Evidence map›Paper›PMID 25651931›Full record

ArticleBMC genomics2015

Using QTL mapping to investigate the relationships between abiotic stress tolerance (drought and salinity) and agronomic and physiological traits.

Yun Fan, Sergey Shabala, Yanling Ma, Rugen Xu, Meixue Zhou

Abstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  10. HvNCX, a prime candidate gene for the novel qualitative locus qS7.1 associated with salinity tolerance in barley.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
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  17. Genome-wide association study reveals a genomic region on 5AL for salinity tolerance in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
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  18. Article
  19. Conferring of drought tolerance in wheat (Frontiers in plant science · 2022
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  20. Identification of QTL for Stem Traits in Wheat (Frontiers in plant science · 2022
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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.

Yun FanUniversity of Tasmania, P.O. Box 46, Kings Meadows, TAS 7249, Australia. Yun.Fan@utas.edu.au.
Sergey ShabalaUniversity of Tasmania, P.O. Box 46, Kings Meadows, TAS 7249, Australia. Sergey.shabala@utas.edu.au.
Yanling MaUniversity of Tasmania, P.O. Box 46, Kings Meadows, TAS 7249, Australia. Yanling.ma@utas.edu.au.
Rugen XuBarley Research Institution of Yangzhou University, Yangzhou, 225009, China. rgxu@yzu.edu.cn.
Meixue ZhouUniversity of Tasmania, P.O. Box 46, Kings Meadows, TAS 7249, Australia. mzhou@utas.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrought and salinity are two major abiotic stresses that severely limit barley production worldwide. Physiological and genetic complexity of these tolerance traits has significantly slowed the progress of developing stress-tolerant cultivars. Marker-assisted selection (MAS) may potentially overcome this problem. In the current research, seventy two double haploid (DH) lines from a cross between TX9425 (a Chinese landrace variety with superior drought and salinity tolerance) and a sensitive variety, Franklin were used to identify quantitative trait loci (QTL) for drought and salinity tolerance, based on a range of developmental and physiological traits.

resultsTwo QTL for drought tolerance (leaf wilting under drought stress) and one QTL for salinity tolerance (plant survival under salt stress) were identified from this population. The QTL on 2H for drought tolerance determined 42% of phenotypic variation, based on three independent experiments. This QTL was closely linked with a gene controlling ear emergency. The QTL on 5H for drought tolerance was less affected by agronomic traits and can be effectively used in breeding programs. A candidate gene for this QTL on 5H was identified based on the draft barley genome sequence. The QTL for proline accumulation, under both drought and salinity stresses, were located on different positions to those for drought and salinity tolerance, indicating no relationship with plant tolerance to either of these stresses.

conclusionsUsing QTL mapping, the relationships between QTL for agronomic and physiological traits and plant drought and salinity tolerance were studied. A new QTL for drought tolerance which was not linked to any of the studied traits was identified. This QTL can be effectively used in breeding programs. It was also shown that proline accumulation under stresses was not necessarily linked with drought or salinity tolerance based on methods of phenotyping used in this experiment. The use of proline content in breeding programs can also be limited by the accuracy of phenotyping.

Indexed as

Adaptation, PhysiologicalBreedingChromosome MappingDroughtsHordeumPhenotypePlant LeavesQuantitative Trait LociSalinitySalt ToleranceStress, Physiological

Identifiers

PMID25651931
PMCPMC4320823

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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.