02290nas a2200301 4500008004100000022001400041245012400055210006900179260008900248300001200337490000700349520127500356653001601631653001601647653000801663653000801671653001801679100001801697700001201715700002601727700002001753700001501773700001801788700001601806700001901822700001801841856012901859 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

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.

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. uhttp://library.ncl.res.in/content/molecular-genetic-mapping-quantitative-trait-loci-associated-loaf-volume-hexaploid-wheat-002468nas a2200253 4500008004100000022001400041245011400055210006900169260007400238300001200312490000700324520154700331653000901878653002901887653003101916653000801947100002101955700002501976700002402001700002602025700002102051700002102072856012102093 2012 eng d a1380-374300aDevelopment of genomic simple sequence repeat markers for linseed using next-generation sequencing technology0 aDevelopment of genomic simple sequence repeat markers for linsee aVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDSbSPRINGERcJUN a597-6060 v303 a

Linseed (Linum usitatissimum L.) is regarded as a cash crop of tomorrow because of the presence of nutraceutically important alpha-linolenic acid (ALA) and lignan. However, only limited breeding progress has been made in this crop, mainly due to the lack of sufficient genetic and genomic resources. Among these, simple sequence repeats (SSR) are useful DNA markers for diversity analysis, genetic mapping and tagging traits because of their co-dominant and highly polymorphic nature. In order to develop SSR markers for linseed, we used three microsatellite isolation methods, viz., PCR Isolation of Microsatellite Arrays (PIMA), 5'-anchored PCR method, and Fast Isolation by AFLP of Sequences COntaining repeats (FIASCO). The amplified products from these methods were pooled and sequenced using the 454 GS-FLX platform. A total of 36,332 reads were obtained, which assembled into 2,183 contigs and 2,509 singlets. The contigs and the singlets contained 1,842 microsatellite motifs, with dinucleotide motifs as the most abundant repeat type (54%) followed by trinucleotide motifs (44%). Based on this, 290 SSR markers were designed, 52 of which were evaluated using a panel of 27 diverse linseed genotypes. Among the three enrichment methods, the 5'-anchored PCR method was most efficient for isolation of microsatellites, while FIASCO was most efficient for developing SSR markers. We show the utility of next-generation sequencing technology for efficiently discovering a large number of microsatellite markers in non-model plants.

10aFlax10aMicrosatellite isolation10aNext-generation sequencing10aSSR1 aKale, Sandip, M.1 aPardeshi, Varsha, C.1 aKadoo, Narendra, Y.1 aGhorpade, Prakash, B.1 aJana, Murari, M.1 aGupta, Vidya, S. uhttp://library.ncl.res.in/content/development-genomic-simple-sequence-repeat-markers-linseed-using-next-generation-002285nas a2200277 4500008004100000022001400041245010500055210006900160260007600229300001000305490000800315520124200323653003001565653003901595653000901634653004401643653000801687653004701695100002601742700001601768700002701784700002101811700002101832700002801853856012601881 2012 eng d a0179-954100aMapping of tms8 gene for temperature-sensitive genic male sterility (TGMS) in rice (Oryza sativa L.)0 aMapping of tms8 gene for temperaturesensitive genic male sterili aCOMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USAbWILEY-BLACKWELLcFEB a42-470 v1313 a

Genetic analysis of F-2 and backcross populations of an induced temperature-sensitive genic male sterility (TGMS) mutant source F 61 with normal pollen parents revealed that TGMS trait was controlled by a single recessive gene. Molecular tagging of TGMS trait was attempted using polymorphic randomly amplified polymorphic DNA (RAPD) and simple sequence repeats (SSR) markers through bulked segregant analysis. The RAPD primers UBC 345830, UBC 313927, microsatellites RM224 and RM21 produced putative markers, which differentiate parents and bulks from sterile parent and sterile bulks. The RAPD analysis of individual F-2 plants with the primer UBC345(830) showed perfect marker-phenotype cosegregation. The 830-bp RAPD fragment, which segregated with TGMS locus at a distance of 1.33 cM, was eluted and cloned, and sequence information was used for designing sequence-characterized amplified region (SCAR) primer, which cosegregated with TGMS locus at a distance of 0.8 cM. TGMS locus was mapped onto chromosome 11 using RM21 and RM224, flanking it at a distance of 4.3 and 3.0 cM, respectively. The DNA markers tightly linked to TGMS gene (tms8) in F 61 can be cost effectively used for marker-assisted selection of TGMS trait.

10aBulked segregant analysis10arandomly amplified polymorphic DNA10arice10asequence-characterized amplified region10aSSR10atemperature-sensitive genic male sterility1 aHussain, Appibhai, J.1 aAli, Jauhar1 aSiddiq, Ebrahimali, A.1 aGupta, Vidya, S.1 aReddy, Umesh, K.1 aRanjekar, Prabhakar, K. uhttp://library.ncl.res.in/content/mapping-tms8-gene-temperature-sensitive-genic-male-sterility-tgms-rice-oryza-sativa-l-0