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PubMed2018

TAS2R38 Predisposition to Bitter Taste Associated with Differential Changes in Vegetable Intake in Response to a Community-Based Dietary Intervention.

Although vegetable consumption associates with decreased risk for a variety of diseases, few Americans meet dietary recommendations for vegetable intake. TAS2R38 encodes a taste receptor that confers bitter taste sensing from chemicals found in some vegetables. Common polymorphisms in TAS2R38 lead to coding substitutions that alter receptor function and result in the loss of bitter taste perception. Our study examined whether bitter taste perception TAS2R38 diplotypes associated with vegetable consumption in participants enrolled in either an enhanced or a minimal nutrition counseling intervention. DNA was isolated from the peripheral blood cells of study participants (N = 497) and analyzed for polymorphisms. Vegetable consumption was determined using the Block Fruit and Vegetable screener. We tested for differences in the frequency of vegetable consumption between intervention and genotype groups over time using mixed effects models. Baseline vegetable consumption frequency did not associate with bitter taste diplotypes (P = 0.937), however after six months of the intervention, we observed an interaction between bitter taste diplotypes and time (P = 0.046). Participants in the enhanced intervention increased their vegetable consumption frequency (P = 0.020) and within this intervention group, the bitter non-tasters and intermediate-bitter tasters had the largest increase in vegetable consumption. In contrast, in the minimal intervention group, the bitter tasting participants reported a decrease in vegetable consumption. Bitter-non tasters and intermediate-bitter tasters increased vegetable consumption in either intervention more than those who perceive bitterness. Future precision medicine applications could consider genetic variation in bitter taste perception genes when designing dietary interventions.

Adolescent↗

PubMed2026

Association between fruit and vegetable intake and risk of depression: A systematic review and meta-analysis of prospective cohort studies.

Depression is a leading cause of global disability, and identifying modifiable lifestyle factors is a public health priority. We conducted a systematic review and dose-response meta-analysis of prospective cohort studies examining the association between fruit and vegetable intake and incident depression. PubMed, Web of Science, Scopus, Embase, and Google Scholar were searched through November 2025. Data on study characteristics, dietary assessment, outcomes, effect estimates, and covariates were independently extracted by two reviewers. Random-effects models were used to calculate pooled relative risks (RRs), and linear and non-linear dose-response relationships were assessed. Heterogeneity was evaluated using I2, and evidence certainty was rated with GRADE. Thirteen cohorts with 385,449 participants and 26,592 depression cases were included. Highest versus lowest combined fruit and vegetable intake was associated with a 37% lower risk of depression (RR: 0.63; 95% CI: 0.50, 0.80). Each 200 g/day increase corresponded to a 16% risk reduction (RR: 0.84; 95% CI: 0.74-0.94). Separate analyses showed that fruit and vegetable intake reduced depression risk by 16% and 12%, respectively, with a non-linear dose-response for vegetables. These findings indicate that higher consumption of fruits and vegetables is associated with lower depression risk, supporting dietary strategies as a potential approach for mental health prevention. However, given the observational nature of the included studies, these results should be interpreted with caution, as residual confounding may partially account for the observed associations. Registration: This study was registered at PROSPERO (CRD420261279998).

Humans↗

PubMed2026

Bacillus thuringiensis pathogenicity islands encode regulatory circuits controlling insecticidal Cry toxin expression during vegetative growth.

Bacillus thuringiensis (Bt) produces insecticidal toxins, including Cry and Vip3 proteins, that are widely used for biological pest control. Cry proteins are classically expressed during sporulation under the control of sporulation-specific σ factors, whereas Vip3 is produced during vegetative growth, suggesting distinct regulatory pathways. Notably, many cry and vip3A genes are clustered within pathogenicity islands (PAIs), such as BtPAI-1. However, whether these PAIs also encode regulatory mechanisms coordinating toxin expression remains unclear. Here, we identify VipR, a BtPAI-1-encoded transcriptional regulator, as an activator of insecticidal gene expression during the vegetative phase in Bt strains HD-1 and CT-43. In these strains, VipR promotes the transcription of BtPAI-1 associated insecticidal genes, including vip3A and selected cry genes, resulting in premature Cry protein accumulation and increased insecticidal activity. In addition, VipR contributes to the vegetative-phase expression of the non-BtPAI-1 cry9Aa genes in strain BGSC 4AE1. Phylogenetic analysis revealed that vipR is widely distributed in one-third of Bt strains, and is strongly associated with PAIs. Futhermore, heterologous expression of vipR in BGSC 4J5 and HD-73 was sufficient to activate vegetative-phase transcription of some cry independently of sporulation-specific σ factor cascade. These results support a role for VipR in coordinating vegetative-phase expression of insecticidal genes in the Bt strains examined and suggest that BtPAI-1 can encode both insecticidal determinants and regulatory functions that influence their expression. These findings provide new insights into the regulatory architecture of Bt pathogenicity islands and may facilitate the engineering of strains with enhanced insecticidal activity.

Bacillus thuringiensis↗

PubMed2026

The SPL-family transcription factor MpSPL3 orchestrates the proper regulation of vegetative and reproductive programs in Marchantia polymorpha.

SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) genes encode plant-specific transcription factors that are widely distributed across the plant kingdom. In angiosperms, the multimember SPL family regulates various biological processes, including vegetative-to-reproductive phase transition, inflorescence architecture, and lateral organ development. In contrast, the liverwort Marchantia polymorpha genome encodes only four SPL genes, with functional studies available only for microRNA-targeted members, MpSPL1 and MpSPL2. MpSPL1 was shown to control the meristem dormancy to modulate the thallus architecture, whereas MpSPL2 was found to promote the transition from vegetative-to-reproductive phase. Here, we investigate the impact of the MpSPL3 gene on M. polymorpha development. We demonstrate that MpSPL3 influences coordination of the vegetative growth and the reproductive phase transition. Knockout of MpSPL3 leads to strong growth retardation with disordered thallus morphology, reduced gemma cup number, and, most strikingly, complete loss of gametangiophore formation. Interestingly, overexpression of MpSPL3.2, the shorter isoform, has no detectable morphological effect, whereas the overexpression of MpSPL3.1, the longer isoform encoding a protein with an additional 61-aa long fragment, results in a delay in timing and reduced efficiency of gametangiophore production. Moreover, all the observed developmental abnormalities might be a consequence of the altered expression of genes essential for proper vegetative development and responsible for germ cell specification in MpSPL3 knockout and overexpression plants. Altogether, our findings demonstrate that MpSPL3 is important in regulating gametophyte development and ensuring reproductive success in M. polymorpha.

Marchantia↗

PubMed2026

Littoral and wetland vegetation decrease carbon emissions from dry inland waters.

Lakes are recognized as active components of the inland water carbon (C) cycle, as organic matter is processed by microbial respiration, inducing large carbon dioxide (CO2) and methane (CH4) emissions. In the context of long-lasting drought periods, large uncertainties remain about: (1) the influence of wet-dry cycle on CO2 and CH4 fluxes in littoral zones and lacustrine wetlands; and (2) the contribution of emergent vegetation to C fluxes in dry inland waters. At the water-land interface of two shallow lakes, this study focuses on CO2 and CH4 fluxes from vegetated and bare dry inland waters in relation to hydrological fluctuations. Three seasonal campaigns were conducted to measure daytime CO2 and CH4 fluxes in pelagic, littoral and wetland surface waters, as well as in temporarily air-exposed sediments, using floating and static chambers, respectively. Our results reveal that wet-dry cycle in the littoral zone and wetlands strongly influence gaseous C fluxes through contrasting patterns, especially in late summer, when the biological processes are most active (primary production and respiration). In air-exposed littoral zones, organic-poor sandy sediments presented the lowest CO2 and CH4 emissions, whereas in air-exposed lacustrine wetlands, water-saturated sediments accumulated high amounts of plant-derived organic matter, promoting intense microbial activity and the highest C emissions. However, amphiphytes and helophytes vegetation in exposed littoral zones and wetlands reversed the direction of C fluxes, inducing the highest CO2 uptake due to high photosynthesis rates. This study underlines the relevance of considering vegetation in dry inland waters, particularly in lacustrine littoral zones and wetlands, to obtain comprehensive lake C budgets, especially under climate change scenarios.

Wetlands↗

PubMed2025

Molecular mechanisms and breeding strategies for heat tolerance in vegetable crops under global warming.

Extreme heat driven by climate change poses a catastrophic threat to global vegetable production, undermining nutritional security because of the heightened physiological sensitivity and succulent tissues of these crops. This review synthesizes the multistage impacts of heat stress across critical developmental phases-from germination to reproduction-emphasizing morphological impairments (such as leaf wilting and floral abortion) and physiological disruptions (including photosynthetic inhibition and oxidative damage). We systematically dissect thermotolerance mechanisms in vegetables, highlighting transcriptional reprogramming by HSFs, WRKY, and NAC transcription factors; chaperone-mediated proteostasis via HSPs; epigenetic remodeling; Ca2+-ROS signaling pathways; and the role of phase separation dynamics. Importantly, we propose six strategic pathways to develop heat-resilient vegetables: harnessing natural variation through pan-genome-driven allele mining; employing biotechnological interventions such as CRISPR-mediated editing and synthetic promoters; engineering multistress tolerance by targeting conserved 'core response' pathways; exploiting epigenetic memory to achieve transgenerational resilience; optimizing source-sink dynamics with ''Climate-Responsive Carbon Optimization; and applying plant growth regulators and nanotechnology to enhance thermotolerance. Together, these strategies chart a clear roadmap for climate-smart vegetable breeding and call for interdisciplinary collaboration to translate molecular discoveries into practical breeding approaches for sustainable food systems under escalating thermal extremes.

Journal Article↗

PubMed2026

Integrating genomics, multi-omics, CRISPR and speed breeding for stress-resilient vegetable legume improvement.

Vegetable legumes are nutritionally and ecologically important crops. However, their genetic improvement has not kept pace with the increasing challenges posed by climate change due to the polygenic nature of stress tolerance, narrow genetic diversity, and the persistent gap between molecular discoveries and field-level cultivar development. Although recent reviews have examined individual genomic tools or specific stress responses, a comprehensive synthesis integrating genomics-assisted breeding, multi-omics technologies, genome editing, and speed breeding within a unified crop improvement framework has been lacking. This review addresses that gap by critically evaluating how these complementary approaches can accelerate the development of stress-resilient vegetable legumes, including pea, common bean, cowpea, faba bean, cluster bean, yard-long bean, and hyacinth bean. This review synthesizes advances in QTL mapping, genome-wide association studies, transcriptomics, metabolomics, and CRISPR-based functional genomics that have identified key regulators and pathways underlying resistance to major biotic and abiotic stresses. Rather than considering these technologies independently, the review emphasizes their convergence into a systems-level breeding framework integrating genomic discovery, functional validation, predictive breeding, and accelerated generation advancement to improve breeding efficiency. Speed breeding, enabling up to seven to eight generations annually under optimized controlled-environment experimental conditions in cowpea, is discussed as a complementary strategy with genomic selection and genome editing. The review further identifies major translational bottlenecks, including transformation recalcitrance, limited genomic resources for underutilized vegetable legumes, inadequate multi-environment validation, and fragmented omics integration, and presents an integrated systems-breeding framework to bridge the gap between gene discovery and cultivar development.

Fabaceae↗

PubMed2026

Feedstock-specific effects of sulfur-rich vegetable fractions on food waste anaerobic digestion: Sulfide-associated redox perturbation and adaptive microbial reassembly.

Food waste (FW) anaerobic digestion (AD) is strongly affected by feedstock heterogeneity, yet the role of sulfur-rich vegetable fractions remains poorly defined. Here, garlic (GAR), Chinese cabbage (CHC), and cabbage (CAB) were used as representative sulfur-rich vegetables to assess their effects on methane production, redox status, and microbial function during FW AD. At equal volatile solids loading, GAR showed no significant effect, whereas CHC and CAB caused a biphasic response, with delayed methane accumulation and reduced cumulative yield followed by late-stage daily methane production 39.6% and 45.9% higher than the control, respectively. CHC and CAB promoted sulfide accumulation and elevated reactive oxygen species (ROS) during the early stage. Elevated ROS levels were associated with lower NADH/NAD+ ratios, reduced electron transport activity, and volatile fatty acid accumulation, collectively indicating a redox-perturbed state characterized by functional decoupling between acidogenesis and methanogenesis. Metagenomic analysis showed that this early disturbance was followed by functional reassembly of the community. Hydrolytic-acidogenic bacteria sustained fermentation, accompanied by enrichment of genes associated with PFOR-Rnf-mediated energy conservation and the ED and oxidative PPP pathways, while methanogenesis shifted toward acetoclastic and methylotrophic routes. Genome-resolved analysis attributed the genomic potential for PFOR-Rnf-mediated energy conservation to Aminobacterium and Defluviitoga MAGs, and showed that Methanosarcina possessed the broadest oxidative stress defense repertoire, supporting its dominance after ROS perturbation. These findings provide a mechanistic framework linking sulfur-rich feedstock heterogeneity to methane-production dynamics, involving sulfide-associated redox perturbation and subsequent microbial functional reassembly.

Energy conservation↗

PubMed2026

Upcycling Vegetable Waste Into Functional Food Ingredients via Synergistic Microbial Engineering and Artificial Intelligence.

The escalating generation of global vegetable waste represents a critical loss of bioactive resources, necessitating a paradigm shift from passive disposal to active nutrient upcycling. However, the industrial conversion of this heterogeneous biomass into standardized functional food ingredients is currently impeded by significant techno-economic barriers, primarily structural recalcitrance, compositional inconsistency, and the presence of toxic fermentation inhibitors. This review provides a comprehensive analysis of the synergistic application of microbial engineering and artificial intelligence (AI) to resolve these bioprocessing bottlenecks within a food-to-food closed-loop framework (as shown in the graphical abstract). We evaluate recent advances in engineering food-grade microbial chassis (e.g., Saccharomyces cerevisiae and Escherichia coli) to enhance lignocellulose degradation and stress tolerance. Concurrently, we examine the integration of AI across the entire value chain, covering deep learning-based rational enzyme design, genome-scale metabolic modeling, and intelligent process control for precision fermentation. Current evidence demonstrates that the hardware-software coupling of engineered strains and AI algorithms significantly enhances conversion efficiency and process robustness. Key findings highlight that AI-driven Design-Build-Test-Learn cycles facilitate the de novo creation of enzymes with superior kinetics and strains with adaptive stress response capabilities against toxins. Moreover, dynamic digital twin models effectively mitigate the impact of substrate variability, ensuring the batch-to-batch consistency required for food applications. We conclude that this data-driven synergistic paradigm is pivotal for establishing a resilient circular bioeconomy, enabling the reliable bioconversion of waste into high-value single-cell proteins, natural flavor additives, and sustainable packaging materials.

Artificial Intelligence↗

PubMed2026

Dual signal-enhanced immunochromatographic test strip based on Au@PtNPs: From sensitive detection of thiamethoxam to multiplex pesticide screening in vegetables.

Immunochromatographic test strip (ICTS) is a rapid analytical technique widely used in environmental and food detection owing to its merits of simple operation and short analysis time. Herein, three-dimensional nanoflower-structured gold‑platinum nanoparticles (Au@PtNPs) were synthesized via a seed-growth method. Compared with conventional gold nanoparticles (AuNPs), Au@PtNPs exhibited stronger signal intensity, excellent catalytic performance, and efficient antibody binding efficiency. Colorimetric Au@PtNPs-ICTS and catalytic colorimetric Au@PtNPs-ICTS were developed for the sensitive detection of thiamethoxam (THI) in vegetables. The limits of detection (LODs) for colorimetric Au@PtNPs-ICTS and catalytic colorimetric Au@PtNPs-ICTS quantitative analysis were 0.18 ng/mL and 0.093 ng/mL, respectively, representing approximately 3-fold and 6-fold improvement compared to AuNPs-ICTS (0.56 ng/mL). Furthermore, highly sensitive detection of multiple pesticide residues (chlorpyrifos, acetamiprid, and imidacloprid) was achieved by replacing the corresponding target antigens and antibodies, which further verified the universality of this immunochromatographic strategy.

Thiamethoxam↗

PubMed2026

The DELAYED ABAXIAL TRICHOMES Helitron has dual functions in vegetative and pollen development in Arabidopsis thaliana.

Transposons drive genetic diversity and evolution by altering the genomic landscape over time. Here, we describe DELAYED ABAXIAL TRICHOMES (DAB), a Helitron/RC transposable element in Arabidopsis thaliana that has a role in vegetative phase change and gametogenesis. A genome-wide association study (GWAS) for the timing of abaxial trichome development (an adult leaf trait) in A. thaliana revealed a conserved haplotype of polymorphisms within DAB that delays abaxial trichome production. CRISPR-Cas9-induced deletions of DAB are gametophytic pollen-lethal, indicating that this locus is also required for pollen production. DAB produces 24-nucleotide siRNAs with sequence complementarity to genes involved in embryogenesis, gametogenesis, and seed development. DAB also impacts the expression of ARGONAUTE genes, genes involved in RNA-directed DNA methylation (RdDM), as well as genes in several key genetic pathways. This global effect on gene expression suggests that DAB may have functions beyond those identified in this study.

Arabidopsis↗

PubMed2024

Distinct types of selection and genetic architecture shape molecular variation during the domestication of vegetable crops.

Humans select vegetable crops with desirable traits via a complex evolutionary process called domestication, generating a variety of cultivars worldwide. With advances in sequencing technologies, genomic scans for "signatures of selection" are widely used to identify target loci of selection. In the early phases of domestication, humans tended to favor similar sets of phenotypes in diverse crops, resulting in "domestication syndrome" and parallel evolution in multiple species. Subsequently, adaptation to distinct environments or different consumer preferences has diversified crop cultivars. Here, we review molecular and population genetic studies on genes affecting trait evolution during this complex process. We emphasize that, depending on interactions among different types of selection (directional selection within or divergent selection between groups), the genetic architecture of the target trait (Mendelian or polygenic), and the origin of the causal variant (new mutation or standing variation), the resulting molecular patterns of variation can be highly diverse. Situations in which the typical hard selective sweep model could be applied may be limited. Therefore, it is crucial to obtain a thorough understanding of the target species' historical, environmental, and ecological contexts.

Domestication↗

PubMed2026

DNA-binding activity of PIF7 links phytochrome B signaling to plant responses to vegetation proximity.

PHYTOCHROME INTERACTING FACTORs (PIFs) are transcription factors that act as central signaling hubs in light-regulated processes. All PIFs contain an active phytochrome B-binding motif and a DNA-binding basic helix-loop-helix domain. In the shade-avoider Arabidopsis thaliana, PIF7 is a major promoter of hypocotyl elongation in response to vegetation proximity, becoming active when released from phytochrome B via its active phytochrome B-binding motif. Here we show that PIF7 promotes seedling elongation in other species, including the shade-avoider tomato and the shade-tolerant Cardamine hirsuta, suggesting that PIF7 has retained some of its key functional domains across diverse plants. Through complementation analyses using PIF7 variants lacking either the active phytochrome B-binding or basic helix-loop-helix domain, we demonstrate that, unlike PIF3, PIF7 versions unable to bind phytochrome B remain active regardless of light conditions, whereas loss of DNA-binding capacity fully disrupts PIF7 function. Our results further suggest that phytochrome B interaction imposes a dual regulatory control over PIF7, modulating both its abundance and its phosphorylation state (ie its ability to bind and regulate target genes).

Phytochrome B↗

PubMed2026

The agroenvironmental-clinical link of Proteus mirabilis: Genomic epidemiology, clonal relationships, and shared resistance and virulence profiles.

Proteus mirabilis is an opportunistic pathogen frequently associated with urinary tract infections (UTIs), with its pathogenicity driven by coordinated virulence traits such as adhesion, biofilm formation, and toxin production. The systemic emergence of antimicrobial resistance (AMR) within this species raises critical concerns regarding its persistence across clinical and environmental niches. This study investigated the virulence profiles, AMR determinants, and molecular epidemiology of P. mirabilis isolates recovered from retail vegetables and human community-acquired UTIs (CA-UTIs) in southern Brazil. A total of 310 isolates were analyzed (110 from vegetables and 200 from UTIs). Multidrug resistance was observed in 36.6-42.0% of vegetable isolates and 16.0% of UTI isolates, while extended-spectrum β-lactamase (ESBL) production reached 32.0% in the vegetable group. Notably, the carbapenemase gene blaKPC-2 was identified in vegetable isolates, representing a critical food safety concern. High-consequence resistance genes, including blaCTX-M variants, fosA3, and qnrD, were widely distributed. Furthermore, all isolates harbored multi-element virulence profiles-particularly genes encoding fimbriae, proteases, and iron acquisition systems-and exhibited strong or very strong biofilm-forming phenotypes. Clonal analysis revealed tight genetic relatedness between vegetable and clinical isolates, including indistinguishable profiles. Whole-genome sequencing identified shared sequence types (STs), most notably the high-risk clone ST773, alongside internationally reported lineages such as ST135 and ST336. Moreover, conserved mobile genetic environments flanking blaKPC-2 were structurally characterized. These findings demonstrate that food-associated P. mirabilis serves as an active agroenvironmental reservoir for virulent and multidrug-resistant lineages, posing an unmonitored risk for zoonotic dissemination and human infection within the One Health framework.

bla KPC−2↗

PubMed2025

Diet Changes and Colorectal Cancer Risk in the UK Biobank.

BACKGROUND: Modifying dietary behaviors into healthier habits may attenuate the risk of colorectal cancer. This study aimed to investigate the association between dietary changes and the risk of colorectal cancer. METHODS: Following dietary recommendations for red and processed meat, fruit and vegetables, and alcohol consumption, we classified 50,640 participants into poor and good adherence groups in the UK Biobank. Changes in dietary habits were defined as stable poor, poor to good, good to poor, and stable to good adherences. A Cox proportional hazard model was used to examine the association between dietary changes and colorectal cancer risk. RESULTS: Women were more likely to follow dietary recommendations than men. After a median of 3.3 years from the latest follow-up, 8,328 (16.4%) participants followed an improved dietary habit and 5,808 (11.5%) participants had a worsened diet. Compared with men who stably consumed fruit and vegetables <5 servings/day, those who increased their consumption to ≥5 servings/day were related to colorectal cancer risk reduction [HR: 0.24 (0.09-0.63)]. However, the beneficial associations of increased fruit and vegetable consumption were not statistically significant in women [HR: 0.41 (0.11-1.56)]. CONCLUSIONS: Our findings support the evidence that increasing fruit and vegetable intake could serve as a beneficial strategy to mitigate colorectal cancer risk in men. IMPACT: Participants from the UK Biobank significantly changed their adherence to dietary recommendations during the follow-up. Increasing fruit and vegetable consumption was inversely associated with colorectal cancer risk among men.

Humans↗

PubMed2026

Genome-Wide Association Analyses of Bitter Food Preferences Link Genetic Loci to Sensory and Metabolic Pathways.

BACKGROUND: Genetic variation is implicated in individual preferences for bitter-tasting foods. However, previous studies have focused on candidate genes and limited varieties of bitter-tasting foods and have treated food preference scale responses as continuous data. OBJECTIVES: The present investigation aimed to identify genetic variants associated with preferences for bitter-tasting foods using ordinal multinomial regression models in genome-wide association studies (GWAS). In addition, post-GWAS functional annotation and mapping, genetic correlations, and associations with dietary intake were examined. METHODS: Food preference and genome-wide genotyping data were used from the UK Biobank (n = 125,578). Preference data from Likert scale rankings (from 1 to 9) for 12 individual foods were analyzed using ordinal multinomial regression GWAS. In addition, 1 composite continuous variable was created for preference for cruciferous vegetables as a group and analyzed using a linear mixed-model GWAS to enable the calculation of a polygenic score (PGS) for cruciferous vegetable preference. Convergent validity of GWAS results was assessed with dietary intake data for the same food items in the CARTaGENE cohort (n = 8176). Post-GWAS gene-level and pathway-level association analyses were conducted in MAGMA (Multimarker Analysis of GenoMic Annotation). RESULTS: Forty-six single-nucleotide polymorphisms (SNPs) were identified for preferences for 11 bitter-tasting foods at a genome-wide significance level (P < 7.14 × 10-9). Gene-set analysis for enrichment identified pathways related to caffeine metabolism and bitter taste perception for preference of coffee without sugar and grapefruit, respectively. Genes with higher expression in brain tissues showed stronger genetic associations with cruciferous vegetable preference. The PGS for cruciferous vegetable preference was weakly correlated with intake (r = 0.05, P < 0.0001), but individual SNPs were not associated with intake in a consistent manner. CONCLUSIONS: Genetic variation contributes to preferences for bitter-tasting foods among adults, and some links with food intake are detectable. Nevertheless, effect sizes are small and inconsistent, reflecting the multifactorial complexity of food intake.

bitter taste↗

PubMed2026

Complementary feeding patterns in preterm and term infants.

Complementary feeding is essential for infants' nutritional status and development, marking the transition to solid foods when breast milk or formula alone is insufficient. Despite its importance, clear recommendations on which foods to introduce when initiating complementary feeding in preterm infants are lacking. By using data from our previously published randomized controlled trial on the timing of complementary feeding in preterm infants, the current study explores the complementary feeding patterns of preterm infants and compares them with those of term-born infants, providing insights into parental decision-making and potential long-term health impacts. Complementary feeding practices differed significantly between preterm (n = 255) and term (n = 159) infants, with preterm infants more often receiving vegetables as their first solid food (85.4% versus 68.8%, difference 17.6% with 95% CI 12-35%). The group with early introduction of vegetables had a lower BMI-for-age z-scores (β -0.28 [95% CI -0.55 - 0.02]) and weight-for-height z-scores (β -0.27 [95% CI -0.53 to -0.01]) at two years of age. Additionally, preterm infants showed a greater variety in the numbers of different fruits and vegetables consumed by six months (corrected) age than term-born counterparts (8.29 (SD 3.65) versus 6.26 (SD 3.47), p < 0.001). These results indicate that complementary feeding patterns in preterm infants differ from term-born infants, with potential positive implications on growth. These data contribute to the development of accurate feeding protocols for preterm infants. Given that feeding practices are culturally influenced, further multinational research is essential to refine complementary feeding guidelines for preterm infants and support caregivers in informed decision-making.

Humans↗

PubMed2026

Scion-based drought stress memory affects potato response to water deficit.

A scion-based stress memory signal, which was derived from drought-primed potato plants, was transmitted to new potato plants generated through vegetative reproduction. This affected potato tuber yield. Drought is one of the most significant threats to agricultural productivity worldwide. The cultivated potato (Solanum tuberosum L.) is a crop species that is sensitive to drought stress. This study investigated the impact of scion-based drought stress memory on tuber yield, physiological parameters, gene expression, and DNA methylation in the vegetative progeny of grafted plants. The tuber progeny plants remembered the drought stress signal transmitted from the drought-primed scion. Significant changes were observed in the expression of genes, primarily those related to photosynthetic metabolic pathways, as well as those associated with chromatin remodeling, DNA repair, and the plant's response to abiotic stresses. The gene expression landscape corresponded with variability in chlorophyll fluorescence parameters. In the first and the second generation of vegetatively propagated plants, scion-based memory had a positive effect on tuber yield. This was achieved by buffering the decline in yield caused by drought, as compared to plants grown under control conditions. Whole-genome bisulfite sequencing analysis revealed no correlation between changes in DNA methylation and gene expression. Drought-induced alterations in DNA methylation were erased in the second progeny generation. We propose that there is a direct causal relationship between scion-based memory of drought stress and photosynthetic efficiency, as well as potato tuber productivity.

Solanum tuberosum↗