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Genomic, expressional, protein-protein interactional analysis of Trihelix transcription factor genes in Setaria italia and inference of their evolutionary trajectory

BACKGROUND: Trihelix transcription factors (TTF) play important roles in plant growth and response to adversity stress. Until now, genome-wide identification and analysis of this gene family in foxtail millet has not been available. Here, we identified TTF genes in the foxtail millet and its grass r...

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Autores principales: Wang, Zhenyi, Zhao, Kanglu, Pan, Yuxin, Wang, Jinpeng, Song, Xiaoming, Ge, Weina, Yuan, Min, Lei, Tianyu, Wang, Li, Zhang, Lan, Li, Yuxian, Liu, Tao, Chen, Wei, Meng, Wenjing, Sun, Changkai, Cui, Xiaobo, Bai, Yun, Wang, Xiyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6134603/
https://www.ncbi.nlm.nih.gov/pubmed/30208846
http://dx.doi.org/10.1186/s12864-018-5051-9
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author Wang, Zhenyi
Zhao, Kanglu
Pan, Yuxin
Wang, Jinpeng
Song, Xiaoming
Ge, Weina
Yuan, Min
Lei, Tianyu
Wang, Li
Zhang, Lan
Li, Yuxian
Liu, Tao
Chen, Wei
Meng, Wenjing
Sun, Changkai
Cui, Xiaobo
Bai, Yun
Wang, Xiyin
author_facet Wang, Zhenyi
Zhao, Kanglu
Pan, Yuxin
Wang, Jinpeng
Song, Xiaoming
Ge, Weina
Yuan, Min
Lei, Tianyu
Wang, Li
Zhang, Lan
Li, Yuxian
Liu, Tao
Chen, Wei
Meng, Wenjing
Sun, Changkai
Cui, Xiaobo
Bai, Yun
Wang, Xiyin
author_sort Wang, Zhenyi
collection PubMed
description BACKGROUND: Trihelix transcription factors (TTF) play important roles in plant growth and response to adversity stress. Until now, genome-wide identification and analysis of this gene family in foxtail millet has not been available. Here, we identified TTF genes in the foxtail millet and its grass relatives, and characterized their functional domains. RESULTS: As to sequence divergence, TTF genes were previously divided into five subfamilies, I-V. We found that Trihelix family members in foxtail millet and other grasses mostly preserved their ancestral chromosomal locations during millions of years’ evolution. Six amino acid sites of the SIP1 subfamily possibly were likely subjected to significant positive selection. Highest expression level was observed in the spica, with the SIP1 subfamily having highest expression level. As to the origination and expansion of the gene family, notably we showed that a subgroup of subfamily IV was the oldest, and therefore was separated to define a new subfamily O. Overtime, starting from the subfamily O, certain genes evolved to form subfamilies III and I, and later from subfamily I to develop subfamilies II and V. The oldest gene, Si1g016284, has the most structural changes, and a high expression in different tissues. What’s more interesting is that it may have bridge the interaction with different proteins. CONCLUSIONS: By performing phylogenetic analysis using non-plant species, notably we showed that a subgroup of subfamily IV was the oldest, and therefore was separated to define a new subfamily O. Starting from the subfamily O, certain genes evolved to form other subfamilies. Our work will contribute to understanding the structural and functional innovation of Trihelix transcription factor, and the evolutionary trajectory. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5051-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-61346032018-09-13 Genomic, expressional, protein-protein interactional analysis of Trihelix transcription factor genes in Setaria italia and inference of their evolutionary trajectory Wang, Zhenyi Zhao, Kanglu Pan, Yuxin Wang, Jinpeng Song, Xiaoming Ge, Weina Yuan, Min Lei, Tianyu Wang, Li Zhang, Lan Li, Yuxian Liu, Tao Chen, Wei Meng, Wenjing Sun, Changkai Cui, Xiaobo Bai, Yun Wang, Xiyin BMC Genomics Research Article BACKGROUND: Trihelix transcription factors (TTF) play important roles in plant growth and response to adversity stress. Until now, genome-wide identification and analysis of this gene family in foxtail millet has not been available. Here, we identified TTF genes in the foxtail millet and its grass relatives, and characterized their functional domains. RESULTS: As to sequence divergence, TTF genes were previously divided into five subfamilies, I-V. We found that Trihelix family members in foxtail millet and other grasses mostly preserved their ancestral chromosomal locations during millions of years’ evolution. Six amino acid sites of the SIP1 subfamily possibly were likely subjected to significant positive selection. Highest expression level was observed in the spica, with the SIP1 subfamily having highest expression level. As to the origination and expansion of the gene family, notably we showed that a subgroup of subfamily IV was the oldest, and therefore was separated to define a new subfamily O. Overtime, starting from the subfamily O, certain genes evolved to form subfamilies III and I, and later from subfamily I to develop subfamilies II and V. The oldest gene, Si1g016284, has the most structural changes, and a high expression in different tissues. What’s more interesting is that it may have bridge the interaction with different proteins. CONCLUSIONS: By performing phylogenetic analysis using non-plant species, notably we showed that a subgroup of subfamily IV was the oldest, and therefore was separated to define a new subfamily O. Starting from the subfamily O, certain genes evolved to form other subfamilies. Our work will contribute to understanding the structural and functional innovation of Trihelix transcription factor, and the evolutionary trajectory. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5051-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-09-12 /pmc/articles/PMC6134603/ /pubmed/30208846 http://dx.doi.org/10.1186/s12864-018-5051-9 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Wang, Zhenyi
Zhao, Kanglu
Pan, Yuxin
Wang, Jinpeng
Song, Xiaoming
Ge, Weina
Yuan, Min
Lei, Tianyu
Wang, Li
Zhang, Lan
Li, Yuxian
Liu, Tao
Chen, Wei
Meng, Wenjing
Sun, Changkai
Cui, Xiaobo
Bai, Yun
Wang, Xiyin
Genomic, expressional, protein-protein interactional analysis of Trihelix transcription factor genes in Setaria italia and inference of their evolutionary trajectory
title Genomic, expressional, protein-protein interactional analysis of Trihelix transcription factor genes in Setaria italia and inference of their evolutionary trajectory
title_full Genomic, expressional, protein-protein interactional analysis of Trihelix transcription factor genes in Setaria italia and inference of their evolutionary trajectory
title_fullStr Genomic, expressional, protein-protein interactional analysis of Trihelix transcription factor genes in Setaria italia and inference of their evolutionary trajectory
title_full_unstemmed Genomic, expressional, protein-protein interactional analysis of Trihelix transcription factor genes in Setaria italia and inference of their evolutionary trajectory
title_short Genomic, expressional, protein-protein interactional analysis of Trihelix transcription factor genes in Setaria italia and inference of their evolutionary trajectory
title_sort genomic, expressional, protein-protein interactional analysis of trihelix transcription factor genes in setaria italia and inference of their evolutionary trajectory
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6134603/
https://www.ncbi.nlm.nih.gov/pubmed/30208846
http://dx.doi.org/10.1186/s12864-018-5051-9
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