bioRxivMicrobiologyPreprint
Dynamics of cell death due to N and P starvation across intra-clade diversity in Prochlorococcus
Yara Soussan-FarhatiD, Shira GivatiiD, Osnat WeissbergiD, Waseem Bashir Valiya KalladiiD, Dikla AharonovichiD, Daniel SheriD
Abstract
Nutrient starvation and subsequent mortality are processes that can shape ecosystem dynamics and influence global biogeochemical cycles yet are poorly understood. Here, we examined the dynamics of culture decline in 15 strains of Prochlorococcus, globally abundant marine cyanobacteria, under nitrogen (N) and phosphate (P) starvation. We then ask whether mortality patterns can be related to the evolutionary history of each strain, the geographic location and environmental conditions where it was isolated from, or the copy number of specific acquisition genes. We observed diverse decline patterns across starvation conditions and strains, identifying three differential features: maximum culture fluorescence, the number of fluorescence peaks during the decline stage, and the decline rate. Based on these features, each strain was categorized as being more sensitive to either nitrogen starvation or phosphorus/co-starvation. High light (HL) strains are more sensitive to N starvation, whereas other facets of the strains evolutionary or ecological origin were not correlated with mortality features. Surprisingly, the number of genes known to be involved in either N or P acquisition in each genome was not correlated with starvation sensitivity. Rather, genes involved in DNA damage repair were associated with N sensitivity to starvation, especially in HL strains, whereas genes related to protein quality control were more abundant in LL strains and associated with P/co starvation sensitivity. These findings reveal a previously unrecognized diversity in the dynamics of starvation and mortality across closely related Prochlorococcus strains, potentially driven by differences in the responses to DNA and protein damage.
- assay: proteomics
- assay: DNA methylation
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: experimental assay
- approach: statistical model
- Citations
- 0
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