scholarly journals Genome-wide SNP discovery for development of high-density genetic map and QTL mapping of ascochyta blight resistance in chickpea (Cicer arietinum L.)

2019 ◽  
Vol 132 (6) ◽  
pp. 1861-1872 ◽  
Author(s):  
Amit Deokar ◽  
Mandeep Sagi ◽  
Bunyamin Tar’an
2009 ◽  
Vol 119 (4) ◽  
pp. 757-765 ◽  
Author(s):  
Y. Anbessa ◽  
Bunyamin Taran ◽  
T. D. Warkentin ◽  
A. Tullu ◽  
A. Vandenberg

Genome ◽  
2007 ◽  
Vol 50 (1) ◽  
pp. 26-34 ◽  
Author(s):  
B. Tar’an ◽  
T.D. Warkentin ◽  
A. Tullu ◽  
A. Vandenberg

Ascochyta blight, caused by the fungus Ascochyta rabiei (Pass.) Lab., is one of the most devastating diseases of chickpea ( Cicer arietinum L.) worldwide. Research was conducted to map genetic factors for resistance to ascochyta blight using a linkage map constructed with 144 simple sequence repeat markers and 1 morphological marker (fc, flower colour). Stem cutting was used to vegetatively propagate 186 F2 plants derived from a cross between Cicer arietinum L. ‘ICCV96029’ and ‘CDC Frontier’. A total of 556 cutting-derived plants were evaluated for their reaction to ascochyta blight under controlled conditions. Disease reaction of the F1 and F2 plants demonstrated that the resistance was dominantly inherited. A Fain’s test based on the means and variances of the ascochyta blight reaction of the F3 families showed that a few genes were segregating in the population. Composite interval mapping identified 3 genomic regions that were associated with the reaction to ascochyta blight. One quantitative trait locus (QTL) on each of LG3, LG4, and LG6 accounted for 13%, 29%, and 12%, respectively, of the total estimated phenotypic variation for the reaction to ascochyta blight. Together, these loci controlled 56% of the total estimated phenotypic variation. The QTL on LG4 and LG6 were in common with the previously reported QTL for ascochyta blight resistance, whereas the QTL on LG3 was unique to the current population.


Plant Science ◽  
2014 ◽  
Vol 217-218 ◽  
pp. 47-55 ◽  
Author(s):  
Sukhjiwan Kaur ◽  
Rohan B.E. Kimber ◽  
Noel O.I. Cogan ◽  
Michael Materne ◽  
John W. Forster ◽  
...  

2020 ◽  
Vol 7 ◽  
Author(s):  
Syed Sab ◽  
Ramappa Lokesha ◽  
D. M. Mannur ◽  
Somasekhar ◽  
Kisan Jadhav ◽  
...  

2003 ◽  
Vol 107 (7) ◽  
pp. 1257-1265 ◽  
Author(s):  
H. Flandez-Galvez ◽  
P. K. Ades ◽  
R. Ford ◽  
E. C. K. Pang ◽  
P. W. J. Taylor

2015 ◽  
Vol 41 (10) ◽  
pp. 1510 ◽  
Author(s):  
Wei-Wei QIN ◽  
Yong-Xiang LI ◽  
Chun-Hui LI ◽  
Lin CHEN ◽  
Xun WU ◽  
...  
Keyword(s):  

2021 ◽  
Vol 22 (11) ◽  
pp. 5723
Author(s):  
Yuan-Yuan Xu ◽  
Sheng-Rui Liu ◽  
Zhi-Meng Gan ◽  
Ren-Fang Zeng ◽  
Jin-Zhi Zhang ◽  
...  

A high-density genetic linkage map is essential for genetic and genomic studies including QTL mapping, genome assembly, and comparative genomic analysis. Here, we constructed a citrus high-density linkage map using SSR and SNP markers, which are evenly distributed across the citrus genome. The integrated linkage map contains 4163 markers with an average distance of 1.12 cM. The female and male linkage maps contain 1478 and 2976 markers with genetic lengths of 1093.90 cM and 1227.03 cM, respectively. Meanwhile, a genetic map comparison demonstrates that the linear order of common markers is highly conserved between the clementine mandarin and Poncirus trifoliata. Based on this high-density integrated citrus genetic map and two years of deciduous phenotypic data, two loci conferring leaf abscission phenotypic variation were detected on scaffold 1 (including 36 genes) and scaffold 8 (including 107 genes) using association analysis. Moreover, the expression patterns of 30 candidate genes were investigated under cold stress conditions because cold temperature is closely linked with the deciduous trait. The developed high-density genetic map will facilitate QTL mapping and genomic studies, and the localization of the leaf abscission deciduous trait will be valuable for understanding the mechanism of this deciduous trait and citrus breeding.


Euphytica ◽  
2021 ◽  
Vol 217 (8) ◽  
Author(s):  
Peng Jin ◽  
Lihua Wang ◽  
Wenjie Zhao ◽  
Jian Zheng ◽  
Yi-Hong Wang ◽  
...  

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