Plant mitochondrial genomes exhibit remarkable structural plasticity and evolutionary complexity; however, their diversity and evolutionary mechanisms remain poorly understood in many crop lineages. In this study, we systematically characterized the mitochondrial genome structures of Cucumis species to provide new insights into mitochondrial genome evolution and structural variation within the Cucurbitaceae family. High-quality long-read sequencing data were generated and integrated with PacBio HiFi sequencing to achieve accurate de novo assembly of Cucumis mitochondrial genomes. The assembled mitogenomes exhibited highly dynamic architectures, displaying non-canonical multipartite structures composed of multiple independent circular and linear molecules. Comprehensive annotation identified conserved protein-coding genes, transfer RNA (tRNA) genes, and ribosomal RNA (rRNA) genes, accompanied by pronounced codon usage preferences. Repeat sequence analyses revealed that long-distance dispersed repeats (LDRs) play a crucial role in mediating homologous recombination and driving mitochondrial genome structural rearrangements. Furthermore, multiple mitochondrial plastid DNA transfer events (MTPTs) were identified, highlighting frequent genetic exchanges between organellar genomes in Cucumis. Phylogenetic analyses revealed lineage-specific evolutionary patterns within Cucumis, accompanied by signatures of accelerated mitochondrial genome evolution. RNA editing analysis identified numerous editing sites, with respiratory-related genes, including nad4, ccmB, mttB, and nad2, exhibiting relatively high editing frequencies. Most RNA editing events occurred at the second nucleotide position of codons, suggesting their potential contribution to maintaining mitochondrial protein stability and respiratory function. Collectively, this study provides comprehensive insights into mitochondrial genome architecture, structural evolution, and functional regulation in Cucumis, offering valuable genomic resources and a theoretical foundation for understanding organelle genome evolution and adaptation in Cucurbitaceae.
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· Agile Conference· 92 citations· ⚡7
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.· International Conference on...· 84 citations· ⚡6
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.· Journal of Systems and Softw...· 78 citations· ⚡6
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.· arXiv.org· 62 citations· ⚡3
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· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.