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Association mapping of dynamic developmental plant height in common wheat

文献类型： 外文期刊

作者： Zhang, Jianan 1 ; Hao, Chenyang 1 ; Ren, Qian 1 ; Chang, Xiaoping 1 ; Liu, Guiru 3 ; Jing, Ruilian 1 ;

作者机构： 1.Chinese Acad Agr Sci, Key Lab Crop Germplasm Resources & Utilizat, Minist Agr, Inst Crop Sci,Natl Key Facil Crop Gene Resources, Beijing 100081, Peoples R China

2.Hebei Acad Agr & Forestry Sci, Shijiazhuang 050031, Peoples R China

3.Agr Univ Hebei, Coll Agron, Baoding 071000, Peoples R China

关键词： Association mapping;Drought tolerance coefficient;Plant height;SSR marker;Triticum

期刊名称：PLANTA （ 影响因子：4.116； 五年影响因子：4.316 ）

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收录情况： SCI

摘要： Drought as a major abiotic stress often occurs from stem elongation to the grain filling stage of wheat in northern China. Plant height (PH) is a suitable trait to model the dissection of drought tolerance. The purposes of the present study were to validate molecular markers for PH developmental behavior and identify elite alleles of molecular markers. After the phenotyping of 154 accessions for PH dynamic development under well-watered (WW) and drought stressed (DS) conditions, and the genotyping of 60 SSR markers from six candidate chromosome regions related to PH found in our previous linkage mapping studies, both parameters PH and drought tolerance coefficient (DTC) calculated by the conditional analysis were used for association mapping. A total of 46 significant association signals (P & 0. 01) were identified in 23 markers, and phenotypic variation ranged from 7 to 50%. Among them, four markers Xgwm261-2D, Xgwm495-4B, Xbarc109-4B and Xcfd23-4D were detected under both water regimes. Furthermore, 10 markers were associated with DTC, and four with both parameters PH and DTC at the same plant development stage. The results revealed different allelic effects of associated markers; for example, the 155 bp Xgwm495-4B allele was associated with a reduced height of -11. 2 cm under DS and -15. 3 cm under WW, whereas the 167 bp allele exhibited increased height effects of 3. 9 and 8. 1 cm, respectively. This study demonstrates a strong power of joint association analysis and linkage mapping for the identification of important genes in wheat.

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