Search bioRxiv⌕ Search

Biology subjects

Rahmatpour, N.

Publications and source records attributed to Rahmatpour, N..

4 recordsLinked to original sources

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. Article SummaryThe first draft genome of the rare South African endemic moss Physcomitrellopsis Africana is presented. The 414 Mb assembly contains 22,925 genes, including two uniquely horizontally transferred genes, but lacks 97 of the microbial genes previously identified in the closely related model, Physcomitrium patens - highlighting the dynamic role of HGT in the evolution of these moss genomes and loss. This study presents best practices for contamination detection and new insights into HGT identification.

genomics↗

Genome dynamics in mosses: Extensive synteny coexists with a highly dynamic gene space

BackgroundWhile genome evolutionary processes of seed plants are intensively investigated, very little is known about seed-free plants in this respect. Here, we use one of the largest groups of seed-free plants, the mosses, and newly generated chromosome-scale genome assemblies to investigate three poorly known aspects of genome dynamics and their underlying processes in seed-free plants: (i) genome size variation, (ii) genomic collinearity/synteny, and (iii) gene set differentiation. ResultsComparative genomic analyses on the model moss Physcomitrium (Physcomitrella) patens and two genomes of Funaria hygrometrica reveal that, like in seed plants, genome size change (approx. 140 Mbp) is primarily due to transposable element expansion/contraction. Despite 60 million years of divergence, the genomes of P. patens and F. hygrometrica show remarkable chromosomal stability with the majority of homologous genes located in conserved collinear blocks. In addition, both genomes contain a relatively large set of lineage-specific genes with no detectible homologs in the other species genome, suggesting a highly dynamic gene space fueled by the process of de novo gene birth and loss rather than by gene family diversification/duplication. ConclusionsThese, combined with previous observations suggest that genome dynamics in mosses involves the coexistence of a collinear homologous and a highly dynamic species-specific gene sets. Besides its significance for understanding genome evolution, the presented chromosome-scale genome assemblies will provide a foundation for comparative genomic and functional studies in the Funariaceae, a family holding historical and contemporary model taxa in the evolutionary biology of mosses.

genomics↗

Revisiting the early evolution of Cyanobacteria with a new thylakoid-less and deeply diverged isolate from a hornwort

Cyanobacteria have played pivotal roles in Earths 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 culturable member of Gloeobacteria, Anthocerobacter panamensis, isolated from a tropical hornwort. Anthocerobacter diverged from Gloeobacter over 1.4 billion years ago and has low 16S 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, Anthocerobacter has one of the most reduced gene sets for photosystems and phycobilisomes among Cyanobacteria. Despite this, Anthocerobacter 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, Anthocerobacter opens a new window to further illuminate the dawn of oxygenic photosynthesis.

evolutionary biology↗

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, while focusing primarily on protein-coding transcripts. Following filters applied through assessment of true expression and frame selection, open-source tools are leveraged to functionally annotate the translated proteins. Downstream features include fast similarity search across three repositories, protein domain assignment, orthologous gene family assessment, and Gene Ontology 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.

bioinformatics↗