Genomic imprints of unparalleled growth

© 2023 The Authors. New Phytologist © 2023 New Phytologist Foundation.

Bibliographische Detailangaben
Veröffentlicht in:The New phytologist. - 1979. - 241(2024), 3 vom: 10. Jan., Seite 1144-1160
1. Verfasser: Murik, Omer (VerfasserIn)
Weitere Verfasser: Geffen, Or, Shotland, Yoram, Fernandez-Pozo, Noe, Ullrich, Kristian Karsten, Walther, Dirk, Rensing, Stefan Andreas, Treves, Haim
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:The New phytologist
Schlagworte:Journal Article Chlorophyta algal evolution codon bias growth rate introns
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520 |a Chlorella ohadii was isolated from desert biological soil crusts, one of the harshest habitats on Earth, and is emerging as an exciting new green model for studying growth, photosynthesis and metabolism under a wide range of conditions. Here, we compared the genome of C. ohadii, the fastest growing alga on record, to that of other green algae, to reveal the genomic imprints empowering its unparalleled growth rate and resistance to various stressors, including extreme illumination. This included the genome of its close relative, but slower growing and photodamage sensitive, C. sorokiniana UTEX 1663. A larger number of ribosome-encoding genes, high intron abundance, increased codon bias and unique genes potentially involved in metabolic flexibility and resistance to photodamage are all consistent with the faster growth of C. ohadii. Some of these characteristics highlight general trends in Chlorophyta and Chlorella spp. evolution, and others open new broad avenues for mechanistic exploration of their relationship with growth. This work entails a unique case study for the genomic adaptations and costs of exceptionally fast growth and sheds light on the genomic signatures of fast growth in photosynthetic cells. It also provides an important resource for future studies leveraging the unique properties of C. ohadii for photosynthesis and stress response research alongside their utilization for synthetic biology and biotechnology aims 
650 4 |a Journal Article 
650 4 |a Chlorophyta 
650 4 |a algal evolution 
650 4 |a codon bias 
650 4 |a growth rate 
650 4 |a introns 
700 1 |a Geffen, Or  |e verfasserin  |4 aut 
700 1 |a Shotland, Yoram  |e verfasserin  |4 aut 
700 1 |a Fernandez-Pozo, Noe  |e verfasserin  |4 aut 
700 1 |a Ullrich, Kristian Karsten  |e verfasserin  |4 aut 
700 1 |a Walther, Dirk  |e verfasserin  |4 aut 
700 1 |a Rensing, Stefan Andreas  |e verfasserin  |4 aut 
700 1 |a Treves, Haim  |e verfasserin  |4 aut 
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773 1 8 |g volume:241  |g year:2024  |g number:3  |g day:10  |g month:01  |g pages:1144-1160 
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