Microsatellite DNA Markers Indicate Quantitative Trait Loci Controlling Resistance to Pea Root Rot Caused by Fusarium avenaceum (Corda ex Fries) Sacc

2012 ◽  
Vol 11 (4) ◽  
pp. 114-119 ◽  
Author(s):  
W.J. Li ◽  
J. Feng ◽  
K.F. Chang ◽  
R.L. Conner ◽  
S.F. Hwang ◽  
...  
2005 ◽  
Vol 76 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Aduli Enoch Othniel MALAU-ADULI ◽  
Tomomi NIIBAYASHI ◽  
Takatoshi KOJIMA ◽  
Kazunaga OSHIMA ◽  
Yasushi MIZOGUCHI ◽  
...  

2004 ◽  
Vol 44 (7) ◽  
pp. 669 ◽  
Author(s):  
W. Barendse ◽  
R. Bunch ◽  
M. Thomas ◽  
S. Armitage ◽  
S. Baud ◽  
...  

The TG5 (thyroglobulin 5′ leader sequence) single nucleotide polymorphism has been associated with marbling in cattle fed for periods longer than 250 days. To test whether the association could be detected in diverse cattle, fed for less than 250 days, and to measure the size of the effect, we sampled 1750 cattle from the AMH Toowoomba feedlot. These cattle were sampled on 28 separate days, over 9 months. Their marbling scores covered the complete range. We found that the TG5 single nucleotide polymorphism was associated with marbling scores (P<0.05) and estimated that TG5 genotypes explained 6.5% of the residual deviance for the marbling phenotype. We also found that the '3' allele was more frequent in animals with higher marbling scores. The consistency of the allelic association between studies and, in particular, the association found in diverse cattle, indicate that the TG5 polymorphism can be used as a breeding tool and possibly a feedlot entry tool. To estimate the size of the genetic region in which the marbling quantitative trait loci are located, we tested the nearby DNA markers CSSM66 and BMS1747. These do not show allelic associations to marbling. The consistency of the allelic association between studies, the lack of association to nearby DNA markers and the complementary information on gene action of genes near Thyroglobulin suggest that DNA sequence variations, in or near the Thyroglobulin gene sequence, are the likely causes for the marbling quantitative trait loci. Further studies of single nucleotide polymorphism in and near the Thyroglobulin DNA sequence should allow causal mutations for the effect to be identified.


2015 ◽  
Vol 154 (7) ◽  
pp. 1209-1217 ◽  
Author(s):  
A. BOONCHANAWIWAT ◽  
S. SRAPHET ◽  
S. WHANKAEW ◽  
O. BOONSENG ◽  
D. R. SMITH ◽  
...  

SUMMARYCassava (Manihot esculenta Crantz) is an economically important root crop in Thailand, which is ranked the world's top cassava exporting country. Production of cassava can be hampered by several pathogens and pests. Cassava anthracnose disease (CAD) is an important disease caused by the fungus Colletotrichum gloeosporioides f. sp. manihotis. The pathogen causes severe stem damage resulting in yield reductions and lack of stem cuttings available for planting. Molecular studies of cassava response to CAD will provide useful information for cassava breeders to develop new varieties with resistance to the disease. The current study aimed to identify quantitative trait loci (QTL) and DNA markers associated with resistance to CAD. A total of 200 lines of two F1 mapping populations were generated by reciprocal crosses between the varieties Huabong60 and Hanatee. The F1 samples were genotyped based on simple sequence repeat (SSR) and expressed sequence tag-SSR markers and a genetic linkage map was constructed using the JoinMap®/version3·0 program. The results showed that the map consisted of 512 marker loci distributed on 24 linkage groups with a map length of 1771·9 centimorgan (cM) and a mean interval between markers of 5·7 cM. The genetic linkage map was integrated with phenotypic data for the response to CAD infection generated by a detached leaf assay test. A total of three QTL underlying the trait were identified on three linkage groups using the MapQTL®/version4·0 program. Those DNA markers linked to the QTL that showed high statistically significant values with the CAD resistance trait were identified for gene annotation analysis and 23 candidate resistance genes to CAD infection were identified.


2011 ◽  
Vol 91 (1) ◽  
pp. 199-204 ◽  
Author(s):  
J. Feng ◽  
R. Hwang ◽  
K. F. Chang ◽  
R. L. Conner ◽  
S. F. Hwang ◽  
...  

Feng, J., Hwang, R., Chang, K. F., Conner, R. L., Hwang, S. F., Strelkov, S. E., Gossen, B. D., McLaren, D. L. and Xue, A. G. 2011. Identification of microsatellite markers linked to quantitative trait loci controlling resistance to Fusarium root rot in field pea. Can. J. Plant Sci. 91: 199–204. Fusarium root rot, caused by Fusarium solani (Mart.) Sacc. f. sp. pisi (F. R. Jones) W. C. Snyder & H. N. Hans, is the most common root disease of field pea (Pisum sativum L.) in western Canada. In this study, a recombinant inbred line (RIL) population (n=71) of field pea, derived from crosses between a resistant cultivar Carman, and a susceptible cultivar Reward, was evaluated to identify quantitative trait loci (QTL) controlling resistance to Fusarium root rot. The parental genotypes and RILs were evaluated for resistance to root rot following inoculation with F. solani in field experiments during 2007 and 2008. The frequency distribution of disease severities among the RILs was continuous. Transgressive segregation for resistance was observed among the RILs, with five lines more resistant than Carman, but no lines were more susceptible than Reward. To identify DNA markers linked with the resistance, 213 microsatellite markers were screened with genomic DNA from the two parental cultivars. Only 14 markers were polymorphic between the two parents and were used to genotype each of the RILs. Quantitative trait loci analysis based on the mean disease severity data from 2007 and 2008 identified a QTL that explained 39.0% of the phenotypic variance in the RIL population. This QTL is flanked by markers AA416 and AB60 on linkage group VII. The microsatellite markers that are closely linked to this QTL may be useful for marker assisted selection to develop cultivars with superior Fusarium root rot resistance.


2002 ◽  
Vol 106 (1) ◽  
pp. 28-39 ◽  
Author(s):  
M. Pilet-Nayel ◽  
F. Muehlbauer ◽  
R. McGee ◽  
J. Kraft ◽  
A. Baranger ◽  
...  

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