Molecular mapping of wilt resistance genes in chickpea

Gowda, Manje; Radhika, P.; Kadoo, Narendra Y.; Mhase, L. B.; Gupta, Vidya S.

doi:10.1007/s11032-009-9282-y

Cited by 90 publications

(82 citation statements)

References 22 publications

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“…In such situation, a low level of polymorphism in the population is expected, except for markers associated with resistance genes. Such a very low level of polymorphism was also reported in previous studies of Radhika et al (2007) (9.5% and 11.57%), Gowda et al (2009) (13.45%) and Nayak et al (2010) (16.7%).…”

Section: Resultssupporting

confidence: 84%

“…STMS marker TA 27 is the common flanking marker for both the QTLs. TA27 was one of the flanking markers for foc3-foc5 cluster, while TA110 was one of the flanking markers for foc1 (Gowda et al 2009). The QTL for early wilt resistance (at 30 DAS) covered a distance of 5.4 cM and explained 36% of phenotypic variation, whereas the interval length for QTL associated with LG IV 48.5 4 12.12…”

Section: Resultsmentioning

confidence: 99%

“…In recent studies (Gurjar et al 2012;Soregaon & Ravikumar 2012), few other minor genes were implicated in chickpea defence against Fusarium wilt. Gowda et al (2009) identified new SSR markers H 3 A 12 and TA110 flanking the foc1 locus at 3.9 and 2.1 cM, respectively, while foc 2 was tagged with SSR markers TA96 and H 3 A 12 at a distance of 0.2 and 2.7 cM, respectively. Similarly, H 1 B06y and TA194 markers flanked the foc 3 locus at 0.2 and 0.7 cM, respectively.…”

mentioning

confidence: 97%

“…Later several studies on inter-and intraspecific recombinant inbred line (RIL) populations revealed that the resistance genes (foc1 and foc3, foc4 and foc5) against Fusarium wilt races 1, 3, 4 and 5 are organized in two adjacent resistance gene clusters on Linkage Group II (LG II). These two gene clusters are flanked by sequence-tagged microsatellite (STMS) markers GA16 and TA96 (foc1-foc4 cluster) and TA96 and TA27 (foc3-foc5 cluster), respectively (Winter et al 2000;Sharma & Muehlbauer 2007;Cobos et al 2009;Gowda et al 2009;Halila et al 2009). Halila et al (2009) located foc 0 2 /foc 0 2 in a region where genes for resistance to wilt races 1, 2, 3, 4 and 5 have previously been reported using data from two mapping populations (CA2139/JG62 and CA2156/JG62).…”

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confidence: 99%

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Molecular mapping of QTLs for resistance to early and late Fusarium wilt in chickpea

Patil¹,

Ravikumar²,

Bhat³

et al. 2014

Czech J. Genet. Plant Breed.

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Patil B.S., Ravikumar R.L., Bhat J.S., Soregaon C.D. (2014): Molecular mapping of QTLs for resistance to early and late Fusarium wilt in chickpea. Czech J. Genet. Plant Breed., 50: 171-176.A molecular map of chickpea was constructed using F 9 :F 10 recombinant inbred lines from an intraspecific cross between Fusarium wilt susceptible (JG 62) and resistant (WR 315) genotypes. A total of 23 markers with LOD scores of > 3.0 were mapped on the recombinant inbred lines (RILs). Twenty sequence tagged microsatellites (STMSs) and three amplified fragment length polymorphisms (AFLPs) covered 300.2 cM in five linkage groups at an average inter-marker distance of 13 cM. Early and late wilting due to Fusarium infection was recorded in RILs at 30 and 60 DAS, respectively. There was a significant variation among RILs for wilt resistance for both early and late wilting. QTLs associated with early (30 days after sowing (DAS)) and late (60 DAS) wilting are located on LG II. The flanking markers for these QTLs were the same as those of previous reports. Five STMS markers located on LG II of reference map (interspecific) were mapped on LG II of the present map (intraspecific) with minor changes in the order of markers indicating the conservation of these genomic regions across the Cicer species.

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Section: Resultssupporting

confidence: 84%

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 97%

mentioning

confidence: 99%

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Molecular mapping of QTLs for resistance to early and late Fusarium wilt in chickpea

Patil¹,

Ravikumar²,

Bhat³

et al. 2014

Czech J. Genet. Plant Breed.

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“…To date, several trait mapping studies have been conducted in the case of chickpea. However, most of these studies focussed on mapping biotic stresses like Fusarium wilt (Benko-Iseppon et al 2003;Cobos et al 2005;Gowda et al 2009; Sabbavarapu et al 2013), Aschochyta blight (Udupa and Baum 2003;Iruela et al 2006Iruela et al , 2007Anbessa et al 2009;Kottapalli et al 2009;Aryamanesh et al 2010) and Botrytis grey mould (Anuradha et al 2011), and agronomically important traits (Gowda et al 2011). Trait mapping studies have been discussed in detail in Varshney et al (2012a).…”

Section: Trait Mappingmentioning

confidence: 99%

Genomics-assisted breeding for drought tolerance in chickpea

Thudi

Gaur

Krishnamurthy

et al. 2014

Functional Plant Biol.

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Abstract.Terminal drought is one of the major constraints in chickpea (Cicer arietinum L.), causing more than 50% production losses. With the objective of accelerating genetic understanding and crop improvement through genomicsassisted breeding, a draft genome sequence has been assembled for the CDC Frontier variety. In this context, 544.73 Mb of sequence data were assembled, capturing of 73.8% of the genome in scaffolds. In addition, large-scale genomic resources including several thousand simple sequence repeats and several million single nucleotide polymorphisms, high-density diversity array technology (15 360 clones) and Illumina GoldenGate assay genotyping platforms, high-density genetic maps and transcriptome assemblies have been developed. In parallel, by using linkage mapping approach, one genomic region harbouring quantitative trait loci for several drought tolerance traits has been identified and successfully introgressed in three leading chickpea varieties (e.g. JG 11, Chefe, KAK 2) by using a marker-assisted backcrossing approach. A multilocation evaluation of these marker-assisted backcrossing lines provided several lines with 10-24% higher yield than the respective recurrent parents.Modern breeding approaches like marker-assisted recurrent selection and genomic selection are being deployed for enhancing drought tolerance in chickpea. Some novel mapping populations such as multiparent advanced generation intercross and nested association mapping populations are also being developed for trait mapping at higher resolution, as well as for enhancing the genetic base of chickpea. Such advances in genomics and genomics-assisted breeding will accelerate precision and efficiency in breeding for stress tolerance in chickpea.

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