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

<i>Prochlorococcus</i>, 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 <i>Prochlorococcus marinus</i> 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 <i>Prochlorococcus</i> ecology.

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Journal
Microorganisms
Published
2024-08-20
DOI
https://doi.org/10.3390/microorganisms12081720
Primary Topic
Microbial Community Ecology and Physiology
Type
article
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0.00

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article

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

Joseph Koussa, Kourosh Salehi‐Ashtiani, Ashish Jaiswal, Sarah Daakour et al.
2 links
Microorganisms
Microbial Community Ecology and Physiology
article

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

Joseph Koussa, Kourosh Salehi‐Ashtiani, Ashish Jaiswal, Sarah Daakour, Bushra Dohai, David Roy Nelson, Jean‐Claude Twizere, Weiqi Fu, Amnah Alzahmi, Yue Shen, Xiaoluo Huang
article en

Abstract

<i>Prochlorococcus</i>, 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 <i>Prochlorococcus marinus</i> 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 <i>Prochlorococcus</i> ecology.

MicroorganismsVol. 12(8)
New York University Abu Dhabi (AE), Montgomery College (US), University of Liège (BE), Chinese Academy of Sciences (CN), Helmholtz Zentrum München (DE), Zhejiang Ocean University (CN), Shenzhen Institutes of Advanced Technology (CN), China National GeneBank (CN), New York University (US), Zhejiang University (CN)
New York University Abu Dhabi, Fonds De La Recherche Scientifique - FNRS, Tamkeen
Life below water
Openalex Percentile: Top 86%
Microbial Community Ecology and Physiology
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