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        <dc:title>A multi-dimensional approach from seed-to-seed to understand and improve heat stress tolerance in rice</dc:title>
        <dc:creator>Mangrauthia, S K</dc:creator>
        <dc:creator>Vishnu Prasanth, V</dc:creator>
        <dc:creator>Sailaja, B</dc:creator>
        <dc:creator>Sarla, N</dc:creator>
        <dc:creator>Voleti, S R</dc:creator>
        <dc:creator>Subrahmanyam, D</dc:creator>
        <dc:creator>Babu, V R</dc:creator>
        <dc:subject>Abiotic Stress</dc:subject>
        <dc:subject>Crop Improvement</dc:subject>
        <dc:subject>Rice</dc:subject>
        <dc:description>In changing climatic conditions, stress caused by high temperature&#13;
poses a serious threat to rice cultivation. Physiological,&#13;
biochemical, and molecular analysis of rice cultivars revealed&#13;
that Nagina22 (N22) shows lesser reduction in chlorophyll content,&#13;
net photosynthetic rate, spikelet fertility and grain yield,&#13;
but increased membrane thermal stability, antioxidant enzymes&#13;
activity and transpiration rate (E) at high temperature. DREB,&#13;
RAB, LEA, and genes associated with hormones signalling were&#13;
induced during germination, while OsFd (an iron sulphur cluster&#13;
binding protein) and CWIP (cell wall integrity protein) emerged&#13;
as high priority candidate genes in seedling and reproductive&#13;
stages. Their function is being analysed by transgene expression&#13;
and CRISPR/Cas genome editing approaches. Field screening&#13;
in polyhouse, late sowing and temperature gradient chamber&#13;
for 20 morpho-physiological traits indicated the importance of&#13;
both yield and spikelet fertility, and photosynthesis traits. N22&#13;
showed the least Heat Susceptibility Index (HSI) for yield/plant,&#13;
spikelet fertility, flag leaf SPAD and stomatal conductance, while&#13;
Vandana showed the highest HSI for spikelet fertility and flag leaf&#13;
temperature. QTLs for HSI of spikelet fertility were identified on&#13;
chromosome 1 and HSI of yield per plant on chromosomes 1, 2, 3,&#13;
4, 7 and 8; and PV of 6% to 57% using 174 F2-3 Vandana x N22&#13;
mapping population. Simultaneously, RNAseq was performed&#13;
to identify the genome wide miRNAs and transcriptome of N22&#13;
and Vandana from shoot and root after short and long duration&#13;
of heat stress treatments; and recovery phase for an eQTL-guided&#13;
function-related co-expression analysis to identify the putative&#13;
regulators and gene regulatory networks.</dc:description>
        <dc:date>2017-02</dc:date>
        <dc:type>Conference or Workshop Item</dc:type>
        <dc:type>PeerReviewed</dc:type>
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        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/10724/1/293.pdf</dc:identifier>
        <dc:identifier>  Mangrauthia, S K and Vishnu Prasanth, V and Sailaja, B and Sarla, N and Voleti, S R and Subrahmanyam, D and Babu, V R  (2017) A multi-dimensional approach from seed-to-seed to understand and improve heat stress tolerance in rice.  In: InterDrought-V, February 21-25, 2017, Hyderabad, India.     </dc:identifier></oai_dc:dc>
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