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Adaptive Evolution Signatures in Prochlorococcus: Open Reading Frame (ORF)eome Resources and Insights from Comparative Genomics

  • Zhejiang University
  • Helmholtz Zentrum München - German Research Center for Environmental Health
  • University of Liege
  • New York University
  • Montgomery College
  • China National GeneBank
  • Shenzhen Institute of Advanced Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Prochlorococcus, a cyanobacteria genus of the smallest and most abundant oceanic phototrophs, encompasses ecotype strains adapted to high-light (HL) and low-light (LL) niches. To elucidate the adaptive evolution of this genus, we analyzed 40 Prochlorococcus marinus ORFeomes, including two cornerstone strains, MED4 and NATL1A. Employing deep learning with robust statistical methods, we detected new protein family distributions in the strains and identified key genes differentiating the HL and LL strains. The HL strains harbor genes (ABC-2 transporters) related to stress resistance, such as DNA repair and RNA processing, while the LL strains exhibit unique chlorophyll adaptations (ion transport proteins, HEAT repeats). Additionally, we report the finding of variable, depth-dependent endogenous viral elements in the 40 strains. To generate biological resources to experimentally study the HL and LL adaptations, we constructed the ORFeomes of two representative strains, MED4 and NATL1A synthetically, covering 99% of the annotated protein-coding sequences of the two species, totaling 3976 cloned, sequence-verified open reading frames (ORFs). These comparative genomic analyses, paired with MED4 and NATL1A ORFeomes, will facilitate future genotype-to-phenotype mappings and the systems biology exploration of Prochlorococcus ecology.

Original languageEnglish
Article number1720
JournalMicroorganisms
Volume12
Issue number8
DOIs
StatePublished - Aug 2024

Keywords

  • MED4
  • NALT1A
  • Prochlorococcus
  • comparative genomics
  • deep learning
  • endogenous viral elements
  • light adaptations

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