Journal Description
Biology
Biology
is an international, peer-reviewed, open access journal of biological sciences published semimonthly online by MDPI. The Spanish Society for Nitrogen Fixation (SEFIN) and Federation of European Laboratory Animal Science Associations (FELASA) are affiliated with Biology and their members receive discounts on the article processing charges.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), PubMed, PMC, PubAg, CAPlus / SciFinder, and other databases.
- Journal Rank: JCR - Q1 (Biology) / CiteScore - Q1 (General Agricultural and Biological Sciences )
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 16.8 days after submission; acceptance to publication is undertaken in 2.9 days (median values for papers published in this journal in the second half of 2025).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Impact Factor:
4.3 (2025);
5-Year Impact Factor:
4.6 (2025)
Latest Articles
The Circadian-Light-Hygiene Hypothesis: A Potential Modulator of Fertility and Birthrate Trends
Biology 2026, 15(13), 1023; https://doi.org/10.3390/biology15131023 (registering DOI) - 26 Jun 2026
Abstract
Human fertility has declined sharply since 1950, and a growing body of evidence suggests that while conventional socioeconomic factors are well-established drivers of the broader demographic transition, they do not fully account for the timing and breadth of this trend. This review examines
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Human fertility has declined sharply since 1950, and a growing body of evidence suggests that while conventional socioeconomic factors are well-established drivers of the broader demographic transition, they do not fully account for the timing and breadth of this trend. This review examines the Circadian-Light-Hygiene hypothesis, which proposes that daily light exposure is a fundamental regulator of reproductive health. We synthesize findings from photobiology, endocrinology, reproductive medicine, and epidemiology to evaluate how artificial light at night, insufficient daytime light, and irregular light–dark patterns may disrupt the hormonal timing systems that support reproduction. The available evidence indicates that such disruption can alter melatonin signaling, circadian gene regulation, and neuroendocrine rhythms, with downstream effects on ovulation, sperm quality, endometriosis, polycystic ovary syndrome, pregnancy outcomes, and developmental programming. Urbanization, screen use, and shift work appear to amplify these effects, while genetic variation may modify individual susceptibility. Although direct causal evidence in humans remains limited for several endpoints, the convergence of observational, experimental, and translational data supports circadian-light misalignment as a plausible, additional modulator of fertility decline, and a potentially modifiable contributor. Optimizing daily light exposure may therefore represent a low-cost and scalable strategy for improving reproductive health.
Full article
(This article belongs to the Special Issue Biological Rhythms and Molecular Clockworks in Physiology and Pathology (2nd Edition))
Open AccessArticle
Effects of Rosmarinic Acid and Doxorubicin Combination in Breast Cancer Cells
by
Coşkun Orhaner, Aylin Orhaner, Mehmet Cudi Tuncer and İlhan Özdemir
Biology 2026, 15(13), 1022; https://doi.org/10.3390/biology15131022 (registering DOI) - 26 Jun 2026
Abstract
Rosmarinic acid (RA), a naturally occurring polyphenolic compound, has demonstrated promising anticancer activity; however, its combinatorial potential with conventional chemotherapeutic agents remains incompletely characterized. This study investigated the cytotoxic, pro-apoptotic, oxidative stress-associated, and cytokine-associated effects of RA alone and in combination with doxorubicin
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Rosmarinic acid (RA), a naturally occurring polyphenolic compound, has demonstrated promising anticancer activity; however, its combinatorial potential with conventional chemotherapeutic agents remains incompletely characterized. This study investigated the cytotoxic, pro-apoptotic, oxidative stress-associated, and cytokine-associated effects of RA alone and in combination with doxorubicin (DOX) in 4T1 murine breast cancer cells and HaCaT human keratinocyte cells as a non-cancerous control model. Cellular viability, apoptosis, cell cycle progression, oxidative stress, mitochondrial function, cytokine responses, and apoptosis-associated molecular alterations were evaluated using complementary cellular and molecular approaches. In addition, three-dimensional (3D) tumor spheroid experiments were performed to assess treatment responses under physiologically relevant tumor-like conditions. Results demonstrated that RA synergistically enhanced DOX-induced cytotoxicity in 4T1 cells while exhibiting comparatively lower toxicity toward HaCaT cells. Combination treatment significantly increased apoptotic cell death, mitochondrial depolarization, intracellular reactive oxygen species (ROS) accumulation, apoptotic DNA fragmentation, and G2/M-phase accumulation. N-acetylcysteine (NAC)-mediated rescue experiments partially reversed ROS elevation and treatment-associated cytotoxicity in both monolayer and 3D spheroid models. Furthermore, the RA+DOX combination markedly disrupted spheroid integrity and reduced spheroid viability compared with monotherapies. Collectively, these findings indicate that RA enhances the anticancer activity of DOX and support further investigation of this combination strategy in breast cancer models.
Full article
(This article belongs to the Special Issue Breast Cancer: Molecular and Cellular Mechanism and Biomarkers)
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Open AccessReview
Fatty Kidney Disease: From Renal Lipid Dysregulation to Fibrosis
by
Toshiharu Onodera, Naoki Morimoto, Yosuke Okuno and Iichiro Shimomura
Biology 2026, 15(13), 1021; https://doi.org/10.3390/biology15131021 (registering DOI) - 26 Jun 2026
Abstract
Progression to fibrosis is a major complication of chronic kidney disease (CKD) in obesity, type 2 diabetes, hypertension, and metabolic syndrome, yet effective antifibrotic therapies remain limited. Here, we review how disordered renal energy metabolism—ectopic lipid accumulation, impaired fatty acid oxidation (FAO), and
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Progression to fibrosis is a major complication of chronic kidney disease (CKD) in obesity, type 2 diabetes, hypertension, and metabolic syndrome, yet effective antifibrotic therapies remain limited. Here, we review how disordered renal energy metabolism—ectopic lipid accumulation, impaired fatty acid oxidation (FAO), and a compensatory shift toward glycolysis—drives tubulointerstitial fibrosis in fatty kidney disease. Lipid overload in tubular, glomerular, and vascular cells arises from increased uptake via scavenger and lipoprotein receptors, enhanced lipogenesis, and reduced lipid catabolism and clearance. Spatial lipidomic studies further reveal nephron-segment-specific lipid signatures and obesity-associated oxidized phospholipids linked to glomerular inflammation. Lipotoxicity, mitochondrial damage, and associated innate-immune signaling, ferroptosis, cellular senescence, and adipose-derived mediators (including leptin, adiponectin, and a locally active renin–angiotensin system) converge on myofibroblast activation from pericytes, fibroblasts, and other resident cells. We discuss established and emerging therapies targeting this metabolic axis—peroxisome proliferator-activated receptor-α (PPARα) modulators, sodium–glucose cotransporter-2 (SGLT2) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, and the mineralocorticoid receptor antagonist finerenone—and propose that restoring metabolic flexibility, by rescuing FAO while limiting maladaptive glycolysis, offers a promising disease-modifying strategy for fatty kidney disease.
Full article
(This article belongs to the Special Issue Physiology and Pathophysiology of the Kidney)
Open AccessArticle
Unraveling the Population Structure of Temnocephala iheringi Across Host Associations and Geographic Regions
by
Agustina Zivano, Carolina Noreña, Samantha A. Seixas, Francisco Brusa and Cristina Damborenea
Biology 2026, 15(13), 1020; https://doi.org/10.3390/biology15131020 (registering DOI) - 26 Jun 2026
Abstract
Commensalism, a frequent type of interaction among freshwater invertebrates, remains poorly studied. Some turbellarians (Platyhelminthes: Temnocephalidae) are specialized obligate commensals of crustaceans, mollusks, insects, and turtles. In the Neotropics, Temnocephala iheringi inhabits the mantle cavity of snails (Mollusca: Gastropoda) from Pantanal (Brazil) to
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Commensalism, a frequent type of interaction among freshwater invertebrates, remains poorly studied. Some turbellarians (Platyhelminthes: Temnocephalidae) are specialized obligate commensals of crustaceans, mollusks, insects, and turtles. In the Neotropics, Temnocephala iheringi inhabits the mantle cavity of snails (Mollusca: Gastropoda) from Pantanal (Brazil) to the Pampean region of Argentina, where several species serve as hosts. This study aimed to molecularly characterize several populations of T. iheringi and to analyze their genetic and morphological variability across different host species and geographic areas. Using the mitochondrial COI marker, we assessed populations associated with five of its seven known host species through phylogenetic reconstructions, species delimitation approaches, and haplotype network analyses. Combined with morphological data, results support COI as an effective identification tool for Temnocephalidae. Several genetic lineages were identified and were largely congruent with collection localities. However, specimens associated with hosts displaying high dispersal capabilities (i.e., Pomacea canaliculata and P. maculata) showed low mitochondrial genetic differentiation and minimal phylogenetic structure across large distances, which may be consistent with recent dispersal and/or ongoing connectivity among populations. These findings provide new insights into the evolutionary dynamics of this specific temnocephalid–snail association. Given that some hosts are highly invasive and even considered pests in several countries, the data and genetic sequences generated in this study may prove valuable for future research on symbiont diversity and dispersal.
Full article
(This article belongs to the Section Marine and Freshwater Biology)
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Open AccessArticle
Curcumin Protects Mouse Spermatogonia from Triptolide-Induced Injury Through Modulation of Ferroptosis-Related Pathways
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Chenyang Wang, Pengfei Zhang, Xuyang Liu, Mingxing Li, Long Chen, Qianqian Yang and Yulin Huang
Biology 2026, 15(13), 1019; https://doi.org/10.3390/biology15131019 (registering DOI) - 26 Jun 2026
Abstract
Triptolide (TP) is an effective anti-inflammatory and immunosuppressive agent, yet its clinical application is constrained by significant male reproductive toxicity. Curcumin, a natural antioxidant, exhibits protective effects; however, whether it protects against TP-induced damage during mouse spermatogenesis and the underlying mechanisms remain incompletely
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Triptolide (TP) is an effective anti-inflammatory and immunosuppressive agent, yet its clinical application is constrained by significant male reproductive toxicity. Curcumin, a natural antioxidant, exhibits protective effects; however, whether it protects against TP-induced damage during mouse spermatogenesis and the underlying mechanisms remain incompletely understood. Methods: Proteomic analysis was performed to investigate the protective mechanism of curcumin in mouse GC-1 cells, followed by multiple validation assays including CCK-8 assay, apoptosis detection, measurement of reactive oxygen species (ROS), glutathione (GSH), malondialdehyde (MDA), and Fe2+ levels, quantitative polymerase chain reaction (qPCR), Western blotting (WB), hematoxylin-eosin (HE) staining, and immunofluorescence. Results: Proteomic analysis revealed that curcumin primarily ameliorated TP-induced damage in mouse spermatogonia by modulating ferroptosis-related pathways. Curcumin elevated GSH levels; reduced MDA, ROS, and Fe2+ levels; alleviated lipid peroxidation; and regulated ferroptosis-related pathways in both TP-induced GC-1 cells and testicular tissue. These effects were associated with upregulation of the mRNA and protein expression of Nrf2, Gclc, and Map1lc3a and downregulation of Tfrc and Dmt1. Collectively, these findings demonstrate the protective effect of curcumin against TP-induced spermatogonial damage. Conclusions: Curcumin regulated ferroptosis-related pathways by modulating the expression of Nrf2, Gclc, Map1lc3a, Tfrc, and Dmt1, thereby significantly ameliorating TP-induced damage in mouse spermatogonia.
Full article
(This article belongs to the Section Developmental and Reproductive Biology)
Open AccessReview
From Allozymes to Genomics: Reframing the Systematics and Population Structure of Opisthorchis viverrini and Its Bithynia Hosts
by
Naruemon Bunchom, Weerachai Saijuntha, Paiboon Sithithaworn, Ross H. Andrews, Alan D. Ziegler and Chairat Tantrawatpan
Biology 2026, 15(13), 1018; https://doi.org/10.3390/biology15131018 (registering DOI) - 26 Jun 2026
Abstract
The carcinogenic liver fluke Opisthorchis viverrini underlies one of the world’s heaviest burdens of bile duct cancer, yet for decades it was treated as a single, genetically uniform parasite whose transmission was shaped mainly by environment and human behavior. However, advances in molecular
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The carcinogenic liver fluke Opisthorchis viverrini underlies one of the world’s heaviest burdens of bile duct cancer, yet for decades it was treated as a single, genetically uniform parasite whose transmission was shaped mainly by environment and human behavior. However, advances in molecular biology have fundamentally reshaped this conceptual model. Evidence accumulated over the past three decades demonstrates that O. viverrini comprises geographically structured populations linked to hydrological connectivity, host distribution, and long-term evolutionary processes across interconnected river systems of mainland Southeast Asia, particularly within the Lower Mekong Basin. This review synthesizes research on the systematics and population structure of O. viverrini and its Bithynia snail hosts, tracing the transition from early allozyme studies to contemporary DNA-based and genomic approaches. Collectively, mitochondrial, nuclear, microsatellite, and intron markers reveal strong spatial structuring among parasite populations, while genetic patterns observed in snail hosts show partial geographic concordance with parasite population structure, suggesting that both may be influenced by shared hydrological organization, ecological isolation, and host connectivity across endemic aquatic systems. Population structure is strongly scale-dependent, with local panmixia often occurring within connected aquatic systems but pronounced differentiation emerging across broader geographic regions. Together, these findings indicate that transmission dynamics are shaped not only by environmental and behavioral factors, but also by evolutionary and landscape-level processes influencing host and parasite connectivity. Finally, we emphasize the increasing significance of population genomics and landscape genetics in understanding how transmission systems persist, disperse, reconnect, and respond to environmental change across endemic landscapes.
Full article
(This article belongs to the Special Issue Advances in Infection and Genetic Diversity of Zoonotic Parasites, Hosts and Vectors)
Open AccessArticle
Selenoprotein F Deficiency Drives Diet-Induced Metabolic Dysfunction in Female Mice by Aggravating Hypothalamic Endoplasmic Reticulum Stress
by
Zimeng Li, Pengyu Zhao, Wanru Yang and Hongmei Liu
Biology 2026, 15(13), 1017; https://doi.org/10.3390/biology15131017 (registering DOI) - 26 Jun 2026
Abstract
Obesity exhibits pronounced sex-dependent differences in susceptibility and progression; however, the molecular mechanisms coordinating central energy sensing with peripheral thermogenic responses remain incompletely defined. Selenoprotein F (SELENOF), an endoplasmic reticulum (ER)-resident member of the selenoprotein family involved in protein quality control and redox-sensitive
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Obesity exhibits pronounced sex-dependent differences in susceptibility and progression; however, the molecular mechanisms coordinating central energy sensing with peripheral thermogenic responses remain incompletely defined. Selenoprotein F (SELENOF), an endoplasmic reticulum (ER)-resident member of the selenoprotein family involved in protein quality control and redox-sensitive metabolic regulation, has not previously been investigated in the context of diet-induced obesity. In the present study, WT and SELENOF-deficient mice subjected to a 16-week high-fat diet (HFD) were combined with primary brown adipocyte experiments to determine the role of SELENOF in systemic metabolic homeostasis. SELENOF deficiency markedly aggravated HFD-induced weight gain, adipose tissue expansion, dyslipidemia, and hyperleptinemia selectively in female mice, whereas no genotype-dependent effects were observed in males. Mechanistically, SELENOF deficiency intensified hypothalamic ER stress and leptin resistance, as reflected by increased GRP78, p-IRE1α, and p-PERK expression together with SOCS3 upregulation, reduced STAT3 phosphorylation, and activation of the IKK/NF-κB inflammatory pathway. In parallel, SELENOF deficiency reduced circulating free triiodothyronine (FT3) levels and the ratio of free triiodothyronine to free thyroxine (FT3/FT4 ratio), and suppressed DIO2 and UCP1 expression in brown adipose tissue (BAT). Experiments in primary brown adipocytes further showed that SELENOF deficiency did not disrupt proximal β3-adrenergic signaling but attenuated the downstream induction of DIO2 and UCP1. Collectively, these findings provide preliminary evidence that SELENOF is associated with sex-dependent metabolic adaptation during HFD-induced stress by linking hypothalamic proteostasis with the thyroid hormone-related thermogenic signaling program in BAT.
Full article
(This article belongs to the Special Issue Animal Models of Metabolic Diseases)
Open AccessArticle
PRED-TMSdeep: Prediction of Transmembrane Topology and Signal Peptides Using Deep Learning
by
Grigorios A. Moschos, Konstantinos D. Tsirigos, Ioannis A. Tamposis and Pantelis G. Bagos
Biology 2026, 15(13), 1016; https://doi.org/10.3390/biology15131016 (registering DOI) - 26 Jun 2026
Abstract
Accurate annotation of secreted and membrane proteins requires detecting N-terminal secretion signals, locating their cleavage sites, and distinguishing secretion-signal classes, while also predicting full transmembrane topology for both alpha-helical and beta-barrel proteins. Current tools typically address either whole-protein topology with a generic signal-peptide
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Accurate annotation of secreted and membrane proteins requires detecting N-terminal secretion signals, locating their cleavage sites, and distinguishing secretion-signal classes, while also predicting full transmembrane topology for both alpha-helical and beta-barrel proteins. Current tools typically address either whole-protein topology with a generic signal-peptide category or signal-peptide type classification without integrated topology annotation, leaving end-to-end labels incomplete when both features must be resolved together. Here, we present PRED-TMSdeep, a deep learning method that jointly predicts transmembrane topology and three signal peptide classes: secretory pathway/signal peptidase I (Sec/SPI), secretory pathway/signal peptidase II (Sec/SPII), and twin-arginine translocation/signal peptidase I (Tat/SPI). We introduce a two-step constrained decoding procedure that first detects transmembrane segments and signal peptides and then resolves global orientation and refines boundaries under stricter biological constraints. On redundancy-reduced datasets curated from the Orientation of Proteins in Membranes and the Protein Data Bank of Transmembrane Proteins, PRED-TMSdeep matches leading predictors for segment-level topology while improving signal peptide classification and yielding the highest overall top-1 cleavage-site accuracy. Top-1 cleavage-site accuracy reached 89.2%, compared with 84.7% for TMbed and 86.2% for SignalP 6.0, mainly reflecting strong performance on the predominant Sec/SPI class. The software is available as a web server and a batch command-line tool with pretrained models and reproducible workflows.
Full article
(This article belongs to the Special Issue Machine Learning Applications in Biology—2nd Edition)
Open AccessArticle
Fungal Community Structure and Diversity in Four Habitat Substrates at Pied Avocet (Recurvirostra avosetta) Breeding Sites of the Yellow River Delta Coastal Wetlands
by
Xinping Yu, Qinghua Cui, Bo Zhou, Jingyi Yu, Shichang Liu, Yaojia Cao, Shuai Shang, Jun Wang and Yunpeng Liu
Biology 2026, 15(13), 1015; https://doi.org/10.3390/biology15131015 (registering DOI) - 26 Jun 2026
Abstract
To understand how habitat heterogeneity drives fungal community assembly in different habitats of the pied avocet (Recurvirostra avosetta), we analyzed four habitat types (water bodies, aquatic plants, soil, and nest sediments) using high-throughput sequencing. A total of 9980 ASVs (Amplicon Sequence
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To understand how habitat heterogeneity drives fungal community assembly in different habitats of the pied avocet (Recurvirostra avosetta), we analyzed four habitat types (water bodies, aquatic plants, soil, and nest sediments) using high-throughput sequencing. A total of 9980 ASVs (Amplicon Sequence Variants) were detected, with only 68 shared across all habitats, indicating strong community differentiation. Ascomycota and Basidiomycota dominated (50–60% relative abundance), reflecting fungal adaptability to wetlands. Water bodies showed significantly higher alpha diversity than aquatic plants and nest sediments. Beta diversity and principal coordinates analysis (PCoA) revealed closer similarity in fungal composition between water and aquatic plant communities, whereas soil and nest sediments formed distinct clusters. PERMANOVA based on binary Jaccard distances further confirmed that habitat type explained 10.9% of the variation in fungal community structure (R2 = 0.109, p = 0.001). LEfSe (LDA Effect Size) identified habitat-specific indicator taxa, supporting niche filtering and competitive exclusion as selection mechanisms. The co-occurrence network was dominated by positive correlations, suggesting metabolic complementarity that maintains ecosystem stability. Unclassified fungi accounted for 18–22% of communities, representing untapped fungal resources. These findings support that habitat heterogeneity governs multi-media fungal assembly, revealing how microhabitat conditions regulate fungal composition, diversity, and interactions. This study provides a theoretical basis for biodiversity conservation and ecological restoration in avocet habitats.
Full article
(This article belongs to the Section Microbiology)
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Open AccessArticle
Stoichiometric Characteristics of Carbon, Nitrogen, and Phosphorous and Allometric Nitrogen–Phosphorous Relationships During the Organ-to-Forest Floor Material Transformation in Representative Forest Tree Species on the Southern Slope of the Qilian Mountains
by
Xukai Yang, Shuang Ji, Jiaxiang Xu, Xiaoping Kong, Yinglian Qi, Yue Zhang, Huichun Xie and Jiawei Yan
Biology 2026, 15(13), 1014; https://doi.org/10.3390/biology15131014 - 26 Jun 2026
Abstract
The ecological stoichiometric traits of forest floor material nutrient resorption in forest ecosystems. However, systematic insights into nutrient allocation and scaling during the transformation of plant organs to forest floor material remain limited. This study examined six representative tree species on the southern
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The ecological stoichiometric traits of forest floor material nutrient resorption in forest ecosystems. However, systematic insights into nutrient allocation and scaling during the transformation of plant organs to forest floor material remain limited. This study examined six representative tree species on the southern slope of the Qilian Mountains, quantifying the carbon (C), nitrogen (N), and phosphorus (P) contents and their stoichiometric characteristics in leaves, branches, and mixed forest floor material. Allometric relationships between N and P were analyzed using the standardized major axis regression. Coniferous species exhibited a conservative strategy with high C/N and C/P ratios, whereas broad-leaved species and mixed forests exhibited nutrient-enrichment strategies. During the organ-to-forest floor material transformation, N and P contents significantly reduced, whereas C/N and C/P ratios increased, indicating strong nutrient resorption. N and P were positively associated with plant organs and forest floor material, with isometric relationships (b = 1.06 and 0.98 for plant organs and forest floor material, respectively). Because the slopes did not differ significantly from 1 (p > 0.05), the N:P ratio remained relatively constant, with no significant P limitation. This indicates that tree species regulate forest floor material quality through divergent nutrient utilization strategies, modulating nutrient cycling. This study provides a theoretical foundation for the ecological restoration and stand structure optimization of alpine forests.
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(This article belongs to the Special Issue Plant Mineral Nutrition: Enhancing Plant Resilience)
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Open AccessArticle
Biocontrol Potential of Androlaelaps casalis Against Two Key Phytoparasitic Nematodes: Tylenchulus semipenetrans and Meloidogyne incognita
by
Mahmoud M. Al-Azzazy and Suloiman M. Al-Rehiayani
Biology 2026, 15(13), 1013; https://doi.org/10.3390/biology15131013 - 26 Jun 2026
Abstract
Plant-parasitic nematodes are a significant agricultural challenge, causing extensive damage to most essential crops globally. Predatory soil mites play a significant role as biocontrol agents against plant-parasitic nematodes and other pests in the soil ecosystem. A laboratory trial was conducted to evaluate the
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Plant-parasitic nematodes are a significant agricultural challenge, causing extensive damage to most essential crops globally. Predatory soil mites play a significant role as biocontrol agents against plant-parasitic nematodes and other pests in the soil ecosystem. A laboratory trial was conducted to evaluate the potential of the soil-dwelling predatory mite, Androlaelaps casalis (Berlese), to suppress the citrus nematode, Tylenchulus semipenetrans Cobb, and the root-knot nematode, Meloidogyne incognita (Kofoid and White). Our findings show that the predatory mite, A. casalis, completed development, oviposition, and survival when fed on second-stage juveniles of both T. semipenetrans (Ts-J2) and M. incognita (Mi-J2) and egg mass of M. incognita (Mi-EM) as prey in the lab in closed arenas at 30 °C, 55% RH. Survivorship was lower on (Mi-EM) than on (Ts-J2) and (Mi-J2). Individuals of A. casalis reared on (Ts-J2) and (Mi-J2) prey demonstrated enhanced performance as compared to (Mi-EM) prey. In addition, females laid a total of 48.72, 46.50, and 12.45 eggs on the three types of prey, respectively. Life table parameters showed that feeding of A. casalis on (Ts-J2) and (Mi-J2) led to the greatest intrinsic rate of increase per day (rm = 0.286 and 0.279 females/female/day), while preying on (Mi-EM) offered the lowest reproduction rate (rm = 0.092). In conclusion, this study provides novel insights into the biology and predatory performance of A. casalis under controlled laboratory conditions, providing foundational evidence that may inform the development of future sustainable nematode management strategies.
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(This article belongs to the Section Plant Science)
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Open AccessArticle
Spatial Patterns of the Marine Alien Gastropod Rapana venosa Invasion Across the Black Sea, Mediterranean, and Atlantic Europe
by
Luca Castriota and Patrizia Perzia
Biology 2026, 15(13), 1012; https://doi.org/10.3390/biology15131012 - 25 Jun 2026
Abstract
The invasion of the marine alien gastropod Rapana venosa (Valenciennes, 1846) across different basins is investigated through a spatiotemporal analysis of distribution patterns, aggregation processes, and spatial structure. Occurrence data from scientific literature and citizen science were integrated with GIS-based spatial statistics to
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The invasion of the marine alien gastropod Rapana venosa (Valenciennes, 1846) across different basins is investigated through a spatiotemporal analysis of distribution patterns, aggregation processes, and spatial structure. Occurrence data from scientific literature and citizen science were integrated with GIS-based spatial statistics to compare invasion dynamics in the Black Sea, the Mediterranean Sea, and Northwest Europe. The Black Sea represents the most advanced invasion stage, characterized by extensive distribution, multiple aggregation zones, and strong associations with brackish, nutrient-rich areas influenced by major river outflows. In the Mediterranean, the invasion has progressed from a prolonged establishment phase to a recent acceleration, with the Adriatic Sea acting as the historical core of expansion. Here, persistent populations are concentrated near the Po River delta and lagoon systems, where reduced salinity and high nutrient loads favor both settlement and long-term persistence. In Northwest Europe, R. venosa remains in the establishment phase, forming a compact and localized nucleus along the French Atlantic coast without evidence of broad spatial expansion. Our analyses suggest that environmental factors, particularly salinity gradients and riverine inputs, are possibly related to the observed invasion patterns. Transitional coastal environments emerge as important areas for establishment and subsequent spread, suggesting that monitoring efforts should prioritize these environments.
Full article
(This article belongs to the Special Issue Marine Organisms as Powerful Indicators of Climate Change and Human Impact)
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Open AccessArticle
Dynamics of Toxic and Essential Element Transfer in Soil–Plant–Animal Systems Under Industrial Contamination
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Maxat Berdikulov, Karlygash Aubakirova, Olzhas Omirzakov, Vitaliy Krivets, Aigul Omarova, Almira Kuanysh, Assem Axeitova, Ali Zhanbolov, Aliya Alpamys, Madina Bralina, Maozhi Ren, Arvind Kumar Dubey and Zhadyrassyn Nurbekova
Biology 2026, 15(13), 1011; https://doi.org/10.3390/biology15131011 - 25 Jun 2026
Abstract
Industrial contamination can influence the transfer of toxic and essential elements through soil–plant–animal systems and may pose risks to food safety. This study aimed to determine whether contamination patterns in soil are reflected in forage vegetation and meat products and to evaluate trace-element
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Industrial contamination can influence the transfer of toxic and essential elements through soil–plant–animal systems and may pose risks to food safety. This study aimed to determine whether contamination patterns in soil are reflected in forage vegetation and meat products and to evaluate trace-element behavior across interconnected components of the soil–plant–animal system. This study assessed the distribution and transfer of 12 elements (As, Be, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb, V, and Zn) in soil, forage vegetation, and meat products from five industrially affected areas of Central Kazakhstan. Element concentrations were determined by inductively coupled plasma mass spectrometry. Soil contained the highest concentrations of most elements, confirming its role as the primary reservoir of contamination, whereas forage vegetation reflected local pollution patterns. The highest levels of contamination were generally observed in the industrial centers of Temirtau and Zhezkazgan, with Zhezkazgan exhibiting the most distinct element profile. Soil-to-forage transfer was most pronounced for Cd, Cu, Pb, and Zn, with significant positive relationships between soil and forage concentrations (p < 0.001). Meat products generally contained lower element concentrations than soil and forage; however, Cd, Hg, and As exceeded regulatory limits in 23 of 279 samples (8.2%). By integrating environmental and animal-derived matrices within a single framework, this study provides new insight into trace-element transfer pathways and facilitates the identification of priority contaminants, high-risk areas, and livestock products requiring enhanced environmental and food safety monitoring in industrial regions.
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(This article belongs to the Special Issue Advances in Ecotoxicology and Environmental Toxicology)
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Open AccessArticle
Pathogenic Potential of Pseudoxanthomonas kaohsiungensis Strain IMB-1 Based on Whole-Genome Sequencing
by
Natalia Belkova, Nadezhda Smurova, Raisa Zugeeva, Elizaveta Klimenko, Ekaterina Grigorova, Marina Dorzhieva and Uliana Nemchenko
Biology 2026, 15(13), 1010; https://doi.org/10.3390/biology15131010 - 25 Jun 2026
Abstract
Mass spectrometry and high-throughput sequencing have been introduced into clinical bacteriology. We characterized strain IMB-1, previously isolated from the cerebrospinal fluid of a child, as Pseudoxanthomonas kaohsiungensis and analyzed its biological properties, resistance phenotype, and complete genome. The IMB-1 strain displayed amylolytic, weak
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Mass spectrometry and high-throughput sequencing have been introduced into clinical bacteriology. We characterized strain IMB-1, previously isolated from the cerebrospinal fluid of a child, as Pseudoxanthomonas kaohsiungensis and analyzed its biological properties, resistance phenotype, and complete genome. The IMB-1 strain displayed amylolytic, weak lipolytic activities, and it exhibited a phenotypic resistance profile only for aminoglycosides. The dDDH calculation based on the complete genome sequence showed that strain IMB-1 was closely grouped with the type strain P. kaohsiungensis DSM 17583, and the dDDH (d4) value was 70.1%. A comparative pan-genome analysis was performed for four P. kaohsiungensis genomes, revealing a substantial shared core genome. The IMB-1 genome contained 508 unique gene clusters, representing the largest strain-specific gene set among the analyzed genomes, suggesting genomic plasticity and adaptation to the host-associated environment. Genome annotation revealed genes responsible for antibiotic, disinfecting agent, and antiseptic resistance. Gene clusters exhibiting the potential to form biofilms, adhere to the epithelial surface, and exhibit resistance to stress factors were identified. Our study demonstrates that strain IMB-1 is a potential opportunistic pathogen with significant pathogenic potential. The application of high-resolution whole-genome sequencing data in public health for pathogen identification and monitoring can improve the accuracy of infection source determination, reduce the scale and burden of outbreaks, and identify and quantify antimicrobial resistance in pathogens.
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(This article belongs to the Special Issue Research Progress in Microbial Genetics and Genomics)
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Open AccessReview
c-Jun N-Terminal Kinase: A Spatiotemporal Regulator of Cell Fate and Function
by
Seth Thesing, Mohammed Salahuddin, Emily Okonek and Ryan L. Hanson
Biology 2026, 15(13), 1009; https://doi.org/10.3390/biology15131009 - 25 Jun 2026
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c-Jun N-terminal kinase (JNK) is a highly conserved, stress-activated protein kinase that plays key roles in cellular development and cell fate. An extensive study over more than 30 years has identified roughly 100 substrates for this kinase including the transcription factor c-Jun and
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c-Jun N-terminal kinase (JNK) is a highly conserved, stress-activated protein kinase that plays key roles in cellular development and cell fate. An extensive study over more than 30 years has identified roughly 100 substrates for this kinase including the transcription factor c-Jun and other cell fate effectors. These studies have shown that JNK activation is tightly regulated both spatially through recruitment to subcellular locations and temporally through specific activation dynamics. Ultimately, these two regulatory mechanisms contribute to JNK’s function as a major driver of cell fate and function. A growing field of live-cell imaging, biosensor development, and other novel approaches to manipulate kinase function and localization are now providing novel insights into JNK function at the single-cell level. The purpose of this review is to illustrate our historical understanding of the spatiotemporal functions of JNK signaling within cells as well as emerging studies within the field. Ultimately, we aim to provide insight into remaining knowledge gaps within the field and how emerging technologies may help address these questions.
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Allometric Growth Patterns and Phenotypic Plasticity Indices of Different Grades of Annual Pinus yunnanensis Franch. Seedlings at Different Growth Stages
by
Pengrui Wang, Zhuangyue Lu, Yulan Xu and Nianhui Cai
Biology 2026, 15(13), 1008; https://doi.org/10.3390/biology15131008 - 25 Jun 2026
Abstract
Pinus yunnanensis Franch. is a native pioneer and economically important tree in Yunnan Province in China. In this study, over 1400 annual seedlings were used. Following national or regional official seedling quality standards, seedlings were classified into three grades, namely Grade I, Grade
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Pinus yunnanensis Franch. is a native pioneer and economically important tree in Yunnan Province in China. In this study, over 1400 annual seedlings were used. Following national or regional official seedling quality standards, seedlings were classified into three grades, namely Grade I, Grade II, and Grade III by using mean ± 1/2 standard deviation method according to the height of seedlings (H ± 1/2σ). Morphological traits including seedling height, ground-line diameter, root length, and root average diameter were measured from September 2022 to December 2023 for each grade. A power-law allometric growth model was constructed, and the standardized major axis method was used to analyze the allometric relationships between plant height and ground-line diameter as well as between root length and root average diameter. The results showed that higher grade seedlings exhibited stronger synergistic plasticity, accelerating allometric growth and enhancing phenotypic plasticity. A significant positive correlation was found between plant height and ground-line diameter growth rates, with ground-line diameter showing greater plasticity. Grade I seedlings demonstrated clear advantages, with mean allometric rates of 0.5860 for plant height versus ground-line diameter and 1.6315 for root length versus root system. The phenotypic plasticity index for ground-line diameter was high across all three grades, but actual thickening varied by grade due to different initial diameters, with Grade I and II seedlings growing much more than Grade III. For plant height, the index ranged from 0.3 to 0.8, with values of 0.6–0.7 for Grade I, 0.3–0.7 for Grade II, and 0.6–0.8 for Grade III. These findings provide a scientific basis for evaluating seedling quality, breeding, reproduction, and improving survival and growth in later-stage afforestation.
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(This article belongs to the Special Issue Feature Papers on Developmental and Reproductive Biology)
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Event-Scale Responses of Phytoplankton and Heterotrophic Bacterial Biomass and Production to Super Typhoon Maria in the East China Sea
by
Tzong-Yueh Chen, Nien En Thai, Chao-Chen Lai, Liang-Yu Chen, Fuh-Kwo Shiah and Gwo-Ching Gong
Biology 2026, 15(13), 1007; https://doi.org/10.3390/biology15131007 - 25 Jun 2026
Abstract
Typhoons are major physical disturbances in marginal seas, yet their event-scale impacts on microbial processes and carbon cycling remain poorly constrained. Here, we investigated the biogeochemical responses to Super Typhoon Maria (2018) in the East China Sea using combined field observations and satellite
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Typhoons are major physical disturbances in marginal seas, yet their event-scale impacts on microbial processes and carbon cycling remain poorly constrained. Here, we investigated the biogeochemical responses to Super Typhoon Maria (2018) in the East China Sea using combined field observations and satellite data. While surface temperature, nutrients, and chlorophyll-a (Chl-a) showed no significant changes, depth-integrated nutrients and Chl-a increased markedly, revealing a clear decoupling between surface and depth-integrated responses driven by vertical mixing and upwelling. Satellite observations further showed that phytoplankton enhancement was short-lived, with Chl-a returning to background levels within one week. This rapid attenuation likely reflects transient nutrient supply and strong grazing pressure. In contrast, microbial responses were characterized by increased bacterial specific growth rate without significant changes in biomass or production, indicating enhanced microbial turnover. Together, these results suggest that typhoon forcing promotes rapid and vertically structured carbon processing through the microbial loop without increasing biomass accumulation. This highlights the importance of temporal resolution and vertical structure in understanding ecosystem responses to episodic disturbances in marginal seas.
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(This article belongs to the Section Ecology)
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Phytonutrient-Enriched Prebiotic Mixture Primes the Gut Environment to Enhance Probiotic Efficacy: Ex Vivo Screening and a Human Clinical Trial
by
Hyo-Jin Lee, Dong Ho Suh, Sunyoung Lee, Wilhelm H. Holzapfel, Yosep Ji, Matthew K. Runyon, Hae Jo, Jung-Yoon Hur, Ri Ryu and Eun Sung Jung
Biology 2026, 15(13), 1006; https://doi.org/10.3390/biology15131006 - 25 Jun 2026
Abstract
Phytonutrient-enriched prebiotic mixtures (PEPs), composed of phytonutrients and prebiotics serving as substrates for gut microbes, are recognized for their potential to modulate gut microbial metabolic activity. However, direct evidence of enhanced effects following co-administration with probiotics remains limited. Using a three-phase design integrating
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Phytonutrient-enriched prebiotic mixtures (PEPs), composed of phytonutrients and prebiotics serving as substrates for gut microbes, are recognized for their potential to modulate gut microbial metabolic activity. However, direct evidence of enhanced effects following co-administration with probiotics remains limited. Using a three-phase design integrating ex vivo evaluation and clinical validation, we assessed how PEP components influence microbial responses and whether co-administration with probiotics enhances these effects. PEP components increased acetate, butyrate, total short-chain fatty acids (SCFAs), and lactate, with fiber-rich components showing the strongest effects (all q < 0.0001 relative to negative control). Co-treatment with probiotics further enhanced butyrate and total SCFAs in a dose-dependent manner. In a randomized clinical study, all groups showed increases in fecal metabolites, with the combined group exhibiting the greatest increases in butyrate (+6.0 µmol/g, ~1.5-fold, p < 0.05) and total SCFAs (+22.9 µmol/g, ~1.3-fold, p < 0.05). Participants with constipation-type stool patterns shifted toward normal stool types across all groups. These findings support the utility of combined PEP and probiotic interventions for enhancing microbiome-derived metabolic activity.
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(This article belongs to the Section Biotechnology)
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Evolutionary Expansion and Diversification of the GDSL Gene Family in Grasses
by
Qian Zhang, Xin Wen, Huan Li, Jingjing Zou, Jie Yang, Xuan Cai, Xusheng Gong, Yingting Zhang, Zeqing Li, Hongxi Chen, Li Shi, Yuanhang Wu, Lijun Gong, Haiyan Ma, Hongguo Chen and Xiangling Zeng
Biology 2026, 15(13), 1005; https://doi.org/10.3390/biology15131005 - 25 Jun 2026
Abstract
The glycine-aspartic acid-serine-leucine (GDSL) esterase/lipase family is a functionally diverse group of hydrolytic enzymes involved in multiple plant biological processes, including stress adaptation and development. However, its evolutionary patterns, functional conservation, and stress-responsive mechanisms in grasses remain not fully elucidated. In this study,
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The glycine-aspartic acid-serine-leucine (GDSL) esterase/lipase family is a functionally diverse group of hydrolytic enzymes involved in multiple plant biological processes, including stress adaptation and development. However, its evolutionary patterns, functional conservation, and stress-responsive mechanisms in grasses remain not fully elucidated. In this study, a comprehensive comparative genomic analysis was performed on the GDSL gene family across nine representative grass species and Arabidopsis thaliana. Genome-wide identification, phylogenetic analysis, duplication pattern detection, synteny analysis, cis-regulatory element prediction, protein–protein interaction (PPI) network construction, and RNA-seq-based expression profiling were employed. A total of 1707 GDSL genes were identified, with substantial expansion in grasses, especially hexaploid wheat. Whole-genome and segmental duplications were the major drivers of family expansion, with most duplicated genes under strong purifying selection. A grass-specific clade (C3-2) was identified, and extensive syntenic conservation was observed among closely related grasses. Promoter analysis revealed enrichment of stress- and hormone-responsive cis-elements, and RNA-seq showed dynamic GDSL expression under low-temperature stress in rice and wheat. These findings demonstrate that the expansion of the GDSL gene family in grasses is driven by polyploidization and lineage-specific duplication, accompanied by the emergence of a grass-specific clade (C3-2) and regulatory diversification, collectively shaping stress-responsive evolutionary innovation in Poaceae.
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(This article belongs to the Special Issue Advances in Plant Genomics and Genome Editing)
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Exploratory Machine Learning and Omics Integration in the Search for Biomarkers of Papillary Thyroid Cancer
by
Pedro Henrique Godoy Sanches, Nicolly Clemente de Melo, Danilo Cardoso de Oliveira and Lucas Miguel de Carvalho
Biology 2026, 15(13), 1004; https://doi.org/10.3390/biology15131004 - 25 Jun 2026
Abstract
Papillary thyroid carcinoma (PTC) is among the most common endocrine malignancies worldwide, and although generally associated with a favorable prognosis, a subset of patients develops aggressive disease with higher recurrence risk. This highlights the need for improved molecular characterization. Data integration approaches combined
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Papillary thyroid carcinoma (PTC) is among the most common endocrine malignancies worldwide, and although generally associated with a favorable prognosis, a subset of patients develops aggressive disease with higher recurrence risk. This highlights the need for improved molecular characterization. Data integration approaches combined with computational methods offer new opportunities to refine diagnosis and uncover disease mechanisms. This study aims to integrate omics data and apply machine learning (ML) to identify clinically relevant biomarkers in papillary thyroid carcinoma. We selected 11 genes from the differentially expressed genes (DEGs)–LASSO intersection approach. Genes were validated using an independent external dataset (AUC = 91%, Sens. = 92%, Spec. = 97%, and Acc. = 95%). DEGs were integrated with metabolomics data from the literature, enabling the construction of a metabolite–gene interaction network, highlighting norepinephrine, arachidonic acid, and glutamic acid as representative metabolites, while the main genes were SLC6A14, ADK, ATIC, NT5E, and AR. We identified potential drug–gene interactions and performed survival analysis to assess the relevance of the possible biomarkers. This novel pipeline combining integration and machine learning provides new insights into thyroid cancer biology and identifies promising diagnostic markers, supporting advances in precision medicine.
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(This article belongs to the Special Issue Machine Learning and AI Approaches for Genomic and Transcriptomic Insights in Health and Disease)
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