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Meta-analysis of QTL associated with tolerance to abiotic stresses in barley

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Abstract

A meta-analysis of quantitative trait loci (QTL) associated with tolerance to abiotic stresses in barley was carried out using results from 35 different experiments. “MetaQTL” software was used to project QTL positions on a reference map. Three hundred and thirty-seven QTL for traits associated with tolerance to abiotic stresses were included in this analysis which identified 79 metaQTL (MQTL) including 26 for drought, 11 for low temperature, 22 for salinity, 17 for water-logging, and 3 for mineral toxicity and deficiency. The distribution of MQTL was similar to that of the initial QTL. Many of these MQTL were located on chromosomes 2H (mainly for water-logging and drought) and 5H (mainly for salinity and low temperature). It inferred that chromosomes 2H and 5H were important for researches on barley abiotic tolerance, and the genes associated with abiotic stresses were concentrated relatively. As expected from trait correlations, 22.8 % of these MQTL displayed overlapping CIs. These overlapping regions were mainly on chromosomes 1H, 2H and 4H. The results indicated that the tolerance to diverse abiotic stresses were associated with each other in barley. Additionally, 67 candidate genes responsive to abiotic stresses were co-located with the abiotic-stress MQTL. Of them, a total of 55 had different conserved motifs. It inferred that the tolerance to abiotic stresses was contributed by multi-genes with diverse functions, though there might be some important genes associated with the tolerance to abiotic stresses in barley. Additionally, of these candidate genes, scsnp02622, scsnp01644 and scsnp19641 could be better for further studies of abiotic stresses tolerance.

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Abbreviations

QTL:

Quantitative trait loci

MQTL:

Meta quantitative trait loci

MAS:

Marker-assisted selection

R2 :

The proportion of the phenotypic variance explained by the QTL

AIC:

Akaike information content

CI:

Confidence interval

DArT:

Diversity array technology

D-MQTL:

QTL for tolerance to drought stress

T-MQTL:

QTL for tolerance to low temperature stress

W-MQTL:

QTL for tolerance to water-logging stress

M-MQTL:

QTL for tolerance to mineral toxicity and deficiency

S-MQTL:

QTL for tolerance to salinity stress

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Acknowledgments

This work was supported by the National Basic Research Program of China (973 Program 2010CB134400), and the Program for Innovative Research Team in Sichuan (2011JTD0015 and 11TD005), and Excellent PhD. Program of Sichuan Agricultural University (YBPY1004).

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Authors and Affiliations

  1. Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China

    Wei-Tao Li, Ya-Xi Liu, Zhi-En Pu, Shou-Fen Dai, Ji-Rui Wang, Xiu-Jin Lan & Yu-Ming Wei

  2. CSIRO Plant Industry, 306 Carmody Road, St Lucia, QLD, 4067, Australia

    Chunji Liu

  3. Key Laboratory of Southwestern Crop Germplasm Utilization, Ministry of Agriculture, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China

    Wei-Tao Li & You-Liang Zheng

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  1. Wei-Tao Li
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Li, WT., Liu, C., Liu, YX. et al. Meta-analysis of QTL associated with tolerance to abiotic stresses in barley. Euphytica 189, 31–49 (2013). https://doi.org/10.1007/s10681-012-0683-3

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