Metadata for: Environmental adaptations by the intertidal Antarctic cyanobacterium Halotia branconii CENA392 as revealed using long-read genome sequencing

Antarctica poses numerous challenges to life such as cold shock, low nutrient concentrations and periodic desiccation over a wide range of extreme temperatures. Cyanobacteria survive this harsh environment having evolved adaptive metabolic plasticity to become the dominant primary producers. The type strain cyanobacterium Halotia branconii CENA392 was isolated from an Antarctic intertidal seashore. The complete circular genome of this strain is presented herein, which was assembled using long sequence reads. The genome encoded some stress-related genes associated with low-temperature adaptation and biosynthesis of mycosporine-like amino acid (MAA) photoprotective compounds. Empirical experimentation demonstrated constitutive production of the MAA porphyra-334 and total carotenoids without exposure to low temperatures or ultraviolet radiation stress. Phylogenetic analysis provided insights on the taxonomic placement and the evolutionary history of some annotated genes. These data exempli..., Obtaining the genome:
Bacteria growing over the surface of H. branconii CENA392 were removed by serial washing following a procedure reported by Delbaje et al. (2021). Total gDNA was extracted from washed cyanobacterial cells using an All-Prep DNA/RNA Mini kit (Qiagen, Hilden, Germany) according to manufacturer’s instructions.  DNA stable Plus (Biomatrica, San Diego, USA) was added at a final volume of 25 %(v/v) to preserve integrity of the gDNA during lyophilization. The lyophilized gDNA was sent for whole-genome sequencing to the Joint Genome Institute (Berkley, CA, USA; JGI Project ID: 1338759). A PacBio SMRTbell library was prepared for circular consensus sequencing using a PacBio RS platform. The reads were filtered using BBMap v38.90 (Bushnell et al. 2017) with the icecreamfinder.sh program using default parameters. De novo genome assembly was performed with default parameters using Flye v2.9 (Kolmogorov et al. 2019). The assembled scaffolds were classified with Kaiju v1.7.2 (Menz..., The data are available in .sh and .xlsx files. The first can be opened with any basic text reader (such as Notepad or File Reader) while the second is a spreadsheet from Office Excel.