Transcriptome, proteome and draft genome of Euglena gracilis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

ThankGod E. Ebenezer, Martin Zoltner, Alana Burrell, Anna Nenarokova, Anna M. G. Novák Vanclová, Binod Prasad, Petr Soukal, Carlos Santana-Molina, Ellis O’Neill, Nerissa N. Nankissoor, Nithya Vadakedath, Viktor Daiker, Samson Obado, Sara Silva-Pereira, Andrew P. Jackson, Damien P. Devos, Julius Lukeš, Michael Lebert, Sue Vaughan, Vladimίr Hampl, Mark Carrington, Michael L. Ginger, Joel B. Dacks, Steven Kelly, Mark C. Field

ABSTRACT

BACKGROUND: Photosynthetic euglenids are major contributors to fresh water ecosystems. Euglena gracilis in particular has noted metabolic flexibility, reflected by an ability to thrive in a range of harsh environments. E. gracilis has been a popular model organism and of considerable biotechnological interest, but the absence of a gene catalogue has hampered both basic research and translational efforts. RESULTS: We report a detailed transcriptome and partial genome for E. gracilis Z1. The nuclear genome is estimated to be around 500 Mb in size, and the transcriptome encodes over 36,000 proteins and the genome possesses less than 1% coding sequence. Annotation of coding sequences indicates a highly sophisticated endomembrane system, RNA processing mechanisms and nuclear genome contributions from several photosynthetic lineages. Multiple gene families, including likely signal transduction components, have been massively expanded. Alterations in protein abundance are controlled post-transcriptionally between light and dark conditions, surprisingly similar to trypanosomatids. CONCLUSIONS: Our data provide evidence that a range of photosynthetic eukaryotes contributed to the Euglena nuclear genome, evidence in support of the 'shopping bag' hypothesis for plastid acquisition. We also suggest that euglenids possess unique regulatory mechanisms for achieving extreme adaptability, through mechanisms of paralog expansion and gene acquisition. More... »

PAGES

11

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12915-019-0626-8

DOI

http://dx.doi.org/10.1186/s12915-019-0626-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111989403

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30732613


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