Significance: The dinoflagellate genus Symbiodinium is best known for harboring important endosymbiotic algae of marine invertebrates, notably reef-building corals. However, these dinoflagellates also live freely within coral reef waters and sediments and provide an important environmental pool for the colonization of new coral recruits. Although Symbiodinium facilitate coral calcification indirectly when in hospite , we show that they also can calcify in partnership with bacteria when free living. This discovery offers entirely new perspectives on fundamental questions regarding the life cycle and ecology of these dinoflagellates and could help explain how changes in ocean chemistry created a selective pressure that ultimately led Symbiodinium to establish an endosymbiotic life style. To our knowledge, our findings document the first identified dinoflagellate–bacterial calcifying community.

Summary: Numerous software applications exist to deal with synthetic gene design, granting the field of heterologous expression a significant support. However, their dispersion requires the access to different tools and online services in order to complete one single project. Analyzing codon usage, calculating codon adaptation index (CAI), aligning orthologs and optimizing genes are just a few examples. A software application, EuGene, was developed for the optimization of multiple gene synthetic design algorithms. In a seamless automatic form, EuGene calculates or retrieves genome data on codon usage (relative synonymous codon usage and CAI), codon context (CPS and codon pair bias), GC content, hidden stop codons, repetitions, deleterious sites, protein primary, secondary and tertiary structures, gene orthologs, species housekeeping genes, performs alignments and identifies genes and genomes. The main function of EuGene is analyzing and redesigning gene sequences using multi-objective optimization techniques that maximize the coding features of the resulting sequence. Availability: EuGene is freely available for non-commercial use, at http://bioinformatics.ua.pt/eugene Contact:paulogaspar@ua.pt

Light-response curves (LCs) of chlorophyll fluorescence are widely used in plant physiology. Most commonly, LCs are generated sequentially, exposing the same sample to a sequence of distinct actinic light intensities. These measurements are not independent, as the response to each new light level is affected by the light exposure history experienced during previous steps of the LC, an issue particularly relevant in the case of the popular rapid light curves. In this work, we demonstrate the proof of concept of a new method for the rapid generation of LCs from nonsequential, temporally independent fluorescence measurements. The method is based on the combined use of sample illumination with digitally controlled, spatially separated beams of actinic light and a fluorescence imaging system. It allows the generation of a whole LC, including a large number of actinic light steps and adequate replication, within the time required for a single measurement (and therefore named “single-pulse light curve”). This method is illustrated for the generation of LCs of photosystem II quantum yield, relative electron transport rate, and nonphotochemical quenching on intact plant leaves exhibiting distinct light responses. This approach makes it also possible to easily characterize the integrated dynamic light response of a sample by combining the measurement of LCs (actinic light intensity is varied while measuring time is fixed) with induction/relaxation kinetics (actinic light intensity is fixed and the response is followed over time), describing both how the response to light varies with time and how the response kinetics varies with light intensity.

Codon pair usage (codon context) is a species specific gene primary structure feature whose evolutionary and functional roles are poorly understood. The data available show that codon-context has direct impact on both translation accuracy and efficiency, but one does not yet understand how it affects these two translation variables or whether context biases shape gene evolution. Here we study codon-context biases using a set of 72 orthologous highly conserved genes from bacteria, archaea, fungi and high eukaryotes to identify 7 distinct groups of codon context rules. We show that synonymous mutations, i.e., neutral mutations that occur in synonymous codons of codon-pairs, are selected to maintain context biases and that non-synonymous mutations, i.e., non-neutral mutations that alter protein amino acid sequences, are also under selective pressure to preserve codon-context biases. Since in vivo studies provide evidence for a role of codon context on decoding fidelity in E. coli and for decoding efficiency in mammalian cells, our data support the hypothesis that, like codon usage, codon context modulates the evolution of gene primary structure and fine tunes the structure of open reading frames for high genome translational fidelity and efficiency in the 3 domains of life.

In recent years, two new approaches have been introduced in genetic studies of phytoplankton species. One is the application of highly polymorphic microsatellite markers, which allow detailed population genetic studies; the other is the development of methods that enable the direct genetic characterization of single cells as an alternative to clonal cultures. The aim of this study was to combine these two approaches in a method that would allow microsatellite genotyping of single phytoplankton cells, providing a novel tool for high‐resolution population genetic studies. The dinoflagellate species Lingulodinium polyedrum (F. Stein) J. D. Dodge was selected as a model organism to develop this novel approach. The method we describe here is based on several key developments: (i) a simple and efficient DNA extraction method for single cells, (ii) the characterization of microsatellite markers for L. polyedrum, (iii) a protocol for the species identification of single cells through the analysis of partial rRNA gene sequences, and (iv) a two‐step multiplex PCR protocol for the simultaneous amplification of microsatellite markers and partial rRNA gene sequences from single cells. Our protocol allowed the amplification of up to six microsatellite loci together with either the complete ITS1‐5.8S‐ITS2 region or a partial 18S region of the ribosomal gene of L. polyedrum from single motile cells and resting cysts. This article describes and evaluates the developed approach and discusses its significance for population genetic studies of L. polyedrum and other phytoplankton species.