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      Combined transcriptomic and proteomic analysis reveals multiple pathways involved in self-pollen tube development and the potential roles of FviYABBY1 in self-incompatibility in Fragaria viridis

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          Abstract

          Fragaria viridis exhibits S-RNase-based gametophytic self-incompatibility, in which S-RNase is the major factor inhibiting pollen tube growth. However, the pathways involved in and the immediate causes of the inhibition of pollen tube growth remain unknown. Here, interactive RNA sequencing and proteome analysis revealed changes in the transcriptomic and proteomic profiles of F. viridis styles harvested at 0 and 24 h after self-pollination. A total of 2,181 differentially expressed genes and 200 differentially abundant proteins were identified during the pollen development stage of self-pollination. Differentially expressed genes and differentially abundant proteins associated with self-incompatible pollination were further mined, and multiple pathways were found to be involved. Interestingly, the expression pattern of the transcription factor FviYABBY1, which is linked to polar growth, differed from those of other genes within the same family. Specifically, FviYABBY1 expression was extremely high in pollen, and its expression trend in self-pollinated styles was consistent with that of S-RNase. Furthermore, FviYABBY1 interacted with S-RNase in a non-S haplotype way. Therefore, FviYABBY1 affects the expression of polar growth-related genes in self-pollen tubes and is positively regulated by S-RNase.

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            Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

            In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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              A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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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
                14 September 2022
                2022
                : 13
                : 927001
                Affiliations
                [1] 1Laboratory of Fruit Crop Biotechnology, College of Horticulture, Nanjing Agricultural University , Nanjing, China
                [2] 2Institute of Horticulture Research, Zhejiang Academy of Agricultural Sciences , Hangzhou, China
                [3] 3Institute of Botany, Jiangsu Province and Chinese Academy of Sciences , Nanjing, China
                [4] 4Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Institute of Pomology, Jiangsu Academy of Agricultural Sciences , Nanjing, China
                Author notes

                Edited by: Dayun Tao, Yunnan Academy of Agricultural Sciences, China

                Reviewed by: Igor Pacheco, Universidad de Chile, Chile; Hui Yuan, Shenyang Agricultural University, China

                *Correspondence: Yushan Qiao qiaoyushan@ 123456njau.edu.cn

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

                †These authors have contributed equally to this work

                Article
                10.3389/fpls.2022.927001
                9515988
                1bca0a3b-b20b-4a29-a184-de512967e3e1
                Copyright © 2022 Du, Ge, Wang, Wang, Ni, Xiao, Zhao, Zhao and Qiao.

                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
                : 23 April 2022
                : 17 August 2022
                Page count
                Figures: 8, Tables: 0, Equations: 0, References: 122, Pages: 18, Words: 11304
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                self-incompatibility,fviyabby1,transcriptome,proteome,fragaria viridis
                Plant science & Botany
                self-incompatibility, fviyabby1, transcriptome, proteome, fragaria viridis

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