Publications by authors named "Naganeeswaran S"

Genetic improvement in coconut relies on exploiting the vast existing diversity among coconut accessions. Robust molecular markers are a pre-requisite for efficient characterization of genetic diversity. Microsatellites or simple sequence repeats (SSRs), mined from expressed sequence tags (ESTs), constitute an important resource for analysis of genetic diversity as they are abundant, polymorphic and represent function regions of the genome.

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Date palm ( L.; 2n = 36; Arecaceae), cultivated in tropical and sub-tropical regions worldwide, is a staple food for people in the Middle East region and has economic value throughout the world. Tissue culture is considered as a feasible technique for the large-scale multiplication of elite date palm varieties.

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We present the complete mitochondrial genome of honey bee subspecies, (Apidae) belonging to the African lineage. The assembled circular genome has a length of 16,569 bp which comprises 13 protein coding genes, 22 transfer RNA genes, two ribosomal RNA genes, and AT rich region.

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Article Synopsis
  • The production and supply of high-quality planting material is crucial for improving coconut cultivation, but there are significant challenges in achieving this due to the difficulty in propagating coconut palms in vitro.
  • Rapid methods like somatic embryogenesis are promising for mass-producing quality coconut palms, yet the process faces obstacles due to the plant's resistance to in vitro culture.
  • This study utilized RNA-Seq to analyze gene expression in coconut embryogenic calli, identifying key genes involved in the somatic embryogenesis process, and providing valuable insights into the molecular events that could improve propagation techniques.
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Phytophthora megakarya, the causative agent of cacao black pod disease in West African countries causes an extensive loss of yield. In this study we have analyzed 4 libraries of ESTs derived from Phytophthora megakarya infected cocoa leaf and pod tissues. Totally 6379 redundant sequences were retrieved from ESTtik database and EST processing was performed using seqclean tool.

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