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      Transcript Complexity and New Insights of Restorer Line in CMS-D8 Cotton Through Full-Length Transcriptomic Analysis

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          Abstract

          Hybrid utilization has proficiently increased crop production worldwide. The cytoplasmic male sterility (CMS) system has emerged as an efficient tool for commercial hybrid cotton seed production. The restorer line with dominant Rf 2 gene can restore the fertility of the CMS-D8 sterile line. However, the molecular mechanism of fertility restoration remains unclear in CMS-D8 cotton that limits wider utilization of three-line hybrid breeding. In our study, the Pacific Biosciences (PacBio) Iso-Seq technology was applied to understand fertility restoration mechanism of CMS-D8 cotton. In total, 228,106 full-length non-chimeric transcriptome sequences were obtained from anthers of developing flowering buds. The analysis results identified 3,174 novel isoforms, 2,597 novel gene loci, 652 long non-coding RNAs predicted from novel isoforms, 7,234 alternative splicing events, 114 fusion transcripts, and 1,667 genes with alternative polyadenylation. Specially, two novel genes associated with restoration function, Ghir_D05.742.1 and m64033_190821_201011/21103726/ccs were identified and showed significant higher levels of expression in restorer line than sterile and maintainer lines. Our comparative full-length transcriptome analysis provides new insights into the molecular function of Rf 2 fertility restorer gene. The results of this study offer a platform for fertility restoration candidate gene discovery in CMS-D8 cotton.

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          Most cited references51

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          Fast and sensitive protein alignment using DIAMOND.

          The alignment of sequencing reads against a protein reference database is a major computational bottleneck in metagenomics and data-intensive evolutionary projects. Although recent tools offer improved performance over the gold standard BLASTX, they exhibit only a modest speedup or low sensitivity. We introduce DIAMOND, an open-source algorithm based on double indexing that is 20,000 times faster than BLASTX on short reads and has a similar degree of sensitivity.
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            Analyzing real-time PCR data by the comparative C(T) method.

            Two different methods of presenting quantitative gene expression exist: absolute and relative quantification. Absolute quantification calculates the copy number of the gene usually by relating the PCR signal to a standard curve. Relative gene expression presents the data of the gene of interest relative to some calibrator or internal control gene. A widely used method to present relative gene expression is the comparative C(T) method also referred to as the 2 (-DeltaDeltaC(T)) method. This protocol provides an overview of the comparative C(T) method for quantitative gene expression studies. Also presented here are various examples to present quantitative gene expression data using this method.
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              Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research.

              We present here Blast2GO (B2G), a research tool designed with the main purpose of enabling Gene Ontology (GO) based data mining on sequence data for which no GO annotation is yet available. B2G joints in one application GO annotation based on similarity searches with statistical analysis and highlighted visualization on directed acyclic graphs. This tool offers a suitable platform for functional genomics research in non-model species. B2G is an intuitive and interactive desktop application that allows monitoring and comprehension of the whole annotation and analysis process. Blast2GO is freely available via Java Web Start at http://www.blast2go.de. http://www.blast2go.de -> Evaluation.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                21 June 2022
                2022
                : 13
                : 930131
                Affiliations
                [1] 1State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences , Anyang, China
                [2] 2National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University , Wuhan, China
                [3] 3Department of Plant and Environmental Sciences, New Mexico State University , Las Cruces, NM, United States
                Author notes

                Edited by: Baohua Wang, Nantong University, China

                Reviewed by: Xinlian Shen, Jiangsu Academy of Agricultural Sciences (JAAS), China; Sun Guoqing, Chinese Academy of Agricultural Sciences, China

                *Correspondence: Zhongxu Lin, linzhongxu@ 123456mail.hzau.edu.cn

                This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2022.930131
                9253813
                4097131e-ba0b-45ec-9efd-06dfe375d7f0
                Copyright © 2022 Feng, Li, Zhang, Zhang, Zhang, Shahzad, Guo, Qi, Tang, Wang, Qiao, Lin, Xing and Wu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 April 2022
                : 02 June 2022
                Page count
                Figures: 8, Tables: 3, Equations: 0, References: 52, Pages: 12, Words: 7914
                Funding
                Funded by: Zhongyuan Academician Foundation
                Award ID: 212101510001
                Funded by: State Key Laboratory of Cotton Biology
                Award ID: CB2022C05
                Funded by: Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                cms-d8,restorer gene rf2,full-length transcript,novel isoforms,fusion transcript

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