The first complete mitochondrial genome of Matsucoccidae (Hemiptera, Coccoidea) and implications for its phylogenetic position.

The mitochondrial genome (mitogenome) has been extensively used to better understand the phylogenetic relationships within the hemipteran suborder Sternorrhyncha, but sequenced mitogenomes remain unavailable for the entire family Matsucoccidae to date. To address this, here we sequenced the complete mitogenome of ; the first for this family. The mitogenome is 15,360 bp in size and comprises the typical set of 37 mitochondrial genes and a large non-coding region (AT-rich region).

Characterization of the complete mitochondrial genome of Borchmann, 1936 (Coleoptera: Tenebrionidae).

In this study, we sequenced the complete mitochondrial genome (mitogenome) of Borchmann, 1936 based on the Illumina platform. The circular DNA molecule is 16,175 bp in size, including the 37 typical animal mitochondrial genes and a non-coding control region. All 37 genes are arranged in the same order as the previously reported most mitogenomes of Tenebrionidae.

Using triallelic SNPs for determining parentage in North American yak ( ) and estimating cattle ( ) introgression.

 Genetic testing for pedigree accuracy is critical for managing genetic diversity in North American (NA) yak ( ), a population expanded mostly from imported zoological park specimens.  DNA testing also enhances species conservation by identifying recent F1 hybrid ancestors (within three generations).  Biallelic single nucleotide polymorphisms (SNPs) can accomplish either task, but increases the marker count and costs necessary to achieve both.

Using diverse U.S. beef cattle genomes to identify missense mutations in a gene associated with pulmonary hypertension.

The availability of whole genome sequence (WGS) data has made it possible to discover protein variants . However, existing bovine WGS databases do not show data in a form conducive to protein variant analysis, and tend to under represent the breadth of genetic diversity in global beef cattle. Thus, our first aim was to use 96 beef sires, sharing minimal pedigree relationships, to create a searchable and publicly viewable set of mapped genomes relevant for 19 popular breeds of U.

Optimal Design of Low-Density SNP Arrays for Genomic Prediction: Algorithm and Applications.

Low-density (LD) single nucleotide polymorphism (SNP) arrays provide a cost-effective solution for genomic prediction and selection, but algorithms and computational tools are needed for the optimal design of LD SNP chips. A multiple-objective, local optimization (MOLO) algorithm was developed for design of optimal LD SNP chips that can be imputed accurately to medium-density (MD) or high-density (HD) SNP genotypes for genomic prediction. The objective function facilitates maximization of non-gap map length and system information for the SNP chip, and the latter is computed either as locus-averaged (LASE) or haplotype-averaged Shannon entropy (HASE) and adjusted for uniformity of the SNP distribution.

Stable aqueous dispersion of ZnO quantum dots with strong blue emission via simple solution route.

The aqueous dispersion of ZnO quantum dots (QDs) with strong blue emission (quantum yield of 76%) was synthesized through a simple solution route. The water stability of such QDs is provided by the hydroxyl groups on their surface, and the strong blue emission is suggested to arise from the formation of surface ZnO/oleic acid complexes. Under irradiation, these complexes are thought to absorb the excitation light with 3.