Evidence map›Paper›PMID 27402360›Full record

ArticleG3 (Bethesda, Md.)2016

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

Benoît Castandet, Amber M Hotto, Susan R Strickler, David B Stern

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. The chloroplast RNA-binding protein CP29A supportsProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. RNA Editing in Chloroplast: Advancements and Opportunities.Current issues in molecular biology · 2022
    Review
  13. Organellar transcripts dominate the cellular mRNA pool across plants of varying ploidy levels.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. Article
  15. Article
  16. CAF Proteins Help SOT1 Regulate the Stability of ChloroplastInternational journal of molecular sciences · 2021
    Article
  17. Article
  18. Review
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Benoît CastandetBoyce Thompson Institute, Ithaca, New York 14853-1801.
Amber M HottoBoyce Thompson Institute, Ithaca, New York 14853-1801.
Susan R StricklerBoyce Thompson Institute, Ithaca, New York 14853-1801.ORCID 0000-0002-0121-0048
David B SternBoyce Thompson Institute, Ithaca, New York 14853-1801 ds28@cornell.edu.ORCID 0000-0002-0653-6602

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

ArabidopsisChloroplastsComputational BiologyHeat-Shock ResponseHot TemperatureRNA, ChloroplastTranscriptomeRNA, ChloroplastArabidopsis thalianachloroplastheat stressintronsnoncoding RNAsRNA editingRNA-SeqRNA splicingtranscriptome

Identifiers

PMID27402360
PMCPMC5015939

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.