The Oryza Map Alignment Project: The Golden Path to Unlocking the Genetic Potential of Wild Rice Species

The wild species of the genus Oryza offer enormous potential to make a significant impact on agricultural productivity of the cultivated rice species Oryza sativa and Oryza glaberrima. To unlock the genetic potential of wild rice we have initiated a project entitled the ‘Oryza Map Alignment Project’ (OMAP) with the ultimate goal of constructing and aligning BAC/STC based physical maps of 11 wild and one cultivated rice species to the International Rice Genome Sequencing Project’s finished reference genome – O. sativa ssp. japonica c. v. Nipponbare. The 11 wild rice species comprise nine different genome types and include six diploid genomes (AA, BB, CC, EE, FF and GG) and four tetrapliod genomes (BBCC, CCDD, HHKK and HHJJ) with broad geographical distribution and ecological adaptation. In this paper we describe our strategy to construct robust physical maps of all 12 rice species with an emphasis on the AA diploid O. nivara – thought to be the progenitor of modern cultivated rice.     

A protein canyon in the FGF-FGF receptor dimer selects from an à la carte menu of heparan sulfate motifs

Heparan sulfate (HS) is an essential and dynamic regulator of fibroblast growth factor (FGF) signaling. Two fundamentally different crystallographic models have been proposed to explain, at the molecular level, how HS/heparin enables FGF and FGF receptor (FGFR) to assemble into a functional dimer on the cell surface. In the symmetric 'two-end' model, the heparin-binding sites of FGF and FGFR merge to form a basic canyon that recruits two HS for binding. Within this canyon, the HS molecules primarily act to orchestrate and fortify multivalent and cooperative protein-protein contacts within the dimer that are the foundations of dimerization. In contrast, in the asymmetric model, which mechanistically resembles the previously proposed trans FGF dimer model, a single heparin molecule facilitates dimerization by cross-linking two FGFs into a trans dimer that brings together the two FGFRs. Interestingly, the crystal structure upon which the asymmetric model is based contains a symmetric dimer reminiscent of the symmetric two-end model, suggesting that a different interpretation of the crystal structure has led to the postulation of the asymmetric model. Importantly, the symmetric two-end model provides an intriguing solution to the problem of how HS selectivity is achieved in FGF signaling. The model reveals that, within the canyon, FGF and FGFR no longer adhere to their individual HS binding specificities, but instead act in unison to search for a unique HS motif from a plethora of HS epitopes that are expressed in a tissue-specific and developmentally regulated fashion. Primary sequence differences within the heparin-binding sites of FGFs and FGFRs, together with ligand-induced changes in FGFR conformation, lead to the formation of distinct canyons with unique HS specificity for individual FGF-FGFR complexes.     

Heparan sulfate proteoglycans mediate attachment and entry of human T-cell leukemia virus type 1 virions into CD4+ T cells

Heparan sulfate proteoglycans (HSPGs) are used by a number of viruses to facilitate entry into host cells. For the retrovirus human T-cell leukemia virus type 1 (HTLV-1), it has recently been reported that HSPGs are critical for efficient binding of soluble HTLV-1 SU and the entry of HTLV pseudotyped viruses into non-T cells. However, the primary in vivo targets of HTLV-1, CD4(+) T cells, have been reported to express low or undetectable levels of HSPGs. For this study, we reexamined the expression of HSPGs in CD4(+) T cells and examined their role in HTLV-1 attachment and entry. We observed that while quiescent primary CD4(+) T cells do not express detectable levels of HSPGs, HSPGs are expressed on primary CD4(+) T cells following immune activation. Enzymatic modification of HSPGs on the surfaces of either established CD4(+) T-cell lines or primary CD4(+) T cells dramatically reduced the binding of both soluble HTLV-1 SU and HTLV-1 virions. HSPGs also affected the efficiency of HTLV-1 entry, since blocking the interaction with HSPGs markedly reduced both the internalization of HTLV-1 virions and the titer of HTLV-1 pseudotyped viral infection in CD4(+) T cells. Thus, HSPGs play a critical role in the binding and entry of HTLV-1 into CD4(+) T cells.     

Restricted STAT5 activation dictates appropriate thymic B versus T cell lineage commitment

The molecular mechanisms regulating lymphocyte lineage commitment remain poorly characterized. To explore the role of the IL7R in this process, we generated transgenic mice that express a constitutively active form of STAT5 (STAT5b-CA), a key downstream IL7R effector, throughout lymphocyte development. STAT5b-CA mice exhibit a 40-fold increase in pro-B cells in the thymus. As documented by BrdU labeling studies, this increase is not due to enhanced B cell proliferation. Thymic pro-B cells in STAT5b-CA mice show a modest increase in cell survival ( approximately 4-fold), which correlates with bcl-x(L) expression. However, bcl-x(L) transgenic mice do not show increases in thymic B cell numbers. Thus, STAT5-dependent bcl-x(L) up-regulation and enhanced B cell survival are not sufficient to drive the thymic B cell development observed in STAT5b-CA mice. Importantly, thymic pro-B cells in STAT5b-CA mice are derived from early T cell progenitors (ETPs), suggesting that STAT5 acts by altering ETP lineage commitment. Supporting this hypothesis, STAT5 binds to the pax5 promoter in ETPs from STAT5b-CA mice and induces pax5, a master regulator of B cell development. Conversely, STAT5b-CA mice exhibit a decrease in the DN1b subset of ETPs, demonstrating that STAT5 activation inhibits early T cell differentiation or lineage commitment. On the basis of these findings, we propose that the observed expression of the IL-7R on common lymphoid progenitors, but not ETPs, results in differential STAT5 signaling within these distinct progenitor populations and thus helps ensure appropriate development of B cells and T cells in the bone marrow and thymic environments, respectively.     

'PACLIMS': A component LIM system for high-throughput functional genomic analysis

Background

Recent advances in sequencing techniques leading to cost reduction have resulted in the generation of a growing number of sequenced eukaryotic genomes. Computational tools greatly assist in defining open reading frames and assigning tentative annotations. However, gene functions cannot be asserted without biological support through, among other things, mutational analysis. In taking a genome-wide approach to functionally annotate an entire organism, in this application the ~11,000 predicted genes in the rice blast fungus (Magnaporthe grisea), an effective platform for tracking and storing both the biological materials created and the data produced across several participating institutions was required.

Results

The platform designed, named PACLIMS, was built to support our high throughput pipeline for generating 50,000 random insertion mutants of Magnaporthe grisea. To be a useful tool for materials and data tracking and storage, PACLIMS was designed to be simple to use, modifiable to accommodate refinement of research protocols, and cost-efficient. Data entry into PACLIMS was simplified through the use of barcodes and scanners, thus reducing the potential human error, time constraints, and labor. This platform was designed in concert with our experimental protocol so that it leads the researchers through each step of the process from mutant generation through phenotypic assays, thus ensuring that every mutant produced is handled in an identical manner and all necessary data is captured.

Conclusion

Many sequenced eukaryotes have reached the point where computational analyses are no longer sufficient and require biological support for their predicted genes. Consequently, there is an increasing need for platforms that support high throughput genome-wide mutational analyses. While PACLIMS was designed specifically for this project, the source and ideas present in its implementation can be used as a model for other high throughput mutational endeavors.