Physiology and Molecular Biology of Stress ... - KHAM PHA MOI
Physiology and Molecular Biology of Stress ... - KHAM PHA MOI
Physiology and Molecular Biology of Stress ... - KHAM PHA MOI
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Functional Genomics <strong>of</strong> <strong>Stress</strong> Tolerance<br />
321<br />
provides access to a total <strong>of</strong> ~30,000 full length cDNA clones. More information regarding<br />
these clones can be searched from the Knowledge-based Oryza <strong>Molecular</strong> Biological<br />
Encyclopedia database (KOME; http://cdna01.dna.affrc.go.jp/cDNA). AGI provides<br />
BAC <strong>and</strong> EST libraries, high density hybridization filters <strong>and</strong> clones on a cost recovery<br />
basis. Databases dedicated to comparative cereal genomics include USDA Gramene<br />
database (http:// www.gramene.org; Ware et al., 2002a, b) <strong>and</strong> John Innes Cereal Databases<br />
(www.jic.bsrc.ac.uk). TIGR provides details <strong>of</strong> both rice <strong>and</strong> Arabidopsis genome<br />
sequencing, the site also provides details <strong>of</strong> 13, 659 Tos17 insertion flanking<br />
sequences mapped in silico to 2,448 rice PAC/BAC sequences. IRIS provides integrated<br />
information on genetic resources <strong>and</strong> Oryzabase provides information on genetic<br />
resources, genes, chromosome maps <strong>and</strong> general information on rice.<br />
In 2000, with the completion <strong>of</strong> Arabidopsis genome sequencing, the<br />
Arabidopsis research community planned The Arabidopsis 2010 Program. The aim was<br />
to assign function to all the 25,000 Arabidopsis genes (Chory et al., 2000). Further, an<br />
International Rice Functional Genomics Consortium (IRFGC) has been set up with the<br />
goal <strong>of</strong> sharing knowledge, integrating the databases <strong>and</strong> functional genomics <strong>of</strong> rice<br />
(http://www.iris.irri.org/IRFGC/) h<strong>and</strong> in h<strong>and</strong> with the rice genome sequencing<br />
(Hirochika et al., 2004). IR64 deletion mutants developed at IRRI are accessible through<br />
the International Crop Information System database (ICIS), both phenotypic <strong>and</strong> molecular<br />
data related to the mutants are available at the site (Leung et al., 2001).<br />
Besides the above, other mutant databases have also used the model plants<br />
Arabidopsis <strong>and</strong> rice whose sequence data is already available. The two major resources<br />
for Arabidopsis mutants generated through insertional mutagenesis are The<br />
Arabidopsis Biological Research Center (ABRC) <strong>and</strong> Nottingham Arabidopsis Stock<br />
Center (NASC) (Table 3). In fact, ABRC has the largest collection; it has more than<br />
140,000 mutants generated through transposon <strong>and</strong> T-DNA tagging. Most <strong>of</strong> these<br />
have been contributed by the Salk institute (http://signal.salk.edu/tabout.html). Of the<br />
140,000 mutants available, sequence information <strong>of</strong> flanking sites is available for 50,256<br />
lines. If a researcher is not able to find a knockout in the gene <strong>of</strong> interest in these two<br />
databases for Arabidopsis then the other option would be to search in the The<br />
Arabidopsis Knockout facility (Krysan et al., 1999). Another database, which serves to<br />
integrate the data available from several projects on insertional mutagenesis, is the<br />
Arabidopsis thaliana insertion database (ATIDB; http://atidb.cshl.org/). Through this<br />
source more than 100,000 insertion lines can be accessed consisting <strong>of</strong> 196 defective<br />
Supressor/mutator (dSM), 6113 Supressor mutator (SM) lines, 119 activation tagging,<br />
1586 gene trap, 1289 enhancer trap <strong>and</strong> 94,947 T-DNA lines (Pan et al., 2003). Users can<br />
search for T-DNA or transposon insertions in the sequence <strong>of</strong> interest <strong>and</strong> the stocks<br />
can be ordered directly through NASC <strong>and</strong> ABRC. To establish a T-DNA tagged population<br />
in which a T-DNA insertion can be found at a probability <strong>of</strong> ~99%, ~200,000<br />
tagged lines <strong>of</strong> Arabidopsis <strong>and</strong> ~471,000 tagged lines <strong>of</strong> rice would be required (Jeon<br />
et al., 2000). For Arabidopsis, such a resource is now available (Table 3) where T-DNA<br />
tagging has been done on a genome-wide scale with more than 225,000 T-DNA inser-