Identification of differentially expressed genes under heat stress conditions in rice (Oryza sativa L.)
Abstract Rice production in recent years is highly affected by rapidly increasing temperatures in the tropical and sub-tropical countries, which threatens the sustainable production in near future. Hence, understanding the heat tolerance mechanism and evolving tolerant varieties is an immense need i...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wahab, Mustaq Mohammed S. [verfasserIn] Akkareddy, Srividhya [verfasserIn] Shanthi, P. [verfasserIn] Latha, P. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Molecular biology reports - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1973, 47(2020), 3 vom: 17. Feb., Seite 1935-1948 |
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| Übergeordnetes Werk: |
volume:47 ; year:2020 ; number:3 ; day:17 ; month:02 ; pages:1935-1948 |
| Links: |
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| DOI / URN: |
10.1007/s11033-020-05291-z |
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| Katalog-ID: |
SPR038992590 |
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| 520 | |a Abstract Rice production in recent years is highly affected by rapidly increasing temperatures in the tropical and sub-tropical countries, which threatens the sustainable production in near future. Hence, understanding the heat tolerance mechanism and evolving tolerant varieties is an immense need in the staple crop rice. An experiment has been conducted to identify differentially expressed genes in rice under heat stress conditions by employing a diverse set of 32 rice genotypes that includes reported heat tolerant genotypes Nagina 22 (N22) and Dular. Screening of the genotypes at field conditions during Summer-2018 for reproductive stage heat tolerance (wherein the mean minimum (29.8 °C) and maximum (38.4 °C) temperatures surpassed optimum temperatures (25 °C night/30 °C day) required for rice flowering and grain filling stages) and lab conditions employing thermal induction response (TIR) technique to know the genotype’s acquired thermal tolerance revealed that the genotype FR13A (indica landrace) showed highest overall performance for multitude of traits viz., 95.29% of spikelet fertility (SF-%) at field level and 100% seedling survival percentage (SSP) at sub-lethal temperatures under laboratory conditions. The relative performance (under TIR) across all the three traits viz., relative shoot length (RSL) (4.91), relative root length (RRL) (equal to the control) and relative seedling dry weight (RSDW) (6.94) over control is high when compared to the other genotypes under study. However, the highly susceptible genotype PUSA1121 performed with 43.59 of SF%, 73.33% SSP, − 43.59 of RSL, − 36.02 of RRL over control. Hence, these contrasting genotypes were used for molecular analysis for identification of differentially expressed genes by employing 29 heat related gene specific primers. Five genes viz., OsGSK1, TT1, HSP70-OsEnS-45, OsHSP74.8 and OsHSP70 have shown differential expression between the two genotypes. Hence, the genotype FR13A, an ‘indica’ genotype, can be utilized in heat tolerance breeding programmes as donor parent in addition to the reported ‘aus’ genotypes, N22 and Dular. To our knowledge this is the first indica genotype identified for heat tolerance. The HSP70s, TT1 and OsGSK1 that proved with differential expression might be used for identification of gene specific InDels and thereby to develop functional markers that help in the marker assisted introgression breeding to develop heat tolerant varieties that can sustain production under dramatically changing climatic conditions. | ||
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| 650 | 4 | |a Reproductive stage heat tolerance |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Acquired heat tolerance |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a DEGs |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Shanthi, P. |e verfasserin |4 aut | |
| 700 | 1 | |a Latha, P. |e verfasserin |4 aut | |
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10.1007/s11033-020-05291-z doi (DE-627)SPR038992590 (SPR)s11033-020-05291-z-e DE-627 ger DE-627 rakwb eng 570 ASE 42.13 bkl Wahab, Mustaq Mohammed S. verfasserin aut Identification of differentially expressed genes under heat stress conditions in rice (Oryza sativa L.) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Rice production in recent years is highly affected by rapidly increasing temperatures in the tropical and sub-tropical countries, which threatens the sustainable production in near future. Hence, understanding the heat tolerance mechanism and evolving tolerant varieties is an immense need in the staple crop rice. An experiment has been conducted to identify differentially expressed genes in rice under heat stress conditions by employing a diverse set of 32 rice genotypes that includes reported heat tolerant genotypes Nagina 22 (N22) and Dular. Screening of the genotypes at field conditions during Summer-2018 for reproductive stage heat tolerance (wherein the mean minimum (29.8 °C) and maximum (38.4 °C) temperatures surpassed optimum temperatures (25 °C night/30 °C day) required for rice flowering and grain filling stages) and lab conditions employing thermal induction response (TIR) technique to know the genotype’s acquired thermal tolerance revealed that the genotype FR13A (indica landrace) showed highest overall performance for multitude of traits viz., 95.29% of spikelet fertility (SF-%) at field level and 100% seedling survival percentage (SSP) at sub-lethal temperatures under laboratory conditions. The relative performance (under TIR) across all the three traits viz., relative shoot length (RSL) (4.91), relative root length (RRL) (equal to the control) and relative seedling dry weight (RSDW) (6.94) over control is high when compared to the other genotypes under study. However, the highly susceptible genotype PUSA1121 performed with 43.59 of SF%, 73.33% SSP, − 43.59 of RSL, − 36.02 of RRL over control. Hence, these contrasting genotypes were used for molecular analysis for identification of differentially expressed genes by employing 29 heat related gene specific primers. Five genes viz., OsGSK1, TT1, HSP70-OsEnS-45, OsHSP74.8 and OsHSP70 have shown differential expression between the two genotypes. Hence, the genotype FR13A, an ‘indica’ genotype, can be utilized in heat tolerance breeding programmes as donor parent in addition to the reported ‘aus’ genotypes, N22 and Dular. To our knowledge this is the first indica genotype identified for heat tolerance. The HSP70s, TT1 and OsGSK1 that proved with differential expression might be used for identification of gene specific InDels and thereby to develop functional markers that help in the marker assisted introgression breeding to develop heat tolerant varieties that can sustain production under dramatically changing climatic conditions. Rice (dpeaa)DE-He213 Reproductive stage heat tolerance (dpeaa)DE-He213 Acquired heat tolerance (dpeaa)DE-He213 DEGs (dpeaa)DE-He213 Akkareddy, Srividhya verfasserin aut Shanthi, P. verfasserin aut Latha, P. verfasserin aut Enthalten in Molecular biology reports Dordrecht [u.a.] : Springer Science + Business Media B.V, 1973 47(2020), 3 vom: 17. Feb., Seite 1935-1948 (DE-627)270930639 (DE-600)1478217-0 1573-4978 nnns volume:47 year:2020 number:3 day:17 month:02 pages:1935-1948 https://dx.doi.org/10.1007/s11033-020-05291-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.13 ASE AR 47 2020 3 17 02 1935-1948 |
| spelling |
10.1007/s11033-020-05291-z doi (DE-627)SPR038992590 (SPR)s11033-020-05291-z-e DE-627 ger DE-627 rakwb eng 570 ASE 42.13 bkl Wahab, Mustaq Mohammed S. verfasserin aut Identification of differentially expressed genes under heat stress conditions in rice (Oryza sativa L.) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Rice production in recent years is highly affected by rapidly increasing temperatures in the tropical and sub-tropical countries, which threatens the sustainable production in near future. Hence, understanding the heat tolerance mechanism and evolving tolerant varieties is an immense need in the staple crop rice. An experiment has been conducted to identify differentially expressed genes in rice under heat stress conditions by employing a diverse set of 32 rice genotypes that includes reported heat tolerant genotypes Nagina 22 (N22) and Dular. Screening of the genotypes at field conditions during Summer-2018 for reproductive stage heat tolerance (wherein the mean minimum (29.8 °C) and maximum (38.4 °C) temperatures surpassed optimum temperatures (25 °C night/30 °C day) required for rice flowering and grain filling stages) and lab conditions employing thermal induction response (TIR) technique to know the genotype’s acquired thermal tolerance revealed that the genotype FR13A (indica landrace) showed highest overall performance for multitude of traits viz., 95.29% of spikelet fertility (SF-%) at field level and 100% seedling survival percentage (SSP) at sub-lethal temperatures under laboratory conditions. The relative performance (under TIR) across all the three traits viz., relative shoot length (RSL) (4.91), relative root length (RRL) (equal to the control) and relative seedling dry weight (RSDW) (6.94) over control is high when compared to the other genotypes under study. However, the highly susceptible genotype PUSA1121 performed with 43.59 of SF%, 73.33% SSP, − 43.59 of RSL, − 36.02 of RRL over control. Hence, these contrasting genotypes were used for molecular analysis for identification of differentially expressed genes by employing 29 heat related gene specific primers. Five genes viz., OsGSK1, TT1, HSP70-OsEnS-45, OsHSP74.8 and OsHSP70 have shown differential expression between the two genotypes. Hence, the genotype FR13A, an ‘indica’ genotype, can be utilized in heat tolerance breeding programmes as donor parent in addition to the reported ‘aus’ genotypes, N22 and Dular. To our knowledge this is the first indica genotype identified for heat tolerance. The HSP70s, TT1 and OsGSK1 that proved with differential expression might be used for identification of gene specific InDels and thereby to develop functional markers that help in the marker assisted introgression breeding to develop heat tolerant varieties that can sustain production under dramatically changing climatic conditions. Rice (dpeaa)DE-He213 Reproductive stage heat tolerance (dpeaa)DE-He213 Acquired heat tolerance (dpeaa)DE-He213 DEGs (dpeaa)DE-He213 Akkareddy, Srividhya verfasserin aut Shanthi, P. verfasserin aut Latha, P. verfasserin aut Enthalten in Molecular biology reports Dordrecht [u.a.] : Springer Science + Business Media B.V, 1973 47(2020), 3 vom: 17. Feb., Seite 1935-1948 (DE-627)270930639 (DE-600)1478217-0 1573-4978 nnns volume:47 year:2020 number:3 day:17 month:02 pages:1935-1948 https://dx.doi.org/10.1007/s11033-020-05291-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.13 ASE AR 47 2020 3 17 02 1935-1948 |
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10.1007/s11033-020-05291-z doi (DE-627)SPR038992590 (SPR)s11033-020-05291-z-e DE-627 ger DE-627 rakwb eng 570 ASE 42.13 bkl Wahab, Mustaq Mohammed S. verfasserin aut Identification of differentially expressed genes under heat stress conditions in rice (Oryza sativa L.) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Rice production in recent years is highly affected by rapidly increasing temperatures in the tropical and sub-tropical countries, which threatens the sustainable production in near future. Hence, understanding the heat tolerance mechanism and evolving tolerant varieties is an immense need in the staple crop rice. An experiment has been conducted to identify differentially expressed genes in rice under heat stress conditions by employing a diverse set of 32 rice genotypes that includes reported heat tolerant genotypes Nagina 22 (N22) and Dular. Screening of the genotypes at field conditions during Summer-2018 for reproductive stage heat tolerance (wherein the mean minimum (29.8 °C) and maximum (38.4 °C) temperatures surpassed optimum temperatures (25 °C night/30 °C day) required for rice flowering and grain filling stages) and lab conditions employing thermal induction response (TIR) technique to know the genotype’s acquired thermal tolerance revealed that the genotype FR13A (indica landrace) showed highest overall performance for multitude of traits viz., 95.29% of spikelet fertility (SF-%) at field level and 100% seedling survival percentage (SSP) at sub-lethal temperatures under laboratory conditions. The relative performance (under TIR) across all the three traits viz., relative shoot length (RSL) (4.91), relative root length (RRL) (equal to the control) and relative seedling dry weight (RSDW) (6.94) over control is high when compared to the other genotypes under study. However, the highly susceptible genotype PUSA1121 performed with 43.59 of SF%, 73.33% SSP, − 43.59 of RSL, − 36.02 of RRL over control. Hence, these contrasting genotypes were used for molecular analysis for identification of differentially expressed genes by employing 29 heat related gene specific primers. Five genes viz., OsGSK1, TT1, HSP70-OsEnS-45, OsHSP74.8 and OsHSP70 have shown differential expression between the two genotypes. Hence, the genotype FR13A, an ‘indica’ genotype, can be utilized in heat tolerance breeding programmes as donor parent in addition to the reported ‘aus’ genotypes, N22 and Dular. To our knowledge this is the first indica genotype identified for heat tolerance. The HSP70s, TT1 and OsGSK1 that proved with differential expression might be used for identification of gene specific InDels and thereby to develop functional markers that help in the marker assisted introgression breeding to develop heat tolerant varieties that can sustain production under dramatically changing climatic conditions. Rice (dpeaa)DE-He213 Reproductive stage heat tolerance (dpeaa)DE-He213 Acquired heat tolerance (dpeaa)DE-He213 DEGs (dpeaa)DE-He213 Akkareddy, Srividhya verfasserin aut Shanthi, P. verfasserin aut Latha, P. verfasserin aut Enthalten in Molecular biology reports Dordrecht [u.a.] : Springer Science + Business Media B.V, 1973 47(2020), 3 vom: 17. Feb., Seite 1935-1948 (DE-627)270930639 (DE-600)1478217-0 1573-4978 nnns volume:47 year:2020 number:3 day:17 month:02 pages:1935-1948 https://dx.doi.org/10.1007/s11033-020-05291-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.13 ASE AR 47 2020 3 17 02 1935-1948 |
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10.1007/s11033-020-05291-z doi (DE-627)SPR038992590 (SPR)s11033-020-05291-z-e DE-627 ger DE-627 rakwb eng 570 ASE 42.13 bkl Wahab, Mustaq Mohammed S. verfasserin aut Identification of differentially expressed genes under heat stress conditions in rice (Oryza sativa L.) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Rice production in recent years is highly affected by rapidly increasing temperatures in the tropical and sub-tropical countries, which threatens the sustainable production in near future. Hence, understanding the heat tolerance mechanism and evolving tolerant varieties is an immense need in the staple crop rice. An experiment has been conducted to identify differentially expressed genes in rice under heat stress conditions by employing a diverse set of 32 rice genotypes that includes reported heat tolerant genotypes Nagina 22 (N22) and Dular. Screening of the genotypes at field conditions during Summer-2018 for reproductive stage heat tolerance (wherein the mean minimum (29.8 °C) and maximum (38.4 °C) temperatures surpassed optimum temperatures (25 °C night/30 °C day) required for rice flowering and grain filling stages) and lab conditions employing thermal induction response (TIR) technique to know the genotype’s acquired thermal tolerance revealed that the genotype FR13A (indica landrace) showed highest overall performance for multitude of traits viz., 95.29% of spikelet fertility (SF-%) at field level and 100% seedling survival percentage (SSP) at sub-lethal temperatures under laboratory conditions. The relative performance (under TIR) across all the three traits viz., relative shoot length (RSL) (4.91), relative root length (RRL) (equal to the control) and relative seedling dry weight (RSDW) (6.94) over control is high when compared to the other genotypes under study. However, the highly susceptible genotype PUSA1121 performed with 43.59 of SF%, 73.33% SSP, − 43.59 of RSL, − 36.02 of RRL over control. Hence, these contrasting genotypes were used for molecular analysis for identification of differentially expressed genes by employing 29 heat related gene specific primers. Five genes viz., OsGSK1, TT1, HSP70-OsEnS-45, OsHSP74.8 and OsHSP70 have shown differential expression between the two genotypes. Hence, the genotype FR13A, an ‘indica’ genotype, can be utilized in heat tolerance breeding programmes as donor parent in addition to the reported ‘aus’ genotypes, N22 and Dular. To our knowledge this is the first indica genotype identified for heat tolerance. The HSP70s, TT1 and OsGSK1 that proved with differential expression might be used for identification of gene specific InDels and thereby to develop functional markers that help in the marker assisted introgression breeding to develop heat tolerant varieties that can sustain production under dramatically changing climatic conditions. Rice (dpeaa)DE-He213 Reproductive stage heat tolerance (dpeaa)DE-He213 Acquired heat tolerance (dpeaa)DE-He213 DEGs (dpeaa)DE-He213 Akkareddy, Srividhya verfasserin aut Shanthi, P. verfasserin aut Latha, P. verfasserin aut Enthalten in Molecular biology reports Dordrecht [u.a.] : Springer Science + Business Media B.V, 1973 47(2020), 3 vom: 17. Feb., Seite 1935-1948 (DE-627)270930639 (DE-600)1478217-0 1573-4978 nnns volume:47 year:2020 number:3 day:17 month:02 pages:1935-1948 https://dx.doi.org/10.1007/s11033-020-05291-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.13 ASE AR 47 2020 3 17 02 1935-1948 |
| allfieldsSound |
10.1007/s11033-020-05291-z doi (DE-627)SPR038992590 (SPR)s11033-020-05291-z-e DE-627 ger DE-627 rakwb eng 570 ASE 42.13 bkl Wahab, Mustaq Mohammed S. verfasserin aut Identification of differentially expressed genes under heat stress conditions in rice (Oryza sativa L.) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Rice production in recent years is highly affected by rapidly increasing temperatures in the tropical and sub-tropical countries, which threatens the sustainable production in near future. Hence, understanding the heat tolerance mechanism and evolving tolerant varieties is an immense need in the staple crop rice. An experiment has been conducted to identify differentially expressed genes in rice under heat stress conditions by employing a diverse set of 32 rice genotypes that includes reported heat tolerant genotypes Nagina 22 (N22) and Dular. Screening of the genotypes at field conditions during Summer-2018 for reproductive stage heat tolerance (wherein the mean minimum (29.8 °C) and maximum (38.4 °C) temperatures surpassed optimum temperatures (25 °C night/30 °C day) required for rice flowering and grain filling stages) and lab conditions employing thermal induction response (TIR) technique to know the genotype’s acquired thermal tolerance revealed that the genotype FR13A (indica landrace) showed highest overall performance for multitude of traits viz., 95.29% of spikelet fertility (SF-%) at field level and 100% seedling survival percentage (SSP) at sub-lethal temperatures under laboratory conditions. The relative performance (under TIR) across all the three traits viz., relative shoot length (RSL) (4.91), relative root length (RRL) (equal to the control) and relative seedling dry weight (RSDW) (6.94) over control is high when compared to the other genotypes under study. However, the highly susceptible genotype PUSA1121 performed with 43.59 of SF%, 73.33% SSP, − 43.59 of RSL, − 36.02 of RRL over control. Hence, these contrasting genotypes were used for molecular analysis for identification of differentially expressed genes by employing 29 heat related gene specific primers. Five genes viz., OsGSK1, TT1, HSP70-OsEnS-45, OsHSP74.8 and OsHSP70 have shown differential expression between the two genotypes. Hence, the genotype FR13A, an ‘indica’ genotype, can be utilized in heat tolerance breeding programmes as donor parent in addition to the reported ‘aus’ genotypes, N22 and Dular. To our knowledge this is the first indica genotype identified for heat tolerance. The HSP70s, TT1 and OsGSK1 that proved with differential expression might be used for identification of gene specific InDels and thereby to develop functional markers that help in the marker assisted introgression breeding to develop heat tolerant varieties that can sustain production under dramatically changing climatic conditions. Rice (dpeaa)DE-He213 Reproductive stage heat tolerance (dpeaa)DE-He213 Acquired heat tolerance (dpeaa)DE-He213 DEGs (dpeaa)DE-He213 Akkareddy, Srividhya verfasserin aut Shanthi, P. verfasserin aut Latha, P. verfasserin aut Enthalten in Molecular biology reports Dordrecht [u.a.] : Springer Science + Business Media B.V, 1973 47(2020), 3 vom: 17. Feb., Seite 1935-1948 (DE-627)270930639 (DE-600)1478217-0 1573-4978 nnns volume:47 year:2020 number:3 day:17 month:02 pages:1935-1948 https://dx.doi.org/10.1007/s11033-020-05291-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.13 ASE AR 47 2020 3 17 02 1935-1948 |
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English |
| source |
Enthalten in Molecular biology reports 47(2020), 3 vom: 17. Feb., Seite 1935-1948 volume:47 year:2020 number:3 day:17 month:02 pages:1935-1948 |
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Enthalten in Molecular biology reports 47(2020), 3 vom: 17. Feb., Seite 1935-1948 volume:47 year:2020 number:3 day:17 month:02 pages:1935-1948 |
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Rice Reproductive stage heat tolerance Acquired heat tolerance DEGs |
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Wahab, Mustaq Mohammed S. @@aut@@ Akkareddy, Srividhya @@aut@@ Shanthi, P. @@aut@@ Latha, P. @@aut@@ |
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Hence, understanding the heat tolerance mechanism and evolving tolerant varieties is an immense need in the staple crop rice. An experiment has been conducted to identify differentially expressed genes in rice under heat stress conditions by employing a diverse set of 32 rice genotypes that includes reported heat tolerant genotypes Nagina 22 (N22) and Dular. Screening of the genotypes at field conditions during Summer-2018 for reproductive stage heat tolerance (wherein the mean minimum (29.8 °C) and maximum (38.4 °C) temperatures surpassed optimum temperatures (25 °C night/30 °C day) required for rice flowering and grain filling stages) and lab conditions employing thermal induction response (TIR) technique to know the genotype’s acquired thermal tolerance revealed that the genotype FR13A (indica landrace) showed highest overall performance for multitude of traits viz., 95.29% of spikelet fertility (SF-%) at field level and 100% seedling survival percentage (SSP) at sub-lethal temperatures under laboratory conditions. The relative performance (under TIR) across all the three traits viz., relative shoot length (RSL) (4.91), relative root length (RRL) (equal to the control) and relative seedling dry weight (RSDW) (6.94) over control is high when compared to the other genotypes under study. However, the highly susceptible genotype PUSA1121 performed with 43.59 of SF%, 73.33% SSP, − 43.59 of RSL, − 36.02 of RRL over control. Hence, these contrasting genotypes were used for molecular analysis for identification of differentially expressed genes by employing 29 heat related gene specific primers. Five genes viz., OsGSK1, TT1, HSP70-OsEnS-45, OsHSP74.8 and OsHSP70 have shown differential expression between the two genotypes. Hence, the genotype FR13A, an ‘indica’ genotype, can be utilized in heat tolerance breeding programmes as donor parent in addition to the reported ‘aus’ genotypes, N22 and Dular. To our knowledge this is the first indica genotype identified for heat tolerance. 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Wahab, Mustaq Mohammed S. |
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Wahab, Mustaq Mohammed S. ddc 570 bkl 42.13 misc Rice misc Reproductive stage heat tolerance misc Acquired heat tolerance misc DEGs Identification of differentially expressed genes under heat stress conditions in rice (Oryza sativa L.) |
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570 ASE 42.13 bkl Identification of differentially expressed genes under heat stress conditions in rice (Oryza sativa L.) Rice (dpeaa)DE-He213 Reproductive stage heat tolerance (dpeaa)DE-He213 Acquired heat tolerance (dpeaa)DE-He213 DEGs (dpeaa)DE-He213 |
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identification of differentially expressed genes under heat stress conditions in rice (oryza sativa l.) |
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Identification of differentially expressed genes under heat stress conditions in rice (Oryza sativa L.) |
| abstract |
Abstract Rice production in recent years is highly affected by rapidly increasing temperatures in the tropical and sub-tropical countries, which threatens the sustainable production in near future. Hence, understanding the heat tolerance mechanism and evolving tolerant varieties is an immense need in the staple crop rice. An experiment has been conducted to identify differentially expressed genes in rice under heat stress conditions by employing a diverse set of 32 rice genotypes that includes reported heat tolerant genotypes Nagina 22 (N22) and Dular. Screening of the genotypes at field conditions during Summer-2018 for reproductive stage heat tolerance (wherein the mean minimum (29.8 °C) and maximum (38.4 °C) temperatures surpassed optimum temperatures (25 °C night/30 °C day) required for rice flowering and grain filling stages) and lab conditions employing thermal induction response (TIR) technique to know the genotype’s acquired thermal tolerance revealed that the genotype FR13A (indica landrace) showed highest overall performance for multitude of traits viz., 95.29% of spikelet fertility (SF-%) at field level and 100% seedling survival percentage (SSP) at sub-lethal temperatures under laboratory conditions. The relative performance (under TIR) across all the three traits viz., relative shoot length (RSL) (4.91), relative root length (RRL) (equal to the control) and relative seedling dry weight (RSDW) (6.94) over control is high when compared to the other genotypes under study. However, the highly susceptible genotype PUSA1121 performed with 43.59 of SF%, 73.33% SSP, − 43.59 of RSL, − 36.02 of RRL over control. Hence, these contrasting genotypes were used for molecular analysis for identification of differentially expressed genes by employing 29 heat related gene specific primers. Five genes viz., OsGSK1, TT1, HSP70-OsEnS-45, OsHSP74.8 and OsHSP70 have shown differential expression between the two genotypes. Hence, the genotype FR13A, an ‘indica’ genotype, can be utilized in heat tolerance breeding programmes as donor parent in addition to the reported ‘aus’ genotypes, N22 and Dular. To our knowledge this is the first indica genotype identified for heat tolerance. The HSP70s, TT1 and OsGSK1 that proved with differential expression might be used for identification of gene specific InDels and thereby to develop functional markers that help in the marker assisted introgression breeding to develop heat tolerant varieties that can sustain production under dramatically changing climatic conditions. |
| abstractGer |
Abstract Rice production in recent years is highly affected by rapidly increasing temperatures in the tropical and sub-tropical countries, which threatens the sustainable production in near future. Hence, understanding the heat tolerance mechanism and evolving tolerant varieties is an immense need in the staple crop rice. An experiment has been conducted to identify differentially expressed genes in rice under heat stress conditions by employing a diverse set of 32 rice genotypes that includes reported heat tolerant genotypes Nagina 22 (N22) and Dular. Screening of the genotypes at field conditions during Summer-2018 for reproductive stage heat tolerance (wherein the mean minimum (29.8 °C) and maximum (38.4 °C) temperatures surpassed optimum temperatures (25 °C night/30 °C day) required for rice flowering and grain filling stages) and lab conditions employing thermal induction response (TIR) technique to know the genotype’s acquired thermal tolerance revealed that the genotype FR13A (indica landrace) showed highest overall performance for multitude of traits viz., 95.29% of spikelet fertility (SF-%) at field level and 100% seedling survival percentage (SSP) at sub-lethal temperatures under laboratory conditions. The relative performance (under TIR) across all the three traits viz., relative shoot length (RSL) (4.91), relative root length (RRL) (equal to the control) and relative seedling dry weight (RSDW) (6.94) over control is high when compared to the other genotypes under study. However, the highly susceptible genotype PUSA1121 performed with 43.59 of SF%, 73.33% SSP, − 43.59 of RSL, − 36.02 of RRL over control. Hence, these contrasting genotypes were used for molecular analysis for identification of differentially expressed genes by employing 29 heat related gene specific primers. Five genes viz., OsGSK1, TT1, HSP70-OsEnS-45, OsHSP74.8 and OsHSP70 have shown differential expression between the two genotypes. Hence, the genotype FR13A, an ‘indica’ genotype, can be utilized in heat tolerance breeding programmes as donor parent in addition to the reported ‘aus’ genotypes, N22 and Dular. To our knowledge this is the first indica genotype identified for heat tolerance. The HSP70s, TT1 and OsGSK1 that proved with differential expression might be used for identification of gene specific InDels and thereby to develop functional markers that help in the marker assisted introgression breeding to develop heat tolerant varieties that can sustain production under dramatically changing climatic conditions. |
| abstract_unstemmed |
Abstract Rice production in recent years is highly affected by rapidly increasing temperatures in the tropical and sub-tropical countries, which threatens the sustainable production in near future. Hence, understanding the heat tolerance mechanism and evolving tolerant varieties is an immense need in the staple crop rice. An experiment has been conducted to identify differentially expressed genes in rice under heat stress conditions by employing a diverse set of 32 rice genotypes that includes reported heat tolerant genotypes Nagina 22 (N22) and Dular. Screening of the genotypes at field conditions during Summer-2018 for reproductive stage heat tolerance (wherein the mean minimum (29.8 °C) and maximum (38.4 °C) temperatures surpassed optimum temperatures (25 °C night/30 °C day) required for rice flowering and grain filling stages) and lab conditions employing thermal induction response (TIR) technique to know the genotype’s acquired thermal tolerance revealed that the genotype FR13A (indica landrace) showed highest overall performance for multitude of traits viz., 95.29% of spikelet fertility (SF-%) at field level and 100% seedling survival percentage (SSP) at sub-lethal temperatures under laboratory conditions. The relative performance (under TIR) across all the three traits viz., relative shoot length (RSL) (4.91), relative root length (RRL) (equal to the control) and relative seedling dry weight (RSDW) (6.94) over control is high when compared to the other genotypes under study. However, the highly susceptible genotype PUSA1121 performed with 43.59 of SF%, 73.33% SSP, − 43.59 of RSL, − 36.02 of RRL over control. Hence, these contrasting genotypes were used for molecular analysis for identification of differentially expressed genes by employing 29 heat related gene specific primers. Five genes viz., OsGSK1, TT1, HSP70-OsEnS-45, OsHSP74.8 and OsHSP70 have shown differential expression between the two genotypes. Hence, the genotype FR13A, an ‘indica’ genotype, can be utilized in heat tolerance breeding programmes as donor parent in addition to the reported ‘aus’ genotypes, N22 and Dular. To our knowledge this is the first indica genotype identified for heat tolerance. The HSP70s, TT1 and OsGSK1 that proved with differential expression might be used for identification of gene specific InDels and thereby to develop functional markers that help in the marker assisted introgression breeding to develop heat tolerant varieties that can sustain production under dramatically changing climatic conditions. |
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3 |
| title_short |
Identification of differentially expressed genes under heat stress conditions in rice (Oryza sativa L.) |
| url |
https://dx.doi.org/10.1007/s11033-020-05291-z |
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| author2 |
Akkareddy, Srividhya Shanthi, P. Latha, P. |
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Akkareddy, Srividhya Shanthi, P. Latha, P. |
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| doi_str |
10.1007/s11033-020-05291-z |
| up_date |
2024-07-03T21:13:15.917Z |
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| score |
7.3976746 |