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Senescence is an important trait in maize ( L.), a key crop that provides nutrition values and a renewable source of bioenergy worldwide. Genome-wide association studies (GWAS) can be used to identify causative genetic variants that influence the major physiological measures of senescence, which is used by plants as a defense mechanism against abiotic and biotic stresses affecting its performance. We measured four physiological and two agronomic traits that affect senescence. Six hundred seventy-two recombinant inbred lines (RILs) were evaluated in two consecutive years. Thirty-six candidate genes were identified by genome-wide association study (GWAS), and 11 of them were supported by additional evidence for involvement in senescence-related processes including proteolysis, sugar transport, and sink activity. We identified a candidate gene, Zm00001d043586, significantly associated with chlorophyll, and independently studied its transcription expression in an independent panel. Our results showed that Zm00001d043586 affects chlorophyl rate degradation, a key determinant of senescence, at late plant development stages. These results contribute to better understand the genetic relationship of the important trait senescence with physiology related parameters in maize and provide new putative molecular markers that can be used in marker assisted selection for line development.
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http://dx.doi.org/10.3389/fgene.2021.716821 | DOI Listing |
JAMA Dermatol
September 2025
Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
Importance: Increasingly, strategies to systematically detect melanomas invoke targeted approaches, whereby those at highest risk are prioritized for skin screening. Many tools exist to predict future melanoma risk, but most have limited accuracy and are potentially biased.
Objectives: To develop an improved melanoma risk prediction tool for invasive melanoma.
Mol Divers
September 2025
State Key Laboratory Basis of Xinjiang Indigenous Medicinal Plants Resource Utilization, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, Xinjiang, China.
Aurora kinases are a group of serine/threonine kinases essential for cell mitosis, comprising Aurora A, B, and C. However, the Aurora B is overexpressed in multiple tumors and the aurone has been proved to exhibit potent inhibitory activity against Aurora B kinase by our group. The indolinone was considered as an aurone scaffold hopping analog, and the indolinone-based Aurora B inhibitor library (3577 molecules) was constructed by FBDD strategy.
View Article and Find Full Text PDFBiotechnol Lett
September 2025
Unit of Microbiology and Immunology, Vector Control Research Centre, Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Puducherry, 605006, India.
Effective mosquito control is essential for reducing the transmission of vector-borne diseases. This study focuses on the comprehensive characterization of mosquitocidal toxins produced by Bacillus thuringiensis serovar israelensis (Bti) VCRC B646 and the associated insecticidal genes. The bacterium was cultured, and the spore-crystal complex was purified to identify the mosquitocidal proteins.
View Article and Find Full Text PDFFunct Integr Genomics
September 2025
Department of Plastic Surgery, the First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, China.
Keloid scarring and Metabolic Syndrome (MS) are distinct conditions marked by chronic inflammation and tissue dysregulation, suggesting shared pathogenic mechanisms. Identifying common regulatory genes could unveil novel therapeutic targets. Methods.
View Article and Find Full Text PDFMar Biotechnol (NY)
September 2025
Yazhou Bay Innovation Institute, Hainan Tropical Ocean University, Sanya, China.
Epinephelus tukula is an economically important aquaculture animal, and a major parent in grouper crossbreeding. To better preserve and exploit E. tukula germplasm resources, a core collection (containing 34 individuals derived from 10 genetic groups) was first constructed based on phenotypic growth traits and whole-genome resequencing (WGS) data.
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