Evidence map›Paper›PMID 34354811›Full record

ArticleAoB PLANTS2021

Transcriptome profiling of two rice genotypes under mild field drought stress during grain-filling stage.

Yuya Liang, Rodante E Tabien, Lee Tarpley, Abdul R Mohammed, Endang M Septiningsih

Abstract read
In one paragraph

Article in AoB PLANTS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Whole Genome Sequencing of the Moruga Hill Rice (Biotech (Basel (Switzerland)) · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Microorganisms · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Gene Expression in the Developing Seed of Wild and Domesticated Rice.International journal of molecular sciences · 2022
    Article
  19. Meta-analysis of QTLs and candidate genes associated with seed germination in rice (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Article
  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

5 authors.

Yuya LiangDepartment of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA.
Rodante E TabienTexas A&M Agrilife Research Center, Beaumont, TX 77713, USA.
Lee TarpleyTexas A&M Agrilife Research Center, Beaumont, TX 77713, USA.
Abdul R MohammedTexas A&M Agrilife Research Center, Beaumont, TX 77713, USA.
Endang M SeptiningsihDepartment of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought is one of the most critical abiotic stresses that threaten crop production worldwide. This stress affects the rice crop in all stages of rice development; however, the occurrence during reproductive and grain-filling stages has the most impact on grain yield. Although many global transcriptomic studies have been performed during the reproductive stage in rice, very limited information is available for the grain-filling stage. Hence, we intend to investigate how the rice plant responds to drought stress during the grain-filling stage and how the responses change over time under field conditions. Two rice genotypes were selected for RNA-seq analysis: '4610', previously reported as a moderately tolerant breeding line, and Rondo, an elite

Indexed as

Differentially expressed genes (DEGs)droughtgrain-filling stagerice (Oryza sativa)RNA-seq

Identifiers

PMID34354811
PMCPMC8331054

What OpenQuestion holds

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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.