Browsing by Author "Malhotra, S.K."

Now showing 1 - 5 of 5
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    Cocoa EST database: Comprehensive database of Cocoa Expressed Sequence Tags (ESTs)
    (2015) Naganeeswaran, S.; Elain Apshara, S.; Manimekalai, R.; Amal Vasu; Malhotra, S.K.
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    Diagnosis and management of soil fertility constraints in coconut (Cocos nucifera) : A review
    (2017-06) Malhotra, S.K.; Maheswarappa, H.P.; Selvamani, V.; Chowdappa, P.
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    Standalone EST microsatellite mining and analysis tool (SEMAT): for automated EST-SSR analysis in plants
    (2014) Naganeeswaran Sudalaimuthu Asari; Manimekalai Ramaswamy; Elain Apshara Subbian; Manju Kalathil Palliyarakkal; Malhotra, S.K.; Anitha Karun
    Public databases contain large datasets of plant expressed sequence tags (ESTs) that can be used for mining microsatellite/simple sequence repeat markers. The identification and annotation of these markers take considerable time. Here, we describe an efficient, high-throughput microsatellite mining, and analysis pipeline, standalone EST microsatellite mining and analysis tool (SEMAT). The pipeline bundles sequence trimming, assembly, microsatellite identification, primer selection, and blast annotation, for which it consecutively uses SeqClean, CAP3, MISA, Primer3, and Blast. SEMAT is written using Perl scripts, and it runs under Ubuntu and Fedora Linux. SEMAT is an efficient and timesaving bioinformatics tool to accomplish the high throughput EST-SSR analysis. It is freely available from http://semat. cpcribioinformatics.in/.
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    Status of coconut basal stem rot disease in India – A review
    (2016-12) Snehalatharani, A.; Maheswarappa, H.P.; Devappa, V.; Malhotra, S.K.
    Basal stem rot is one of the important diseases of coconut accounting to severe yield loss in southern India. The disease in Indian subcontinent is reported to be caused by G. lucidum (Leys.) Karst., G. applanatum (Pers.) Pat. and G. boninense. Present status of the disease pertaining to occurrence and distribution in major coconut growing states, symptomology, etiology and epidemiology, disease indexing, pathogen diversity and its management methods are reviewed. The disease if unattended, is becoming a major threat to coconut production in Andhra Pradesh, Karnataka and Tamil Nadu states. Management of the disease is possible with continuous monitoring and implementing biocontrol based integrated management even though there is variation among the pathogenic virulence of Ganoderma isolates. As early disease escapes detection, recent developments in early detection, grouping and molecular identification of the pathogen and integrated disease management measures are summarized in this review paper.