Identification, structure, and differential expression of members of a BURP domain containing protein family in soybean.

Expressed sequence tags (ESTs) exhibiting homology to a BURP domain containing gene family were identified from the Glycine max (L.) Merr. EST database. These ESTs were assembled into 16 contigs of variable sizes and lengths. Consistent with the structure of known BURP domain containing proteins, the translation products exhibit a modular structure consisting of a C-terminal BURP domain, an N-terminal signal sequence, and a variable internal region. The soybean family members exhibit 35-98% similarity in a -100-amino-acid C-terminal region, and a phylogenetic tree constructed using this region shows that some soybean family members group together in closely related pairs, triplets, and quartets, whereas others remain as singletons. The structure of these groups suggests that multiple gene duplication events occurred during the evolutionary history of this family. The depth and diversity of G. max EST libraries allowed tissue-specific expression patterns of the putative soybean BURPs to be examined. Consistent with known BURP proteins, the newly identified soybean BURPs have diverse expression patterns. Furthermore, putative paralogs can have both spatially and quantitatively distinct expression patterns. We discuss the functional and evolutionary implications of these findings, as well as the utility of EST-based analyses for identifying and characterizing gene families.     

National Science Foundation-sponsored workshop report. Draft plan for soybean genomics

Recent efforts to coordinate and define a research strategy for soybean (Glycine max) genomics began with the establishment of a Soybean Genetics Executive Committee, which will serve as a communication focal point between the soybean research community and granting agencies. Secondly, a workshop was held to define a strategy to incorporate existing tools into a framework for advancing soybean genomics research. This workshop identified and ranked research priorities essential to making more informed decisions as to how to proceed with large scale sequencing and other genomics efforts. Most critical among these was the need to finalize a physical map and to obtain a better understanding of genome microstructure. Addressing these research needs will require pilot work on new technologies to demonstrate an ability to discriminate between recently duplicated regions in the soybean genome and pilot projects to analyze an adequate amount of random genome sequence to identify and catalog common repeats. The development of additional markers, reverse genetics tools, and bioinformatics is also necessary. Successful implementation of these goals will require close coordination among various working groups.