Evidence map›Paper›PMID 27730410›Full record

SynthesisPlanta2017

Meta-analysis of major QTL for abiotic stress tolerance in barley and implications for barley breeding.

Xuechen Zhang, Sergey Shabala, Anthony Koutoulis, Lana Shabala, Meixue Zhou

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Planta, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 8 pooled it
14.4field-weighted citation impact, top 2% 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

54 citing papers in PubMed, 8 syntheses or guidelines pooled it, 111 citations in OpenAlex.

  1. Dissection of QTLs underlying the genetic basis of drought resistance in wheat: a meta-analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  14. Genome-wide meta-QTL approach identifies consensus loci associated with agriculturally important tomato fruit traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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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

5 authors at 1 institution in 1 country.

Xuechen ZhangSchool of Land and Food, University of Tasmania, P.O. Box 46, Kings Meadows, Tasmania, TAS 7249, Australia.
Sergey ShabalaSchool of Land and Food, University of Tasmania, P.O. Box 46, Kings Meadows, Tasmania, TAS 7249, Australia.
Anthony KoutoulisSchool of Biological Sciences, University of Tasmania, Private Bag 55, Hobart, TAS 7001, Australia.
Lana ShabalaSchool of Land and Food, University of Tasmania, P.O. Box 46, Kings Meadows, Tasmania, TAS 7249, Australia.
Meixue ZhouSchool of Land and Food, University of Tasmania, P.O. Box 46, Kings Meadows, Tasmania, TAS 7249, Australia. Meixue.Zhou@utas.edu.au.ORCID http://orcid.org/0000-0003-3009-7854
University of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MAIN

conclusionWe projected meta-QTL (MQTL) for drought, salinity, and waterlogging tolerance to the physical map of barley through meta-analysis. The positions of these MQTL were refined and candidate genes were identified. Drought, salinity and waterlogging are three major abiotic stresses limiting barley yield worldwide. Breeding for abiotic stress-tolerant crops has drawn increased attention, and a large number of quantitative trait loci (QTL) for drought, salinity, and waterlogging tolerance in barley have been detected. However, very few QTL have been successfully used in marker-assisted selection (MAS) in breeding. In this study, we summarized 632 QTL for drought, salinity and waterlogging tolerance in barley. Among all these QTL, only 195 major QTL were used to conduct meta-analysis to refine QTL positions for MAS. Meta-analysis was used to map the summarized major QTL for drought, salinity, and waterlogging tolerance from different mapping populations on the barley physical map. The positions of identified meta-QTL (MQTL) were used to search for candidate genes for drought, salinity, and waterlogging tolerance in barley. Both MQTL3H.4 and MQTL6H.2 control drought tolerance in barley. Fine-mapped QTL for salinity tolerance, HvNax4 and HvNax3, were validated on MQTL1H.4 and MQTL7H.2, respectively. MQTL2H.1 and MQTL5H.3 were also the target regions for improving salinity tolerance in barley. MQTL4H.4 is the main region controlling waterlogging tolerance in barley with fine-mapped QTL for aerenchyma formation under waterlogging conditions. Detected and refined MQTL and candidate genes are crucial for future successful MAS in barley breeding.

Indexed as

Quantitative Trait LociDroughtsGenetic MarkersHordeumPlant BreedingReproducibility of ResultsSalinitySelection, GeneticStress, PhysiologicalGenetic MarkersBarleyDroughtMeta-analysisSalinityWaterlogging

Identifiers

PMID27730410
OpenAlexW2529947233

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.