3.
WHAT IS GENOME ?
“All the genetic material in the chromosomes of
a particular organism; its size is generally given
as its total number of base pairs”.
http://www.nbpgr.ernet.in:8080/repository/glossary.htm
4.
Types of genomic resources
• Genomic, mitochondrial and chloroplast DNA
• RNA (total, mRNA, short RNAs)
• DNA markers, probes, primers
• Vectors (cloning, expression, binary)
• Cloned genes, mutated genes, promoters,
reporter constructs
• Libraries (sub-genomic; tissue, stage and
treatment specific cDNA and EST)
• BAC, YAC, PAC clone set from sequencing
Projects
Sequence information
6.
Application of Genomic Resources
DETAILED UNDERSTANDING OF PLANT BIOLOGY
Plant architecture
Reproductive biology
Vernalisation
Photosynthesis and partitioning
Stress tolerance/resistance
Nutrient metabolism
H.Sonah et al. 2011. Biotechnology Advances. 29:199–209.
7.
Utilisation of Genomic Resources
CROP IMPROVEMENT
Markers: Molecular Breeding
Genes: Transgenic development
Allele mining and mutant generation
Assessing plant diversity
Comparative genomics
Understanding epigenomes
Genotyping
H.Sonah et al. 2011. Biotechnology Advances. 29:199–209.
8.
Status of sequencing projects in horticultural crops up to August 2010
H.Sonah et al. 2011. Biotechnology Advances. 29:199–209.
9.
ESTs resources available in public database
(A) vegetables, (B) fruits, (C) flowers, and (D) other miscellaneous horticultural crops up to August 2010.
H.Sonah et al. 2011. Biotechnology Advances. 29:199–209.
10.
DNA BANKS
Three kind of collections:
1.Total genomic DNA
2. DNA libraries
3.Individual cloned DNA fragments (probes, satellites etc.)
Advantages:
• Convenient experimental material
• Easy to exchange and ready material for further manipulations
Disadvantages:
• In vitro regeneration (only cloned fragment replicated to precision)
• Documentation
• Require high level of skills for exchange and use
• Problem of ownership and control of samples
• Total genomic samples are non-renewable
• Allow recovery of single gene not of genomes
J.L.Karihaloo.2012.DNA Banking and international effects. Training on conservation on genomic resources.NBPGR.N.Delhi.
11.
Major world plant DNA banks
1. Australian Plant DNA Bank, Lismore, Australia
(http://www.biobank.com)
2. DNA bank, Instituo de Pesquisas, Jardim Botanico de Rio de Janeiro,
Brazil Brazil
(http://www.jbrj.gov.br/pesquisa/div_molecular/bancodna/so
bre_ing.htm )
3. Missouri Botanical Garden, Missouri, USA
(http://www.welbcenter.org/dna_banking.htm)
4. Royal Botanic Gardens, Kew, Surrey, Great Britain
(http://www.kew.org/data/dnaBank/homepage.html)
5. South African National Biodiversity Institute DNA Bank,
Kirstenbosch, South Africa
(http://www.sanbi.org/frames/researchfram.htm )
6. National Institute for Agrobiological Sciences, Japan
(www.dna.affrc.jp )
12.
The Botanical Garden and Botanical Museum
Berlin-Dahlem DNA Bank
13.
Microbiology Riken Bioresource Center DNA Bank; Animals: San Francisco Zoo DNA Bank, The Frozen
Ark, The Ambrose Monell Cryo Collection, New York, The Animal Gene Storage Resource Centre of
Australia, Conservation Genome Resource Bank for Korean Wildlife, Frozen Zoo, Austrian DNA Bank for Farm
Animal Genetic Resources, National Plant, Fungi and Animal DNA Bank, Poland
(Source: http://www.dnabank-network.org/Links.php )
Plant genomic resources banks
Royal Botanic Gardens DNA Bank, Kew
DNA Banking at the Missouri Botanical Garden
The Australian Plant DNA Bank
NIAS DNA Bank, Japan
Bank at the Nationaal Herbarium Nederland
DNA Bank Brazilian Flora Species
Plant DNA Bank in Korea
DNA Bank at Kirstenbosch, South Africa
Trinity College DNA bank, Dublin
17.
NCBI is a good starting place
• A very good and comprehensive site
• http://www.ncbi.nlm.nih.gov/
• What is available there:
– Databases
– Tools
– Education
– Downloadable material
19.
Finding a gene
• Entrez
– The underlying software that links the various
resources and allows Boolean searches
• BLAST
– The Basic Local Alignment Search Tool (BLAST)
– finds regions of local similarity between
sequences by searching sequence databases and
calculates the statistical significance of matches
20.
Using this information
• Downloading the files
– Various formats available
• Finding Related genes/domains
– What does your gene do?
• Finding Taxonomic information
– to select genes of interest for evolutionary
comparisons
• Finding Structural information
– To identify significant regions of biochemical
interest
27.
What can we do with the file?
• You can reformat it
using the Display
button
• You can download
to various locations
28.
Displaying the file as a FASTA
• FASTA is a useful format widely used by many bioinformatics
software packages.
• We can use it to conduct a BLAST Search to find sequences on
the basis of homology
34.
B.V.Suresh et al., 2014.PLOS ONE: 9:(1) 86387.
35.
• OBJECTIVE mapping and a gene description
• MATERIAL AND METHODS
• S. lycopersicum Heinz 1706 reference genome sequence
• Raw sequence reads of S. pimpinellfolium LA1589.
• The RNAseq data was downloaded from short read archive of NCBI
[accession number SRX118613 (leaf) SRX118614 (root) SRX118615
(flower) SRX118621 (mature green fruit)].
• QTL and EXPEN-2000 map coordinates were retrieved from SGN.
36.
The flow of the organization of the data in tomato
genome database
B.V.Suresh et al., 2014.PLOS ONE: 9:(1) 86387.
37.
Screenshots of a map view and a gene description page showing various features of tomato
genome database.
B.V.Suresh et al., 2014.PLOS ONE: 9:(1) 86387.
38.
FUTURE THRUST
• Rapid development in molecular biology leaves behind all the allied crop
sciences which are more applicable in crop improvement.
• The gap between these crop sciences and genomics will widen with the
changing scenario of technology.
• These limitations present a number of challenges for technology
development, data interpretation, and ultimately for integrating
information from multiple disciplines.
• Many economically important horticultural crops have very less or no.
genomic resources available which need to be taken on priority basis.
• One of the challenges in understanding genome structure of woody plants
is unavailability of ESTs or other genomic resources.
• Even after identification of trait specific genes from the genomic
resources, their functional validation would be difficult
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