Skip to content
#gene editing Open access

Comparative mitochondrial genomics of the medicinal mushroom Phellinus tuberculosus reveals conserved core genes and dynamic genome evolution within Hymenochaetaceae

Oct 2026 · BMC Genomics
Genomics and Phylogenetic Studies

Abstract

Phellinus species are well-known white-rot fungi belonging to the Hymenochaetaceae family. Phellinus species contain medicinally functional compounds and nutrients. However, a comprehensive genus-level analysis of their mitochondrial genomes remains unavailable to date. The complete mitochondrial genome of P. tuberculosus (115,079 bp, 26.1% GC) was assembled, annotated, and analyzed based on comparative genomic analysis with two previously available Phellinus species. Fourteen core protein-coding genes, 27 tRNA genes, and 2 rRNA genes were annotated, along with 79 simple sequence repeats and multiple repeat sequences. A total of 42 RNA C-to-U editing sites were predicted, with nad 2 exhibiting the highest number of editing sites. Comparative genomic and phylogenomic analyses showed that the P. tuberculosus lineage shared conserved mitochondrial genome features and clustered with the two previously characterized Phellinus species in a strongly supported clade. This study conducts a comprehensive analysis of Phellinus mitochondrial genomes and describes the first complete mitochondrial genome of P. tuberculosus . The findings illustrate the evolutionary conservation of mitochondrial genomes within Phellinus , advance the current understanding of fungal evolution and the potential medicinal use of fungi, and provide a valuable genomic resource for phylogenetic, ecological, and biotechnological studies of medicinally important species.

View source

Similar papers

#computer vision Conference Aug 2008

A Preliminary Roadmap for Empirical Research on Agile Software Development

Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on e...

Torgeir Dingsøyr, T. Dybå, P. Abrahamsson · 92 citations · ⚡7
#computer vision Book Open access Mar 2017

On the Unhappiness of Software Developers

The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 84 citations · ⚡6
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Review Apr 2024

AI-powered Code Review with LLMs: Early Results

The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.

Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al. · 62 citations · ⚡3
#computer vision Conference Aug 2008

Scrum in a Multiproject Environment: An Ethnographically-Inspired Case Study on the Adoption Challenges

Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoptio...

A. Marchenko, P. Abrahamsson · 59 citations · ⚡11

Related blog posts

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.