scholarly journals Beyond the Type Genome: Discovery of Novel Avirulence Genes in the Rice Blast Fungus by Genomic Resequencing and Genetic Association Studies

2009 ◽  
Vol 21 (5) ◽  
pp. 1325-1325 ◽  
Author(s):  
Jennifer Mach
BMC Genetics ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 45 ◽  
Author(s):  
Ju Huang ◽  
Weina Si ◽  
Qiming Deng ◽  
Ping Li ◽  
Sihai Yang

2006 ◽  
Vol 277 (2) ◽  
pp. 139-148 ◽  
Author(s):  
Q. H. Chen ◽  
Y. C. Wang ◽  
A. N. Li ◽  
Z. G. Zhang ◽  
X. B. Zheng

2002 ◽  
Vol 68 (4) ◽  
pp. 300-306 ◽  
Author(s):  
Chao-Xi LUO ◽  
Hiromi HANAMURA ◽  
Hiroyo SEZAKI ◽  
Motoaki KUSABA ◽  
Hiroshi YAEGASHI

2011 ◽  
Vol 33 (6) ◽  
pp. 591-600
Author(s):  
Zhe ZHANG ◽  
Hua JIANG ◽  
Yan-Li WANG ◽  
Guo-Chang SUN

2000 ◽  
Vol 13 (2) ◽  
pp. 217-227 ◽  
Author(s):  
Waly Dioh ◽  
Didier Tharreau ◽  
Jean Loup Notteghem ◽  
Marc Orbach ◽  
Marc-Henri Lebrun

Three genetically independent avirulence genes, AVR1-Irat7, AVR1-MedNoï, and AVR1-Ku86, were identified in a cross involving isolates Guy11 and 2/0/3 of the rice blast fungus, Magnaporthe grisea. Using 76 random progeny, we constructed a partial genetic map with restriction fragment length polymorphism (RFLP) markers revealed by probes such as the repeated sequences MGL/MGR583 and Pot3/MGR586, cosmids from the M. grisea genetic map, and a telomere sequence oligonucleotide. Avirulence genes AVR1-MedNoï and AVR1-Ku86 were closely linked to te-lomere RFLPs such as marker TelG (6 cM from AVR1-MedNoï) and TelF (4.5 cM from AVR1-Ku86). Avirulence gene AVR1-Irat7 was linked to a cosmid RFLP located on chromosome 1 and mapped at 20 cM from the avirulence gene AVR1-CO39. Using bulked segregant analysis, we identified 11 random amplified polymorphic DNA (RAPD) markers closely linked (0 to 10 cM) to the avirulence genes segregating in this cross. Most of these RAPD markers corresponded to junction fragments between known or new transposons and a single-copy sequence. Such junctions or the whole sequences of single-copy RAPD markers were frequently absent in one parental isolate. Single-copy sequences from RAPD markers tightly linked to avirulence genes will be used for positional cloning.


2021 ◽  
pp. 103562
Author(s):  
Alice Bisola Eseola ◽  
Lauren S. Ryder ◽  
Míriam Osés-Ruiz ◽  
Kim Findlay ◽  
Xia Yan ◽  
...  

1994 ◽  
Vol 269 (5) ◽  
pp. 3755-3761 ◽  
Author(s):  
Y.L. Peng ◽  
Y. Shirano ◽  
H. Ohta ◽  
T. Hibino ◽  
K. Tanaka ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kevin K. Esoh ◽  
Tobias O. Apinjoh ◽  
Steven G. Nyanjom ◽  
Ambroise Wonkam ◽  
Emile R. Chimusa ◽  
...  

AbstractInferences from genetic association studies rely largely on the definition and description of the underlying populations that highlight their genetic similarities and differences. The clustering of human populations into subgroups (population structure) can significantly confound disease associations. This study investigated the fine-scale genetic structure within Cameroon that may underlie disparities observed with Cameroonian ethnicities in malaria genome-wide association studies in sub-Saharan Africa. Genotype data of 1073 individuals from three regions and three ethnic groups in Cameroon were analyzed using measures of genetic proximity to ascertain fine-scale genetic structure. Model-based clustering revealed distinct ancestral proportions among the Bantu, Semi-Bantu and Foulbe ethnic groups, while haplotype-based coancestry estimation revealed possible longstanding and ongoing sympatric differentiation among individuals of the Foulbe ethnic group, and their Bantu and Semi-Bantu counterparts. A genome scan found strong selection signatures in the HLA gene region, confirming longstanding knowledge of natural selection on this genomic region in African populations following immense disease pressure. Signatures of selection were also observed in the HBB gene cluster, a genomic region known to be under strong balancing selection in sub-Saharan Africa due to its co-evolution with malaria. This study further supports the role of evolution in shaping genomes of Cameroonian populations and reveals fine-scale hierarchical structure among and within Cameroonian ethnicities that may impact genetic association studies in the country.


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