Evidence map›Paper›PMID 24684805›Full record

ArticleBMC plant biology2014

Identification of candidate genes for drought tolerance by whole-genome resequencing in maize.

Jie Xu, Yibing Yuan, Yunbi Xu, Gengyun Zhang, Xiaosen Guo, Fengkai Wu, Qi Wang, Tingzhao Rong, Guangtang Pan, Moju Cao and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
10.3field-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

51 citing papers in PubMed, 114 citations in OpenAlex.

  1. Article
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  7. Article
  8. Non-Coding RNAs in Response to Drought Stress.International journal of molecular sciences · 2021
    Review
  9. Identification of alkali-tolerant candidate genes using the NGS-assisted BSA strategy in rice.Molecular breeding : new strategies in plant improvement · 2021
    Article
  10. Review
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  14. Article
  15. Screening for Drought Tolerance in Maize (Plants (Basel, Switzerland) · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Research Progress and Perspective on Drought Stress in Legumes: A Review.International journal of molecular sciences · 2019
    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

16 authors at 3 institutions in 3 countries.

Jie Xu
Yibing Yuan
Yunbi Xu
Gengyun Zhang
Xiaosen Guo
Fengkai Wu
Qi Wang
Tingzhao Rong
Guangtang Pan
Moju Cao
Qilin Tang
Shibin Gao
Yaxi Liu
Jing Wang
Hai Lan
Yanli LuMaize Research Institute, Sichuan Agricultural University, Wenjiang 611130 Sichuan, China. yanli.lu82@hotmail.com.
Sichuan Agricultural University · CNBGI Group (China) · CNCentro Internacional de Mejoramiento de Maíz Y Trigo · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrought stress is one of the major limiting factors for maize production. With the availability of maize B73 reference genome and whole-genome resequencing of 15 maize inbreds, common variants (CV) and clustering analyses were applied to identify non-synonymous SNPs (nsSNPs) and corresponding candidate genes for drought tolerance.

resultsA total of 524 nsSNPs that were associated with 271 candidate genes involved in plant hormone regulation, carbohydrate and sugar metabolism, signaling molecules regulation, redox reaction and acclimation of photosynthesis to environment were detected by CV and cluster analyses. Most of the nsSNPs identified were clustered in bin 1.07 region that harbored six previously reported QTL with relatively high phenotypic variation explained for drought tolerance. Genes Ontology (GO) analysis of candidate genes revealed that there were 35 GO terms related to biotic stimulus and membrane-bounded organelle, showing significant differences between the candidate genes and the reference B73 background. Changes of expression level in these candidate genes for drought tolerance were detected using RNA sequencing for fertilized ovary, basal leaf meristem tissue and roots collected under drought stressed and well-watered conditions. The results indicated that 70% of candidate genes showed significantly expression changes under two water treatments and our strategies for mining candidate genes are feasible and relatively efficient.

conclusionsOur results successfully revealed candidate nsSNPs and associated genes for drought tolerance by comparative sequence analysis of 16 maize inbred lines. Both methods we applied were proved to be efficient for identifying candidate genes for complex traits through the next-generation sequencing technologies (NGS). These selected genes will not only facilitate understanding of genetic basis of drought stress response, but also accelerate genetic improvement through marker-assisted selection in maize.

Indexed as

Genetic Association StudiesAdaptation, PhysiologicalChromosomes, PlantCluster AnalysisDehydrationDroughtsGene OntologyGenes, PlantGenome, PlantGenotypeInbreedingNucleic Acid DenaturationPolymerase Chain ReactionPolymorphism, Single NucleotideQuantitative Trait LociReproducibility of ResultsRNA, Messenger

Identifiers

PMID24684805
PMCPMC4021222
OpenAlexW2040179368

What OpenQuestion holds

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LicenceCC BY
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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.