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Phylogenetic analyses of transcriptome data for representatives of the red algal Acrochaetiales-Palmariales Complex provided robust support for the assignment of genera to the constituent families. In the Acrochaetiales, the genera Acrochaetium, Grania, and an unnamed genus-level lineage (Acrochaetiac sp._1Aus) were assigned to the Acrochaetiaceae, while Audouinella is placed in a resurrected Audouinellaceae and Rhodochorton and Rhododrewia constitute the resurrected Rhodochortonaceae. For the Palmariales, transcriptome data solidly support the inclusion of Camontagnea and Rhodothamniella in the Rhodothamniellaceae, Meiodiscus and Rubrointrusa in the Meiodiscaceae, Rhodonematella and Rhodophysema in the Rhodophysemataceae, while Devaleraea and Palmaria remained in the Palmariaceae. These analyses, however, questioned the monophyly of Palmaria, which prompted a second round of analyses using eight common red algal phylogenetic markers and including a broader sampling of red algal genera in our analyses. These results supported transfer of Palmaria callophylloides and P. mollis to the genus Devaleraea necessitating new combinations, and further added the genus Halosaccion to the Palmariaceae and the genera Kallymenicola and Rhodophysemopsis to the Meiodiscaceae. Finally, DNA barcode (mitochondrial COI-5P) and ITS data were explored and supported the continued recognition of Palmaria palmata as a single species in the North Atlantic.
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http://dx.doi.org/10.1016/j.ympev.2017.11.002 | DOI Listing |
Diagn Pathol
September 2025
Department of Gastrointestinal Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Background: Gastric cancer is one of the most common cancers worldwide, with its prognosis influenced by factors such as tumor clinical stage, histological type, and the patient's overall health. Recent studies highlight the critical role of lymphatic endothelial cells (LECs) in the tumor microenvironment. Perturbations in LEC function in gastric cancer, marked by aberrant activation or damage, disrupt lymphatic fluid dynamics and impede immune cell infiltration, thereby modulating tumor progression and patient prognosis.
View Article and Find Full Text PDFGenome Biol
September 2025
Department of Evolutionary Genetics, Max-Planck Institute for Evolutionary Biology, Plön, Germany.
Background: Most RNA-seq datasets harbor genes with extreme expression levels in some samples. Such extreme outliers are usually treated as technical errors and are removed from the data before further statistical analysis. Here we focus on the patterns of such outlier gene expression to investigate whether they provide insights into the underlying biology.
View Article and Find Full Text PDFSci China Life Sci
September 2025
State Key Laboratory of Plant Environmental Resilience, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Diurnal floret opening and closure (DFOC) is essential for rice reproductive development and hybrid breeding, yet transcriptional dynamics and underlying regulatory networks remain poorly characterized. Here, we conducted high-temporal-resolution transcriptomic analyses of lodicules to dissect DFOC regulatory networks in two japonica rice cultivars. Analysis of differentially expressed genes (DEGs) uncovered core genes shared by both cultivars, primarily associated with jasmonic acid (JA) signaling and cell wall remodeling.
View Article and Find Full Text PDFMetabolomics
September 2025
Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France.
Introduction: Initially developed for transcriptomics data, pathway analysis (PA) methods can introduce biases when applied to metabolomics data, especially if input parameters are not chosen with care. This is particularly true for exometabolomics data, where there can be many metabolic steps between the measured exported metabolites in the profile and internal disruptions in the organism. However, evaluating PA methods experimentally is practically impossible when the sample's "true" metabolic disruption is unknown.
View Article and Find Full Text PDFEMBO J
September 2025
School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
Insulin resistance is a heritable risk factor for many chronic diseases; however, the genetic drivers remain elusive. In seeking these, we performed genetic mapping of insulin sensitivity in 670 chow-fed Diversity Outbred in Australia (DOz) mice and identified a genome-wide significant locus (QTL) on chromosome 8 encompassing 17 defensin genes. By taking a systems genetics approach, we identified alpha-defensin 26 (Defa26) as the causal gene in this region.
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