| Title |
Meta-analysis of major QTL for abiotic stress tolerance in barley and implications for barley breeding
|
|---|---|
| Published in |
Planta, October 2016
|
| DOI | 10.1007/s00425-016-2605-4 |
| Pubmed ID | |
| Authors |
Xuechen Zhang, Sergey Shabala, Anthony Koutoulis, Lana Shabala, Meixue Zhou |
| Abstract |
We 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. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 16% |
| Student > Master | 12 | 16% |
| Student > Bachelor | 9 | 12% |
| Researcher | 7 | 10% |
| Student > Doctoral Student | 4 | 5% |
| Other | 11 | 15% |
| Unknown | 18 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 55% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Environmental Science | 3 | 4% |
| Arts and Humanities | 1 | 1% |
| Social Sciences | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 19 | 26% |
Attention Score in Context
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#15,442,314
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#1,876
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#202,267
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Outputs of similar age from Planta
#9
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