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RNA-Seq-Mediated Transcriptome Analysis of a Fiberless Mutant Cotton and Its Possible Origin Based on SNP Markers

As the longest known single-celled trichomes, cotton (Gossypium L.) fibers constitute a classic model system to investigate cell initiation and elongation. In this study, we used a high-throughput transcriptome sequencing technology to identify fiber-initiation-related single nucleotide polymorphism...

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Autores principales: Ma, Qifeng, Wu, Man, Pei, Wenfeng, Wang, Xiaoyan, Zhai, Honghong, Wang, Wenkui, Li, Xingli, Zhang, Jinfa, Yu, Jiwen, Yu, Shuxun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4798417/
https://www.ncbi.nlm.nih.gov/pubmed/26990639
http://dx.doi.org/10.1371/journal.pone.0151994
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author Ma, Qifeng
Wu, Man
Pei, Wenfeng
Wang, Xiaoyan
Zhai, Honghong
Wang, Wenkui
Li, Xingli
Zhang, Jinfa
Yu, Jiwen
Yu, Shuxun
author_facet Ma, Qifeng
Wu, Man
Pei, Wenfeng
Wang, Xiaoyan
Zhai, Honghong
Wang, Wenkui
Li, Xingli
Zhang, Jinfa
Yu, Jiwen
Yu, Shuxun
author_sort Ma, Qifeng
collection PubMed
description As the longest known single-celled trichomes, cotton (Gossypium L.) fibers constitute a classic model system to investigate cell initiation and elongation. In this study, we used a high-throughput transcriptome sequencing technology to identify fiber-initiation-related single nucleotide polymorphism (SNP) markers and differentially expressed genes (DEGs) between the wild-type (WT) Upland cotton (G. hirsutum) Xuzhou 142 and its natural fuzzless-lintless mutant Xuzhou 142 fl. Approximately 700 million high-quality cDNA reads representing over 58 Gb of sequences were obtained, resulting in the identification of 28,610 SNPs—of which 17,479 were novel—from 13,960 expressed genes. Of these SNPs, 50% of SNPs in fl were identical to those of G. barbadense, which suggests the likely origin of the fl mutant from an interspecific hybridization between Xuzhou 142 and an unknown G. barbadense genotype. Of all detected SNPs, 15,555, 12,750, and 305 were classified as non-synonymous, synonymous, and pre-terminated ones, respectively. Moreover, 1,352 insertion/deletion polymorphisms (InDels) were also detected. A total of 865 DEGs were identified between the WT and fl in ovules at −3 and 0 days post-anthesis, with 302 candidate SNPs selected from these DEGs for validation by a high-resolution melting analysis and Sanger sequencing in seven cotton genotypes. The number of genotypic pairwise polymorphisms varied from 43 to 302, indicating that the identified SNPs are reliable. These SNPs should serve as good resources for breeding and genetic studies in cotton.
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spelling pubmed-47984172016-03-23 RNA-Seq-Mediated Transcriptome Analysis of a Fiberless Mutant Cotton and Its Possible Origin Based on SNP Markers Ma, Qifeng Wu, Man Pei, Wenfeng Wang, Xiaoyan Zhai, Honghong Wang, Wenkui Li, Xingli Zhang, Jinfa Yu, Jiwen Yu, Shuxun PLoS One Research Article As the longest known single-celled trichomes, cotton (Gossypium L.) fibers constitute a classic model system to investigate cell initiation and elongation. In this study, we used a high-throughput transcriptome sequencing technology to identify fiber-initiation-related single nucleotide polymorphism (SNP) markers and differentially expressed genes (DEGs) between the wild-type (WT) Upland cotton (G. hirsutum) Xuzhou 142 and its natural fuzzless-lintless mutant Xuzhou 142 fl. Approximately 700 million high-quality cDNA reads representing over 58 Gb of sequences were obtained, resulting in the identification of 28,610 SNPs—of which 17,479 were novel—from 13,960 expressed genes. Of these SNPs, 50% of SNPs in fl were identical to those of G. barbadense, which suggests the likely origin of the fl mutant from an interspecific hybridization between Xuzhou 142 and an unknown G. barbadense genotype. Of all detected SNPs, 15,555, 12,750, and 305 were classified as non-synonymous, synonymous, and pre-terminated ones, respectively. Moreover, 1,352 insertion/deletion polymorphisms (InDels) were also detected. A total of 865 DEGs were identified between the WT and fl in ovules at −3 and 0 days post-anthesis, with 302 candidate SNPs selected from these DEGs for validation by a high-resolution melting analysis and Sanger sequencing in seven cotton genotypes. The number of genotypic pairwise polymorphisms varied from 43 to 302, indicating that the identified SNPs are reliable. These SNPs should serve as good resources for breeding and genetic studies in cotton. Public Library of Science 2016-03-18 /pmc/articles/PMC4798417/ /pubmed/26990639 http://dx.doi.org/10.1371/journal.pone.0151994 Text en © 2016 Ma et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ma, Qifeng
Wu, Man
Pei, Wenfeng
Wang, Xiaoyan
Zhai, Honghong
Wang, Wenkui
Li, Xingli
Zhang, Jinfa
Yu, Jiwen
Yu, Shuxun
RNA-Seq-Mediated Transcriptome Analysis of a Fiberless Mutant Cotton and Its Possible Origin Based on SNP Markers
title RNA-Seq-Mediated Transcriptome Analysis of a Fiberless Mutant Cotton and Its Possible Origin Based on SNP Markers
title_full RNA-Seq-Mediated Transcriptome Analysis of a Fiberless Mutant Cotton and Its Possible Origin Based on SNP Markers
title_fullStr RNA-Seq-Mediated Transcriptome Analysis of a Fiberless Mutant Cotton and Its Possible Origin Based on SNP Markers
title_full_unstemmed RNA-Seq-Mediated Transcriptome Analysis of a Fiberless Mutant Cotton and Its Possible Origin Based on SNP Markers
title_short RNA-Seq-Mediated Transcriptome Analysis of a Fiberless Mutant Cotton and Its Possible Origin Based on SNP Markers
title_sort rna-seq-mediated transcriptome analysis of a fiberless mutant cotton and its possible origin based on snp markers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4798417/
https://www.ncbi.nlm.nih.gov/pubmed/26990639
http://dx.doi.org/10.1371/journal.pone.0151994
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