Evidence map›Paper›PMID 41922957›Full record

ArticleBMC genomics2026

Comparative genomics of microalgae: molecular mechanisms underlying efficient CO₂ assimilation.

Jessica Di Martino, Franco Liberati, Meryam Carrus, Manuel Arcieri, Lorenzo Arcioni, Paolo Bottoni, Claudia Cafaro, Loretta De Giorgi, Antonio Fardelli, Paolo Franchini and 2 more

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Jessica Di MartinoDepartment of Ecological and Biological Sciences, University of Tuscia, Viale dell'Università, snc, Viterbo, 01100, Italy.
Franco LiberatiDepartment of Ecological and Biological Sciences, University of Tuscia, Viale dell'Università, snc, Viterbo, 01100, Italy.
Meryam CarrusDepartment of Ecological and Biological Sciences, University of Tuscia, Viale dell'Università, snc, Viterbo, 01100, Italy.
Manuel ArcieriDepartment of Computer Science, Sapienza University of Rome, Viale Regina Elena 295, Roma, 00161, Italy.
Lorenzo ArcioniDepartment of Computer Science, Sapienza University of Rome, Viale Regina Elena 295, Roma, 00161, Italy.
Paolo BottoniDepartment of Computer Science, Sapienza University of Rome, Viale Regina Elena 295, Roma, 00161, Italy.
Claudia CafaroDivision of Rome, CNR-Institute of Atmospheric Pollution Research, Via Cristoforo Colombo 44, Rome, IT-00147, Italy.
Loretta De GiorgiDivision of Rome, CNR-Institute of Atmospheric Pollution Research, Via Cristoforo Colombo 44, Rome, IT-00147, Italy.
Antonio FardelliDivision of Rome, CNR-Institute of Atmospheric Pollution Research, Via Cristoforo Colombo 44, Rome, IT-00147, Italy.
Paolo FranchiniDepartment of Ecological and Biological Sciences, University of Tuscia, Viale dell'Università, snc, Viterbo, 01100, Italy.
Daniele CanestrelliDepartment of Ecological and Biological Sciences, University of Tuscia, Viale dell'Università, snc, Viterbo, 01100, Italy.
Tiziana CastrignanòDepartment of Ecological and Biological Sciences, University of Tuscia, Viale dell'Università, snc, Viterbo, 01100, Italy. tiziana.castrignano@unitus.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rising atmospheric CO₂ levels necessitate the development of effective carbon capture strategies. Some species of microalgae, with their high growth rates and exceptional CO₂ fixation efficiency—up to 10–50 times greater than terrestrial plants—represent a promising biological resource. Microalgae, however, constitute a heterogeneous group distributed across different taxonomic lineages, which complicates the identification of conserved molecular traits. In this study, we conducted a comparative genomics analysis to elucidate the molecular mechanisms underlying efficient CO₂ assimilation in 29 selected species of microalgae. We curated a dataset of high-quality, annotated microalgal genomes from the NCBI Genome database, retaining only those with BUSCO gene completeness above 80%. Orthogroups were identified using OrthoFinder and annotated. A comprehensive phylogenetic tree was constructed based on single-copy orthologs. Additionally, CAFÉ was employed to assess gene family expansion and contraction in key functional categories, including light-harvesting, carbon fixation, and stress response. Our findings reveal a conserved core of functional genes across microalgae, alongside significant interspecific variability in gene copy numbers and orthogroup composition. These insights provide a comparative genomic framework to support future investigations integrating physiological and molecular data aimed at understanding CO₂ assimilation mechanisms in microalgae.

Indexed as

Carbon DioxideGenomicsMicroalgaeGene DosageMolecular Sequence AnnotationPhotosynthesisPhylogenyCarbon DioxideComparative genomicsMicroalgae CO₂ assimilationPhotosynthetic efficiency

Identifiers

PMID41922957
PMCPMC13169935

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.