@misc{17488,
  abstract     = {Behavioural data for Pokusaeva, Satapathy et al. Relevant information can be found in the 'README.txt' file.},
  author       = {Satapathy, Roshan K and Jösch, Maximilian A and Symonova, Olga and Pokusaeva, Victoria},
  keywords     = {drosophila, behaviour, locomotion, gap junctions},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies}},
  doi          = {10.15479/AT:ISTA:17488},
  year         = {2024},
}

@misc{5757,
  abstract     = {File S1. Variant Calling Format file of the ingroup: 197 haploid sequences of D. melanogaster from Zambia (Africa) aligned to the D. melanogaster 5.57 reference genome.

File S2. Variant Calling Format file of the outgroup: 1 haploid sequence of D. simulans aligned to the D. melanogaster 5.57 reference genome.

File S3. Annotations of each transcript in coding regions with SNPeff: Ps (# of synonymous polymorphic sites); Pn (# of non-synonymous polymorphic sites); Ds (# of synonymous divergent sites); Dn (# of non-synonymous divergent sites); DoS; ⍺ MK . All variants were included.

File S4. Annotations of each transcript in non-coding regions with SNPeff: Ps (# of synonymous polymorphic sites); Pu (# of UTR polymorphic sites); Ds (# of synonymous divergent sites); Du (# of UTR divergent sites); DoS; ⍺ MK . All variants were included.

File S5. Annotations of each transcript in coding regions with SNPGenie: Ps (# of synonymous polymorphic sites); πs (synonymous diversity); Ss_p (total # of synonymous sites in the polymorphism data); Pn (# of non-synonymous polymorphic sites); πn (non-synonymous diversity); Sn_p (total # of non-synonymous sites in the polymorphism data); Ds (# of synonymous divergent sites); ks (synonymous evolutionary rate); Ss_d (total # of synonymous sites in the divergence data); Dn (# of non-synonymous divergent sites); kn (non-synonymous evolutionary rate); Sn_d (total # of non-
synonymous sites in the divergence data); DoS; ⍺ MK . All variants were included.

File S6. Gene expression values (RPKM summed over all transcripts) for each sample. Values were quantile-normalized across all samples.

File S7. Final dataset with all covariates, ⍺ MK , ωA MK and DoS for coding sites, excluding variants below 5% frequency.

File S8. Final dataset with all covariates, ⍺ MK , ωA MK and DoS for non-coding sites, excluding variants below 5%
frequency.

File S9. Final dataset with all covariates, ⍺ EWK , ωA EWK and deleterious SFS for coding sites obtained with the Eyre-Walker and Keightley method on binned data and using all variants.},
  author       = {Fraisse, Christelle},
  keywords     = {(mal)adaptation, pleiotropy, selective constraint, evo-devo, gene expression, Drosophila melanogaster},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Supplementary Files for "Pleiotropy modulates the efficacy of selection in Drosophila melanogaster"}},
  doi          = {10.15479/at:ista:/5757},
  year         = {2018},
}

@article{4224,
  abstract     = {Developing cells acquire positional information by reading the graded distribution of morphogens. In Drosophila, the Dpp morphogen forms a long-range concentration gradient by spreading from a restricted source in the developing wing. It has been assumed that Dpp spreads by extracellular diffusion. Under this assumption, the main role of endocytosis in gradient formation is to downregulate receptors at the cell surface. These surface receptors bind to the ligand and thereby interfere with its long-range movement. Recent experiments indicate that Dpp spreading is mediated by Dynamin-dependent endocytosis in the target tissue, suggesting that extracellular diffusion alone cannot account for Dpp dispersal. Here, we perform a theoretical study of a model for morphogen spreading based on extracellular diffusion, which takes into account receptor binding and trafficking. We compare profiles of ligand and surface receptors obtained in this model with experimental data. To this end, we monitored directly the pool of surface receptors and extracellular Dpp with specific antibodies. We conclude that current models considering pure extracellular diffusion cannot explain the observed role of endocytosis during Dpp long-range movement.},
  author       = {Kruse, Karsten and Pantazis, Periklis and Bollenbach, Mark Tobias and Julicher, Frank and Gonzalez Gaitan, Marcos},
  journal      = {Development},
  keywords     = {Drosophila, Morphogens, TGFβ},
  number       = {19},
  pages        = {4843 -- 4856},
  publisher    = {Company of Biologists},
  title        = {{Dpp gradient formation by dynamin-dependent endocytosis: receptor trafficking and the diffusion model}},
  doi          = {10.1242/dev.01335},
  volume       = {131},
  year         = {2004},
}