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Published on November 11, 2009; 10.1104/pp.109.148494

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Received October 1, 2009
Accepted November 9, 2009

Large scale reverse genetics in Arabidopsis: Case studies from the Chloroplast 2010 Project

Imad Ajjawi , Yan Lu , Linda J. Savage , Shannon M. Bell , and Robert L. Last *

Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing MI 48824 USA; Quantitative Biology Initiative, Michigan State University, East Lansing MI 48824 USA; Department of Plant Biology, Michigan State University, East Lansing MI 48824 USA

* Corresponding author; email: lastr{at}msu.edu.

Traditionally, phenotype-driven forward genetic plant mutant studies have been among the most successful approaches to revealing the roles of genes and their products and elucidating biochemical, developmental and signaling pathways. A limitation is that it is time consuming, and sometimes technically challenging, to discover the gene responsible for a phenotype by map-based cloning or discovery of the insertion element. Reverse genetics is also an excellent way to associate genes with phenotypes, though an absence of detectable phenotypes often results when screening a small number of mutants with a limited range of phenotypic assays. The Arabidopsis Chloroplast 2010 Project (www.plastid.msu.edu) seeks synergy between forward and reverse genetics by screening thousands of sequence-indexed Arabidopsis thaliana T-DNA insertion mutants for a diverse set of phenotypes. Results from this project are discussed that highlight the strengths and limitations of the approach. We describe discovery of altered fatty acid desaturation phenotypes associated with mutants of At1g10310, previously described as a pterin aldehyde reductase in folate metabolism. Data are presented to show that growth, fatty acid and chlorophyll fluorescence defects previously associated with antisense inhibition of synthesis of the family of acyl carrier proteins can be attributed to a single gene insertion in ACP4 (At4g25050). A variety of cautionary examples associated with the use of sequence-indexed T-DNA mutants are described, including the need to genotype all lines chosen for analysis (even when they number in the thousands), and the presence of tagged and untagged secondary mutations that can lead to the observed phenotypes.






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