PubMed:28584974 JSON TXT

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21k_plant_trait_mention

OryzaGP_2021

OryzaGP_2021_v2

{"project":"OryzaGP_2021_v2","denotations":[{"id":"T1","span":{"begin":1199,"end":1202},"obj":"http://identifiers.org/oryzabase.gene/6622"},{"id":"T2","span":{"begin":1788,"end":1791},"obj":"http://identifiers.org/oryzabase.gene/7170"},{"id":"T13925","span":{"begin":1199,"end":1202},"obj":"http://identifiers.org/rapdb.locus/Os06g0160700"},{"id":"T12148","span":{"begin":1788,"end":1791},"obj":"http://identifiers.org/rapdb.locus/Os04g0179200"}],"text":"High Resolution Mapping of QTLs for Heat Tolerance in Rice Using a 5K SNP Array.\nBACKGROUND: Heat stress is one of the major abiotic threats to rice production, next to drought and salinity stress. Incidence of heat stress at reproductive phase of the crop results in abnormal pollination leading to floret sterility, low seed set and poor grain quality. Identification of QTLs and causal genes for heat stress tolerance at flowering will facilitate breeding for improved heat tolerance in rice. In the present study, we used 272 F8 recombinant inbred lines derived from a cross between Nagina22, a well-known heat tolerant Aus cultivar and IR64, a heat sensitive popular Indica rice variety to map the QTLs for heat tolerance.\nRESULTS: To enable precise phenotyping for heat stress tolerance, we used a controlled phenotyping facility available at ICAR-Indian Institute of Wheat and Barley Research, Karnal, India. Based on 'days to 50% flowering' data of the RILs, we followed staggered sowing to synchronize flowering to impose heat stress at uniform stage. Using the Illumina infinium 5K SNP array for genotyping the parents and the RILs, and stress susceptibility and stress tolerance indices (SSI and STI) of percent spikelet sterility and yield per plant (g), we identified five QTLs on chromosomes 3, 5, 9 and 12. The identified QTLs explained phenotypic variation in the range of 6.27 to 21. 29%. Of these five QTLs, two high effect QTLs, one novel (qSTIPSS9.1) and one known (qSTIY5.1/qSSIY5.2), were mapped in less than 400 Kbp genomic regions, comprising of 65 and 54 genes, respectively.\nCONCLUSIONS: The present study identified two major QTLs for heat tolerance in rice in narrow physical intervals, which can be employed for crop improvement by marker assisted selection (MAS) after development of suitable scorable markers for breeding of high yielding heat tolerant rice varieties. This is the first report of a major QTL for heat tolerance on chromosome 9 of rice. Further, a known QTL for heat tolerance on chromosome 5 was narrowed down from 23 Mb to 331 Kbp in this study."}

OryzaGP_2021_FLAIR

{"project":"OryzaGP_2021_FLAIR","denotations":[{"id":"M_0","span":{"begin":874,"end":879},"obj":"hunflair:NA:Species"},{"id":"M_1","span":{"begin":54,"end":58},"obj":"hunflair:NA:Species"},{"id":"M_2","span":{"begin":300,"end":316},"obj":"hunflair:NA:Disease"},{"id":"M_3","span":{"begin":144,"end":148},"obj":"hunflair:NA:Species"},{"id":"M_4","span":{"begin":490,"end":494},"obj":"hunflair:NA:Species"},{"id":"M_5","span":{"begin":679,"end":683},"obj":"hunflair:NA:Species"},{"id":"M_6","span":{"begin":1680,"end":1684},"obj":"hunflair:NA:Species"},{"id":"M_7","span":{"begin":1884,"end":1888},"obj":"hunflair:NA:Species"},{"id":"M_8","span":{"begin":1978,"end":1982},"obj":"hunflair:NA:Species"},{"id":"M_9","span":{"begin":884,"end":890},"obj":"hunflair:NA:Species"},{"id":"M_10","span":{"begin":624,"end":636},"obj":"hunflair:NA:Species"}],"text":"High Resolution Mapping of QTLs for Heat Tolerance in Rice Using a 5K SNP Array.\nBACKGROUND: Heat stress is one of the major abiotic threats to rice production, next to drought and salinity stress. Incidence of heat stress at reproductive phase of the crop results in abnormal pollination leading to floret sterility, low seed set and poor grain quality. Identification of QTLs and causal genes for heat stress tolerance at flowering will facilitate breeding for improved heat tolerance in rice. In the present study, we used 272 F8 recombinant inbred lines derived from a cross between Nagina22, a well-known heat tolerant Aus cultivar and IR64, a heat sensitive popular Indica rice variety to map the QTLs for heat tolerance.\nRESULTS: To enable precise phenotyping for heat stress tolerance, we used a controlled phenotyping facility available at ICAR-Indian Institute of Wheat and Barley Research, Karnal, India. Based on 'days to 50% flowering' data of the RILs, we followed staggered sowing to synchronize flowering to impose heat stress at uniform stage. Using the Illumina infinium 5K SNP array for genotyping the parents and the RILs, and stress susceptibility and stress tolerance indices (SSI and STI) of percent spikelet sterility and yield per plant (g), we identified five QTLs on chromosomes 3, 5, 9 and 12. The identified QTLs explained phenotypic variation in the range of 6.27 to 21. 29%. Of these five QTLs, two high effect QTLs, one novel (qSTIPSS9.1) and one known (qSTIY5.1/qSSIY5.2), were mapped in less than 400 Kbp genomic regions, comprising of 65 and 54 genes, respectively.\nCONCLUSIONS: The present study identified two major QTLs for heat tolerance in rice in narrow physical intervals, which can be employed for crop improvement by marker assisted selection (MAS) after development of suitable scorable markers for breeding of high yielding heat tolerant rice varieties. This is the first report of a major QTL for heat tolerance on chromosome 9 of rice. Further, a known QTL for heat tolerance on chromosome 5 was narrowed down from 23 Mb to 331 Kbp in this study."}

funRiceGenes-all

{"project":"funRiceGenes-all","denotations":[{"id":"PTO-all_T1","span":{"begin":36,"end":50},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-all_T2","span":{"begin":322,"end":330},"obj":"http://purl.obolibrary.org/obo/TO_0000180"},{"id":"PTO-all_T3","span":{"begin":404,"end":420},"obj":"http://purl.obolibrary.org/obo/TO_0000164"},{"id":"PTO-all_T4","span":{"begin":472,"end":486},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-all_T5","span":{"begin":610,"end":623},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-all_T6","span":{"begin":712,"end":726},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-all_T7","span":{"begin":776,"end":792},"obj":"http://purl.obolibrary.org/obo/TO_0000164"},{"id":"PTO-all_T8","span":{"begin":1147,"end":1168},"obj":"http://purl.obolibrary.org/obo/TO_0000164"},{"id":"PTO-all_T9","span":{"begin":1173,"end":1189},"obj":"http://purl.obolibrary.org/obo/TO_0000164"},{"id":"PTO-all_T10","span":{"begin":1223,"end":1241},"obj":"http://purl.obolibrary.org/obo/TO_0000436"},{"id":"PTO-all_T11","span":{"begin":1662,"end":1676},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-all_T12","span":{"begin":1870,"end":1883},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-all_T13","span":{"begin":1944,"end":1958},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-all_T14","span":{"begin":2009,"end":2023},"obj":"http://purl.obolibrary.org/obo/TO_0000259"}],"text":"High Resolution Mapping of QTLs for Heat Tolerance in Rice Using a 5K SNP Array.\nBACKGROUND: Heat stress is one of the major abiotic threats to rice production, next to drought and salinity stress. Incidence of heat stress at reproductive phase of the crop results in abnormal pollination leading to floret sterility, low seed set and poor grain quality. Identification of QTLs and causal genes for heat stress tolerance at flowering will facilitate breeding for improved heat tolerance in rice. In the present study, we used 272 F8 recombinant inbred lines derived from a cross between Nagina22, a well-known heat tolerant Aus cultivar and IR64, a heat sensitive popular Indica rice variety to map the QTLs for heat tolerance.\nRESULTS: To enable precise phenotyping for heat stress tolerance, we used a controlled phenotyping facility available at ICAR-Indian Institute of Wheat and Barley Research, Karnal, India. Based on 'days to 50% flowering' data of the RILs, we followed staggered sowing to synchronize flowering to impose heat stress at uniform stage. Using the Illumina infinium 5K SNP array for genotyping the parents and the RILs, and stress susceptibility and stress tolerance indices (SSI and STI) of percent spikelet sterility and yield per plant (g), we identified five QTLs on chromosomes 3, 5, 9 and 12. The identified QTLs explained phenotypic variation in the range of 6.27 to 21. 29%. Of these five QTLs, two high effect QTLs, one novel (qSTIPSS9.1) and one known (qSTIY5.1/qSSIY5.2), were mapped in less than 400 Kbp genomic regions, comprising of 65 and 54 genes, respectively.\nCONCLUSIONS: The present study identified two major QTLs for heat tolerance in rice in narrow physical intervals, which can be employed for crop improvement by marker assisted selection (MAS) after development of suitable scorable markers for breeding of high yielding heat tolerant rice varieties. This is the first report of a major QTL for heat tolerance on chromosome 9 of rice. Further, a known QTL for heat tolerance on chromosome 5 was narrowed down from 23 Mb to 331 Kbp in this study."}

funRiceGenes-exact

{"project":"funRiceGenes-exact","denotations":[{"id":"PTO-exact_T1","span":{"begin":36,"end":50},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-exact_T2","span":{"begin":472,"end":486},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-exact_T3","span":{"begin":610,"end":623},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-exact_T4","span":{"begin":712,"end":726},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-exact_T5","span":{"begin":1223,"end":1241},"obj":"http://purl.obolibrary.org/obo/TO_0000436"},{"id":"PTO-exact_T6","span":{"begin":1662,"end":1676},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-exact_T7","span":{"begin":1870,"end":1883},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-exact_T8","span":{"begin":1944,"end":1958},"obj":"http://purl.obolibrary.org/obo/TO_0000259"},{"id":"PTO-exact_T9","span":{"begin":2009,"end":2023},"obj":"http://purl.obolibrary.org/obo/TO_0000259"}],"text":"High Resolution Mapping of QTLs for Heat Tolerance in Rice Using a 5K SNP Array.\nBACKGROUND: Heat stress is one of the major abiotic threats to rice production, next to drought and salinity stress. Incidence of heat stress at reproductive phase of the crop results in abnormal pollination leading to floret sterility, low seed set and poor grain quality. Identification of QTLs and causal genes for heat stress tolerance at flowering will facilitate breeding for improved heat tolerance in rice. In the present study, we used 272 F8 recombinant inbred lines derived from a cross between Nagina22, a well-known heat tolerant Aus cultivar and IR64, a heat sensitive popular Indica rice variety to map the QTLs for heat tolerance.\nRESULTS: To enable precise phenotyping for heat stress tolerance, we used a controlled phenotyping facility available at ICAR-Indian Institute of Wheat and Barley Research, Karnal, India. Based on 'days to 50% flowering' data of the RILs, we followed staggered sowing to synchronize flowering to impose heat stress at uniform stage. Using the Illumina infinium 5K SNP array for genotyping the parents and the RILs, and stress susceptibility and stress tolerance indices (SSI and STI) of percent spikelet sterility and yield per plant (g), we identified five QTLs on chromosomes 3, 5, 9 and 12. The identified QTLs explained phenotypic variation in the range of 6.27 to 21. 29%. Of these five QTLs, two high effect QTLs, one novel (qSTIPSS9.1) and one known (qSTIY5.1/qSSIY5.2), were mapped in less than 400 Kbp genomic regions, comprising of 65 and 54 genes, respectively.\nCONCLUSIONS: The present study identified two major QTLs for heat tolerance in rice in narrow physical intervals, which can be employed for crop improvement by marker assisted selection (MAS) after development of suitable scorable markers for breeding of high yielding heat tolerant rice varieties. This is the first report of a major QTL for heat tolerance on chromosome 9 of rice. Further, a known QTL for heat tolerance on chromosome 5 was narrowed down from 23 Mb to 331 Kbp in this study."}