Evidence map›Paper›PMID 32513102›Full record

ArticleBMC genomics2020

Coding and long non-coding RNAs provide evidence of distinct transcriptional reprogramming for two ecotypes of the extremophile plant Eutrema salsugineum undergoing water deficit stress.

Caitlin M A Simopoulos, Mitchell J R MacLeod, Solmaz Irani, Wilson W L Sung, Marc J Champigny, Peter S Summers, G Brian Golding, Elizabeth A Weretilnyk

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Adaptative Mechanisms of HalophyticFrontiers in plant science · 2022
    Review
  7. Article
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

8 authors at 2 institutions in 2 countries.

Caitlin M A SimopoulosDepartment of Biology, McMaster University, 1280 Main Street West, Hamilton, Canada.
Mitchell J R MacLeodDepartment of Biology, McMaster University, 1280 Main Street West, Hamilton, Canada.
Solmaz IraniDepartment of Biology, McMaster University, 1280 Main Street West, Hamilton, Canada.
Wilson W L SungDepartment of Biology, McMaster University, 1280 Main Street West, Hamilton, Canada.
Marc J ChampignyDepartment of Biology, McMaster University, 1280 Main Street West, Hamilton, Canada.
Peter S SummersDepartment of Biology, McMaster University, 1280 Main Street West, Hamilton, Canada.
G Brian GoldingDepartment of Biology, McMaster University, 1280 Main Street West, Hamilton, Canada.
Elizabeth A WeretilnykDepartment of Biology, McMaster University, 1280 Main Street West, Hamilton, Canada. weretil@mcmaster.ca.ORCID http://orcid.org/0000-0002-0399-6232
McMaster University · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe severity and frequency of drought has increased around the globe, creating challenges in ensuring food security for a growing world population. As a consequence, improving water use efficiency by crops has become an important objective for crop improvement. Some wild crop relatives have adapted to extreme osmotic stresses and can provide valuable insights into traits and genetic signatures that can guide efforts to improve crop tolerance to water deficits. Eutrema salsugineum, a close relative of many cruciferous crops, is a halophytic plant and extremophyte model for abiotic stress research.

resultsUsing comparative transcriptomics, we show that two E. salsugineum ecotypes display significantly different transcriptional responses towards a two-stage drought treatment. Even before visibly wilting, water deficit led to the differential expression of almost 1,100 genes for an ecotype from the semi-arid, sub-arctic Yukon, Canada, but only 63 genes for an ecotype from the semi-tropical, monsoonal, Shandong, China. After recovery and a second drought treatment, about 5,000 differentially expressed genes were detected in Shandong plants versus 1,900 genes in Yukon plants. Only 13 genes displayed similar drought-responsive patterns for both ecotypes. We detected 1,007 long non-protein coding RNAs (lncRNAs), 8% were only expressed in stress-treated plants, a surprising outcome given the documented association between lncRNA expression and stress. Co-expression network analysis of the transcriptomes identified eight gene clusters where at least half of the genes in each cluster were differentially expressed. While many gene clusters were correlated to drought treatments, only a single cluster significantly correlated to drought exposure in both ecotypes.

conclusionExtensive, ecotype-specific transcriptional reprogramming with drought was unexpected given that both ecotypes are adapted to saline habitats providing persistent exposure to osmotic stress. This ecotype-specific response would have escaped notice had we used a single exposure to water deficit. Finally, the apparent capacity to improve tolerance and growth after a drought episode represents an important adaptive trait for a plant that thrives under semi-arid Yukon conditions, and may be similarly advantageous for crop species experiencing stresses attributed to climate change.

Indexed as

BrassicaceaeCanadaDehydrationEcotypeGene Expression ProfilingGene Expression Regulation, PlantGene Regulatory NetworksPlant LeavesRNA, Long NoncodingRNA, MessengerRNA, PlantSalt-Tolerant PlantsSequence Analysis, RNAStress, PhysiologicalRNA, Long NoncodingRNA, MessengerRNA, PlantDrought stressEutrema salsugineumExtremophilelncRNAThellungiella salsugineaTranscriptome

Identifiers

PMID32513102
PMCPMC7278158
OpenAlexW3034045599

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.