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      Comparative metabolomics and transcriptomics provide new insights into florpyrauxifen-benzyl resistance in Echinochloa glabrescens

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          Abstract

          Echinochloa glabrescens Munro ex Hook. f. is a weed of the genus Echinocloa ( Echinocloa spp.) that occurs frequently in paddy fields, causing serious harm to rice production. Florpyrauxifen-benzyl (FPB) is a foliar-applied herbicide used to control Echinocloa spp. in paddy fields. However, in recent years, with the widespread use of FPB in rice production, FPB-resistant barnyard grasses have been reported. Here, we identified an FPB-resistant E. glabrescens population with a resistance index (RI) of 10.65 and conducted a comparative analysis using untargeted metabolomics and transcriptomics to investigate the differences between an FPB-resistant E. glabrescens population and a susceptible E. glabrescens population after treatment with the recommended field dose of FPB. Our results showed that the FPB-resistant E. glabrescens had 115 differentially accumulated metabolites (DAMs; 65 up-regulated and 50 down-regulated) and 6397 differentially expressed genes (DEGs; 65 up-regulated and 50 down-regulated) compared to the susceptible E. glabrescens. The analysis of DAMs and DEGs revealed that DAMs were significantly enriched in Glutathione metabolism, Arginine and proline metabolism, and Zeatin biosynthesis pathways, while DEGs were mainly enriched in carbon fixation in photosynthetic organisms, photosynthesis, cyanoamino acid metabolism and glutathione metabolism, etc. The glutathione metabolism pathway was found to be significantly enriched for both DEGs and DAMs. Within this pathway, the metabolites (spermine) and genes (GSTU8, GSTU18, GSTF1) may play a pivotal role in the resistance mechanism of FPB-resistant E. glabrescens. Furthermore, we demonstrated the presence of GST-mediated metabolic resistance in an FPB-resistant E. glabrescens population by using NBD-Cl. Overall, our study provides new insights into the underlying mechanisms of E. glabrescens resistance to FPB through a comparative analysis of untargeted metabolomics and transcriptomics. Additionally, we identified the GST-mediated metabolic resistance in an FPB-resistant E. glabrescens population, and screened for three candidate genes (GSTU8, GSTU18, GSTF1), which has significant implications for improving the weed management efficacy of FPB in rice production and guiding judicious herbicide usage.

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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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            featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.

            Next-generation sequencing technologies generate millions of short sequence reads, which are usually aligned to a reference genome. In many applications, the key information required for downstream analysis is the number of reads mapping to each genomic feature, for example to each exon or each gene. The process of counting reads is called read summarization. Read summarization is required for a great variety of genomic analyses but has so far received relatively little attention in the literature. We present featureCounts, a read summarization program suitable for counting reads generated from either RNA or genomic DNA sequencing experiments. featureCounts implements highly efficient chromosome hashing and feature blocking techniques. It is considerably faster than existing methods (by an order of magnitude for gene-level summarization) and requires far less computer memory. It works with either single or paired-end reads and provides a wide range of options appropriate for different sequencing applications. featureCounts is available under GNU General Public License as part of the Subread (http://subread.sourceforge.net) or Rsubread (http://www.bioconductor.org) software packages.
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              clusterProfiler 4.0: A universal enrichment tool for interpreting omics data

              Summary Functional enrichment analysis is pivotal for interpreting high-throughput omics data in life science. It is crucial for this type of tool to use the latest annotation databases for as many organisms as possible. To meet these requirements, we present here an updated version of our popular Bioconductor package, clusterProfiler 4.0. This package has been enhanced considerably compared with its original version published 9 years ago. The new version provides a universal interface for functional enrichment analysis in thousands of organisms based on internally supported ontologies and pathways as well as annotation data provided by users or derived from online databases. It also extends the dplyr and ggplot2 packages to offer tidy interfaces for data operation and visualization. Other new features include gene set enrichment analysis and comparison of enrichment results from multiple gene lists. We anticipate that clusterProfiler 4.0 will be applied to a wide range of scenarios across diverse organisms.
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                Author and article information

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                URI : https://loop.frontiersin.org/people/720367Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2305683Role: Role: Role: Role: Role: Role:
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                03 July 2024
                2024
                : 15
                : 1392460
                Affiliations
                [1] State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute , Hangzhou, China
                Author notes

                Edited by: Koji Miyamoto, Teikyo University, Japan

                Reviewed by: Rafaqat Ali Gill, Lushan Botanical Garden (CAS), China

                Guoqi Chen, Yangzhou University, China

                *Correspondence: Xiaoyue Yu, yuxiaoyue@ 123456caas.cn ; Yongliang Lu, luyongliang@ 123456caas.cn

                †These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fpls.2024.1392460
                11253777
                39022606
                947ee576-e6c4-43f6-babd-9b9cd0fb081a
                Copyright © 2024 Jin, Xie, Tang, Yang, Zhang, Yu and Lu

                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 February 2024
                : 10 June 2024
                Page count
                Figures: 5, Tables: 0, Equations: 1, References: 72, Pages: 14, Words: 7584
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was financially supported by the National Key Research and Development Program (2023YFD1401100), the China Agriculture Research System CAAS (CARS-01), the Rice Pest Management Research Group of the Agricultural Science and the Technology Innovation Program of the China Academy of Agricultural Science, Zhejiang Science and Technology Major Program on Rice New Variety Breeding (2021C02063-3) and Project of new rice breeding and key planting technology (JXNK202301-04).
                Categories
                Plant Science
                Original Research
                Custom metadata
                Plant Metabolism and Chemodiversity

                Plant science & Botany
                echinochloa glabrescens,florpyrauxifen-benzyl,metabolomics,transcriptomics,resistance,barnyard grass,herbicide

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