Evidence map›Paper›PMID 20582712›Full record

ReviewFunctional & integrative genomics2010

Functional genomics of soybean for improvement of productivity in adverse conditions.

Lam-Son Phan Tran, Keiichi Mochida

Abstract readReview
PubMed Publisher
In one paragraph

Review in Functional & integrative genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
12.8field-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

40 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
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  3. Article
  4. Twenty years of mining salt tolerance genes in soybean.Molecular breeding : new strategies in plant improvement · 2023
    Article
  5. Review
  6. An EfficientInternational journal of molecular sciences · 2022
    Article
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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

2 authors at 1 institution in 1 country.

Lam-Son Phan TranRIKEN Plant Science Center, Tsurumi, Yokohama 230-0045, Japan. tran@psc.riken.jp
Keiichi Mochida
RIKEN Center for Sustainable Resource Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global soybean production is frequently impacted by various stresses, including both abiotic and biotic stresses. To develop soybean plants with enhanced tolerance to different stressors, functional genomics of soybean and a comprehensive understanding of available biotechnological resources and approaches are essential. In this review, we will discuss recent advances in soybean functional genomics which provide unprecedented opportunities to understand global patterns of gene expression, gene regulatory networks, various physiological, biochemical, and metabolic pathways as well as their association with the development of specific phenotypes. Soybean functional genomics, therefore, will ultimately enable us to develop new soybean varieties with improved productivity under adverse conditions by genetic engineering.

Indexed as

Crops, AgriculturalPlants, Genetically ModifiedAnimalsDatabases, FactualGene Expression Regulation, PlantGenetic EngineeringGenomicsGlycine maxHumansQuantitative Trait LociTissue Distribution

Identifiers

PMID20582712
OpenAlexW2026199556

What OpenQuestion holds

Textmetadata
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.