Bacterial contribution to genesis of the novel germ line determinant oskar, bioRxiv, 2018-10-26

New cellular functions and developmental processes can evolve by modifying the functions or regulation of preexisting genes, but the creation of new genes and their contributions to novel processes is less well understood. New genes can arise not only from mutations or rearrangements of existing sequences, but also via acquisition of foreign DNA, also called horizontal gene transfer (HGT). Here we present evidence that HGT contributed to the creation of a novel gene indispensable for reproduction in some insects. The oskar gene evolved to fulfil a crucial role in insect germ cell formation, but was long considered a novel gene with unknown evolutionary origins. Our analysis of over 100 Oskar sequences suggests that Oskar arose through a novel gene formation history involving fusion of eukaryotic and prokaryotic sequences. One of its two conserved domains (LOTUS), was likely present in the genome of a last common insect ancestor, while the second (OSK) domain appears to have been acquired through horizontal transfer of a bacterial GDSL-like lipase domain. Our evidence suggests that the bacterial contributor of the OSK domain may have been a germ line endosymbiont. This shows that gene origin processes often considered highly unusual, including HGT and de novo coding region evolution, can give rise to novel genes that can both participate in pre-existing gene regulatory networks, and also facilitate the evolution of novel developmental mechanisms.

biorxiv evolutionary-biology 100-200-users 2018

Challenges and recommendations to improve installability and archival stability of omics computational tools, bioRxiv, 2018-10-26

AbstractDeveloping new software tools for analysis of large-scale biological data is a key component of advancing modern biomedical research. Scientific reproduction of published findings requires running computational tools on data generated by such studies, yet little attention is presently allocated to the installability and archival stability of computational software tools. Scientific journals require data and code sharing, but none currently require authors to guarantee the continuing functionality of newly published tools. We have estimated the archival stability of computational biology software tools by performing an empirical analysis of the internet presence for 36,702 omics software resources published from 2005 to 2017. We found that almost 28% of all resources are currently not accessible through URLs published in the paper they first appeared in. Among the 98 software tools selected for our installability test, 51% were deemed “easy to install,” and 28% of the tools failed to be installed at all due to problems in the implementation. Moreover, for papers introducing new software, we found that the number of citations significantly increased when authors provided an easy installation process. We propose for incorporation into journal policy several practical solutions for increasing the widespread installability and archival stability of published bioinformatics software.

biorxiv bioinformatics 500+-users 2018

 

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