnovelalleleofneotetraploidrice
AT luzijun genomicsanalysesrevealuniqueclassificationpopulationstructureandnovelalleleofneotetraploidrice
AT wujinwen genomicsanalysesrevealuniqueclassificationpopulationstructureandnovelalleleofneotetraploidrice
AT zhangzemin genomicsanalysesrevealuniqueclassificationpopulationstructureandnovelalleleofneotetraploidrice
AT shahidmuhammadqasim genomicsanalysesrevealuniqueclassificationpopulationstructureandnovelalleleofneotetraploidrice
AT liuxiangdong genomicsanalysesrevealuniqueclassificationpopulationstructureandnovelalleleofneotetraploidrice