De novo transcriptome assembly of next-generation sequencing information has become a powerful tool for the study of non-model species. Transcriptomes generated by this method can have high variability due to endless combinations of user-defined variables and programs available for assembly. Many methods have been developed for evaluating the quality of these assemblies. Here, raw sequencing information for Green ash (Fraxinus pennsylvanica Marshall) that was previously published has been re-evaluated. An updated assembly has been developed by including additional sequencing information not used for the currently accepted transcriptome in combination with more stringent trimming parameters. Input reads were assembled with Trinity and Abyss assembly programs. The resulting Trinity assembly has a 7.3-fold increase in genomic breadth of coverage, a 2.4-fold increase in predicted complete open reading frames, an increased L50 value, and increased Benchmarking Universal Single-Copy Ortholog completeness compared to the earlier published transcriptome. This updated transcriptome can be leveraged to help fight the rapid decline of green ash due to pathogens.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234383 | PMC |
| http://dx.doi.org/10.1093/g3journal/jkad086 | DOI Listing |
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