Unknown

Dataset Information

0

The Sleep Inbred Panel, a Collection of Inbred Drosophila melanogaster with Extreme Long and Short Sleep Duration.


ABSTRACT: Understanding how genomic variation causes differences in observable phenotypes remains a major challenge in biology. It is difficult to trace the sequence of events originating from genomic variants to changes in transcriptional responses or protein modifications. Ideally, one would conduct experiments with individuals that are at either extreme of the trait of interest, but such resources are often not available. Further, advances in genome editing will enable testing of candidate polymorphisms individually and in combination. Here we have created a resource for the study of sleep with 39 inbred lines of Drosophila-the Sleep Inbred Panel (SIP). SIP lines have stable long- and short-sleeping phenotypes developed from naturally occurring polymorphisms. These lines are fully sequenced, enabling more accurate targeting for genome editing and transgenic constructs. This panel facilitates the study of intermediate transcriptional and proteomic correlates of sleep, and supports genome editing studies to verify polymorphisms associated with sleep duration.

SUBMITTER: Serrano Negron YL 

PROVIDER: S-EPMC6118319 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

The Sleep Inbred Panel, a Collection of Inbred <i>Drosophila melanogaster</i> with Extreme Long and Short Sleep Duration.

Serrano Negron Yazmin L YL   Hansen Nancy F NF   Harbison Susan T ST  

G3 (Bethesda, Md.) 20180830 9


Understanding how genomic variation causes differences in observable phenotypes remains a major challenge in biology. It is difficult to trace the sequence of events originating from genomic variants to changes in transcriptional responses or protein modifications. Ideally, one would conduct experiments with individuals that are at either extreme of the trait of interest, but such resources are often not available. Further, advances in genome editing will enable testing of candidate polymorphism  ...[more]

Similar Datasets

| S-EPMC5730107 | biostudies-literature
| S-EPMC3581861 | biostudies-literature
| S-EPMC7318870 | biostudies-literature
| S-EPMC7691507 | biostudies-literature
| PRJNA353308 | ENA
| S-EPMC8891225 | biostudies-literature
| PRJNA217077 | ENA
| S-EPMC3683990 | biostudies-literature
| S-EPMC7790216 | biostudies-literature
| S-EPMC6520144 | biostudies-literature