Evidence map›Paper›PMID 38941446›Full record

ArticleGenome biology and evolution2024

Long-Read-Based Hybrid Genome Assembly and Annotation of Snow Algal Strain CCCryo 101-99 (cf. Sphaerocystis sp., Chlamydomonadales).

Ozan Çiftçi, Athanasios Zervas, Stefanie Lutz, Helen Feord, Christoph Keusching, Thomas Leya, Martyn Tranter, Alexandre M Anesio, Liane G Benning

Abstract read
In one paragraph

Article in Genome biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ozan ÇiftçiInterface Geochemistry, GFZ German Research Centre for Geosciences, Potsdam, Germany.ORCID 0000-0003-2951-3267
Athanasios ZervasDepartment of Environmental Science, Aarhus University, Roskilde, Denmark.ORCID 0000-0002-4706-4023
Stefanie LutzInterface Geochemistry, GFZ German Research Centre for Geosciences, Potsdam, Germany.
Helen FeordInterface Geochemistry, GFZ German Research Centre for Geosciences, Potsdam, Germany.
Christoph KeuschingInterface Geochemistry, GFZ German Research Centre for Geosciences, Potsdam, Germany.
Thomas LeyaFraunhofer Institute for Cell Therapy and Immunology, Branch Bioanalytics and Bioprocesses IZI-BB, Potsdam, Germany.ORCID 0000-0002-5630-2206
Martyn TranterDepartment of Environmental Science, Aarhus University, Roskilde, Denmark.
Alexandre M AnesioDepartment of Environmental Science, Aarhus University, Roskilde, Denmark.
Liane G BenningInterface Geochemistry, GFZ German Research Centre for Geosciences, Potsdam, Germany.ORCID 0000-0001-9972-5578

Funding

European Research Council 856416Helmholtz Recruiting Initiative I-044-16-01NERC Biomolecular Analysis FacilitySnow Algae Genomics NBAF1083University of Leeds
6 · The paper itself

Abstract

Polar regions harbor a diversity of cold-adapted (cryophilic) algae, which can be categorized into psychrophilic (obligate cryophilic) and cryotrophic (nonobligate cryophilic) snow algae. Both can accumulate significant biomasses on glacier and snow habitats and play major roles in global climate dynamics. Despite their significance, genomic studies on these organisms remain scarce, hindering our understanding of their evolutionary history and adaptive mechanisms in the face of climate change. Here, we present the draft genome assembly and annotation of the psychrophilic snow algal strain CCCryo 101-99 (cf. Sphaerocystis sp.). The draft haploid genome assembly is 122.5 Mb in length and is represented by 664 contigs with an N50 of 0.86 Mb, a Benchmarking Universal Single-Copy Orthologs (BUSCO) completeness of 92.9% (n = 1,519), a maximum contig length of 5.3 Mb, and a guanine-cystosine (GC) content of 53.1%. In total, 28.98% of the genome (35.5 Mb) contains repetitive elements. We identified 417 noncoding RNAs and annotated the chloroplast genome. The predicted proteome comprises 14,805 genes with a BUSCO completeness of 97.8%. Our preliminary analyses reveal a genome with a higher repeat content compared with mesophilic chlorophyte relatives, alongside enrichment in gene families associated with photosynthesis and flagella functions. Our current data will facilitate future comparative studies, improving our understanding of the likely response of polar algae to a warming climate as well as their evolutionary trajectories in permanently cold environments.

Indexed as

Molecular Sequence AnnotationPhylogenySnowalgaechlorophytaclimate changecryophilicgenomessnow

Identifiers

PMID38941446
PMCPMC11247165

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