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Comparative transcriptomics identifies patterns of selection in roses

BACKGROUND: Roses are important plants for human beings with pivotal economical and biological traits like continuous flowering, flower architecture, color and scent. Due to frequent hybridization and high genome heterozygosity, classification of roses and their relatives remains a big challenge. RE...

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Autores principales: Li, Shubin, Zhong, Micai, Dong, Xue, Jiang, Xiaodong, Xu, Yuxing, Sun, Yibo, Cheng, Fang, Li, De-zhu, Tang, Kaixue, Wang, Siqing, Dai, Silan, Hu, Jin-Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303930/
https://www.ncbi.nlm.nih.gov/pubmed/30579326
http://dx.doi.org/10.1186/s12870-018-1585-x
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author Li, Shubin
Zhong, Micai
Dong, Xue
Jiang, Xiaodong
Xu, Yuxing
Sun, Yibo
Cheng, Fang
Li, De-zhu
Tang, Kaixue
Wang, Siqing
Dai, Silan
Hu, Jin-Yong
author_facet Li, Shubin
Zhong, Micai
Dong, Xue
Jiang, Xiaodong
Xu, Yuxing
Sun, Yibo
Cheng, Fang
Li, De-zhu
Tang, Kaixue
Wang, Siqing
Dai, Silan
Hu, Jin-Yong
author_sort Li, Shubin
collection PubMed
description BACKGROUND: Roses are important plants for human beings with pivotal economical and biological traits like continuous flowering, flower architecture, color and scent. Due to frequent hybridization and high genome heterozygosity, classification of roses and their relatives remains a big challenge. RESULTS: Here, to identify potential markers for phylogenetic reconstruction and to reveal the patterns of natural selection in roses, we generated sets of high quality and comprehensive reference transcriptomes for Rosa chinensis ‘Old Blush’ (OB) and R. wichuriana ‘Basye’s Thornless’ (BT), two species exhibiting contrasted traits of high economical importance. The assembled reference transcriptomes showed transcripts N50 above 2000 bp. Two roses shared about 10,073 transcripts (N50 = 2282 bp), in which a set of 5959 transcripts was conserved within genera of Rosa. Further comparison with species in Rosaceae identified 4447 transcripts being common (Rosaceae-common) in Rosa, Malus, Prunus, Rubus, and Fragaria, while a pool of 164 transcripts being specific for roses (Rosa-specific). Among the Rosaceae-common transcripts, 409 transcripts showed a signature of positive selection and a clustered expression in different tissues. Interestingly, nine of these rapidly evolving genes were related to DNA damage repair and responses to environmental stimulus, a potential associated with genome confliction post hybridization. Coincident with this fast evolution pattern in rose genes, 24 F-box and four TMV resistant proteins were significantly enriched in the Rosa-specific genes. CONCLUSIONS: We expect that these Rosaceae-common and Rosa-specific transcripts should facilitate the phylogenetic analysis of Rosaceae plants as well as investigations of Rosa-specific biology. The data reported here could provide fundamental genomic tools and knowledge critical for understanding the biology and domestication of roses and for roses breeding. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-018-1585-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-63039302018-12-31 Comparative transcriptomics identifies patterns of selection in roses Li, Shubin Zhong, Micai Dong, Xue Jiang, Xiaodong Xu, Yuxing Sun, Yibo Cheng, Fang Li, De-zhu Tang, Kaixue Wang, Siqing Dai, Silan Hu, Jin-Yong BMC Plant Biol Research Article BACKGROUND: Roses are important plants for human beings with pivotal economical and biological traits like continuous flowering, flower architecture, color and scent. Due to frequent hybridization and high genome heterozygosity, classification of roses and their relatives remains a big challenge. RESULTS: Here, to identify potential markers for phylogenetic reconstruction and to reveal the patterns of natural selection in roses, we generated sets of high quality and comprehensive reference transcriptomes for Rosa chinensis ‘Old Blush’ (OB) and R. wichuriana ‘Basye’s Thornless’ (BT), two species exhibiting contrasted traits of high economical importance. The assembled reference transcriptomes showed transcripts N50 above 2000 bp. Two roses shared about 10,073 transcripts (N50 = 2282 bp), in which a set of 5959 transcripts was conserved within genera of Rosa. Further comparison with species in Rosaceae identified 4447 transcripts being common (Rosaceae-common) in Rosa, Malus, Prunus, Rubus, and Fragaria, while a pool of 164 transcripts being specific for roses (Rosa-specific). Among the Rosaceae-common transcripts, 409 transcripts showed a signature of positive selection and a clustered expression in different tissues. Interestingly, nine of these rapidly evolving genes were related to DNA damage repair and responses to environmental stimulus, a potential associated with genome confliction post hybridization. Coincident with this fast evolution pattern in rose genes, 24 F-box and four TMV resistant proteins were significantly enriched in the Rosa-specific genes. CONCLUSIONS: We expect that these Rosaceae-common and Rosa-specific transcripts should facilitate the phylogenetic analysis of Rosaceae plants as well as investigations of Rosa-specific biology. The data reported here could provide fundamental genomic tools and knowledge critical for understanding the biology and domestication of roses and for roses breeding. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-018-1585-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-22 /pmc/articles/PMC6303930/ /pubmed/30579326 http://dx.doi.org/10.1186/s12870-018-1585-x 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
Li, Shubin
Zhong, Micai
Dong, Xue
Jiang, Xiaodong
Xu, Yuxing
Sun, Yibo
Cheng, Fang
Li, De-zhu
Tang, Kaixue
Wang, Siqing
Dai, Silan
Hu, Jin-Yong
Comparative transcriptomics identifies patterns of selection in roses
title Comparative transcriptomics identifies patterns of selection in roses
title_full Comparative transcriptomics identifies patterns of selection in roses
title_fullStr Comparative transcriptomics identifies patterns of selection in roses
title_full_unstemmed Comparative transcriptomics identifies patterns of selection in roses
title_short Comparative transcriptomics identifies patterns of selection in roses
title_sort comparative transcriptomics identifies patterns of selection in roses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303930/
https://www.ncbi.nlm.nih.gov/pubmed/30579326
http://dx.doi.org/10.1186/s12870-018-1585-x
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