Abstract The formation of skeletal structures composed of different calcium carbonate polymorphs (e.g. aragonite and calcite) appears to be both biologically and environmentally regulated. Among environmental factors influencing aragonite and calcite precipitation, changes in seawater conditions—primarily in the molar ratio of magnesium and calcium during so‐called ‘Calcite’ ( m Mg: m Ca below 2) or ‘Aragonite’ seas ( m Mg: m Ca above 2)—have had profound impacts on the distribution and performance of marine calcifiers throughout Earth's history. Nonetheless, the fossil record shows that some species appear to have counteracted such changes and kept their skeleton polymorph unaltered. Here, the aragonitic octocoral Heliopora coerulea and the aragonitic scleractinian Montipora digitata were exposed to Calcite Sea‐like m Mg: m Ca with various levels of magnesium and calcium concentration, and changes in both the mineralogy (i.e. CaCO 3 polymorph) and gene expression were monitored. Both species maintained aragonite deposition at lower m Mg: m Ca ratios, while concurrent calcite presence was only detected in M. digitata . Despite a strong variability between independent experimental replicates for both species, the expression for a set of putative calcification‐related genes, including known components of the M. digitata skeleton organic matrix (SkOM), was found to consistently change at lower m Mg: m Ca. These results support the previously proposed involvements of the SkOM in counteracting decreases in seawater m Mg: m Ca. Although no consistent expression changes in calcium and magnesium transporters were observed, down‐regulation calcium channels in H. coerulea in one experimental replicate and at an m Mg: m Ca of 2.5, pointing to a possible active calcium uptake regulation by the corals under altered m Mg: m Ca.
Abstract The use of RNA-Seq data and the generation of de novo transcriptome assemblies have been pivotal for studies in ecology and evolution. This is distinctly true for non-model organisms, where no genome information is available. Nevertheless, studies of differential gene expression, DNA enrichment baits design, and phylogenetics can all be accomplished with the data gathered at the transcriptomic level. Multiple tools are available for transcriptome assembly, however, no single tool can provide the best assembly for all datasets. Therefore, a multi assembler approach, followed by a reduction step, is often sought to generate an improved representation of the assembly. To reduce errors in these complex analyses while at the same time attaining reproducibility and scalability, automated workflows have been essential in the analysis of RNA-Seq data. However, most of these tools are designed for species where genome data is used as reference for the assembly process, limiting their use in non-model organisms. We present TransPi, a comprehensive pipeline for de novo transcriptome assembly, with minimum user input but without losing the ability of a thorough analysis. A combination of different model organisms, k-mer sets, read lengths, and read quantities were used for assessing the tool. Furthermore, a total of 49 non-model organisms, spanning different phyla, were also analyzed. Compared to approaches using single assemblers only, TransPi produces higher BUSCO completeness percentages, and a concurrent significant reduction in duplication rates. TransPi is easy to configure and can be deployed seamlessly using Conda, Docker and Singularity.
Abstract The Muller F element (4.2 Mb, ~80 protein-coding genes) is an unusual autosome of Drosophila melanogaster; it is mostly heterochromatic with a low recombination rate. To investigate how these properties impact the evolution of repeats and genes, we manually improved the sequence and annotated the genes on the D. erecta, D. mojavensis, and D. grimshawi F elements and euchromatic domains from the Muller D element. We find that F elements have greater transposon density (25–50%) than euchromatic reference regions (3–11%). Among the F elements, D. grimshawi has the lowest transposon density (particularly DINE-1: 2% vs. 11–27%). F element genes have larger coding spans, more coding exons, larger introns, and lower codon bias. Comparison of the Effective Number of Codons with the Codon Adaptation Index shows that, in contrast to the other species, codon bias in D. grimshawi F element genes can be attributed primarily to selection instead of mutational biases, suggesting that density and types of transposons affect the degree of local heterochromatin formation. F element genes have lower estimated DNA melting temperatures than D element genes, potentially facilitating transcription through heterochromatin. Most F element genes (~90%) have remained on that element, but the F element has smaller syntenic blocks than genome averages (3.4–3.6 vs. 8.4–8.8 genes per block), indicating greater rates of inversion despite lower rates of recombination. Overall, the F element has maintained characteristics that are distinct from other autosomes in the Drosophila lineage, illuminating the constraints imposed by a heterochromatic milieu.
Greenfield system at the Pittsburgh Supercomputing Center (PSC), under the project Extreme Science and Engineering Discovery Environment (XSEDE) (National Science Foundation grant number ACI-1548562);
Ciris Energy Inc;
Sea Grant College Program at UPRM;
Weyerhaeuser Corporation
Spatial competition in the intertidal zones drives the community structure in marine benthic habitats. Organisms inhabiting these areas not only need to withstand fluctuations in temperature, water level, pH, and salinity but also need to compete for the best available space. Sponges are key members of the intertidal zones, and their life history processes (e.g. growth, reproduction, and regeneration) are affected by competition. Here, we used transcriptomics to investigate the effects of interspecific competition between the tetillid sponge Cinachyrella cf. cavernosa, the zoantharid Zoanthus sansibaricus and the macroalgae Dictyota ciliolata in the field. The analysis of differentially expressed genes showed that Z. sansibaricus was the more stressful competitor to C. cf. cavernosa, which showed an upregulation of cellular respiration under stress of competition. Similarly, an upregulation of energy metabolism, lipid metabolism and the heat-shock protein (HSP) 70 was also observed along with an increase in viral load and decreased ability to synthesize protein. A downregulation of purine and pyrimidine metabolism indicated a reduction in the physiological activities of the competing sponges. Moreover, a putative case of possible kleptocnidism, not previously reported in C. cf. cavernosa, was also observed. This study offers a glimpse into the inner workings of marine organisms competing for spatial resources using transcriptome data.
Non-vertebrate species represent about ~95% of known metazoan (animal) diversity. They remain to this day relatively unexplored genetically, but understanding their genome structure and function is pivotal for expanding our current knowledge of evolution, ecology and biodiversity. Following the continuous improvements and decreasing costs of sequencing technologies, many genome assembly tools have been released, leading to a significant amount of genome projects being completed in recent years. In this review, we examine the current state of genome projects of non-vertebrate animal species. We present an overview of available sequencing technologies, assembly approaches, as well as pre and post-processing steps, genome assembly evaluation methods, and their application to non-vertebrate animal genomes.
