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Biology subjects

Pinder, M. I. M.

Publications and source records attributed to Pinder, M. I. M..

2 recordsLinked to original sources

Local adaptation of a marine diatom is governed by genome-wide changes in diverse metabolic processes

Marine phytoplankton play essential roles in global primary production and biogeochemical cycles. Yet, the evolutionary genetic underpinnings of phytoplankton adaptation to complex marine and coastal environments, where many environmental variables fluctuate and interact, remain unclear. We combined population genomics data with experimental transcriptomics to investigate the genomic basis underlying a natural evolutionary experiment that has played out over the past 8,000 years in one of the worlds largest brackish water bodies: the colonization of the Baltic Sea by the marine diatom Skeletonema marinoi. To this end, we used a novel approach for protist population genomics, combining target capture of the entire nuclear genome with pooled sequencing, and showed that the method performs well on both cultures and single cells. Genotype-environment association analyses identified >3,000 genes with signals of selection in response to major environmental gradients in the Baltic Sea, which apart from salinity, include marked differences in temperature and nutrient availability. Locally adapted genes were related to diverse metabolic processes, including signal transduction, cell cycle, DNA methylation, and maintenance of homeostasis. The locally adapted genes showed significant overlap with salinity-responsive genes identified in a laboratory common garden experiment, suggesting the Baltic salinity gradient is a major factor driving local adaptation of S. marinoi. Altogether, our data show that local adaptation of phytoplankton to complex coastal environments, which are characterized by a multitude of environmental gradients, is driven by intricate changes in diverse metabolic pathways and functions.

microbiology↗

Bamboozle: A bioinformatic tool for identification and quantification of intraspecific barcodes

Evolutionary changes in populations of microbes, such as microalgae, cannot be traced using conventional metabarcoding loci as they lack intraspecific resolution. Consequently, selection and competition processes amongst strains of the same species cannot be resolved without elaborate isolation, culturing, and genotyping efforts. Bamboozle, a new bioinformatic tool introduced here, scans a species entire genome and identifies allele-rich barcodes that enable direct identification of different strains from a common population, and a single DNA sample, using amplicon sequencing. We demonstrate its usefulness by identifying hypervariable barcoding loci (<500 bp) from genomic data in two microalgal species, the diploid diatom Skeletonema marinoi, and the haploid chlorophyte Chlamydomonas reinhardtii. Across the genomes, only 26 loci capable of resolving all available strains genotypes were identified, all of which are within protein-coding genes of variable metabolic function. Single nucleotide polymorphisms (SNPs) provided the most reliable genetic markers, and amongst 55 strains of S. marinoi, three 500 bp loci contained, on average, 46 SNPs, 103 unique alleles, and displayed 100% heterozygosity. The prevalence of heterozygosity was identified as a novel opportunity to improve strain quantification and detect false positive artefacts during denoising of amplicon sequences. Finally, we illustrate how metabarcoding of a single genetic locus can be used to track strain abundances of 58 strains of S. marinoi in an artificial selection experiment. As future genomics datasets become available and DNA sequencing technologies develop, Bamboozle has flexible user settings enabling optimal barcodes to be designed for other species and applications.

evolutionary biology↗