Page 60 - Biennial Report 2018-20 Jun 2021

libraries of N. khasiana were generated
and assembled. The final assembly
obtained by filling the gaps resulted in a
genome of 869.8 MB size. Identifying
and masking repeat elements generated
the draft genome with a total of 63,792
protein-coding genes. 5,067 genes were
annotated into 24 functional pathway
categories based on the KEGG pathway
database. 26,368 in silico validated SSRs
were identified in N. khasiana pitcher
plant. Gene Ontology via BLAST2go
annotation revealed enzymes involved
in insect tissue digestion (chitinases,
proteases and lipases) that might have
evolved through evolutionary
modifications of genes already existing in most angiosperms. Comparative genomics carried out
between the predicted protein sequences of N. khasiana and protein sequences of Arabidopsis
thaliana, Theobroma cacao, Vitis vinifera, Cephalotus follicularis and Populus trichocarpa led to
the identification of 9,079 commonly occurring protein clusters.

Proteome content of traps before and after prey capture will be analyzed. Proteogenomics
approach will be taken to identify novel peptides in the trap fluid. As the plant does not kill all
its trap intruders, phytotelma inquilines of the traps will also be identified by using universal
markers, 16S for prokaryotes, 18S for eukaryotes, and ITS for fungal inhabitants.

PREDICTIVE ANALYTICS SOFTWARE FOR DYSLIPIDEMIA ASSOCIATED
COMPLICATIONS IN TYPE 2 DIABETES CONDITION

This study design developed by S. Ramachandran consisted of the following objectives. First,
literature mining of genes, and pathways that are implicated in dyslipidemia condition under
T2D eventually with potential to cause atherosclerosis or psoriasis. Second, integrated modelling
with gene co-expression and FBA with FVA. Third, refinement of the constructed model with
selected experimental data using siRNA knockout strategies. Lastly, to design / develop proposed
software PADyAC-T2D.

Literature Mining of genes, Pathways implicated in dyslipidemia condition under T2D eventually
with potential to lead to atherosclerosis and psoriasis: The initial attempt was to use the
keywords, type 2 diabetes and dyslipidemia, for extracting the abstracts from PubMed. 9006
abstracts were obtained by this approach. Two sets of abstracts, one each for atherosclerosis
and psoriasis, were prepared using this initial set. There were 1121 abstracts for atherosclerosis
and 30 abstracts for psoriasis. It is apparent that the size of abstracts is in conformity with the
prevalence of these diseases. Atherosclerosis is more prevalent compared to psoriasis. Four
genes were found to be reported in case of type 2 diabetes associated psoriasis: IL12B
(interleukin 12B), IL23A (interleukin 23 subunit alpha), IL23R (interleukin 23 receptor) and GCG
(glucagon). These cytokines are known to be involved in control of proinflammatory cytokines.

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