Evidence map›Paper›PMID 19545420›Full record

SynthesisBMC genomics2009

Improved resolution in the position of drought-related QTLs in a single mapping population of rice by meta-analysis.

Farkhanda S Khowaja, Gareth J Norton, Brigitte Courtois, Adam H Price

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 7 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

45 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  8. Article
  9. Review
  10. Article
  11. Meta-QTL mapping for wheat thousand kernel weight.Frontiers in plant science · 2024
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  12. Article
  13. Review
  14. 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
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  15. Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Molecular breeding : new strategies in plant improvement · 2022
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  16. Article
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  19. Meta-QTL analysis and identification of candidate genes for drought tolerance in bread wheat (Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    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

4 authors.

Farkhanda S KhowajaInstitute of Biological and Environmental Science, University of Aberdeen, Aberdeen, UK. khowajaf@agr.gc.ca
Gareth J Norton
Brigitte Courtois
Adam H Price

Funding

Biotechnology and Biological Sciences Research Council BB/C509931/1
6 · The paper itself

Abstract

backgroundMeta-analysis of QTLs combines the results of several QTL detection studies and provides narrow confidence intervals for meta-QTLs, permitting easier positional candidate gene identification. It is usually applied to multiple mapping populations, but can be applied to one. Here, a meta-analysis of drought related QTLs in the Bala x Azucena mapping population compiles data from 13 experiments and 25 independent screens providing 1,650 individual QTLs separated into 5 trait categories; drought avoidance, plant height, plant biomass, leaf morphology and root traits. A heat map of the overlapping 1 LOD confidence intervals provides an overview of the distribution of QTLs. The programme BioMercator is then used to conduct a formal meta-analysis at example QTL clusters to illustrate the value of meta-analysis of QTLs in this population.

resultsThe heat map graphically illustrates the genetic complexity of drought related traits in rice. QTLs can be linked to their physical position on the rice genome using Additional file 1 provided. Formal meta-analysis on chromosome 1, where clusters of QTLs for all trait categories appear close, established that the sd1 semi-dwarfing gene coincided with a plant height meta-QTL, that the drought avoidance meta-QTL was not likely to be associated with this gene, and that this meta-QTL was not pleiotropic with close meta-QTLs for leaf morphology and root traits. On chromosome 5, evidence suggests that a drought avoidance meta-QTL was pleiotropic with leaf morphology and plant biomass meta-QTLs, but not with meta-QTLs for root traits and plant height 10 cM lower down. A region of dense root QTL activity graphically visible on chromosome 9 was dissected into three meta-QTLs within a space of 35 cM. The confidence intervals for meta-QTLs obtained ranged from 5.1 to 14.5 cM with an average of 9.4 cM, which is approximately 180 genes in rice.

conclusionThe meta-analysis is valuable in providing improved ability to dissect the complex genetic structure of traits, and distinguish between pleiotropy and close linkage. It also provides relatively small target regions for the identification of positional candidate genes.

Indexed as

DroughtsQuantitative Trait LociChromosome MappingChromosomes, PlantGenes, PlantGenome, PlantOryzaPhenotypePlant RootsStress, Physiological

Identifiers

PMID19545420
PMCPMC2708188

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.