Cargando…

Comprehensive identification and analysis of DELLA genes throughout the plant kingdom

BACKGROUND: DELLAs play key roles in plant gibberellin signaling pathways and are generally important in plant development and growth. However, DELLAs in many plant taxa have not yet been systematically analyzed. RESULTS: In our study, we searched for DELLA genes across 58 green plant genomes and fo...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Pengfei, Zhang, Qianqian, Chen, Yingchun, Zhao, Yanxia, Ren, Fengshan, Shi, Hongmei, Wu, Xinying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409643/
https://www.ncbi.nlm.nih.gov/pubmed/32762652
http://dx.doi.org/10.1186/s12870-020-02574-2
_version_ 1783568101125652480
author Wang, Pengfei
Zhang, Qianqian
Chen, Yingchun
Zhao, Yanxia
Ren, Fengshan
Shi, Hongmei
Wu, Xinying
author_facet Wang, Pengfei
Zhang, Qianqian
Chen, Yingchun
Zhao, Yanxia
Ren, Fengshan
Shi, Hongmei
Wu, Xinying
author_sort Wang, Pengfei
collection PubMed
description BACKGROUND: DELLAs play key roles in plant gibberellin signaling pathways and are generally important in plant development and growth. However, DELLAs in many plant taxa have not yet been systematically analyzed. RESULTS: In our study, we searched for DELLA genes across 58 green plant genomes and found 181 DELLAs. Structure analysis showed some DELLA domains do not contain “D-E-L-L-A” sequences and instead contain similar domains, including DGLLA and DSLLH domains. “VHYNP” motifs in plant DELLAs comprise 23 types of sequences, while some DELLAs did not contain GRAS domains. In grape, we found that the DELLA protein GSVIVT01015465001 contains an F-box domain, while apple DELLA proteins MDP0000220512 and MDP0000403162 contain a WW domain and a BCIP domain, respectively. These DELLAs can be divided into 22 homologous groups and 17 orthologous groups, and 35 paralogous genes were identified. In total, 35 positively selected genes (PSGs) and 121 negatively selected genes (NSGs) were found among DELLAs based on selective pressure analysis, with an average K(s) of NSGs that was significantly higher than that of PSGs (P < 0.05). Among the paralogous groups, CBI and Fop were significantly positively correlated with GC, GC1, GC2, GC12, and GC3, while CAI was significantly positively correlated with GC, GC1, GC12, and GC. The paralogous groups with ω values exceeding 1 had significantly higher K(a) values. We also found some paralogous groups with ω values exceeding 1 that differed in their motifs. CONCLUSIONS: This study provides helpful insights into the evolution of DELLA genes and offers exciting opportunities for the investigation of DELLA functions in different plants.
format Online
Article
Text
id pubmed-7409643
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-74096432020-08-07 Comprehensive identification and analysis of DELLA genes throughout the plant kingdom Wang, Pengfei Zhang, Qianqian Chen, Yingchun Zhao, Yanxia Ren, Fengshan Shi, Hongmei Wu, Xinying BMC Plant Biol Research Article BACKGROUND: DELLAs play key roles in plant gibberellin signaling pathways and are generally important in plant development and growth. However, DELLAs in many plant taxa have not yet been systematically analyzed. RESULTS: In our study, we searched for DELLA genes across 58 green plant genomes and found 181 DELLAs. Structure analysis showed some DELLA domains do not contain “D-E-L-L-A” sequences and instead contain similar domains, including DGLLA and DSLLH domains. “VHYNP” motifs in plant DELLAs comprise 23 types of sequences, while some DELLAs did not contain GRAS domains. In grape, we found that the DELLA protein GSVIVT01015465001 contains an F-box domain, while apple DELLA proteins MDP0000220512 and MDP0000403162 contain a WW domain and a BCIP domain, respectively. These DELLAs can be divided into 22 homologous groups and 17 orthologous groups, and 35 paralogous genes were identified. In total, 35 positively selected genes (PSGs) and 121 negatively selected genes (NSGs) were found among DELLAs based on selective pressure analysis, with an average K(s) of NSGs that was significantly higher than that of PSGs (P < 0.05). Among the paralogous groups, CBI and Fop were significantly positively correlated with GC, GC1, GC2, GC12, and GC3, while CAI was significantly positively correlated with GC, GC1, GC12, and GC. The paralogous groups with ω values exceeding 1 had significantly higher K(a) values. We also found some paralogous groups with ω values exceeding 1 that differed in their motifs. CONCLUSIONS: This study provides helpful insights into the evolution of DELLA genes and offers exciting opportunities for the investigation of DELLA functions in different plants. BioMed Central 2020-08-06 /pmc/articles/PMC7409643/ /pubmed/32762652 http://dx.doi.org/10.1186/s12870-020-02574-2 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
Wang, Pengfei
Zhang, Qianqian
Chen, Yingchun
Zhao, Yanxia
Ren, Fengshan
Shi, Hongmei
Wu, Xinying
Comprehensive identification and analysis of DELLA genes throughout the plant kingdom
title Comprehensive identification and analysis of DELLA genes throughout the plant kingdom
title_full Comprehensive identification and analysis of DELLA genes throughout the plant kingdom
title_fullStr Comprehensive identification and analysis of DELLA genes throughout the plant kingdom
title_full_unstemmed Comprehensive identification and analysis of DELLA genes throughout the plant kingdom
title_short Comprehensive identification and analysis of DELLA genes throughout the plant kingdom
title_sort comprehensive identification and analysis of della genes throughout the plant kingdom
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409643/
https://www.ncbi.nlm.nih.gov/pubmed/32762652
http://dx.doi.org/10.1186/s12870-020-02574-2
work_keys_str_mv AT wangpengfei comprehensiveidentificationandanalysisofdellagenesthroughouttheplantkingdom
AT zhangqianqian comprehensiveidentificationandanalysisofdellagenesthroughouttheplantkingdom
AT chenyingchun comprehensiveidentificationandanalysisofdellagenesthroughouttheplantkingdom
AT zhaoyanxia comprehensiveidentificationandanalysisofdellagenesthroughouttheplantkingdom
AT renfengshan comprehensiveidentificationandanalysisofdellagenesthroughouttheplantkingdom
AT shihongmei comprehensiveidentificationandanalysisofdellagenesthroughouttheplantkingdom
AT wuxinying comprehensiveidentificationandanalysisofdellagenesthroughouttheplantkingdom