Crossroads of assembling a moss genome: navigating contaminants and horizontal gene transfer in the moss Physcomitrellopsis africana.

The first chromosome-scale reference genome of the rare narrow-endemic African moss Physcomitrellopsis africana is presented here. Assembled from 73x nanopore long reads and 163x BGI-seq short reads, the 414 Mb reference comprises 26 chromosomes and 22,925 protein-coding genes (BUSCO: C:94.8%[D:13.9%]). This genome holds two genes that withstood rigorous filtration of microbial contaminants, have no homolog in other land plants and are thus interpreted as resulting from two unique horizontal gene transfers from microbes. Further, Physcomitrellopsis africana shares 176 of the 273 published HGT candidates identified in Physcomitrium patens, but lacks 98 of these, highlighting that perhaps as many as 91 genes were acquired in P. patens in the last 40 million years following its divergence from its common ancestor with P. africana. These observations suggest rather continuous gene gains via HGT followed by potential losses, during the diversification of the Funariaceae. Our findings showcase both dynamic flux in plant HGTs over evolutionarily "short" timescales, alongside enduring impacts of successful integrations, like those still functionally maintained in extant Physcomitrellopsis africana. Furthermore, this study describes the informatic processes employed to distinguish contaminants from candidate HGT events.

A novel thylakoid-less isolate fills a billion-year gap in the evolution of Cyanobacteria.

Cyanobacteria have played pivotal roles in Earth's geological history, especially during the rise of atmospheric oxygen. However, our ability to infer the early transitions in Cyanobacteria evolution has been limited by their extremely lopsided tree of life-the vast majority of extant diversity belongs to Phycobacteria (or "crown Cyanobacteria"), while its sister lineage, Gloeobacteria, is depauperate and contains only two closely related species of Gloeobacter and a metagenome-assembled genome. Here, we describe a new cultured member of Gloeobacteria, Anthocerotibacter panamensis, isolated from a tropical hornwort. Anthocerotibacter diverged from Gloeobacter over 1.4 Ga ago and has low 16S rDNA identities with environmental samples. Our ultrastructural, physiological, and genomic analyses revealed that this species possesses a unique combination of traits that are exclusively shared with either Gloeobacteria or Phycobacteria. For example, similar to Gloeobacter, it lacks thylakoids and circadian clock genes, but the carotenoid biosynthesis pathway is typical of Phycobacteria. Furthermore, Anthocerotibacter has one of the most reduced gene sets for photosystems and phycobilisomes among Cyanobacteria. Despite this, Anthocerotibacter is capable of oxygenic photosynthesis under a wide range of light intensities, albeit with much less efficiency. Given its key phylogenetic position, distinct trait combination, and availability as a culture, Anthocerotibacter opens a new window to further illuminate the dawn of oxygenic photosynthesis.

High gene space divergence contrasts with frozen vegetative architecture in the moss family Funariaceae.

A new paradigm has slowly emerged regarding the diversification of bryophytes, with inferences from molecular data highlighting a dynamic evolution of their genome. However, comparative studies of expressed genes among closely related taxa is so far missing. Here we contrast the dimensions of the vegetative transcriptome of Funaria hygrometrica and Physcomitrium pyriforme against the genome of their relative, Physcomitrium (Physcomitrella) patens. These three species of Funariaceae share highly conserved vegetative bodies, and are partially sympatric, growing on mineral soil in mostly temperate regions. We analyzed the vegetative gametophytic transcriptome of F. hygrometrica and P. pyriforme and mapped short reads, transcripts, and proteins to the genome and gene space of P. patens. Only about half of the transcripts of F. hygrometrica map to their ortholog in P. patens, whereas at least 90% of those of P. pyriforme align to loci in P. patens. Such divergence is unexpected given the high morphological similarity of the gametophyte but reflects the estimated times of divergence of F. hygrometrica and P. pyriforme from P. patens, namely 55 and 20 mya, respectively. The newly sampled transcriptomes bear signatures of at least one, rather ancient, whole genome duplication (WGD), which may be shared with one reported for P. patens. The transcriptomes of F. hygrometrica and P. pyriforme reveal significant contractions or expansions of different gene families. While transcriptomes offer only an incomplete estimate of the gene space, the high number of transcripts obtained suggest a significant divergence in gene sequences, and gene number among the three species, indicative of a rather strong, dynamic genome evolution, shaped in part by whole, partial or localized genome duplication. The gene ontology of their specific and rapidly-evolving protein families, suggests that the evolution of the Funariaceae may have been driven by the diversification of metabolic genes that may optimize the adaptations to environmental conditions, a hypothesis well in line with ecological patterns in the genetic diversity and structure in seed plants.

EnTAP: Bringing faster and smarter functional annotation to non-model eukaryotic transcriptomes.

EnTAP (Eukaryotic Non-Model Transcriptome Annotation Pipeline) was designed to improve the accuracy, speed, and flexibility of functional gene annotation for de novo assembled transcriptomes in non-model eukaryotes. This software package addresses the fragmentation and related assembly issues that result in inflated transcript estimates and poor annotation rates of protein-coding transcripts. Following filters applied through assessment of true expression and frame selection, open-source tools are leveraged to functionally annotate the reduced set of translated proteins. Downstream features include fast similarity search across five repositories, protein domain assignment, orthologous gene family assessment, and Gene Ontology (GO) term assignment. The final annotation integrates across multiple databases and selects an optimal assignment from a combination of weighted metrics describing similarity search score, taxonomic relationship, and informativeness. Researchers have the option to include additional filters to identify and remove contaminants, identify associated pathways, and prepare the transcripts for enrichment analysis. This fully featured pipeline is easy to install, configure, and runs significantly faster than comparable annotation packages. EnTAP is optimized to generate extensive functional information for the gene space of organisms with limited or poorly characterized genomic resources.