Isolation, characterization and molecular identification of a novel aquareovirus that infects endangered fountain darter Etheostoma fonticola.

The fountain darter Etheostoma fonticola (FOD) is a federally endangered fish listed under the US Endangered Species Act. Here, we identified and characterized a novel aquareovirus isolated from wild fountain darters inhabiting the San Marcos River. This virus was propagated in Chinook salmon embryo (CHSE)-214, rainbow trout gonad-2 and fathead minnow cells at 15°C. The epithelioma papulosum cyprini cell line was refractory at all temperatures evaluated. High throughput sequencing technologies facilitated the complete genome sequencing of this virus utilizing ribosomal RNA-depleted RNA extracted from infected CHSE-214 cells. Conventional PCR primer sets were developed for the detection and confirmation of this virus to assist diagnostic screening methods. Phylogenetic analysis suggests this virus belongs to the Aquareovirus A genus. This research provides requisite initial data critical to support hatchery and refugia biosecurity measures for this endangered species.

Z chromosome divergence, polymorphism and relative effective population size in a genus of lekking birds.

Sex chromosomes contribute disproportionately to species boundaries as they diverge faster than autosomes and often have reduced diversity. Their hemizygous nature contributes to faster divergence and reduced diversity, as do some types of selection. In birds, other factors (mating system and bottlenecks) can further decrease the effective population size of Z-linked loci and accelerate divergence (Fast-Z). We assessed Z-linked divergence and effective population sizes for two polygynous sage-grouse species and compared them to estimates from birds with various mating systems. We found lower diversity and higher FST for Z-linked loci than for autosomes, as expected. The π(Z)/π(A) ratio was 0.38 in Centrocercus minimus, 0.48 in Centrocercus urophasianus and 0.59 in a diverged, parapatric population of C. urophasianus, a broad range given the mating system among these groups is presumably equivalent. The full data set had unequal males and females across groups, so we compared an equally balanced reduced set of C. minimus and individuals pooled from both C. urophasianus subgroups recovering similar estimates: 0.54 for C. urophasianus and 0.38 for C. minimus. We provide further evidence that N(eZ)/N(eA) in birds is often lower than expected under random mating or monogamy. The lower ratio in C. minimus could be a consequence of stronger selection or drift acting on Z loci during speciation, as this species differs strongly from C. urophasianus in sexually selected characters with minimal mitochondrial divergence. As C. minimus also exhibited lower genomic diversity, it is possible that a more severe demographic history may contribute to its lower ratio.

Annotation and analysis of low-complexity protein families of Anopheles gambiae that are associated with cuticle.

We have characterized four new families of homologous genes of the mosquito, Anopheles gambiae, all of which include members shown by previous work to be cuticular in nature. The CPLCG, CPLCW, CPLCP, and CPLCA families (where CPLC is 'cuticular protein of low complexity') encode proteins with a high proportion of low-complexity sequence. We have also annotated the An. gambiae Tweedle genes, a family of cuticular protein genes first described in Drosophila, and additional ungrouped An. gambiae cuticular proteins identified by proteomics. Our annotations reveal multiple gene-family expansions that are specific to Diptera or Culicidae. The CPLCG and CPLCW families occur within a large and dynamic tandem array on chromosome 3R that includes sets of concertedly evolving genes. Most gene families exhibit two or more different expression profiles during development.

Drosophila cuticular proteins with the R&R Consensus: annotation and classification with a new tool for discriminating RR-1 and RR-2 sequences.

The majority of cuticular protein sequences identified to date from a diversity of arthropods have a conserved region known as the Rebers and Riddiford Consensus (R&R Consensus). This consensus region has been used to query the whole genome sequence of Drosophila melanogaster. One hundred one putative cuticular proteins have been annotated. Of these, 29 had been annotated previously, and for several their authenticity as cuticular proteins had been verified by protein sequence data from isolated cuticles or by localization of their transcripts in epidermis when cuticle synthesis was occurring. The original names have been retained, and the 72 newly annotated proteins have been given names beginning with Cpr followed by the chromosomal band in which the gene is located. Proteins with the R&R Consensus can be split into three groups RR-1, RR-2 and RR-3, with some correlation to the type or region of the cuticle in which they occur. Previous classification was manual and subjective. We now have developed a tool using profile hidden Markov models that allows more objective classification. We describe the development and verification of the validity of this tool that is available at the cuticleDB website http://bioinformatics2.biol.uoa.gr/cuticleDB/index.jsp.

A Comparison of Honey Bee-Collected Pollen From Working Agricultural Lands Using Light Microscopy and ITS Metabarcoding.

Taxonomic identification of pollen has historically been accomplished via light microscopy but requires specialized knowledge and reference collections, particularly when identification to lower taxonomic levels is necessary. Recently, next-generation sequencing technology has been used as a cost-effective alternative for identifying bee-collected pollen; however, this novel approach has not been tested on a spatially or temporally robust number of pollen samples. Here, we compare pollen identification results derived from light microscopy and DNA sequencing techniques with samples collected from honey bee colonies embedded within a gradient of intensive agricultural landscapes in the Northern Great Plains throughout the 2010-2011 growing seasons. We demonstrate that at all taxonomic levels, DNA sequencing was able to discern a greater number of taxa, and was particularly useful for the identification of infrequently detected species. Importantly, substantial phenological overlap did occur for commonly detected taxa using either technique, suggesting that DNA sequencing is an appropriate, and enhancing, substitutive technique for accurately capturing the breadth of bee-collected species of pollen present across agricultural landscapes. We also show that honey bees located in high and low intensity agricultural settings forage on dissimilar plants, though with overlap of the most abundantly collected pollen taxa. We highlight practical applications of utilizing sequencing technology, including addressing ecological issues surrounding land use, climate change, importance of taxa relative to abundance, and evaluating the impact of conservation program habitat enhancement efforts.