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Identification of genetic locus with resistance to take-all in the wheat-Psathyrostachys huashanica Keng introgression line H148
BAI Sheng-sheng, ZHANG Han-bing, HAN Jing, WU Jian-hui, LI Jia-chuang, GENG Xing-xia, LÜ Bo-ya, XIE Song-feng, HAN De-jun, ZHAO Ji-xin, YANG Qun-hui, WU Jun, CHEN Xin-hong
2021, 20 (12): 3101-3113.   DOI: 10.1016/S2095-3119(20)63340-8
Abstract266)      PDF in ScienceDirect      
Take-all is a devastating soil-borne disease of wheat (Triticum aestivum L.).  Cultivating resistant line is an important measure to control this disease.  Psathyrostachys huashanica Keng is a valuable germplasm resource with high resistance to take-all.  This study reported on a wheat-P. huashanica introgression line H148 with improved take-all resistance compared with its susceptible parent 7182.  To elucidate the genetic mechanism of resistance in H148, the F2 genetic segregating population of H148×XN585 was constructed.  The mixed genetic model analysis showed that the take-all resistance was controlled by two major genes with additive, dominant and epistasis effects.  Bulked segregant analysis combined with wheat axiom 660K genotyping array analysis showed the polymorphic SNPs with take-all resistance from P. huashanica alien introgression were mainly distributed on the chromosome 2A.  Genotyping of the F2 population using the KASP marker mapped a major QTL in an interval of 68.8–70.1 Mb on 2AS.  Sixty-two genes were found in the target interval of the Chinese Spring reference genome sequence.  According to the functional annotation of genes, two protein genes that can improve the systematic resistance of plant roots were predicted as candidate genes.  The development of wheat-P. huashanica introgression line H148 and the resistant QTL mapping information are expected to provide some valuable references for the fine mapping of disease-resistance gene and development of take-all resistant varieties through molecular marker-assisted selection.
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Time-course transcriptomic information unravels the mechanisms of improved drought tolerance by drought-priming in wheat
Qing Li, Zhuangzhuang Sun, Zihan Jing, Xiao Wang, Chuan Zhong, Wenliang Wan, Maguje Masa Malko, Linfeng Xu, Zhaofeng Li, Qin Zhou, Jian Cai, Yingxin Zhong, Mei Huang, Dong Jiang
DOI: 10.1016/j.jia.2024.03.081 Online: 26 April 2024
Abstract56)      PDF in ScienceDirect      
Frequent drought events especially those occur in the reproductive stages severely restrict global crop productivity.  Moderate drought priming during the earlier growth stages is a promising strategy for plants to resist to recurrent severe drought stress.  However, the underlying mechanisms remain unclear.  Here, we subjected wheat plants to drought priming during the vegetative growth stage and to severe drought stress at 10 days after anthesis.  We then collected leaf samples at the ends of the drought priming, recovery periods, and at the ends of drought stress for transcriptome sequencing in combination with phenotypic and physiological determination.  The drought-primed wheat plant maintained a lower plant temperature, with higher stomatal openness and photosynthesis, thereby resulting in much less 1,000-grain weight and grain yield losses under the later drought stress than the non-primed plants.  Interestingly, 416 genes of which 27 transcription factors (e.g., MYB, NAC, HSF) seemed to be closely related to the improved drought tolerance as indicated by the dynamic transcriptome analysis.  Moreover, the candidate genes showed six temporal expression patterns and significantly enriched in several stress response related pathways such as plant hormone signal transduction, starch and sucrose metabolism, arginine and proline metabolism, inositol phosphate metabolism, and wax synthesis.  These findings illustrate new insights into physiological and molecular mechanisms of the long-term effects of early drought priming to effectively improve drought tolerance in wheat, which proved potential approaches to challenge the increasing abiotic stresses and secure food safety under global warming scenarios.
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