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The western painted turtle, Chrysemys picta bellii, has the greatest tolerance to anoxia of any tetrapod studied to date. These turtles reside in the northern United States and southern Canada, and survive months of anoxia while submerged in ice-locked ponds and bogs. Reference genomes provide an important resource for elucidating the molecular bases for such unique physiological traits. An initial reference genome for this species was published in 2013, but the assembly is highly fragmented which poses several limitations for downstream analyses and biological interpretation. In this study, we created a new and improved assembly by combining PacBio HiFi, 10x Genomics Chromium, Hi-C sequence data and BioNano optical mapping derived from a single individual to generate a new haplotype-resolved chromosome-level assembly for C. picta bellii, called SLU_Cpb5.0. The genome size of the primary assembly is 2.372 Gb with a scaffold N50 of 133.6 Mb, which is a 6.5-fold improvement over the existing assembly. Genome annotation of SLU_Cpb5.0 revealed 12,242 novel genes compared to previous assemblies. Our PacBio Iso-Seq RNA sequencing data for twelve tissues unraveled over 100,000 novel transcript isoforms and 4,325 novel genes that were not annotated by standard NCBI pipeline. We also observed distinct patterns of tissue-specific isoform expression, creating a robust foundation for future characterization of the functions of these genes. The improved genome assembly and annotation will facilitate comparative genomics studies to better understand the genetic basis of C.picta bellii's extreme physiological adaptations and other aspects of its biology. 

Societal Impact StatementThe current rate of global biodiversity loss creates a pressing need to increase efficiency and throughput of extinction risk assessments in plants. We must assess as many plant species as possible, working with imperfect knowledge, to address the habitat loss and extinction threats of the Anthropocene. Using the biodiversity database, Botanical Information and Ecology Network (BIEN), and the Andropogoneae grass tribe as a case study, we demonstrate that large‐scale, preliminary conservation assessments can play a fundamental role in accelerating plant conservation pipelines and setting priorities for more in‐depth investigations. SummaryThe International Union for the Conservation of Nature (IUCN) Red List criteria are widely used to determine extinction risks of plant and animal life. Here, we used The Red List's criterion B, Geographic Range Size, to provide preliminary conservation assessments of the members of a large tribe of grasses, the Andropogoneae, with ~1100 species, including maize, sorghum, and sugarcane and their wild relatives.We used georeferenced occurrence data from the Botanical Information and Ecology Network (BIEN) and automated individual species assessments using ConR to demonstrate efficacy and accuracy in using time‐saving tools for conservation research. We validated our results with those from the IUCN‐recommended assessment tool, GeoCAT.We discovered a remarkably large gap in digitized information, with slightly more than 50% of the Andropogoneae lacking sufficient information for assessment. ConR and GeoCAT largely agree on which taxa are of least concern (>90%) or possibly threatened (<10%), highlighting that automating assessments with ConR is a viable strategy for preliminary conservation assessments of large plant groups. Results for crop wild relatives are similar to those for the entire dataset.Increasing digitization and collection needs to be a high priority. Available rapid assessment tools can then be used to identify species that warrant more comprehensive investigation.