Background: We investigated the roles of p120 catenin, Cdc42, Rac1, and RhoA GTPases in regulating migration of presomitic mesoderm cells in zebrafish embryos. p120 catenin has dual roles: It binds the intracellular and juxtamembrane region of cadherins to stabilize cadherin-mediated adhesion with the aid of RhoA GTPase, and it activates Cdc42 GTPase and Rac1 GTPase in the cytosol to initiate cell motility. Results: During gastrulation of zebrafish embryos, knockdown of the synthesis of zygotic p120 catenind1 mRNAs with a splice-site morpholino caused lateral widening and anterior-posterior shortening of the presomitic mesoderm and somites and a shortened anterior-posterior axis. These phenotypes indicate a cell-migration effect. Co-injection of low amounts of wild-type Cdc42 or wild-type Rac1 or dominant-negative RhoA mRNAs, but not constitutively-active Cdc42 mRNA, rescued these p120 catenin d1-depleted embryos. Conclusions: These downstream small GTPases require appropriate spatiotemporal stimulation or cycling of GTP to guide mesodermal cell migration. A delicate balance of Rho GTPases and p120 catenin underlies normal development. Developmental Dynamics 241:1545-1561, 2012. V C 2012 Wiley Periodicals Inc.Key words: p120 Catenin (CTNND1); ARVCF; Delta-catenin (CTNND2b); Cdc42 GTPase; Rac1 GTPase, RhoA GTPase; gastrulation; presomitic mesoderm; somites; zebrafish Key findings p120 catetin is required for extension of the dorsal axis and normal migration of the presomitic mesoderm. Cdc42 and Rac1 GTPases are downstream of p120 catenin d1 signaling and require exchange of GTP for GDP. Local stimulation of the exchange of GTP for GDP in Cdc42 and Rac GTPases mediates directional migration of the presomitic mesoderm. A balance of the amount of p120 catenin d1 and localized activation or turnover of Cdc42, Rac1, and Rho GTPase are required for normal zebrafish cell migration. Accepted 31 July 2012 Developmental DynamicsABBREVIATIONS Ab antibody ARVCF armadillo repeat gene deleted in velo-cardio-facial syndrome CA constitutively active Chr chromosome C(t) relative amount of RT-PCR product hpf hours post-fertilization DN dominant negative d1 splice-MO antisense morpholino oligonucleotide to the 12 th splice site of zebrafish p120 catenin d1 p120 catenin d1 (CTNND1) also called p120 catenin, Xenopus p120 catenin is a CTNND1 p120 catenin d2b (CTNND2b) also called Delta-catenin Rok1 Rho kinase1 RT reverse transcriptase minus-RT controls without reverse transcriptase qRT-PCR quantitative real-time PCR WT wild-type Xp120 catenin mRNA Xenopus p120 catenin d1 mRNA.Additional Supporting Information may be found in the online version of this article.

Primary succession is controlled by a combination of landscape and habitat factors whose actions may be stochastic or deterministic. The 1980 eruption of Mount St. Helens, Washington spawned a massive lahar that now supports a mosaic of vegetation. Our goals were to describe vegetation patterns after 28 growing seasons, determine the factors associated with these patterns, and to contrast the effects of stochastic and deterministic processes. We described species composition and explanatory factors that included location and habitat features in one hundred and fifty one 200-m 2 plots. We classified these plots into nine community types (CTs) that were distinguished quantitatively by variations in dominant species. We used multiple regressions, redundancy analysis (RDA), and Mantel tests to compare the vegetation relationships with explanatory factors. Plots in different CTs mingled spatially and in multivariate space. Species patterns were weakly related to explanatory variables by RDA (31.6% of the species variation). RDA indicated that vegetation was most strongly related to elevation, latitude, and isolation, which are primarily landscape factors. Mantel tests confirmed that factors associated with elevation were most closely associated with vegetation. The effects of arrival order were suggested by the dominance of different colonizers in similar environment and by plots with similar vegetation found in different habitats. We concluded that species composition cannot be predicted well from the data available, suggesting that there were no prominent deterministic assembly rules.