Maximum-Likelihood phylogeny generated by FastTree for Limnomonas spitsbergensis and other Chlorophyta species

The Limnomonas spitsbergensis CCryo_02-99_CH genome assembly and gene models have not been determined by the JGI, but were downloaded from Hulatt et al. 2024 supplemental materials on April 29, 2024. All published models are available as ExternalModels. In order to ensure this genome is comparable to those sequenced annotated by the JGI , we applied standard filters to ExternalModels to produce the initial GeneCatalog. A total of 3,314 external models were excluded based on one of the following classifications: 1) association with repetitive elements, 2) pseudogenes with internal stop codons, 3) alternative isoforms or overlapping transcript models, 4) alleles on secondary scaffolds, and 5) short models lacking functional annotation. Please note that this copy of the genome is not maintained by NCBI and is therefore not automatically updated. In order to allow comparative analyses with other algal genomes sequenced by the JGI, a copy of this genome is incorporated into PhycoCosm. The JGI Annotation Pipeline was used to add functional annotation to this genome.

Limnomonas spitsbergensis CCryo_02-99_CH

Snow algae are a diverse group of extremophilic microeukaryotes found on melting polar and alpine snowfields. They play an important role in the microbial ecology of the cryosphere, and their propagation on snow and ice surfaces may in part accelerate climate-induced melting of these systems. High-quality snow algal genomes are needed for studies on their unique physiology, adaptive mechanisms, and genome evolution under multiple forms of stress, including cold temperatures and intense sunlight. Limnomonas spitsbergensis, a cryophilic biciliate green alga originally isolated from melting snow on Svalbard, in the Arctic, was assembled and annotated to provide a new resource for research on snow algae adaptation, behavior, and natural selection in unique, low-temperature terrestrial environments that are under threat from climate change.
[Adapted from the Hulatt et al. 2024 abstract]