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McCluskey, B.

Publications and source records attributed to McCluskey, B..

3 recordsLinked to original sources

A zebrafish ribosomopathy links Ddx49-dependent ribosome biogenesis to differential failure of population expansion among pigment cell lineages

Defects in ribosome biogenesis cause surprisingly cell-type specific pathologies. Why some cells are more vulnerable than others remains unresolved. Here, we show that a zebrafish pigment pattern mutant, sisley, results from a viable missense allele of ddx49, encoding a DEAD-box RNA helicase required for small ribosomal subunit biogenesis and early survival. In mutants, yellow/orange xanthophores fail to proliferate during development of the adult stripe pattern, whereas closely related melanophores are affected only mildly. The mutant protein has reduced helicase but increased ATPase activity and, consistent with impaired ribosome biogenesis in vivo, mutants are deficient in 18S rRNA relative to its precursor. Remarkably, a similar deficiency in 18S rRNA relative to precursor rRNA distinguishes xanthophores from melanophores even in the wild-type, suggesting an inherent difference in rRNA processing that leaves xanthophores vulnerable to Ddx49 dysfunction. Both xanthophore deficiency and a male-biased sex ratio of the sisley mutant were rescued by mutation of tp53. Our findings suggest how baseline differences in ribosome production shape cell-type specific outcomes of mutations affecting ribosome biogenesis, and provide an adult-viable model for Ddx49 function in vivo.

developmental biology↗

Surveillance on California dairy farms reveals multiple sources of H5N1 transmission

Transmission routes of highly pathogenic H5N1 between cows or to humans remain unclear due to limited data from affected dairy farms. We performed air, farm wastewater, and milk sampling on 14 H5N1 positive dairy farms across two different California regions. Infectious virus was detected in the air in milking parlors and in wastewater streams, while viral RNA was found in exhaled breath of cows. Sequence analysis of infectious H5N1 virus from air and wastewater samples on one farm revealed viral variants relevant for potential human susceptibility. Longitudinal analysis of milk from the individual quarters of cows revealed a high prevalence of subclinical H5N1 positive cows. Additionally, a heterogeneous distribution of infected quarters that maintained a consistent pattern over time was observed, inconsistent with shared milking equipment serving as the sole transmission mode. The presence of subclinically infected cows was further supported by detection of antibodies in the milk of animals that exhibited no clinical signs during the H5N1 outbreak on one farm. Our data highlight additional sources and potential modes of H5N1 transmission on dairy farms.

microbiology↗

RADSex: a computational workflow to study sex determination using Restriction Site-Associated DNA Sequencing data

The study of sex determination and sex chromosome organisation in non-model species has long been technically challenging, but new sequencing methodologies are now enabling precise and high-throughput identification of sex-specific genomic sequences. In particular, Restriction Site-Associated DNA Sequencing (RAD-Seq) is being extensively applied to explore sex determination systems in many plant and animal species. However, software designed to specifically search for sex-biased markers using RAD-Seq data is lacking. Here, we present RADSex, a computational analysis workflow designed to study the genetic basis of sex determination using RAD-Seq data. RADSex is simple to use, requires few computational resources, makes no prior assumptions about type of sex-determination system or structure of the sex locus, and offers convenient visualization through a dedicated R package. To demonstrate the functionality of RADSex, we re-analyzed a published dataset of Japanese medaka, Oryzias latipes, where we uncovered a previously unknown Y chromosome polymorphism. We then used RADSex to analyze new RAD-Seq datasets from 15 fish species spanning multiple systematic orders. We identified the sex determination system and sex-specific markers in six of these species, five of which had no known sex-markers prior to this study. We show that RADSex greatly facilitates the study of sex determination systems in non-model species and outperforms the commonly used RAD-Seq analysis software STACKS. RADSex in speed, resource usage, ease of application, and visualization options. Furthermore, our analysis of new datasets from 15 species provides new insights on sex determination in fish.

bioinformatics↗