Evidence map›Paper›PMID 27229732›Full record

ArticleJournal of experimental botany2016

Overexpression of wheat gene TaMOR improves root system architecture and grain yield in Oryza sativa.

Bo Li, Dan Liu, Qiaoru Li, Xinguo Mao, Ang Li, Jingyi Wang, Xiaoping Chang, Ruilian Jing

Abstract read
In one paragraph

Article in Journal of experimental botany, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Genome-Wide Analysis Elucidates the Roles ofInternational journal of molecular sciences · 2024
    Article
  6. Review
  7. Regulation of root growth and elongation in wheat.Frontiers in plant science · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Genome-Wide Identification ofInternational journal of molecular sciences · 2023
    Article
  12. Article
  13. Article
  14. Cassava (Frontiers in plant science · 2022
    Article
  15. Transcriptomic analysis reveals the contribution ofFrontiers in plant science · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genomic and Phenotypic Divergence in Wild Barley Driven by Microgeographic Adaptation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    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.

Bo LiNational Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Dan LiuNational Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Qiaoru LiNational Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Xinguo MaoNational Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Ang LiNational Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Jingyi WangNational Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Xiaoping ChangNational Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Ruilian JingNational Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China jingruilian@caas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improved root architecture is an effective strategy to increase crop yield. We demonstrate that overexpression of transcription factor gene MORE ROOT (TaMOR) from wheat (Triticum aestivum L.) results in more roots and higher grain yield in rice (Oryza sativa). TaMOR, encoding a plant-specific transcription factor belonging to the ASYMMETRIC LEAVES2/LATERAL ORGAN BOUNDARIES (AS2/LOB) protein family, is highly conserved in wheat and its wild relatives. In this study, tissue expression patterns indicated that TaMOR mainly localizes to root initiation sites. The consistent gene expression pattern suggests that TaMOR is involved in root initiation. Exogenous auxin treatment induced TaMOR expression without de novo protein biosynthesis. Both in vivo and in vitro experiments demonstrated that TaMOR interacts with TaMOR-related protein TaMRRP, which contains a four-tandem-pentatricopeptide repeat motif. Overexpression of TaMOR led to more lateral roots in Arabidopsis thaliana, and TaMOR-overexpressing rice plants had more crown roots, a longer main panicle, a higher number of primary branches on the main panicle, a higher grain number per plant, and higher yield per plant than the plants of wild type. In general, TaMOR-D-overexpressing lines had larger root systems in Arabidopsis and rice, and produce a higher grain yield per plant. TaMOR therefore offers an opportunity to improve root architecture and increase yield in crop plants.

Indexed as

ArabidopsisCloning, MolecularCrop ProductionGene Expression Regulation, PlantGenes, PlantOryzaPlant RootsPlants, Genetically ModifiedSeedsSequence AlignmentSequence Analysis, DNATranscription FactorsTriticumTwo-Hybrid System TechniquesTranscription FactorsAS2/LOB proteingrain yieldroot architectureroot initiationTaMORTaMRRP.

Identifiers

PMID27229732
PMCPMC5301925

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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.