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Results for “Domains of unknown function (DUFs)”

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PubMed2026

Identification of rice DUF1719 gene family and analysis of alkaline tolerance function of OsDUF1719.8.

Alkaline stress severely constrains the physiological metabolism and growth and development of rice through high pH and ionic toxicity. Domains of unknown function (DUF) play significant roles in plant stress responses. However, the function of the DUF1719 family (PF08224) in rice has not been reported and further research is needed. This study systematically identified the OsDUF1719 gene family in rice and investigated the function of OsDUF1719.8 under alkaline stress. The results demonstrate that the rice DUF1719 family comprises 13 protein members, all containing the PF08224 domain. It is predicted that this domain may play a role in ATPase activation. Evolutionary analysis divided DUF1719 proteins from eight grass species into six subgroups, with highly conserved gene structures, motifs, and tertiary architectures within each subgroup. Promoter analysis indicated enrichment of stress- and hormone-responsive elements, implying broad involvement in stress regulation. Expression analysis revealed that several genes, including OsDUF1719.5 and OsDUF1719.8, were upregulated under multiple abiotic stresses. Notably, OsDUF1719.8 was strongly induced during early alkaline stress. Consequently, we further analyzed the function of OsDUF1719.8 in the rice alkaline stress response. The results demonstrate that overexpression of OsDUF1719.8 enhanced rice alkaline tolerance, whereas knockout mutants exhibited stress sensitivity. OsDUF1719.8 enhances rice tolerance to alkaline stress by coordinately regulating reactive oxygen species metabolism, promoting the accumulation of osmotic adjustment compounds, and modulating ion homeostasis. This study provides the first systematic identification of the DUF1719 family and elucidates the function of OsDUF1719.8 in positively regulating rice alkaline tolerance, offering a novel gene for alkali-tolerant molecular breeding of rice.

Oryza↗
PubMed2025

Rapid assessment of clinical severity for salmonellosis cases via protein family domain analysis and machine learning.

Salmonella is a common pathogen, infecting more than a million people yearly. Rapid assessment of clinical case severity is essential for improving patient outcomes and optimizing healthcare resources. Advancements in genome sequencing technologies have enabled the analysis of bacterial genomes from many clinical cases, opening up new opportunities for precise and timely diagnosis. This study proposes a genome-based framework for identifying critical Salmonella cases before the onset of critical symptoms and facilitating early medical intervention. By leveraging protein family (Pfam) domains as the representation for genomic data, the complex genetic profiles of Salmonella cases are simplified into interpretable features. The severity levels of cases were investigated through rigorous data analysis, resulting in a set of 70 Pfam domains that could be potentially used as biomarkers. Machine Learning was employed to assess the predictive power of the curated Pfam biomarkers, achieving high accuracy (~93%) in sorting cases into critical, moderate, and mild categories. The results demonstrate the efficacy of the proposed approach. This framework highlights the potential of using bacterial genomic data in clinical decision-making, opening the window for timely personalized interventions for Salmonella infection management.

Domains of unknown function (DUFs)↗
PubMed2026

OsDUF3615 regulates grain size and quality traits by modulating cell proliferation and starch metabolism in rice.

Domains of Unknown Function (DUFs) are widely distributed across diverse genomes and are increasingly recognized as important regulators of plant growth, development, and stress responses. DUF3615 is a highly conserved plant-specific protein motif; however, its biological function remains largely unknown. Previously, the gene OsGAPC3, a key regulator of grain quality, was isolated and functionally characterized in rice. Transcriptome analysis during the dissection of the OsGAPC3-mediated regulatory pathway revealed that OsDUF3615 is significantly upregulated in Osgapc3 mutants, suggesting its potential involvement in rice development and grain traits. In this study, we show that OsDUF3615 is constitutively expressed in rice and encodes a nucleus-localized protein. Functional analysis demonstrated that overexpression of OsDUF3615 significantly promotes cell proliferation and expansion in the lemma along the grain width axis, leading to increased grain width and thousand-grain weight. Moreover, OsDUF3615 modulates grain filling dynamics and alters the accumulation of major storage compounds, including starch and free fatty acids, thereby affecting both nutritional composition and eating quality traits, such as taste value. Collectively, our findings identify OsDUF3615 as a key regulator of rice grain development and quality formation, providing valuable genetic resources for the molecular breeding of high-quality rice varieties.

OsDUF3615↗