Evidence map›Paper›PMID 22251627›Full record

ArticleBMC plant biology2012

Integration of gene-based markers in a pearl millet genetic map for identification of candidate genes underlying drought tolerance quantitative trait loci.

Deepmala Sehgal, Vengaldas Rajaram, Ian Peter Armstead, Vincent Vadez, Yash Pal Yadav, Charles Thomas Hash, Rattan Singh Yadav

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 108 citations in OpenAlex.

  1. Pearl millet response to drought: A review.Frontiers in plant science · 2023
    Pooled it
  2. Article
  3. Mapping QTLs forFrontiers in plant science · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Improvement of millets in the post-genomic era.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Exploitation of Heterosis in Pearl Millet: A Review.Plants (Basel, Switzerland) · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

7 authors at 5 institutions in 3 countries.

Deepmala SehgalInstitute of Biological, Environmental and Rural Sciences, Aberystwyth University, Gogerddan, Aberystwyth, Ceredigion, UK.
Vengaldas Rajaram
Ian Peter Armstead
Vincent Vadez
Yash Pal Yadav
Charles Thomas Hash
Rattan Singh Yadav
Institute of Biological, Environmental and Rural Sciences · GBInternational Crops Research Institute for the Semi-Arid Tropics · INAberystwyth University · GBChaudhary Charan Singh Haryana Agricultural University · INInternational Crops Research Institute for the Semi-Arid Tropics · ML

Funding

Biotechnology and Biological Sciences Research Council BB/F004133/1Biotechnology and Biological Sciences Research Council BB/F004133/1.
6 · The paper itself

Abstract

backgroundIdentification of genes underlying drought tolerance (DT) quantitative trait loci (QTLs) will facilitate understanding of molecular mechanisms of drought tolerance, and also will accelerate genetic improvement of pearl millet through marker-assisted selection. We report a map based on genes with assigned functional roles in plant adaptation to drought and other abiotic stresses and demonstrate its use in identifying candidate genes underlying a major DT-QTL.

resultsSeventy five single nucleotide polymorphism (SNP) and conserved intron spanning primer (CISP) markers were developed from available expressed sequence tags (ESTs) using four genotypes, H 77/833-2, PRLT 2/89-33, ICMR 01029 and ICMR 01004, representing parents of two mapping populations. A total of 228 SNPs were obtained from 30.5 kb sequenced region resulting in a SNP frequency of 1/134 bp. The positions of major pearl millet linkage group (LG) 2 DT-QTLs (reported from crosses H 77/833-2 × PRLT 2/89-33 and 841B × 863B) were added to the present consensus function map which identified 18 genes, coding for PSI reaction center subunit III, PHYC, actin, alanine glyoxylate aminotransferase, uridylate kinase, acyl-CoA oxidase, dipeptidyl peptidase IV, MADS-box, serine/threonine protein kinase, ubiquitin conjugating enzyme, zinc finger C- × 8-C × 5-C × 3-H type, Hd3, acetyl CoA carboxylase, chlorophyll a/b binding protein, photolyase, protein phosphatase1 regulatory subunit SDS22 and two hypothetical proteins, co-mapping in this DT-QTL interval. Many of these candidate genes were found to have significant association with QTLs of grain yield, flowering time and leaf rolling under drought stress conditions.

conclusionsWe have exploited available pearl millet EST sequences to generate a mapped resource of seventy five new gene-based markers for pearl millet and demonstrated its use in identifying candidate genes underlying a major DT-QTL in this species. The reported gene-based markers represent an important resource for identification of candidate genes for other mapped abiotic stress QTLs in pearl millet. They also provide a resource for initiating association studies using candidate genes and also for comparing the structure and function of distantly related plant genomes such as other Poaceae members.

Indexed as

Chromosome MappingDroughtsQuantitative Trait LociDNA, PlantExpressed Sequence TagsGene FrequencyGenetic MarkersGenotypePennisetumPolymorphism, Single NucleotideStress, PhysiologicalDNA, PlantGenetic Markers

Identifiers

PMID22251627
PMCPMC3287966
OpenAlexW1997879877

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.