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Biology subjects

Reece, J.

Publications and source records attributed to Reece, J..

2 recordsLinked to original sources

Studies of mice with a large deletion of the ARPKD-associated Pkhd1 locus likely explain its GWAS association with glaucoma in humans

PKHD1, the gene primarily mutated in human autosomal recessive polycystic kidney disease, is one of the top 20 genes associated with primary open angle glaucoma (POAG) and associated endophenotypes in Genome-Wide Association Studies. Here, we show that Pkhd1del3-67/del3-67 mutant mice develop congenital glaucoma due to anterior segment dysgenesis. Using a combination of genetic, epigenetic, bioinformatics and mouse developmental biology approaches, we show that Pkhd1del3-67/del3-67 mice lack Tfap2b and AP-2{beta} expression in a subset of periocular mesenchymal cells at E13.5 and its derivatives. Our data suggest that the Pkhd1del3-67 deletion disrupts features of the Pkhd1-Tfap2b genomic architecture essential for Tfap2b cell-specific activities. Consistent with this model, Pkhd1del3-67/+;Tfap2bko/+trans-heterozygotes lack Tfap2b and AP-2{beta} in relevant cell-types and have similar eye abnormalities as neural crest cell-specific Tfap2bko mutants. These findings provide a likely causal explanation for how SNPs associated with PKHD1 are functionally linked to POAG and add insight into understanding the complexity of disease-causing SNP associations and gene regulatory mechanisms.

genetics↗

Automatic Analysis of Bees' Waggle Dance

This work describe an algorithm for the automatic analysis of the waggle dance of honeybees. The algorithm analyses a video of a beehive with 13,624 frames, acquired at 25 frames/second. The algorithm employs the following traditional image processing steps: conversion to grayscale, low pass filtering, background subtraction, thresholding, tracking and clustering to detect run of bees that perform waggle dances. The algorithm detected 44,530 waggle events, i.e. one bee waggling in one time frame, which were then clustered into 511 waggle runs. Most of these were concentrated in one section of the hive. The accuracy of the tracking was 90% and a series of metrics like intra-dance variation in angle and duration were found to be consistent with literature. Whilst this algorithm was tested on a single video, the ideas and steps, which are simple as compared with Machine and Deep Learning techniques, should be attractive for researchers in this field who are not specialists in more complex techniques.

animal behavior and cognition↗