Zebrafish Tbx16 regulates intermediate mesoderm cell fate by attenuating Fgf activity.

Progenitors of the zebrafish pronephros, red blood and trunk endothelium all originate from the ventral mesoderm and often share lineage with one another, suggesting that their initial patterning is linked. Previous studies have shown that spadetail (spt) mutant embryos, defective in tbx16 gene function, fail to produce red blood cells, but retain the normal number of endothelial and pronephric cells. We report here that spt mutants are deficient in all the types of early blood, have fewer endothelial cells as well as far more pronephric cells compared to wildtype. In vivo cell tracing experiments reveal that blood and endothelium originate in spt mutants almost exclusive from the dorsal mesoderm whereas, pronephros and tail originate from both dorsal and ventral mesoderm. Together these findings suggest possible defects in posterior patterning. In accord with this, gene expression analysis shows that mesodermal derivatives within the trunk and tail of spt mutants have acquired more posterior identity. Secreted signaling molecules belonging to the Fgf, Wnt and Bmp families have been implicated as patterning factors of the posterior mesoderm. Further investigation demonstrates that Fgf and Wnt signaling are elevated throughout the nonaxial region of the spt gastrula. By manipulating Fgf signaling we show that Fgfs both promote pronephric fate and repress blood and endothelial fate. We conclude that Tbx16 plays an important role in regulating the balance of intermediate mesoderm fates by attenuating Fgf activity.

Branch length estimation and divergence dating: estimates of error in Bayesian and maximum likelihood frameworks.

BACKGROUND: Estimates of divergence dates between species improve our understanding of processes ranging from nucleotide substitution to speciation. Such estimates are frequently based on molecular genetic differences between species; therefore, they rely on accurate estimates of the number of such differences (i.e. substitutions per site, measured as branch length on phylogenies). We used simulations to determine the effects of dataset size, branch length heterogeneity, branch depth, and analytical framework on branch length estimation across a range of branch lengths. We then reanalyzed an empirical dataset for plethodontid salamanders to determine how inaccurate branch length estimation can affect estimates of divergence dates. RESULTS: The accuracy of branch length estimation varied with branch length, dataset size (both number of taxa and sites), branch length heterogeneity, branch depth, dataset complexity, and analytical framework. For simple phylogenies analyzed in a Bayesian framework, branches were increasingly underestimated as branch length increased; in a maximum likelihood framework, longer branch lengths were somewhat overestimated. Longer datasets improved estimates in both frameworks; however, when the number of taxa was increased, estimation accuracy for deeper branches was less than for tip branches. Increasing the complexity of the dataset produced more misestimated branches in a Bayesian framework; however, in an ML framework, more branches were estimated more accurately. Using ML branch length estimates to re-estimate plethodontid salamander divergence dates generally resulted in an increase in the estimated age of older nodes and a decrease in the estimated age of younger nodes. CONCLUSIONS: Branch lengths are misestimated in both statistical frameworks for simulations of simple datasets. However, for complex datasets, length estimates are quite accurate in ML (even for short datasets), whereas few branches are estimated accurately in a Bayesian framework. Our reanalysis of empirical data demonstrates the magnitude of effects of Bayesian branch length misestimation on divergence date estimates. Because the length of branches for empirical datasets can be estimated most reliably in an ML framework when branches are <1 substitution/site and datasets are > or =1 kb, we suggest that divergence date estimates using datasets, branch lengths, and/or analytical techniques that fall outside of these parameters should be interpreted with caution.

Rapid identification of germline mutations in retinoblastoma by protein truncation testing.

OBJECTIVE: To demonstrate the utility of protein truncation testing (PTT) for rapid detection and sequencing of germline mutations in the retinoblastoma tumor suppressor gene (RB1). METHODS: We performed PTT, a technique based on the in vitro synthesis of protein from amplified RNA, on 27 probands from 27 kindreds with hereditary retinoblastoma. In 4 kindreds, PTT was also performed on 1 additional affected relative. Ten unrelated patients without retinoblastoma were included as negative control subjects. All PTT-detected mutations were further analyzed by focused sequencing of genomic DNA. When no mutation was detected by PTT, we performed exon-by-exon sequencing, as well as cytogenetic analysis by Giemsa-trypsin-Giemsa banding and by fluorescent in situ hybridization for RB1. The results of proband testing were used for direct genetic testing by polymerase chain reaction and sequencing in 11 relatives from 7 of the 27 kindreds. RESULTS: Of the probands tested, 19 (70%) of 27 tested positive for germline mutations by PTT. In 1 kindred, the proband had negative PTT results but an additional affected relative had positive PTT results. Focused DNA sequencing of 1 patient with positive PTT results from each of the 20 kindreds with positive PTT results revealed truncating mutations in 19 kindreds. Four demonstrated frameshift deletions, 6 had splice site mutations, and 9 showed nonsense mutations. Further analysis by genomic exon-by-exon sequencing and karyotype analysis of the 8 probands who tested negative for germline mutations by PTT revealed 1 splice site mutation, 2 missense mutations, and 1 chromosomal deletion. Focused sequencing based on positive PTT results was successfully used to confirm shared truncating mutations in additional affected family members in 2 kindreds. Using a multitiered approach to genetic testing, 23 (85%) of 27 kindreds had mutations identified and those detected by PTT received a positive result in as few as 7 days. In control subjects, PTT produced no false-positive results. CONCLUSIONS: Protein truncation testing is an effective, rapid single-modality screen for germline mutations in patients with retinoblastoma. When used as an initial screen, PTT can increase the yield of additional testing modalities, such as sequencing and chromosomal analysis, providing a timely and cost-effective approach for the diagnosis of heritable germline mutations in patients with retinoblastoma.Clinical Relevance The clinical application of PTT in retinoblastoma will improve detection of germline retinoblastoma mutations, which will supply critical information for prognosis, treatment planning, follow-up care, and genetic counseling.