Advancements in noninvasive koala monitoring through combining Chlamydia detection with a targeted koala genotyping assay.

Wildlife diseases are major players in local and global extinctions. Effective disease surveillance, management and conservation strategies require accurate estimates of pathogen prevalence. Yet pathogen detection in wild animals remains challenging.

Autonomous Spiral Motion by a Small-Type Robot on an Obstacle-Available Surface.

Several robot-related studies have been conducted in recent years; however, studies on the autonomous travel of small mobile robots in small spaces are lacking. In this study, we investigate the development of autonomous travel for small robots that need to travel and cover the entire smooth surface, such as those employed for cleaning tables or solar panels. We consider an obstacle-available surface and target this travel on it by proposing a spiral motion method.

First High-Density Linkage Map and Single Nucleotide Polymorphisms Significantly Associated With Traits of Economic Importance in Yellowtail Kingfish .

The genetic resources available for the commercially important fish species Yellowtail kingfish (YTK) ( are relative sparse. To overcome this, we aimed (1) to develop a linkage map for this species, and (2) to identify markers/variants associated with economically important traits in kingfish (with an emphasis on body weight). Genetic and genomic analyses were conducted using 13,898 single nucleotide polymorphisms (SNPs) generated from a new high-throughput genotyping by sequencing platform, Diversity Arrays Technology (DArTseq) in a pedigreed population comprising 752 animals.

Genomic prediction using DArT-Seq technology for yellowtail kingfish Seriola lalandi.

Background: Genomic prediction using Diversity Arrays Technology (DArT) genotype by sequencing platform has not been reported in yellowtail kingfish (Seriola lalandi). The principal aim of this study was to address this knowledge gap and to assess predictive ability of genomic Best Linear Unbiased Prediction (gBLUP) for traits of commercial importance in a yellowtail kingfish population comprising 752 individuals that had DNA sequence and phenotypic records for growth traits (body weight, fork length and condition index). The gBLUP method was used due to its computational efficiency and it showed similar predictive performance to other approaches, especially for traits whose variation is of polygenic nature, such as body traits analysed in this study.