Efficient chloroplast development underpins photosynthetic efficiency, biomass accumulation, and ultimately crop productivity. In this study, we characterized wgsl2-0, a stable white-green striped leaf mutant isolated from an ethyl methanesulfonate-mutagenized RP125 population of maize (Zea mays L.). The mutant maintained clear longitudinal striping throughout development and displayed lower chlorophyll content, reduced levels of several chlorophyll precursors and carotenoids, and reduced net photosynthetic rate in the green mutant sectors measured relative to WT. Cytological and ultrastructural analyses showed that the white sectors contained poorly differentiated chloroplasts with disorganized thylakoid membranes and abnormal leaf cellular architecture. Genetic analysis supported control by a single recessive nuclear locus. Fine mapping delimited the locus to an approximately 3.04 Mb interval on chromosome 1 between InDel-14 and InDel-26 and identified Zm00001eb043060, designated ZmWGSL2, as the most likely candidate gene. An independent nonsense allele, wgsl2-1, failed to complement wgsl2-0, strengthening the genetic evidence. ZmWGSL2 is a chloroplast-localized P-type PPR protein lacking recognizable E, E+, or DYW extensions. Representative Sanger chromatograms revealed altered rpoB nucleotide peak patterns in wgsl2-0, but these qualitative observations do not establish direct regulation of rpoB RNA editing by ZmWGSL2. Sector-specific reductions in several photosynthesis-associated plastid transcripts were observed in the white leaf sectors. Together, these results provide strong genetic evidence for ZmWGSL2 as the most likely candidate gene associated with chloroplast development and leaf-colour formation in maize.
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.