How and why DNA barcodes underestimate the diversity of microbial eukaryotes

Background: Because many picoplanktonic eukaryotic species cannot currently be maintained in culture, direct sequencing of PCR-amplified 18S ribosomal gene DNA fragments from filtered sea-water has been successfully used to investigate the astounding diversity of these organisms. The recognition of many novel planktonic organisms is thus based solely on their 18S rDNA sequence. However, a species delimited by its 18S rDNA sequence might contain many cryptic species, which are highly differentiated in their protein coding sequences. Principal Findings: Here, we investigate the issue of species identification from one gene to the whole genome sequence. Using 52 whole genome DNA sequences, we estimated the global genetic divergence in protein coding genes between organisms from different lineages and compared this to their ribosomal gene sequence divergences. We show that this relationship between proteome divergence and 18S divergence is lineage dependant. Unicellular lineages have especially low 18S divergences relative to their protein sequence divergences, suggesting that 18S ribosomal genes are too conservative to assess planktonic eukaryotic diversity. We provide an explanation for this lineage dependency, which suggests that most species with large effective population sizes will show far less divergence in 18S than protein coding sequences. Conclusions: There is therefore a trade-off between using genes that are easy to amplify in all species, but which by their nature are highly conserved and underestimate the true number of species, and using genes that give a better description of the number of species, but which are more difficult to amplify. We have shown that this trade-off differs between unicellular and multicellular organisms as a likely consequence of differences in effective population sizes. We anticipate that biodiversity of microbial eukaryotic species is underestimated and that numerous ''cryptic species'' will become discernable with the future acquisition of genomic and metagenomic sequences

Metagenomes of the Picoalga Bathycoccus from the Chile Coastal Upwelling

Among small photosynthetic eukaryotes that play a key role in oceanic food webs, picoplanktonic Mamiellophyceae such as Bathycoccus, Micromonas, and Ostreococcus are particularly important in coastal regions. By using a combination of cell sorting by flow cytometry, whole genome amplification (WGA), and 454 pyrosequencing, we obtained metagenomic data for two natural picophytoplankton populations from the coastal upwelling waters off central Chile. About 60% of the reads of each sample could be mapped to the genome of Bathycoccus strain from the Mediterranean Sea (RCC1105), representing a total of 9 Mbp (sample T142) and 13 Mbp (sample T149) of non-redundant Bathycoccus genome sequences. WGA did not amplify all regions uniformly, resulting in unequal coverage along a given chromosome and between chromosomes. The identity at the DNA level between the metagenomes and the cultured genome was very high (96.3% identical bases for the three larger chromosomes over a 360 kbp alignment). At least two to three different genotypes seemed to be present in each natural sample based on read mapping to Bathycoccus RCC1105 genome

Unravelling cis-Regulatory Elements in the Genome of the Smallest Photosynthetic Eukaryote: Phylogenetic Footprinting in Ostreococcus

We used a phylogenetic footprinting approach, adapted to high levels of divergence, to estimate the level of constraint in intergenic regions of the extremely gene dense Ostreococcus algae genomes (Chlorophyta, Prasinophyceae). We first benchmarked our method against the Saccharomyces sensu stricto genome data and found that the proportion of conserved non-coding sites was consistent with those obtained with methods using calibration by the neutral substitution rate. We then applied our method to the complete genomes of Ostreococcus tauri and O. lucimarinus, which are the most divergent species from the same genus sequenced so far. We found that 77% of intergenic regions in Ostreococcus still contain some phylogenetic footprints, as compared to 88% for Saccharomyces, corresponding to an average rate of constraint on intergenic region of 17% and 30%, respectively. A comparison with some known functional cis-regulatory elements enabled us to investigate whether some transcriptional regulatory pathways were conserved throughout the green lineage. Strikingly, the size of the phylogenetic footprints depends on gene orientation of neighboring genes, and appears to be genus-specific. In Ostreococcus, 5' intergenic regions contain four times more conserved sites than 3' intergenic regions, whereas in yeast a higher frequency of constrained sites in intergenic regions between genes on the same DNA strand suggests a higher frequency of bidirectional regulatory elements. The phylogenetic footprinting approach can be used despite high levels of divergence in the ultrasmall Ostreococcus algae, to decipher structure of constrained regulatory motifs, and identify putative regulatory pathways conserved within the green lineage