ChloroSeq, an Optimized Chloroplast RNA-Seq Bioinformatic Pipeline, Reveals Remodeling of the Organellar Transcriptome Under Heat Stress

Although RNA-Seq has revolutionized transcript analysis, organellar transcriptomes are rarely assessed even when present in published datasets. Here, we describe the development and application of a rapid and convenient method, ChloroSeq, to delineate qualitative and quantitative features of chlorop...

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Main Authors: Benoît Castandet, Amber M. Hotto, Susan R. Strickler, David B. Stern
Format: Article
Language:English
Published: Oxford University Press 2016-09-01
Series:G3: Genes, Genomes, Genetics
Subjects:
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.116.030783
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author Benoît Castandet
Amber M. Hotto
Susan R. Strickler
David B. Stern
author_facet Benoît Castandet
Amber M. Hotto
Susan R. Strickler
David B. Stern
author_sort Benoît Castandet
collection DOAJ
description Although RNA-Seq has revolutionized transcript analysis, organellar transcriptomes are rarely assessed even when present in published datasets. Here, we describe the development and application of a rapid and convenient method, ChloroSeq, to delineate qualitative and quantitative features of chloroplast RNA metabolism from strand-specific RNA-Seq datasets, including processing, editing, splicing, and relative transcript abundance. The use of a single experiment to analyze systematically chloroplast transcript maturation and abundance is of particular interest due to frequent pleiotropic effects observed in mutants that affect chloroplast gene expression and/or photosynthesis. To illustrate its utility, ChloroSeq was applied to published RNA-Seq datasets derived from Arabidopsis thaliana grown under control and abiotic stress conditions, where the organellar transcriptome had not been examined. The most appreciable effects were found for heat stress, which induces a global reduction in splicing and editing efficiency, and leads to increased abundance of chloroplast transcripts, including genic, intergenic, and antisense transcripts. Moreover, by concomitantly analyzing nuclear transcripts that encode chloroplast gene expression regulators from the same libraries, we demonstrate the possibility of achieving a holistic understanding of the nucleus-organelle system. ChloroSeq thus represents a unique method for streamlining RNA-Seq data interpretation of the chloroplast transcriptome and its regulators.
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spelling doaj.art-2d85983c1f0e4ae0b1da8cff1d2781b52022-12-21T19:25:05ZengOxford University PressG3: Genes, Genomes, Genetics2160-18362016-09-01692817282710.1534/g3.116.03078314ChloroSeq, an Optimized Chloroplast RNA-Seq Bioinformatic Pipeline, Reveals Remodeling of the Organellar Transcriptome Under Heat StressBenoît CastandetAmber M. HottoSusan R. StricklerDavid B. SternAlthough RNA-Seq has revolutionized transcript analysis, organellar transcriptomes are rarely assessed even when present in published datasets. Here, we describe the development and application of a rapid and convenient method, ChloroSeq, to delineate qualitative and quantitative features of chloroplast RNA metabolism from strand-specific RNA-Seq datasets, including processing, editing, splicing, and relative transcript abundance. The use of a single experiment to analyze systematically chloroplast transcript maturation and abundance is of particular interest due to frequent pleiotropic effects observed in mutants that affect chloroplast gene expression and/or photosynthesis. To illustrate its utility, ChloroSeq was applied to published RNA-Seq datasets derived from Arabidopsis thaliana grown under control and abiotic stress conditions, where the organellar transcriptome had not been examined. The most appreciable effects were found for heat stress, which induces a global reduction in splicing and editing efficiency, and leads to increased abundance of chloroplast transcripts, including genic, intergenic, and antisense transcripts. Moreover, by concomitantly analyzing nuclear transcripts that encode chloroplast gene expression regulators from the same libraries, we demonstrate the possibility of achieving a holistic understanding of the nucleus-organelle system. ChloroSeq thus represents a unique method for streamlining RNA-Seq data interpretation of the chloroplast transcriptome and its regulators.http://g3journal.org/lookup/doi/10.1534/g3.116.030783Arabidopsis thalianachloroplastRNA-Seqheat stresstranscriptomenoncoding RNAsintronsRNA splicingRNA editing
spellingShingle Benoît Castandet
Amber M. Hotto
Susan R. Strickler
David B. Stern
ChloroSeq, an Optimized Chloroplast RNA-Seq Bioinformatic Pipeline, Reveals Remodeling of the Organellar Transcriptome Under Heat Stress
G3: Genes, Genomes, Genetics
Arabidopsis thaliana
chloroplast
RNA-Seq
heat stress
transcriptome
noncoding RNAs
introns
RNA splicing
RNA editing
title ChloroSeq, an Optimized Chloroplast RNA-Seq Bioinformatic Pipeline, Reveals Remodeling of the Organellar Transcriptome Under Heat Stress
title_full ChloroSeq, an Optimized Chloroplast RNA-Seq Bioinformatic Pipeline, Reveals Remodeling of the Organellar Transcriptome Under Heat Stress
title_fullStr ChloroSeq, an Optimized Chloroplast RNA-Seq Bioinformatic Pipeline, Reveals Remodeling of the Organellar Transcriptome Under Heat Stress
title_full_unstemmed ChloroSeq, an Optimized Chloroplast RNA-Seq Bioinformatic Pipeline, Reveals Remodeling of the Organellar Transcriptome Under Heat Stress
title_short ChloroSeq, an Optimized Chloroplast RNA-Seq Bioinformatic Pipeline, Reveals Remodeling of the Organellar Transcriptome Under Heat Stress
title_sort chloroseq an optimized chloroplast rna seq bioinformatic pipeline reveals remodeling of the organellar transcriptome under heat stress
topic Arabidopsis thaliana
chloroplast
RNA-Seq
heat stress
transcriptome
noncoding RNAs
introns
RNA splicing
RNA editing
url http://g3journal.org/lookup/doi/10.1534/g3.116.030783
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