Bridging the gap between genomic, phenotypic, and modeling data in picophytoplankton–virus interactions

Abstract

We present a comprehensive synthesis of recent developments in methodological approaches to combine experimental and genomic studies of picophytoplankton-virus interactions. This synthesis will not only enhance our understanding of these relationships but also stimulate new hypotheses for the interpretation of metagenomic data and enrich current modeling efforts. Marine picophytoplankton are significant primary producers despite their low contribution to biomass. Pan-oceanic metagenomic studies have revealed an astounding genetic diversity within these communities and the astronomical abundance of viruses that infect them. Despite recent advances in understanding the genetic and genomic diversity of picophytoplankton and viruses, the interpretation of these data relies heavily on ecological and physiological insights. Specifically, our understanding of the mechanisms and dynamics governing host-virus interactions is limited because the current wealth of sequence data has not yet been matched with corresponding life-history traits. Linking phenotypes to genotypes in picophytoplankton-virus systems is also essential for accurately modeling their interactions and their impact on the global carbon cycle. Ultimately, the synergy of the three domains allows for a mechanistic interpretation of environmental data.

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Cite

BibTeX RIS

BibTeX

@article{listmann2026bridging,
  title = {{Bridging the gap between genomic, phenotypic, and modeling data in picophytoplankton–virus interactions}},
  author = {Luisa Listmann and Carina Peters and Anais Labecot and Raphaël Rousseau and Christie Baux and Maria Elisabetta Santelia and Eric Manirakiza and Nigel Grimsley and Sheree Yau and Sébastien Gourbiere and C‐elisa Schaum and Gwenael Piganeau},
  journal = {Journal of Phycology},
  year = {2026},
  month = sep,
  doi = {10.1111/jpy.70229},
  url = {https://hal.science/hal-05777117v1},
  note = {CC BY 4.0},
}

RIS

TY  - JOUR
TI  - Bridging the gap between genomic, phenotypic, and modeling data in picophytoplankton–virus interactions
AU  - Luisa Listmann
AU  - Carina Peters
AU  - Anais Labecot
AU  - Raphaël Rousseau
AU  - Christie Baux
AU  - Maria Elisabetta Santelia
AU  - Eric Manirakiza
AU  - Nigel Grimsley
AU  - Sheree Yau
AU  - Sébastien Gourbiere
AU  - C‐elisa Schaum
AU  - Gwenael Piganeau
PY  - 2026
DA  - 2026/09/16
JO  - Journal of Phycology
DO  - 10.1111/jpy.70229
UR  - https://hal.science/hal-05777117v1
AB  - We present a comprehensive synthesis of recent developments in methodological approaches to combine experimental and genomic studies of picophytoplankton-virus interactions. This synthesis will not only enhance our understanding of these relationships but also stimulate new hypotheses for the interpretation of metagenomic data and enrich current modeling efforts. Marine picophytoplankton are significant primary producers despite their low contribution to biomass. Pan-oceanic metagenomic studies have revealed an astounding genetic diversity within these communities and the astronomical abundance of viruses that infect them. Despite recent advances in understanding the genetic and genomic diversity of picophytoplankton and viruses, the interpretation of these data relies heavily on ecological and physiological insights. Specifically, our understanding of the mechanisms and dynamics governing host-virus interactions is limited because the current wealth of sequence data has not yet been matched with corresponding life-history traits. Linking phenotypes to genotypes in picophytoplankton-virus systems is also essential for accurately modeling their interactions and their impact on the global carbon cycle. Ultimately, the synergy of the three domains allows for a mechanistic interpretation of environmental data.
SN  - 0022-3646
SN  - 1529-8817
ER  -

Abstract

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