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Featured researches published by Siva K. Chamarthi.


The Plant Genome | 2014

Marker-Assisted Backcrossing to Introgress Resistance to Fusarium Wilt Race 1 and Ascochyta Blight in C 214, an Elite Cultivar of Chickpea

Rajeev K. Varshney; S.M. Mohan; Pooran M. Gaur; Siva K. Chamarthi; Vikas K. Singh; Samineni Srinivasan; N. Swapna; Mamta Sharma; Sarvjeet Singh; Livinder Kaur; S. Pande

Fusarium wilt (FW) and Ascochyta blight (AB) are two major constraints to chickpea (Cicer arietinum L.) production. Therefore, two parallel marker‐assisted backcrossing (MABC) programs by targeting foc1 locus and two quantitative trait loci (QTL) regions, ABQTL‐I and ABQTL‐II, were undertaken to introgress resistance to FW and AB, respectively, in C 214, an elite cultivar of chickpea. In the case of FW, foreground selection (FGS) was conducted with six markers (TR19, TA194, TAA60, GA16, TA110, and TS82) linked to foc1 in the cross C 214 × WR 315 (FW‐resistant). On the other hand, eight markers (TA194, TR58, TS82, GA16, SCY17, TA130, TA2, and GAA47) linked with ABQTL‐I and ABQTL‐II were used in the case of AB by deploying C 214 × ILC 3279 (AB‐resistant) cross. Background selection (BGS) in both crosses was employed with evenly distributed 40 (C 214 × WR 315) to 43 (C 214 × ILC 3279) SSR markers in the chickpea genome to select plant(s) with higher recurrent parent genome (RPG) recovery. By using three backcrosses and three rounds of selfing, 22 BC3F4 lines were generated for C 214 × WR 315 cross and 14 MABC lines for C 214 × ILC 3279 cross. Phenotyping of these lines has identified three resistant lines (with 92.7–95.2% RPG) to race 1 of FW, and seven resistant lines (with 81.7–85.40% RPG) to AB that may be tested for yield and other agronomic traits under multilocation trials for possible release and cultivation.


Plant Biotechnology Journal | 2012

Large-scale development of cost-effective SNP marker assays for diversity assessment and genetic mapping in chickpea and comparative mapping in legumes

Pavana J Hiremath; Ashish Kumar; Ramachandra Varma Penmetsa; Andrew D. Farmer; Jessica A. Schlueter; Siva K. Chamarthi; Adam M. Whaley; Noelia Carrasquilla-Garcia; Pooran M. Gaur; Hari D. Upadhyaya; Polavarapu B. Kavi Kishor; Trushar Shah; Douglas R. Cook; Rajeev K. Varshney

A set of 2486 single nucleotide polymorphisms (SNPs) were compiled in chickpea using four approaches, namely (i) Solexa/Illumina sequencing (1409), (ii) amplicon sequencing of tentative orthologous genes (TOGs) (604), (iii) mining of expressed sequence tags (ESTs) (286) and (iv) sequencing of candidate genes (187). Conversion of these SNPs to the cost-effective and flexible throughput Competitive Allele Specific PCR (KASPar) assays generated successful assays for 2005 SNPs. These marker assays have been designated as Chickpea KASPar Assay Markers (CKAMs). Screening of 70 genotypes including 58 diverse chickpea accessions and 12 BC3F2 lines showed 1341 CKAMs as being polymorphic. Genetic analysis of these data clustered chickpea accessions based on geographical origin. Genotyping data generated for 671 CKAMs on the reference mapping population (Cicer arietinum ICC 4958 × Cicer reticulatum PI 489777) were compiled with 317 unpublished TOG-SNPs and 396 published markers for developing the genetic map. As a result, a second-generation genetic map comprising 1328 marker loci including novel 625 CKAMs, 314 TOG-SNPs and 389 published marker loci with an average inter-marker distance of 0.59 cM was constructed. Detailed analyses of 1064 mapped loci of this second-generation chickpea genetic map showed a higher degree of synteny with genome of Medicago truncatula, followed by Glycine max, Lotus japonicus and least with Vigna unguiculata. Development of these cost-effective CKAMs for SNP genotyping will be useful not only for genetics research and breeding applications in chickpea, but also for utilizing genome information from other sequenced or model legumes.


The Plant Genome | 2013

Fast-track introgression of “QTL-hotspot” for root traits and other drought tolerance traits in JG 11, an elite and leading variety of chickpea

Rajeev K. Varshney; Pooran M. Gaur; Siva K. Chamarthi; L. Krishnamurthy; Shailesh Tripathi; Junichi Kashiwagi; Srinivasan Samineni; Vikas K. Singh; Mahendar Thudi; Deepa Jaganathan

A “QTL‐hotspot” containing quantitative trait loci (QTL) for several root and drought tolerance traits was transferred through marker‐assisted backcrossing into JG 11, a leading variety of chickpea (Cicer arietinum L.) in India from the donor parent ICC 4958. Foreground selection with up to three simple sequence repeat markers, namely TAA170, ICCM0249, and STMS11, and background selection with up to 10 amplified fragment length polymorphism primer combinations was undertaken. After undertaking three backcrosses with foreground and background selection and selfing, 29 BC3F2 plants homozygous for two markers (ICCM0249 and TAA170) were selected and referred as introgression lines (ILs). Root trait phenotyping of these ILs showed higher rooting depth (RDp) (average 115.21 ± 2.24 cm) in all 29 ILs, better root length density (RLD) (average 0.41 ± 0.02 cm cm−3) in 26 ILs, and higher root dry weight (RDW) (average 1.25 ± 0.08 g per cylinder) as compared to the recurrent parent, JG 11 (111.70 cm for RDp, 0.39 cm cm−3 for RLD, and 1.10 g per cylinder for RDW), as well as the donor parent, ICC 4958 (114.20 cm for RDp, 0.45 cm cm−3 for RLD, and 1.25 g per cylinder for RDW). These ILs, developed in 3 yr, after multilocation field trials may be released as improved variety with enhanced drought tolerance.


Journal of Biosciences | 2012

Advances in genetics and molecular breeding of three legume crops of semi-arid tropics using next-generation sequencing and high-throughput genotyping technologies.

Rajeev K. Varshney; Himabindu Kudapa; Manish Roorkiwal; Mahendar Thudi; Manish K. Pandey; Rachit K. Saxena; Siva K. Chamarthi; Murali Mohan S; Nalini Mallikarjuna; Hari D. Upadhyaya; Pooran M. Gaur; L. Krishnamurthy; K. B. Saxena; S. N. Nigam; S. Pande

Molecular markers are the most powerful genomic tools to increase the efficiency and precision of breeding practices for crop improvement. Progress in the development of genomic resources in the leading legume crops of the semi-arid tropics (SAT), namely, chickpea (Cicer arietinum), pigeonpea (Cajanus cajan) and groundnut (Arachis hypogaea), as compared to other crop species like cereals, has been very slow. With the advances in next-generation sequencing (NGS) and high-throughput (HTP) genotyping methods, there is a shift in development of genomic resources including molecular markers in these crops. For instance, 2,000 to 3,000 novel simple sequence repeats (SSR) markers have been developed each for chickpea, pigeonpea and groundnut. Based on Sanger, 454/FLX and Illumina transcript reads, transcriptome assemblies have been developed for chickpea (44,845 transcript assembly contigs, or TACs) and pigeonpea (21,434 TACs). Illumina sequencing of some parental genotypes of mapping populations has resulted in the development of 120 million reads for chickpea and 128.9 million reads for pigeonpea. Alignment of these Illumina reads with respective transcriptome assemblies have provided >10,000 SNPs each in chickpea and pigeonpea. A variety of SNP genotyping platforms including GoldenGate, VeraCode and Competitive Allele Specific PCR (KASPar) assays have been developed in chickpea and pigeonpea. By using above resources, the first-generation or comprehensive genetic maps have been developed in the three legume species mentioned above. Analysis of phenotyping data together with genotyping data has provided candidate markers for drought-tolerance-related root traits in chickpea, resistance to foliar diseases in groundnut and sterility mosaic disease (SMD) and fertility restoration in pigeonpea. Together with these trait-associated markers along with those already available, molecular breeding programmes have been initiated for enhancing drought tolerance, resistance to fusarium wilt and ascochyta blight in chickpea and resistance to foliar diseases in groundnut. These trait-associated robust markers along with other genomic resources including genetic maps and genomic resources will certainly accelerate crop improvement programmes in the SAT legumes.


Archive | 2011

Trait mapping and molecular breeding.

Siva K. Chamarthi; Arvind Kumar; Tri D. Vuong; Matthew W. Blair; Pooran M. Gaur; Henry T. Nguyen; Rajeev K. Varshney

This chapter provides general concepts of trait mapping and molecular breeding in food legumes, citing the examples of soyabean, common bean and chickpea where development and use of genetic and genomic resources are at an advanced stage.


Journal of Plant Biochemistry and Biotechnology | 2012

Genomic diversity among sorghum genotypes with resistance to sorghum shoot fly, atherigona soccata

Siva K. Chamarthi; H. C. Sharma; Santosh Deshpande; C. T. Hash; V. Rajaram; Punna Ramu; M. Lakshmi Narasu

Host plant resistance is one of the important components for management of sorghum shoot fly, Atherigona soccata. The levels of resistance in cultivated germplasm are low to moderate, and therefore, it is important to identify sorghum genotypes with diverse mechanisms of resistance based on physico-chemical and or molecular markers. We assessed the genetic diversity of 15 sorghum genotypes with different levels of resistance/susceptibility to shoot fly, A. soccata using 93 sorghum simple sequence repeat (SSR) primer pairs and simultaneously characterized for 15 morpho-biochemical traits associated with shoot fly resistance. Of these 93 SSR primer pairs, amplification products from 79, thought to correspond to single-copy loci distributed across all ten sorghum chromosome pairs, showed good polymorphism across the 15 sorghum genotypes. The polymorphic information content (PIC) values of these 79 SSR markers ranged from 0.06 to 0.86. The Principal Coordinate Analyses (PCoA) and cluster analyses based on dissimilarity matrices derived from SSR based allelic variation (Neighbor-Joining distance) and variation in 15 morpho-biochemical traits (based on Gower’s distance), revealed grouping of most susceptible genotypes in single cluster. The improved breeding lines grouped with resistant or susceptible genotypes, based on shared pedigree. Based on these results, three resistant accessions viz., IS 1054, IS 1057 and IS 4664 were found diverse to IS 18551, which is widely used as shoot fly resistance donor. These diverse sources, after further characterization for resistance mechanisms, can be used in breeding programs for improving shoot fly resistance.


Archive | 2017

Chickpea genetic map comprising 1328 marker loci

Pavana J Hiremath; Ashish Kumar; R. Varma Penmetsa; Andrew D. Farmer; Jessica A. Schlueter; Siva K. Chamarthi; Adam M. Whaley; Noelia Carrasquilla-Garcia; Pooran M. Gaur; H. D. Upadhyaya; P. B. Kavi Kishor; Trushar Shah; Douglas R. Cook; Rajeev K. Varshney

A second-generation genetic map comprising 1328 marker loci including novel 625 CKAMs, 314 TOG-SNPs and 389 published marker loci with an average inter-marker distance of 0.59 cM. CMap Visualization Links: 1328 loci map DOI: doi:10.1111/j.1467-7652.2012.00710.x


Euphytica | 2013

Molecular mapping of QTLs for resistance to Fusarium wilt (race 1) and Ascochyta blight in chickpea (Cicer arietinum L.)

Murali Mohan Sabbavarapu; Mamta Sharma; Siva K. Chamarthi; Nayakoti Swapna; Abhishek Rathore; Mahendar Thudi; Pooran M. Gaur; S. Pande; Sarvjeet Singh; Livinder Kaur; Rajeev K. Varshney


Archive | 2013

Fast-track introgression of “QTL-hotspot” for root traits and other drought tolerance trait in JG 11, an elite and leading variety of chickpea (Cicer arietinum L.)

Rajeev K. Varshney; Pooran M. Gaur; Siva K. Chamarthi; L. Krishnamurthy; Shailesh Tripathi; Junichi Kashiwagi; Srinivasan Samineni; Vikas K. Singh; Mahendar Thudi; Deepa Jaganathan


Root Genomics and Soil Interactions | 2012

Translational Root Genomics for Crop Improvement

Reyazul Rouf Mir; Mahendar Thudi; Siva K. Chamarthi; L. Krishnamurthy; Pooran M. Gaur; Rajeev K. Varshney

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Rajeev K. Varshney

International Crops Research Institute for the Semi-Arid Tropics

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Pooran M. Gaur

Crops Research Institute

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Mahendar Thudi

International Crops Research Institute for the Semi-Arid Tropics

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L. Krishnamurthy

International Crops Research Institute for the Semi-Arid Tropics

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Vikas K. Singh

Indian Institute of Technology Kanpur

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Deepa Jaganathan

International Crops Research Institute for the Semi-Arid Tropics

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S. Pande

International Crops Research Institute for the Semi-Arid Tropics

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Srinivasan Samineni

International Crops Research Institute for the Semi-Arid Tropics

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Pooran M. Gaur

Crops Research Institute

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Ashish Kumar

International Crops Research Institute for the Semi-Arid Tropics

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