We would like to congratulate Marie-Anne Felix, Asher Cutter and Christian Braendle on their publication in PLoS One, which describes new name designations for 15 new nematode species.
Of special interest to WormBase users:
Paper of Interest: Pristionchus population studies
we would like to point out: Characterization of genetic diversity in the nematode Pristionchus pacifi cus from population-scale resequencing data from Christian Rodelsperger, et.al published in Genetics.
It describes the natural populations of Pristionchus spp. based on sequencing of 104 strains of Pristionchus pacificus and its close relative Pristionchus exspectatus.
New issue of The Worm Breeder's Gazette available
Dear Worm Researchers,
Volume 20, Number 1 of The Worm Breeder’s Gazette has been published. In addition to a meeting announcement, several new lab announcements, worm art, and worm humor, this issue contains several articles describing new or improved techniques. These include improvements in the use of whole genome sequencing for mutant identification, a report on the use of CRISPR/Cas9 to target cis-regulatory regions, a multiply fluorescent strain for outcrossing Million Mutation Project alleles and linkage mapping, a method to improve growth in primary cultures of C. elegans cells, and an improved method for preserving histological samples.
Please proceed to read the exciting pieces of this new issue, and we look forward to your contribution to our next one.
Thank you for your interest in The Worm Breeder’s Gazette.
Sincerely,
Jane
C. elegans paper wins AAAS Newcomb Cleaveland Prize for best Science paper
Congratulations to Jarrell, T.A., et. al, (Science 337: 437-444, 2012), the authors of a study describing the complete wiring diagram for the part of the nervous system that controls mating behavior in the C. elegans male . This paper was chosen as the most outstanding paper published in Science in the year June 2012 to May 2013.
Quick tips on how to use the Gene Ontology
WormBase uses ontologies developed by the Gene Ontology (GO) Consortium to describe the biology of genes. For a quick and informative article on using the GO, please see this paper in PLOS Computational Biology.