Genetics and Genomics of Infectious Diseases in Key Aquaculture Species

Biology, Год журнала: 2024, Номер 13(1), С. 29 - 29

Опубликована: Янв. 4, 2024

Diseases pose a significant and pressing concern for the sustainable development of aquaculture sector, particularly as their impact continues to grow due climatic shifts such rising water temperatures. While various approaches, ranging from biosecurity measures vaccines, have been devised combat infectious diseases, efficacy is disease species specific contingent upon multitude factors. The fields genetics genomics offer effective tools control prevent outbreaks in aquatic animal species. In this study, we present key findings our recent research, focusing on genetic resistance three diseases: White Spot Syndrome Virus (WSSV) white shrimp, Bacterial Necrotic Pancreatitis (BNP) striped catfish, skin fluke (a parasitic ailment) yellowtail kingfish. Our investigations reveal that all possess substantial heritable components disease-resistant traits, indicating potential responsiveness artificial selection improvement programs tailored these diseases. Also, observed high association between traits survival rates. Through selective breeding aimed at enhancing pathogens, achieved gains, averaging 10% per generation. These also contributed positively overall production performance productivity Although effects immunological or immune responses were not they yielded favorable results catfish. Furthermore, genomic analyses, including shallow genome sequencing pedigreed populations, enriched understanding architecture underlying traits. are primarily governed by polygenic nature, with numerous genes variants, each small effects. Leveraging range advanced statistical methods, mixed models machine deep learning, developed prediction demonstrated moderate-to-high levels accuracy forecasting disease-related addition genomics, RNA-seq experiments identified several undergo upregulation response infection viral loads within populations. Preliminary microbiome data, while offering limited predictive one studied species, underscore combining data sequence information enhance power Lastly, paper briefly discusses roles precision agriculture systems AI algorithms outlines path future research expedite lines target conclusion, study underscores critical role fortifying sector against threats posed paving way more resilient development.

Язык: Английский

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Focus on climate change and plant abiotic stress biology

The Plant Cell, Год журнала: 2022, Номер 35(1), С. 1 - 3

Опубликована: Ноя. 15, 2022

Язык: Английский

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Drought and heat stress induce differential physiological and agronomic trait responses in cotton

Industrial Crops and Products, Год журнала: 2024, Номер 222, С. 119540 - 119540

Опубликована: Сен. 4, 2024

Язык: Английский

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Application of predictive modeling tools for the identification of Ocimum spp. herbal products

Analytical and Bioanalytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Янв. 20, 2025

Язык: Английский

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Genomic prediction with NetGP based on gene network and multi‐omics data in plants

Plant Biotechnology Journal, Год журнала: 2025, Номер unknown

Опубликована: Фев. 14, 2025

Summary Genomic selection (GS) is a new breeding strategy. Generally, traditional methods are used for predicting traits based on the whole genome. However, prediction accuracy of these models remains limited because they cannot fully reflect intricate nonlinear interactions between genotypes and traits. Here, novel single nucleotide polymorphism (SNP) feature extraction technique Pearson‐Collinearity Selection (PCS) firstly presented improves across several known models. Furthermore, gene network model (NetGP) deep learning approach designed phenotypic prediction. It utilizes transcriptomic dataset (Trans), genomic multi‐omics (Trans + SNP). The NetGP demonstrated better performance compared to other in predictions, predictions predictions. performed than independent or Prediction evaluations using plants' data showed good generalizability NetGP. Taken together, our study not only offers effective tool plant but also points avenues future research.

Язык: Английский

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Plastic Responses of Iris pumila Functional and Mechanistic Leaf Traits to Experimental Warming

Plants, Год журнала: 2025, Номер 14(6), С. 960 - 960

Опубликована: Март 19, 2025

Phenotypic plasticity is an important adaptive strategy that enables plants to respond environmental changes, particularly temperature fluctuations associated with global warming. In this study, the phenotypic of Iris pumila leaf traits in response elevated (by 1 °C) was investigated under controlled experimental conditions. particular, we functional and mechanistic traits: specific area (SLA), dry matter content (LDMC), water (SLWC), stomatal density (SD), thickness (LT), chlorophyll content. The results revealed induced trait-specific plastic responses, exhibiting greater than traits, reflecting their role short-term acclimation. SLA SD increased at higher temperatures, promoting photosynthesis gas exchange, while reductions SLWC, LDMC, LT, suggest a trade-off favor growth metabolic activity over structural investment. Notably, exhibited highest plasticity, emphasizing its crucial modulating photosynthetic efficiency thermal stress. Correlation analyses strong integration between distinct trait relationships emerging different These findings I. employs both rapid physiological adjustments longer-term strategies cope stress, facilitating maintaining ecological stability.

Язык: Английский

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Changes in leaf economic trait relationships across a precipitation gradient are related to differential gene expression in a C₄ perennial grass

New Phytologist, Год журнала: 2025, Номер unknown

Опубликована: Март 28, 2025

Summary The leaf economics spectrum (LES) describes a suite of functional traits that consistently covary at large spatial and taxonomic scales. Despite its importance these larger scales, few studies have examined the major drivers intraspecific variation in LES – phenotypic plasticity standing genetic variation. Using experimental precipitation manipulations, we whether covariation among selection on trait combinations change as diverse genotypes widespread perennial grass Panicum virgatum are exposed to differences precipitation. We also used RNA‐Seq examine groups co‐expressed genes align with function processes hypothesized underlie LES. Water availability impacted important ways between (i.e. correlational selection) tended be strongest when water was high. Additionally, many associated functioned may explain how originates, such chloroplasts, cell walls, nitrogen metabolism. is likely an modulator evolution P. can better understood by examining gene expression.

Язык: Английский

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Targeting p53-p21 signaling to enhance mesenchymal stem cell regenerative potential

Regenerative Therapy, Год журнала: 2025, Номер 29, С. 352 - 363

Опубликована: Апрель 8, 2025

Язык: Английский

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Magnetized Saline Water Modulates Soil Salinization and Enhances Forage Productivity: Genotype-Specific Responses of Lotus corniculatus L.

Horticulturae, Год журнала: 2025, Номер 11(4), С. 428 - 428

Опубликована: Апрель 17, 2025

Irrigation water salinity poses escalating threats to agricultural sustainability in degraded agroecosystems. This study has investigated the effects of magnetized versus non-magnetized saline on soil physicochemical properties and forage productivity three Lotus corniculatus L. genotypes (salt-sensitive ecotype 232098, moderately salt-tolerant San Gabriel, Estanzuela Ganador) arid northern Mexico. A split-plot randomized block design with replicates assigned treatments (magnetized [MWT] vs. [NMWT]) main plots subplots. After one year irrigation, MWT significantly attenuated salinization, evidenced by 23% lower electrical conductivity (5.8 7.2 dS·m⁻1), a 26% reduced sodium adsorption ratio (6.2 8.4), 41% decreased concentration (20.7 35.4 meq·L⁻1) compared NMWT (p < 0.05). Although agronomic traits (stem dimensions, leaf area index, rhizome proliferation) exhibited salt sensitivity from third season onward, fresh biomass yield remained unaffected treatment. Genotypic differences dominated productivity. Ganador achieved superior both seasons (288.9 g/rhizome fall; 184.2 g winter), outperforming Gabriel 15.8% 232098 56.8% These findings demonstrate that irrigation effectively mitigates progression, while genotype selection critically determines under conditions. emerges as optimal cultivar for systems water-scarce regions.

Язык: Английский

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Phenotypic Plasticity and Stability in Plants: Genetic Mechanisms, Environmental Adaptation, Evolutionary Implications, and Future Directions

Plant Cell & Environment, Год журнала: 2025, Номер unknown

Опубликована: Апрель 18, 2025

ABSTRACT The phenotypic display, survival, and reproduction of organisms depend on genotype–environment interactions that drive development, evolution, diversity. Biological systems exhibit two basic but paradoxical features contribute to developmental robustness: plasticity stability. However, the understanding these concepts remains ambiguous. morphology structure plant reproductive organs—flowers fruits—exhibit substantial stability display a certain level under environmental changes, thus representing promising for study how jointly govern development evolution. Beyond genes underlying organ formation, may maintain induce plasticity. Variations in relevant can repatterning, thereby altering or light temperature fluctuations, which often affects fitness. regulation robustness vegetative organs involves transcriptional post‐transcriptional regulation, epigenetics, phase separation; however, mechanisms flowering plants remain poorly investigated. Moreover, specifically determine have rarely been cloned. This review clarifies attributes further proposes potential avenues paradigm investigate elucidate adapt thrive diverse environments, is crucial design genetically modified crops.

Язык: Английский

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