Evidence map›Paper›PMID 27853175›Full record

ArticleNature communications2016

Salinity tolerance loci revealed in rice using high-throughput non-invasive phenotyping.

Nadia Al-Tamimi, Chris Brien, Helena Oakey, Bettina Berger, Stephanie Saade, Yung Shwen Ho, Sandra M Schmöckel, Mark Tester, Sónia Negrão

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 1 pooled it
55.5field-weighted citation impact, top 1% 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

112 citing papers in PubMed, 1 synthesis or guideline pooled it, 262 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Genome-wide association mapping for salinity recovery of rice seedlings grown in hydroponic and field conditions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Genome-Wide Association Study of Body Conformation Traits in Tashi Goats (Animals : an open access journal from MDPI · 2024
    Article
  16. Article
  17. Genetic gains in IRRI's rice salinity breeding and elite panel development as a future breeding resource.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  18. Regulation of root growth and elongation in wheat.Frontiers in plant science · 2024
    Review
  19. Article
  20. Review

52 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 2 countries.

Nadia Al-TamimiKing Abdullah University of Science and Technology (KAUST), Division of Biological and Environmental Sciences and Engineering (BESE), Thuwal 23955-6900, Saudi Arabia.
Chris BrienUniversity of South Australia, Phenomics and Bioinformatics Research Centre, Adelaide, South Australia 5001, Australia.ORCID 0000-0003-0581-1817
Helena OakeyKing Abdullah University of Science and Technology (KAUST), Division of Biological and Environmental Sciences and Engineering (BESE), Thuwal 23955-6900, Saudi Arabia.
Bettina BergerUniversity of Adelaide, Australian Plant Phenomics Facility, The Plant Accelerator, Urrbrae, South Australia 5064, Australia.
Stephanie SaadeKing Abdullah University of Science and Technology (KAUST), Division of Biological and Environmental Sciences and Engineering (BESE), Thuwal 23955-6900, Saudi Arabia.
Yung Shwen HoKing Abdullah University of Science and Technology (KAUST), Division of Biological and Environmental Sciences and Engineering (BESE), Thuwal 23955-6900, Saudi Arabia.
Sandra M SchmöckelKing Abdullah University of Science and Technology (KAUST), Division of Biological and Environmental Sciences and Engineering (BESE), Thuwal 23955-6900, Saudi Arabia.
Mark TesterKing Abdullah University of Science and Technology (KAUST), Division of Biological and Environmental Sciences and Engineering (BESE), Thuwal 23955-6900, Saudi Arabia.ORCID 0000-0002-5085-8801
Sónia NegrãoKing Abdullah University of Science and Technology (KAUST), Division of Biological and Environmental Sciences and Engineering (BESE), Thuwal 23955-6900, Saudi Arabia.
King Abdullah University of Science and Technology · SAAustralian Centre for Plant Functional Genomics · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput phenotyping produces multiple measurements over time, which require new methods of analyses that are flexible in their quantification of plant growth and transpiration, yet are computationally economic. Here we develop such analyses and apply this to a rice population genotyped with a 700k SNP high-density array. Two rice diversity panels, indica and aus, containing a total of 553 genotypes, are phenotyped in waterlogged conditions. Using cubic smoothing splines to estimate plant growth and transpiration, we identify four time intervals that characterize the early responses of rice to salinity. Relative growth rate, transpiration rate and transpiration use efficiency (TUE) are analysed using a new association model that takes into account the interaction between treatment (control and salt) and genetic marker. This model allows the identification of previously undetected loci affecting TUE on chromosome 11, providing insights into the early responses of rice to salinity, in particular into the effects of salinity on plant growth and transpiration.

Indexed as

SalinityGene Expression Regulation, PlantGenetic MarkersGenome-Wide Association StudyHigh-Throughput Screening AssaysOryzaPlant ProteinsPlant TranspirationSalt ToleranceGenetic MarkersPlant Proteins

Identifiers

PMID27853175
PMCPMC5118543
OpenAlexW2563182213

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.