02531nas a2200277 4500008004100000022001400041245009300055210006900148260008100217300001200298490000700310520153700317653002201854653001701876653002201893653002601915653003301941653002401974100002101998700002402019700002402043700002302067700001802090700002102108856012402129 2007 eng d a0268-914600aMitochondrial haplotypes reveal a strong genetic structure for three Indian sheep breeds0 aMitochondrial haplotypes reveal a strong genetic structure for t a9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLANDbBLACKWELL PUBLISHINGcOCT a460-4660 v383 a

This survey represents the first characterization of mitochondrial DNA diversity within three breeds of Indian sheep (two strains of the Deccani breed, as well as the Bannur and Garole breeds) from different geographic regions and with divergent phenotypic characteristics. A 1061-bp fragment of the mitochondrial genome spanning the control region, a portion of the 12S rRNA gene and the complete phenyl tRNA gene, was sequenced from 73 animals and compared with the corresponding published sequence from European and Asian breeds and the European Mouflon (Ovis musimon). Analysis of all 156 sequences revealed 73 haplotypes, 52 of which belonged to the Indian breeds. The three Indian breeds had no haplotypes in common, but one Indian haplotype was shared with European and other Asian breeds. The highest nucleotide and haplotype diversity was observed in the Bannur breed (0.00355 and 0.981 respectively), while the minimum was in the Sangamneri strain of the Deccani breed (0.00167 and 0.882 respectively). All 52 Indian haplotypes belonged to mitochondrial lineage A. Therefore, these Indian sheep are distinct from other Asian and European breeds studied so far. The relationships among the haplotypes showed strong breed structure and almost no introgression among these Indian breeds, consistent with Indian sheep husbandry, which discourages genetic exchange between breeds. These results have implications for the conservation of India's ovine biodiversity and suggest a common origin for the breeds investigated.

10aGenetic diversity10aIndian sheep10amitochondrial DNA10amitochondrial lineage10aphylogeographic distribution10asheep domestication1 aPardeshi, V., C.1 aKadoo, Narendra, Y.1 aSainani, Mohini, N.1 aMeadows, J., R. S.1 aKijas, J., W.1 aGupta, Vidya, S. uhttps://library.ncl.res.in/content/mitochondrial-haplotypes-reveal-strong-genetic-structure-three-indian-sheep-breeds-001707nas a2200253 4500008004100000022001400041245005900055210005900114260007400173300001200247490000700259520089800266653002301164653001801187653002001205653002201225653001901247100002101266700001601287700002401303700001801327700001801345856009001363 2009 eng d a1380-374300aMolecular mapping of wilt resistance genes in chickpea0 aMolecular mapping of wilt resistance genes in chickpea aVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDSbSPRINGERcSEP a177-1830 v243 a

Fusarium wilt is a widespread and serious chickpea disease caused by the soil-borne fungus Fusarium oxysporum f.sp. ciceri (Foc). We evaluated an F(9) recombinant inbred line population of chickpea for resistance to three Foc races (1, 2 and 3) in pot culture experiments and identified flanking and tightly linked DNA markers for the resistance genes. The simple sequence repeat markers H3A12 and TA110 flanked the Foc1 locus at 3.9 and 2.1 cM, respectively, while Foc2 was mapped 0.2 cM from TA96 and 2.7 cM from H3A12. The H1B06y and TA194 markers flanked the Foc3 locus at 0.2 and 0.7 cM, respectively. These markers were also validated using 16 diverse chickpea genotypes. Identification of tightly linked flanking markers for wilt resistance genes will be useful for their exploitation in breeding programs and to understand the mechanism of resistance and evolution of the genes.

10afusarium oxysporum10aFusarium wilt10aGenetic mapping10aMarker validation10aPathogen races1 aGowda, S., J. M.1 aRadhika, P.1 aKadoo, Narendra, Y.1 aMhase, L., B.1 aGupta, V., S. uhttps://library.ncl.res.in/content/molecular-mapping-wilt-resistance-genes-chickpea-002165nas a2200265 4500008004100000022001400041245006900055210006900124260008000193300000900273490000700282520128000289653002001569653001701589653003401606653002301640653001701663100002101680700001601701700001801717700002201735700001801757700002401775856010001799 2011 eng d a1234-198300aMapping of QTLs governing agronomic and yield traits in chickpea0 aMapping of QTLs governing agronomic and yield traits in chickpea aTIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANYbSPRINGER HEIDELBERGcFEB a9-210 v523 a

Chickpea is one of the most important leguminous cool season food crops, cultivated prevalently in South Asia and Middle East. The main objective of this study was to identify quantitative trait loci (QTLs) associated with seven agronomic and yield traits in two recombinant inbred line populations of chickpea derived from the crosses JG62xVijay (JV population) and VijayxICC4958 (VI population) from at least three environments. Single locus QTL analysis involved composite interval mapping (CIM) for individual traits and multiple-trait composite interval mapping (MCIM) for correlated traits to detect pleiotropic QTLs. Two-locus analysis was conducted to identify the main effect QTLs (M-QTLs), epistatic QTLs (E-QTLs) and QTL x environment interactions. Through CIM analysis, a total of 106 significant QTLs (41 in JV and 65 in VI populations) were identified for the seven traits, of which one QTL each for plant height and days to maturity was common in both the populations. Six pleiotropic QTLs that were consistent over the environments were also identified. LG2 in JV and LG1a in VI contained at least one QTL for each trait. Hence, concentrating on these LGs in molecular breeding programs is most likely to bring simultaneous improvement in these traits.

10aCicer arietinum10aQTL analysis10aQTL x environment interaction10aTwo-locus analysis10aYield traits1 aGowda, S., J. M.1 aRadhika, P.1 aMhase, L., B.1 aJamadagni, B., M.1 aGupta, V., S.1 aKadoo, Narendra, Y. uhttps://library.ncl.res.in/content/mapping-qtls-governing-agronomic-and-yield-traits-chickpea-002495nas a2200277 4500008004100000022001400041245012300055210006900178260010600247300001200353490000800365520149500373653001301868653001801881653001001899653001701909653001201926653001601938100002001954700002601974700002602000700002402026700002002050700002102070856012602091 2015 eng d a0031-942200aMetabolic profiling of chickpea-Fusarium interaction identifies differential modulation of disease resistance pathways0 aMetabolic profiling of chickpeaFusarium interaction identifies d aTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLANDbPERGAMON-ELSEVIER SCIENCE LTDcAUG a120-1290 v1163 a

Chickpea is the third most widely grown legume in the world and mainly used as a vegetarian source of human dietary protein. Fusarium wilt, caused by Fusarium oxysporum f. sp. ciceri (Foc), is one of the major threats to global chickpea production. Host resistance is the best way to protect crops from diseases; however, in spite of using various approaches, the mechanism of Foc resistance in chickpea remains largely obscure. In the present study, non-targeted metabolic profiling at several time points of resistant and susceptible chickpea cultivars using high-resolution liquid chromatography-mass spectrometry was applied to better understand the mechanistic basis of wilt resistance or susceptibility. Multivariate analysis of the data (OPLS-DA) revealed discriminating metabolites in chickpea root tissue after Foc inoculation such as flavonoids, isoflavonoids, alkaloids, amino acids and sugars. Foc inoculated resistant plants had more flavonoids and isoflavonoids along with their malonyl conjugates. Many antifungal metabolites that were induced after Foc infection viz, aurantion-obstine beta-glucosides and querecitin were elevated in resistant cultivar. Overall, diverse genetic and biochemical mechanisms were operational in the resistant cultivar for Foc defense as compared to the susceptible plant. The resistant chickpea plants employed the above-mentioned metabolic pathways as potential defense strategy against Foc. (C) 2015 Elsevier Ltd. All rights reserved.

10aChickpea10aFusarium wilt10aLC-MS10aMetabolomics10aOPLS-DA10aPhytoalexin1 aKumar, Yashwant1 aDholakia, Bhushan, B.1 aPanigrahi, Priyabrata1 aKadoo, Narendra, Y.1 aGiri, Ashok, P.1 aGupta, Vidya, S. uhttps://library.ncl.res.in/content/metabolic-profiling-chickpea-fusarium-interaction-identifies-differential-modulation-0