01793nas a2200229   4500008004100000022001400041245006400055210006400119260006100183300001200244490000800256520104000264100001701304700002501321700002601346700001701372700002001389700002001409700002101429700001801450856009501468       2005                        eng d  a0040-575200aMolecular mapping of stem and leaf rust resistance in wheat0 aMolecular mapping of stem and leaf rust resistance in wheat  a233 SPRING STREET, NEW YORK, NY 10013 USAbSPRINGERcSEP  a846-8500 v1113 a<p>Stem rust caused by Puccinia graminis f. sp. tritici Eriks and Henn and leaf rust caused by Puccinia triticina Rob. ex Desm. are major constraints to wheat production worldwide. In the present study, F-4-derived SSD population, developed from a cross between Australian cultivars `Schomburgk' and `Yarralinka', was used to identify molecular markers linked to rust resistance genes Lr3a and Sr22. A total of 1,330 RAPD and 100 ISSR primers and 33 SSR primer pairs selected on the basis of chromosomal locations of these genes were used. The ISSR marker UBC 840(540) was found to be linked with Lr3a in repulsion at a distance of 6.0 cM. Markers cfa2019 and cfa2123 flanked Sr22 at a distance of 5.9 cM (distal) and 6.0 cM (proximal), respectively. The use of these markers in combination would predict the presence or absence of Sr22 in breeding populations. A previously identified PCR-based diagnostic marker STS638 linked to Lr20 was validated in this population. This marker showed a recombination value of 7.1 cM with Lr20.</p>1 aKhan, R., R.1 aBariana, Harbans, S.1 aDholakia, Bhushan, B.1 aNaik, S., V.1 aLagu, Meena, D.1 aRathjen, A., J.1 aBhavani, Sridhar1 aGupta, V., S.  uhttps://library.ncl.res.in/content/molecular-mapping-stem-and-leaf-rust-resistance-wheat-002291nas a2200301   4500008004100000022001400041245012400055210006900179260008900248300001200337490000700349520127500356653001601631653001601647653000801663653000801671653001801679100001801697700001201715700002601727700002001753700001501773700001801788700001601806700001901822700001801841856013001859       2008                        eng d  a0733-521000aMolecular genetic mapping of quantitative trait loci associated with loaf volume in hexaploid wheat (Triticum aestivum)0 aMolecular genetic mapping of quantitative trait loci associated   a24-28 OVAL RD, LONDON NW1 7DX, ENGLANDbACADEMIC PRESS LTD ELSEVIER SCIENCE LTDcMAY  a587-5980 v473 a<p>Major efforts in wheat research are being made to improve the yield and quality of wheat. Loaf volume (Lv) is the main quality parameter deciding the bread making potential of wheat. To genetically dissect quantitative trait loci (QTLs) for Lv, a Recombinant Inbred Line (RIL) population (F-8) was developed from a cross between two Indian wheat varieties ``H 1977'' and ``HD 2329''. A total of 914 SSR and 100 ISSR primers were used for molecular analysis and the genetic map comprising 19 chromosomes was constructed with 202 SSR markers and 2 HMW glutenin subunit loci: Glu-B1 and Glu-B1. The phenotypic data were collected from six environments including three different agro-climatic zones for 2 consecutive years. Dissection of Lv through AMMI model revealed significant G x E variance for the trait. QTL analysis was performed using composite interval mapping. A total of 30 QTLs for Lv were detected and significant QTLs were identified on 6B and 6D chromosomes; 1B, 1D, 2A, 3A, 513 and 5D also contributed genetically to Lv. Association between 6B and 6D QTLs and variable expression of gliadins on group 6 chromosomes were discussed. QTLs detected in this study were compared with other QTL analysis in wheat. (C) 2007 Elsevier Ltd. All rights reserved.</p>10abreadmaking10aloaf volume10aQTL10aSSR10awheat quality1 aElangovan, M.1 aRai, R.1 aDholakia, Bhushan, B.1 aLagu, Meena, D.1 aTiwari, R.1 aGupta, R., K.1 aRao, V., S.1 aRoeder, M., S.1 aGupta, V., S.  uhttps://library.ncl.res.in/content/molecular-genetic-mapping-quantitative-trait-loci-associated-loaf-volume-hexaploid-wheat-002593nas a2200277   4500008004100000022001400041245009700055210006900152260007100221300001400292490000700306520162800313653001601941653001701957653001601974653001601990653001502006653002602021100002302047700002402070700002802094700002602122700002102148700002002169856012602189       2013                        eng d  a1535-389300aMolecular insights into resistance mechanisms of lepidopteran insect pests against toxicants0 aMolecular insights into resistance mechanisms of lepidopteran in  a1155 16TH ST, NW, WASHINGTON, DC 20036 USAbAMER CHEMICAL SOCcNOV  a4727-47370 v123 a<p>Insect pests remain a major reason for crop loss worldwide despite extensive use of chemical insecticides. More than B 50% of all insecticides are organophosphates, followed by synthetic pyrethroids, organochlorines, carbamates, and biopesticides, and their continued use may have many environmental, agricultural, medical, and socioeconomic issues. Importantly, only a countable number of insects have acquired the status of crop pests, mostly due to monoculture of crop plants and polyphagous nature of the insects. We focus on A adaptations of Lepidopteran insects to phytochemicals and synthetic pesticides in native and modern agricultural systems. Because of heavy use of chemical insecticides, a strong selection pressure is imposed on insect populations, resulting in the emergence of resistance against candidate compound(s). Current knowledge suggests that insects generally implement a three-tier system to overcome the effect of toxic compounds at physiological, biochemical, and genetic levels. Furthermore, we have discussed whether the adaptation to phytochemicals provides an advantage to the insect while encountering synthetic insecticide molecules. Specific metabolic pathways employed by insects to convert deterrents into less toxic forms or their removal from the system are highlighted. Using the proteomics approach, insect proteins interacting with insecticides can be identified, and their modification in resistant insects can be characterized. Also, systems biology studies can offer useful cues to decipher the molecular networks participating in the metabolism of detrimental compounds.</p>10afield crops10ainsect-pests10ainsecticide10aLepidoptera10aproteomics10aresistance mechanisms1 aDawkar, Vishal, V.1 aChikate, Yojana, R.1 aLomate, Purushottam, R.1 aDholakia, Bhushan, B.1 aGupta, Vidya, S.1 aGiri, Ashok, P.  uhttps://library.ncl.res.in/content/molecular-insights-resistance-mechanisms-lepidopteran-insect-pests-against-toxicants-002233nas a2200313   4500008004100000022001400041245007500055210006900130260007400199300001200273490000700285520122400292653002301516653001401539653003001553653002701583653001001610100002601620700002001646700001601666700001701682700001501699700002101714700002001735700002201755700001801777700001801795856010601813       2013                        eng d  a1380-374300aMolecular mapping of leaf rust resistance gene Lr15 in hexaploid wheat0 aMolecular mapping of leaf rust resistance gene Lr15 in hexaploid  aVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDSbSPRINGERcMAR  a743-7470 v313 a<p>Leaf rust is a widespread and commonly occurring rust disease of wheat. Genetic resistance is the most economical method of reducing losses due to leaf rust. Lr15 has been shown to be present on wheat chromosome 2D and is reported to be a seedling resistance gene. However, tightly linked markers associated with Lr15 have not been reported to date. To identify molecular markers linked to Lr15, an F-2 mapping population of Thatcher x Thatcher-Lr15 was generated. Available wheat simple sequence repeat markers were utilized in parental screening and polymorphic markers were used to analyze the entire population of 221 plants. Phenotypic evaluations of the F-2-derived F-3 progenies with Puccinia triticina Eriks. pathotype 162A (93R15) confirmed the monogenic inheritance of Lr15. The linkage group representing chromosome 2DS was constructed at LOD 4.0 which revealed the closest flanking markers Xgwm4562 and Xgwm102 at a distance of 3.1 and 9.3 cM, respectively. Furthermore, utilization of these flanking markers in combination has successfully identified wheat lines with or without Lr15. These markers could potentially be useful in gene pyramiding with other genes to enhance rust resistance in wheat.</p>10aDisease resistance10aLeaf rust10aMarker-assisted selection10aSimple sequence repeat10aWheat1 aDholakia, Bhushan, B.1 aRajwade, A., V.1 aHosmani, P.1 aKhan, R., R.1 aChavan, S.1 aReddy, D., M. R.1 aLagu, Meena, D.1 aBansal, Urmil, K.1 aSaini, R., G.1 aGupta, V., S.  uhttps://library.ncl.res.in/content/molecular-mapping-leaf-rust-resistance-gene-lr15-hexaploid-wheat-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<p>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.</p>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