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Using conventional F-statistics to study unconventional sex-chromosome differentiation.

ABSTRACT: Species with undifferentiated sex chromosomes emerge as key organisms to understand the astonishing diversity of sex-determination systems. Whereas new genomic methods are widening opportunities to study these systems, the difficulty to separately characterize their X and Y homologous chromosomes poses limitations. Here we demonstrate that two simple F-statistics calculated from sex-linked genotypes, namely the genetic distance (Fst) between sexes and the inbreeding coefficient (Fis) in the heterogametic sex, can be used as reliable proxies to compare sex-chromosome differentiation between populations. We correlated these metrics using published microsatellite data from two frog species (Hyla arboreaand Rana temporaria), and show that they intimately relate to the overall amount of X-Y differentiation in populations. However, the fits for individual loci appear highly variable, suggesting that a dense genetic coverage will be needed for inferring fine-scale patterns of differentiation along sex-chromosomes. The applications of these F-statistics, which implies little sampling requirement, significantly facilitate population analyses of sex-chromosomes.

SUBMITTER: Rodrigues N

PROVIDER: S-EPMC5410149 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Using conventional F-statistics to study unconventional sex-chromosome differentiation.

Rodrigues Nicolas N Dufresnes Christophe C

PeerJ 20170427

Species with undifferentiated sex chromosomes emerge as key organisms to understand the astonishing diversity of sex-determination systems. Whereas new genomic methods are widening opportunities to study these systems, the difficulty to separately characterize their X and Y homologous chromosomes poses limitations. Here we demonstrate that two simple F-statistics calculated from sex-linked genotypes, namely the genetic distance (Fst) between sexes and the inbreeding coef ...[more]

PMID: 28462023

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Project description:Protein secretion is an essential process in cell biology. The conventional secretion pathway is well known, and involves proteins with a signal sequence being directed into the endoplasmic reticulum. Once in the lumen of the endoplasmic reticulum, proteins are trafficked through the Golgi and remain separate from the cytosol throughout their journey to the outside of the cell. More recently, proteins without a signal sequence have been found outside the cell. These proteins are secreted unconventionally, and avoid the ER-Golgi route. For both pathways, some aspects remain unclear, particularly surrounding the regulation of protein secretion. Galectin-3, an unconventionally secreted protein, was used here to investigate both conventional and unconventional protein secretion. The unconventional protein secretion of galectin-3 is poorly understood. To address this, genetic manipulation of galectin-3 was used to gain insights into the mechanism of galectin-3 secretion. It was found that galectin-3 does not require unfolding or binding to cell surface glycoproteins to be secreted. Galectin-3 was also used to assess protein secretion using a genome-wide CRISPR screen. As galectin‑3 binds to cell surface glycoproteins, galectin-3 on the cell surface was used to assess secretion of these glycoproteins. Hits were validated by a glycoprotein secretion assay. Using this pipeline, 93 hits were identified as involved in protein secretion, of which 51 were novel hits not previously associated with protein secretion. Many of the hits identified also resulted in a phenotype of altered Golgi morphology, and five of these were investigated further. Two novel hits that localised to the Golgi were identified, TMEM220 and GPR161. GPR161 likely mediates its effect on Golgi morphology by its interaction with golgin A5. This thesis presents new insights into both conventional and unconventional protein secretion. Insights into the mechanism for galaectin-3 secretion were revealed. A novel Golgi-localised regulator of secretion, GRP161, was identified, with a mechanism for action suggested. Importantly, the list of 51 novel genes identified will serve as a useful resource for other researchers investigating protein secretion.

Dataset Information

Using conventional F-statistics to study unconventional sex-chromosome differentiation.

Publications

Using conventional <i>F</i>-statistics to study unconventional sex-chromosome differentiation.

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