Publications by authors named "Shailaja Hittalmani"

Article Synopsis
  • Horsegram is a resilient legume known for its nutritional benefits, with its genome sequenced to 279.12Mb covering over 83% of its total size, revealing 24,521 annotated genes.
  • The genome shows low repetitive sequence content at 25.04% and contains major transcription factors indicating drought resistance, along with a high abundance of potential functional food ingredients like Bowman-Birk protease inhibitors.
  • Analysis of the horsegram genome related it closely to the common bean and identified significant genetic associations with powdery mildew, providing valuable insights for breeding programs and potential use as a nutraceutical food source.
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In this study, we show that NAC-like transcription factor (TF) has 90% sequence similarity with cDNA of the 5 gene present in the NCBI database. Phylogenetic analysis of the NAC gene family was performed with inclusion of the highly diverse C-terminal sequences. We report that this gene is also found to be orthologous to 8, 2, 6 and paralogous to 6.

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The expressed sequence tags (ESTs) of common bean were BLAST aligned with barred medic genome sequence and developed 1196 conserved intron spanning primers (CISPs) to facilitate genetic studies in legumes. Randomly selected 288 CISPs, representing loci on barrel medic genome, were tested on 10 selected members of legume family. On the source taxa, the highest single copy amplification success rates of 61.

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Background: Sheath rot disease caused by Sarocladium oryzae is an emerging threat for rice cultivation at global level. However, limited information with respect to genomic resources and pathogenesis is a major setback to develop disease management strategies. Considering this fact, we sequenced the whole genome of highly virulent Sarocladium oryzae field isolate, Saro-13 with 82x sequence depth.

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Background: Rice is a major staple food crop in the world. Over 80% of rice cultivation area is under indica rice. Currently, genomic resources are lacking for indica as compared to japonica rice.

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Sorghum downy mildew caused by Peronosclerospora sorghi is a major disease of maize and resistance is under the control of polygenes which necessitated identification of quantitative-trait loci (QTLs) for initiating marker-assisted introgression of resistant QTLs in elite susceptible inbred lines. In the present study, QTLs for sorghum downy mildew (SDM) resistance in maize were identified based on cosegregation with linked simple sequence repeats in 185 F2 progeny from a cross between susceptible (CM500-19) and resistant (MAI105) parents. F3 families were screened in the National Sorghum Downy Mildew Screening Nursery during 2010 and 2011.

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Background: Drought is the most severe abiotic stress reducing rice yield in rainfed drought prone ecosystems. Variation in intensity and severity of drought from season to season and place to place requires cultivation of rice varieties with different level of drought tolerance in different areas. Multi environment evaluation of breeding lines helps breeder to identify appropriate genotypes for areas prone to similar level of drought stress.

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Rice double-haploid (DH) lines of an indica and japonica cross were grown at nine different locations across four countries in Asia. Genotype-by-environment (G x E) interaction analysis for 11 growth- and grain yield-related traits in nine locations was estimated by AMMI analysis. Maximum G x E interaction was exhibited for fertility percentage number of spikelets and grain yield.

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A number of morphological, physiological and phenological traits are known to improve the performance of rice challenged by drought. Root morphological traits and stress-induced response form important components of drought tolerance. Enhancing grain yield remains the principal objective of most breeding programs.

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