Evaluation of Genomic Sequence-Based Growth Rate Methods for Synchronized Synechococcus Cultures

Standard methods for calculating microbial growth rates (mu) through the use of proxies, such as in situ fluorescence, cell cycle, or cell counts, are critical for determining the magnitude of the role bacteria play in marine carbon (C) and nitrogen (N) cycles. Taxon-specific growth rates in mixed assemblages would be useful for attributing biogeochemical processes to individual species and understanding niche differentiation among related clades, such as found in Synechococcus and Prochlorococcus. We tested three novel DNA sequencing-based methods (iRep, bPTR, and GRiD) for evaluating the growth of light-synchronized Synechococcus cultures under different light intensities and temperatures. In vivo fluorescence and cell cycle analysis were used to obtain standard estimates of growth rate for comparison with those of the sequence-based methods (SBM). None of the SBM values were correlated with growth rates calculated by standard techniques despite the fact that all three SBM were correlated with the percentage of cells in S phase (DNA replication) over the diel cycle. Inaccuracy in determining the time of maximum DNA replication is unlikely to account entirely for the absence of a relationship between SBM and growth rate, but the fact that most microbes in the surface ocean exhibit some degree of diel cyclicity is a caution for application of these methods. SBM correlate with DNA replication but cannot be interpreted quantitatively in terms of growth rate. IMPORTANCE Small but abundant, cyanobacterial strains such as the photosynthetic Synechococcus spp. are important because they contribute significantly to primary productivity in the ocean. These bacteria generate oxygen and provide biologically available carbon, which is essential for organisms at higher trophic levels. The small size and diversity of natural microbial assemblages mean that taxon-specific activities (e.g., growth rate) are difficult to obtain in the field. It has been suggested that sequence-based methods (SBM) may be able to solve this problem. We find, however, that SBM can detect DNA replication and are correlated with phases of the cell cycle but cannot be interpreted in terms of absolute growth rate for Synechococcus cultures growing under a day-night cycle, like that experienced in the ocean.

Automated summary

Accurate calculation of microbial growth rates is crucial for understanding the role of bacteria in marine carbon and nitrogen cycles. However, DNA sequencing-based methods are unable to accurately interpret bacterial growth rates despite their correlation with cell cycle.