The department has received
many conceptualized project proposals for carrying out research
in the field of Bioinformatics and Computational Biology.
It has been witnessed that the generation of primary data
have increased in the country with the support of several
Government departments like DBT. During this year, the department
has supported 10 R&D projects which are specific to applications
in the area of Agriculture, Medical and Knowledge Discovery
from Data (KDD) by using Bioinformatics tools. The R&D
projects which were supported earlier have also shown very
good progress. The projects which had shown major outcomes
in terms of scientific utility and product development are
highlighted below.
(i) Mango Database
Through a project supported to the Central Institute of Sub-Tropical
Horticulture, Lucknow on Development of Genetic resource database
and information system for mango a database front-end has
been developed using MySQL and PHP dealing with updating and
retrieval of data. Data on morphological and molecular characterization
was collected from NAGS and database on the mango accessions
in different genebanks has been developed. The characterization
data of 200 accessions was converted into codes and used for
updating of the data. Information on various aspects of Mangifera
was collected and is been converted into digital format for
adding it to the database. A website on Mango Genetic Resource
Information System has been developed and is being tested
for security options, so that it is enriched by uploading
collected information as database with protection against
unauthorized access.
(ii) Interactive Visual Diagnostic software to Check Nutrient
Deficiency in Crops
An interactive Visual Diagnostic Software for the Identification
of Nutrient Deficiencies in Crops is being implemented at
TNAU, Coimbatore. A software has been developed based on the
concept that plants are the indicator of nutrient deficiencies
in soils that commensurate with a proverb “Face is the
Index of the Mind”. The nutrient deficiencies exhibited
by plants are very unique and distinguishable from one another
depending on the mobility of ions and the physiological functions
associated with it. To accomplish the task four approaches
namely (a) identification of nutrient deficiencies using visual
symptoms in the field, (b) classification based on dichotomous
keys, (c) confirmation through soil and plant analyses and
(d) scanning and integration of the images into the visual
basic software.
Nutrient deficiency symptoms occurring in a wide array of
crops (about 65) in seven agro-climatic zones of Tamil Nadu
had been photographed using a high resolution digital camera.
In the same location, soil and plant samples have been collected
and analysed for its nutrient concentrations in order to relate
whether symptoms associated with a particular nutrient deficiency.
In maize, sugarcane, sorghum, soybean and groundnut, visual
deficiency symptoms were graded and analyzed for their specific
Fe and P concentrations. These experiments have reconfirmed
that visual diagnosis closely coincides with the deficiency
in soils vis-a-vis in plants. After confirmation, the photographic
images were compressed by optimization process to reduce the
file size to fit into the Visual Basic Software. The Visual
Diagnostic Software has been developed and about 70% symptoms
taken from the field had been integrated. Besides the software,
a book on 'Diagnosis of Nutrient Deficiencies in Crops' in
English and Tamil has been prepared to be able to provide
basic information for the user groups.
(iii) Myocilin Structure Prediction using Knowledge based
consensus.
A project on Understanding Protein Aggregation in relation
to Primary Open Angle Glaucoma (POAG) for evaluating models,
Screening Polymorphisms and database development is being
pursued jointly by MKU, Madurai and Aravind Eye Hospital Madurai.
Mutations in Human Myocilin, a 55-kDa protein has been associated
with open angle glaucoma. Most of these mutations are segregated
to the olfactomedin-like domain. Only 2-4% of POAG patients
have mutations in the myocilin gene. Understanding the structure
and folding of the native protein and the mutants that increase
aggregation could lead to possible prevention of the condition.
A plausible structure predicted for myocilin using a knowledge
based consensus method was used to understand the role of
myocilin and these mutations in POAG. The model resulted in
a beta strand rich C-term Region (181 – 504) having
the Cys245-Cys433 disulfide bone. Molecular dynamics is used
to understand the role of the mutations in causing aggregation.
For example, Gly367Arg a novel mutation has been identified
in the patients from local population. From experimental analysis
it has been shown that it aggregates in the trabecular meshwork
and is not secreted out, whereas the normal protein is secreted
out. Structural analysis and molecular dynamics calculations
indicate how the mutation might cause possible conformational
change leading to aggregation. A total of 124 genomic variations
were screened and six polymorphisms that lead to altered protein
products were detected as possible candidates for alternative
splicing mechanism.
(iv) Flagship Consortium Projects on TB & Rice Bioinformatics
Two important flagship multi-agency and multi-institutional
programs namely Development of Databases on TB & Rice
have been conceptualized. Many well known institutions, say
about 20 and scientists working in these areas are being associated
with these projects for data sources and continuous evaluation
at various stages of its implementations. |