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Frederik Leliaert

Researcher at Ghent University

Publications -  164
Citations -  6712

Frederik Leliaert is an academic researcher from Ghent University. The author has contributed to research in topics: Cladophorales & Genus. The author has an hindex of 39, co-authored 147 publications receiving 5877 citations. Previous affiliations of Frederik Leliaert include Botanic Garden Meise & University of Alabama.

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Phylogeny and Molecular Evolution of the Green Algae

TL;DR: Current understanding of organelle genome evolution in the green algae is summarized, genomic insights into the ecology of oceanic picoplanktonic prasinophytes, molecular mechanisms underlying the evolution of complexity in volvocine green algae, and the Evolution of genetic codes and the translational apparatus in green seaweeds are summarized.
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DNA- based species delimitation in algae

TL;DR: These recent developments in DNA-based species delimitation methods are reviewed, and it is discussed how they have changed and continue to change the authors' understanding of algal species boundaries.
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Limits to gene flow in a cosmopolitan marine planktonic diatom

TL;DR: It is shown that gene flow between distant populations of the globally distributed, bloom-forming diatom species Pseudo-nitzschia pungens is limited and follows a strong isolation by distance pattern, which implies that under appropriate geographic and environmental circumstances, population structuring may lead to speciation and hence may play an important role in diversification of marine planktonic microorganisms.
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What we can learn from sushi: a review on seaweed–bacterial associations

TL;DR: A definite bacterial core community seems to exist which is specifically (functionally) adapted to an algal host-associated lifestyle and because seaweed-bacterial associations are appealing from evolutionary and applied perspectives, future studies should integrate the aspects of diverse biological fields.
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Research note: Identity of the Qingdao algal bloom

TL;DR: The alga that caused the Qingdao bloom is identified by means of morphological and molecular data, including sequence data of the plastid encoded large subunit ribulose 1,5‐bisphosphate carboxylase gene (rbcL) and the nuclear encoded rDNA internal transcribed spacer (ITS) region.