Toward the mapping of physiological and agronomic characters on a rice function map: QTL analysis and comparison between QTLs and expressed sequence tags
We have constructed a rice function map by collating the results on quantitative trait loci (QTLs) for 23 important physiological and agronomic characters (including 13 newly measured traits) obtained using backcross inbred lines of japonica Nipponbareindica Kasalath. Using these materials, The Rice...
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Veröffentlicht in: | Theoretical and applied genetics 2001-05, Vol.102 (6-7), p.793-800 |
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creator | ISHIMARU, K YANO, M AOKI, N ONO, K HIROSE, T LIN, S. Y MONNA, L SASAKI, T OHSUGI, R |
description | We have constructed a rice function map by collating the results on quantitative trait loci (QTLs) for 23 important physiological and agronomic characters (including 13 newly measured traits) obtained using backcross inbred lines of japonica Nipponbareindica Kasalath. Using these materials, The Rice Genome project (RGP) has developed a high-density genetic map. QTLs controlling yield did not overlap with those controlling the morphological and physiological traits supposed to relate to yield, such as photosynthetic ability. This result suggests that these traits do not influence yield, at least in this genetic background and environment. QTLs controlling yield also did not overlap with the structural genes controlling carbon metabolism (rbcS, cytosolic or plastidic fructose-1,6-bisphosphate, R-enzyme, and sucrose synthase).The combination of a function map and results from the RGP can be advantageous. The utility of this map is discussed. |
doi_str_mv | 10.1007/s001220000467 |
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QTLs controlling yield also did not overlap with the structural genes controlling carbon metabolism (rbcS, cytosolic or plastidic fructose-1,6-bisphosphate, R-enzyme, and sucrose synthase).The combination of a function map and results from the RGP can be advantageous. The utility of this map is discussed.</description><identifier>ISSN: 0040-5752</identifier><identifier>EISSN: 1432-2242</identifier><identifier>DOI: 10.1007/s001220000467</identifier><identifier>CODEN: THAGA6</identifier><language>eng</language><publisher>Heidelberg: Springer</publisher><subject>Biological and medical sciences ; Carbon ; Classical genetics, quantitative genetics, hybrids ; fructose-1,6-bisphosphate ; Fundamental and applied biological sciences. Psychology ; Genetics of eukaryotes. 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Y</creatorcontrib><creatorcontrib>MONNA, L</creatorcontrib><creatorcontrib>SASAKI, T</creatorcontrib><creatorcontrib>OHSUGI, R</creatorcontrib><title>Toward the mapping of physiological and agronomic characters on a rice function map: QTL analysis and comparison between QTLs and expressed sequence tags</title><title>Theoretical and applied genetics</title><description>We have constructed a rice function map by collating the results on quantitative trait loci (QTLs) for 23 important physiological and agronomic characters (including 13 newly measured traits) obtained using backcross inbred lines of japonica Nipponbareindica Kasalath. Using these materials, The Rice Genome project (RGP) has developed a high-density genetic map. QTLs controlling yield did not overlap with those controlling the morphological and physiological traits supposed to relate to yield, such as photosynthetic ability. This result suggests that these traits do not influence yield, at least in this genetic background and environment. QTLs controlling yield also did not overlap with the structural genes controlling carbon metabolism (rbcS, cytosolic or plastidic fructose-1,6-bisphosphate, R-enzyme, and sucrose synthase).The combination of a function map and results from the RGP can be advantageous. The utility of this map is discussed.</description><subject>Biological and medical sciences</subject><subject>Carbon</subject><subject>Classical genetics, quantitative genetics, hybrids</subject><subject>fructose-1,6-bisphosphate</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Genetics of eukaryotes. Biological and molecular evolution</subject><subject>Genomes</subject><subject>Leaves</subject><subject>Metabolism</subject><subject>Morphology</subject><subject>Oryza sativa</subject><subject>Oryza sativa indica</subject><subject>Oryza sativa japonica</subject><subject>Physiology</subject><subject>Proteins</subject><subject>Pteridophyta, spermatophyta</subject><subject>rbcS gene</subject><subject>Vegetals</subject><issn>0040-5752</issn><issn>1432-2242</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU-LFDEQxRtRcFw9eg8iempN0kkn7U0W_8GACOO5qU2qZ7J0d9pUD7v7Ufy21jh7UA8GQqi833uBvKp6ruQbJaV7S1IqrSUv07oH1UaZRtdaG_2w2vCdrK2z-nH1hOiaGW1ls6l-7vINlCjWA4oJliXNe5EHsRzuKOUx71OAUcAcBexLnvOUgggHKBBWLCTyLECUFFAMxzmsiWcOeSe-7bZsgpFD6Lc75GmBkoiBK1xvEOcTc9bwdilIhFEQ_jjizGkr7Olp9WiAkfDZ_XlRff_4YXf5ud5-_fTl8v22DkbLte4gGm-NCdZ7Jx0Cds0QfFRxUNGwEJ1BVhCiNxAbd2WVMr4LrRkGxNhcVK_PuUvJ_Dyt_ZQo4DjCjPlIfdd65U6byVf_JZXzrbdaMvjiH_A6Hwv_B_XeWKacaxmqz1Aomajg0C8lTVDueiX7U5_9X30y__I-FIhLGQrMIdEfJmu16Zpf4L2g-w</recordid><startdate>20010501</startdate><enddate>20010501</enddate><creator>ISHIMARU, K</creator><creator>YANO, M</creator><creator>AOKI, N</creator><creator>ONO, K</creator><creator>HIROSE, T</creator><creator>LIN, S. 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Biological and molecular evolution</topic><topic>Genomes</topic><topic>Leaves</topic><topic>Metabolism</topic><topic>Morphology</topic><topic>Oryza sativa</topic><topic>Oryza sativa indica</topic><topic>Oryza sativa japonica</topic><topic>Physiology</topic><topic>Proteins</topic><topic>Pteridophyta, spermatophyta</topic><topic>rbcS gene</topic><topic>Vegetals</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ISHIMARU, K</creatorcontrib><creatorcontrib>YANO, M</creatorcontrib><creatorcontrib>AOKI, N</creatorcontrib><creatorcontrib>ONO, K</creatorcontrib><creatorcontrib>HIROSE, T</creatorcontrib><creatorcontrib>LIN, S. 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QTLs controlling yield did not overlap with those controlling the morphological and physiological traits supposed to relate to yield, such as photosynthetic ability. This result suggests that these traits do not influence yield, at least in this genetic background and environment. QTLs controlling yield also did not overlap with the structural genes controlling carbon metabolism (rbcS, cytosolic or plastidic fructose-1,6-bisphosphate, R-enzyme, and sucrose synthase).The combination of a function map and results from the RGP can be advantageous. The utility of this map is discussed.</abstract><cop>Heidelberg</cop><cop>Berlin</cop><pub>Springer</pub><doi>10.1007/s001220000467</doi><tpages>8</tpages></addata></record> |
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subjects | Biological and medical sciences Carbon Classical genetics, quantitative genetics, hybrids fructose-1,6-bisphosphate Fundamental and applied biological sciences. Psychology Genetics of eukaryotes. Biological and molecular evolution Genomes Leaves Metabolism Morphology Oryza sativa Oryza sativa indica Oryza sativa japonica Physiology Proteins Pteridophyta, spermatophyta rbcS gene Vegetals |
title | Toward the mapping of physiological and agronomic characters on a rice function map: QTL analysis and comparison between QTLs and expressed sequence tags |
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