Forward genetic screens in model organisms are vital for identifying novel genes essential for developmental or disease processes. One drawback of these screens is the labor-intensive and sometimes inconclusive process of mapping the causative mutation. To leverage high-throughput techniques to improve this mapping process, we have developed a Mutation Mapping Analysis Pipeline for Pooled RNA-seq (MMAPPR) that works without parental strain information or requiring a preexisting SNP map of the organism, and adapts to differential recombination frequencies across the genome. MMAPPR accommodates the considerable amount of noise in RNA-seq data sets, calculates allelic frequency by Euclidean distance followed by Loess regression analysis, identifies the region where the mutation lies, and generates a list of putative coding region mutations in the linked genomic segment. MMAPPR can exploit RNA-seq data sets from isolated tissues or whole organisms that are used for gene expression and transcriptome analysis in novel mutants. We tested MMAPPR on two known mutant lines in zebrafish, nkx2.5 and tbx1, and used it to map two novel ENU-induced cardiovascular mutants, with mutations found in the ctr9 and cds2 genes. MMAPPR can be directly applied to other model organisms, such as Drosophila and Caenorhabditis elegans, that are amenable to both forward genetic screens and pooled RNA-seq experiments. Thus, MMAPPR is a rapid, cost-efficient, and highly automated pipeline, available to perform mutant mapping in any organism with a well-assembled genome.

Background: Genome editing techniques, including ZFN, TALEN, and CRISPR, have created a need to rapidly screen many F1 individuals to identify carriers of indels and determine the sequences of the mutations. Current techniques require multiple clones of the targeted region to be sequenced for each individual, which is inefficient when many individuals must be analyzed. Direct Sanger sequencing of a polymerase chain reaction (PCR) amplified region surrounding the target site is efficient, but Sanger sequencing genomes heterozygous for an indel results in a string of “double peaks” due to the mismatched region. Results: To facilitate indel identification, we developed an online tool called Poly Peak Parser (available at http://yost.genetics.utah.edu/software.php) that is able to separate chromatogram data containing ambiguous base calls into wild‐type and mutant allele sequences. This tool allows the nature of the indel to be determined from a single sequencing run per individual performed directly on a PCR product spanning the targeted site, without cloning. Conclusions: The method and algorithm described here facilitate rapid identification and sequence characterization of heterozygous mutant carriers generated by genome editing. Although designed for screening F1 individuals, this tool can also be used to identify heterozygous indels in many contexts. Developmental Dynamics 243:1632–1636, 2014. © 2014 The Authors. Developmental Dynamics published by Wiley Periodicals, Inc. on behalf of American Association of Anatomists

Pancreatic islet cells provide the major source of counteractive endocrine hormones required for maintaining glucose homeostasis; severe health problems result when these cell types are insufficiently active or reduced in number. Therefore, the process of islet endocrine cell lineage allocation is critical to ensure there is a correct balance of islet cell types. There are four endocrine cell types within the adult islet, including the glucagon-producing alpha cells, insulin-producing beta cells, somatostatin-producing delta cells and pancreatic polypeptide-producing PP cells. A fifth islet cell type, the ghrelin-producing epsilon cells, is primarily found during gestational development. Although hormone expression is generally assumed to mark the final entry to a determined cell state, we demonstrate in this study that ghrelin-expressing epsilon cells within the mouse pancreas do not represent a terminally differentiated endocrine population. Ghrelin cells give rise to significant numbers of alpha and PP cells and rare beta cells in the adult islet. Furthermore, pancreatic ghrelin-producing cells are maintained in pancreata lacking the essential endocrine lineage regulator Neurogenin3, and retain the ability to contribute to cells within the pancreatic ductal and exocrine lineages. These results demonstrate that the islet ghrelin-expressing epsilon cells represent a multi-potent progenitor cell population that delineates a major subgrouping of the islet endocrine cell populations. These studies also provide evidence that many of hormone-producing cells within the adult islet represent heterogeneous populations based on their ontogeny, which could have broader implications on the regulation of islet cell ratios and their ability to effectively respond to fluctuations in the metabolic environment during development.

Human amniotic fluid contains cells that potentially have important stem cell characteristics, yet the programs controlling their developmental potency are unclear. Here, we provide evidence that amniocytes derived from multiple patients are marked by heterogeneity and variability in expression levels of pluripotency markers. Clonal analysis from multiple patients indicates that amniocytes have large pools of self-renewing cells that have an inherent property to give rise to a distinct amniocyte phenotype with a heterogeneity of pluripotent markers. Significant to their therapeutic potential, genome-wide profiles are distinct at different gestational ages and times in culture, but do not differ between genders. Based on hierarchical clustering and differential expression analyses of the entire transcriptome, amniocytes express canonical regulators associated with pluripotency and stem cell repression. Their profiles are distinct from human embryonic stem cells (ESCs), induced-pluripotent stem cells (iPSCs), and newborn foreskin fibroblasts. Amniocytes have a complex molecular signature, coexpressing trophoblastic, ectodermal, mesodermal, and endodermal cell-type-specific regulators. In contrast to the current view of the ground state of stem cells, ESCs and iPSCs also express high levels of a wide range of cell-type-specific regulators. The coexpression of multilineage differentiation markers combined with the strong expression of a subset of ES cell repressors in amniocytes suggests that these cells have a distinct phenotype that is unlike any other known cell-type or lineage.

The zebrafish is an invaluable model organism for genetic, developmental, and disease research. Although its high conservation with humans is often cited as justification for its use, the zebrafish harbors oft-ignored genetic characteristics that may provide unique insights into gene structure and function. Zebrafish, along with other teleost fish, underwent an additional round of whole genome duplication after their split from tetrapods—resulting in an abundance of duplicated genes when compared to other vertebrates. These duplicated genes have evolved in distinct ways over the ensuing 350 million years. Thus, each gene within a duplicated gene pair has nuanced differences that create a unique identity. By investigating both members of the gene pair together, we can elucidate the mechanisms that underly protein structure and function and drive the complex interplay within biological systems, such as signal transduction cascades, genetic regulatory networks, and evolution of tissue and organ function. It is crucial to leverage such studies to explore these molecular dynamics, which could have far-reaching implications for both basic science and therapeutic development. Here, we will review the role of gene duplications and the existing models for gene divergence and retention following these events. We will also highlight examples within each of these models where studies comparing duplicated genes in the zebrafish have yielded key insights into protein structure, function, and regulation.