Oct 2026· Frontiers in Plant Science· 0 citations· 49 references
Plant Molecular Biology Research
Abstract
Alternative promoter usage is a widespread regulatory mechanism whereby a single gene utilizes two or more transcription start sites (TSSs), enabling the production of functionally distinct transcript and protein isoforms in a tissue-, developmental stage-, or condition-specific manner. While this phenomenon has been extensively studied in metazoans, genome-wide characterization of alternative promoter usage in crop species is still lacking. Here, we use Cap Analysis of Gene Expression (CAGE) to characterize genome-wide TSS dynamics across three stages of barley embryo development and the developing inflorescence. We identify 2,129 developmental promoter shifts relating to 1,353 genes, corresponding to ~5% of genes expressed in at least one of the four developmental stages. One-third of these shifts coincided with significant differential gene expression, and the affected genes were enriched for developmental and regulatory functions, particularly those related to cell wall biosynthesis and hormone signaling. Furthermore, for 521 genes, we predict potential effects of alternative TSS usage on translational efficiency or protein structure, suggesting regulatory consequences that extend beyond changes in transcript abundance. Together, our findings suggest that alternative promoter selection is an important regulatory mechanism during barley development and provide new insights into the developmental regulation of gene expression in cereals. Moreover, we provide a gene-level catalog of developmental promoter shifts in barley, offering a valuable resource for promoter editing and engineering to fine-tune gene expression for desirable agronomic traits.
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
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.