Evidence map›Paper›PMID 24876298›Full record

ArticleAoB PLANTS2014

Learning from nature: the use of non-model species to identify novel acclimations to flooding stress.

L A C J Voesenek, H van Veen, R Sasidharan

Abstract read
In one paragraph

Article in AoB PLANTS, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  5. Transcriptional Response of TwoFrontiers in plant science · 2022
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  6. Review
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  8. Article
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  11. A new major-effect QTL for waterlogging tolerance in wild barley (H. spontaneum).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Article
  12. Article
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  14. 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

3 authors.

L A C J VoesenekInstitute of Environmental Biology, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands l.a.c.j.voesenek@uu.nl.
H van VeenInstitute of Environmental Biology, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands.
R SasidharanInstitute of Environmental Biology, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excess water in the form of waterlogged soil or deeper submergence (generically termed 'flooding') influences plant growth, survival and species distribution in many natural ecosystems. It also has a negative impact on crop growth and yield since many agricultural species are flooding intolerant. The often devastating effect of flooding on plant performance is related to its interference with gas exchange between the plant and its environment. This results in energy deficiency and carbohydrate starvation. In the near future, flooding frequency is expected to increase due to global climate change and the human population is expected to increase to ∼9 billion people by 2050. The need for increased agricultural productivity is self-evident and this will require a better mechanistic understanding of the interaction between plants and abiotic stresses such as flooding. We argue that, in seeking this understanding, we should not restrict the research to model species such as rice (Oryza sativa) and Arabidopsis (Arabidopsis thaliana). This is because some stress-tolerance mechanisms are not found in these species. Examples are given of how flooding tolerance is achieved by non-model species of Rumex and Rorippa that have evolved to cope with flooding in natural environments. These findings will add usefully to the spread of resources available to plant breeding programmes aimed at improving flooding tolerance in crop plants.

Indexed as

Abscisic acidclimate changeethylenefloodinglearning from natureRorippaRumexwaterlogging.

Identifiers

PMID24876298
PMCPMC4011469

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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.