Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 497273
Title Algal Omics: The Functional Annotation Challenge
Author(s) Reijnders, M.J.M.F.; Carreres, B.M.; Schaap, P.J.
Source Current Biotechnology 4 (2015)4. - ISSN 2211-5501 - p. 457 - 463.
DOI https://doi.org/10.2174/2211550105666151203202455
Department(s) Systems and Synthetic Biology
CS OnderwijsinstituutOnderwijsinstituut
VLAG
Publication type Refereed Article in a scientific journal
Publication year 2015
Abstract Background: To fully exploit the potential of microalgae as commercial green hosts, the scientific community has to improve their understanding of these organisms from a systems biology perspective. Compared to other model organisms, our genomic knowledge of the microalgae model species Chlamydomonas reinhardtii is very limited. Currently, almost 90% of the functional annotated proteins of C. reinhardtii and of other microalgal proteins are homologs of Arabidopsis thaliana proteins, which suggests that for the most part only the metabolic core conserved between these species is properly annotated.
Objective: This review highlights how proteins outside of this core can be annotated by applying publically available tools and methods. These include the use of novel state-of-the-art prediction tools, combinations of these tools, and the use of metabolic modeling-assisted functional annotation. Furthermore, we discuss the need for data on the subcellular location of microalgal proteins. Finally, some remaining bottlenecks regarding functional annotation of microalgal proteins are discussed.
Conclusion: We conclude that both large dry-lab and wet-lab efforts are required to generate reliable functional annotations of microalgae
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