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PurposeIn recent years, the relationship between malignant tumors and atrial fibrillation has attracted more and more attention. Atrial fibrillation can also cause a series of adverse events, such as the risk of thromboembolism. Also, Warfarin is often used here. But, the relationship between cutaneous melanoma and atrial fibrillation, and between cutaneous melanoma and warfarin is still unclear. Therefore, we used a two-sample Mendelian randomization to assess the causal relationship between atrial fibrillation/warfarin and cutaneous melanoma (cM).MethodsFirstly, atrial fibrillation (ukb-b-11550; nCase = 3,518, nControl = 459,415) and warfarin (ukb-b-13248; nCase = 4,623, nControl = 458,310) as exposures, with genome-wide association studies (GWAS) data from the United Kingdom Biobank. And cM (ieu-b-4969; nCase = 3,751, nControl = 372,016) as outcome, with GWAS data from the IEU Open GWAS project. Subsequently, single-nucleotide polymorphisms (SNPs) were filtered from GWAS studies using quality control measures. In addition, two-sample Mendelian randomization (MR) analysis was performed to explore the causal relationship between atrial fibrillation or warfarin and cM and used inverse variance weighting (IVW) as the primary analytical method. Finally, relevant heterogeneity and sensitivity analysis were performed to ensure the accuracy of the results.ResultsA causal relationship between atrial fibrillation and cutaneous melanoma was observed, and between warfarin and cutaneous melanoma.ConclusionThe atrial fibrillation may play a causal role in the development of cutaneous melanoma, but the mechanism and the causal relationship between warfarin and cutaneous melanoma needs to be further elucidated.

In the context of rapidly increasing population and diversified market demands, the steady improvement of yield and quality in horticultural crops has become an urgent challenge that modern breeding efforts must tackle. Heterosis, a pivotal theoretical foundation for plant breeding, facilitates the creation of superior hybrids through crossbreeding and selection among a variety of parents. However, the vast number of potential hybrids presents a significant challenge for breeders in efficiently predicting and selecting the most promising candidates. The development and refinement of effective hybrid prediction methods have long been central to research in this field. This article systematically reviews the advancements in hybrid prediction for horticultural crops, including the roles of marker-assisted breeding and genomic prediction in phenotypic forecasting. It also underscores the limitations of some predictors, like genetic distance, which do not consistently offer reliable hybrid predictions. Looking ahead, it explores the integration of phenomics with genomic prediction technologies as a means to elevate prediction accuracy within actual breeding programs. [ABSTRACT FROM AUTHOR]

The effect of ozone treatment on the degradation of two Alternaria mycotoxins, alternariol (AOH) and alternariol monomethyl ether (AME), in both aqueous solution and orange juice was investigated. In addition, the quality of orange juice after ozone treatment was evaluated. The results demonstrated that ozone treatment effectively eliminated AOH and AME. In an aqueous solution, AOH exhibited a reduction of 57.95%, while AME decreased by 40.24% after 5 s treatment. And the two toxins could be almost completely degraded within 40 s. Moreover, an alkaline condition with a pH value of 10 facilitated complete degradation within just 15 s of treatment. Furthermore, higher temperatures may enhance the degradation percentage. Regarding orange juice, the degradation percentages of AOH and AME after ozone treatment for 600 s were recorded as 51.86% and 49.04%, respectively, which were comparatively lower than those observed in aqueous solution. The toxin degradation increased with longer treatment times and higher flow rates, but decreased with the initial concentration of mycotoxins. Meanwhile, the results of the quality evaluation showed that the color and browning index (BI) of orange juice did not change significantly, while the pH value was reduced. Additionally, the clarification, antioxidant properties, and stability of orange juice were significantly improved after ozone treatment. In conclusion, ozone treatment is an effective approach for degrading Alternaria mycotoxins while also improving certain quality parameters within a given treatment time frame. Therefore, it can be considered a promising non‐thermal alternative technology for removing Alternaria mycotoxins from food systems. Practical applications: The Alternaria fungus has the capacity to infect a wide range of crops, with infections occurring during various stages such as planting, transportation, and processing. Ozone technology has been extensively utilized in drinking water treatment, wheat flour treatment, wastewater treatment, aquaculture, and medical industries. However, current methods for controlling mycotoxins fail to meet industry demands for high removal rates, environmental friendliness, efficiency, and convenience as well as low‐cost maintenance required to preserve the sensory quality and nutritional value of food products. Therefore, there is an urgent need to explore novel approaches that can effectively address these challenges in practical production settings. Furthermore, the parameter optimization of specific technologies within the food sector remains underdeveloped and requires further research. In this context, ozone technology holds promise for controlling Alternaria mycotoxins degradation in orange juice while offering valuable insights into toxin degradation within the beverage industry. [ABSTRACT FROM AUTHOR]

Cucumber is one of the most important vegetables, and nitrogen is essential for the growth and fruit production of cucumbers. It is crucial to develop cultivars with nitrogen limitation tolerance or high nitrogen efficiency for green and efficient development in cucumber industry. To reveal the genetic basis of cucumber response to nitrogen starvation, a genome-wide association study (GWAS) was conducted on a collection of a genetically diverse population of cucumber (Cucumis sativus L.) comprising 88 inbred and DH accessions including the North China type, the Eurasian type, the Japanese and South China type mixed subtype, and the South China type subtype. Phenotypic evaluation of six traits under control (14 mM) and treatment (3.5 mM) N conditions depicted the presence of broad natural variation in the studied population. The GWAS results showed that there were significant differences in the population for nitrogen limitation treatment. Nine significant loci were identified corresponding to six LD blocks, three of which overlapped. Sixteen genes were selected by GO annotation associated with nitrogen. Five low-nitrogen stress tolerance genes were finally identified by gene haplotype analysis: CsaV3_3G003630 (CsNRPD1), CsaV3_3G002970 (CsNRT1.1), CsaV3_4G030260 (CsSnRK2.5), CsaV3_4G026940, and CsaV3_3G011820 (CsNPF5.2). Taken together, the experimental data and identification of candidate genes presented in this study offer valuable insights and serve as a useful reference for the genetic enhancement of nitrogen limitation tolerance in cucumbers. [ABSTRACT FROM AUTHOR]

Alternariol (AOH) and alternariol monomethyl ether (AME) are two Alternaria mycotoxins with high occurrence rates in food systems. This study aimed to investigate the photodegradation of AOH and AME by ultraviolet-C (UV-C) irradiation. The effect of UV-C intensity, pH, treatment time, solvents and the exposure of food components were evaluated. After treated by UV-C irradiation at 3500 μW/cm2 for 90 min, AOH samples in methanol, aqueous solution and solid state were degraded by 89.1%, 72.9% and 53.2%, respectively, while the degradation percentages of AME were 86.6%, 50.1% and 11.1%, respectively. Increasing irradiation intensity and prolonging irradiation time could significantly facilitate the degradation of AOH and AME. An alkaline environment (pH = 11) was more conducive to the degradation of toxins. In addition, 2.5 mg mL−1 citric acid or malic acid increased the photodegradation of AOH and AME to 94.6% and 95.3%, 93.2% and 70.5%, respectively. However, protein, polyphenols and vitamin C exerted inhibitory effects on the degradation, while 10% glucose or sucrose reduced the photodegradation of AOH and AME to 65.9% and 40.3%. UV-C treatment could effectively reduce the content of AOH and AME, with the highest efficiency achieved in methanol and alkaline environment. By contrast, UV-C irradiation is more effective in degrading toxins in some liquid foods rich in organic acids but lacking in protein. The utilization of UV-C radiation appears to be a potentially useful approach for decreasing the underlying risk of Alternaria mycotoxin contamination in foods. [ABSTRACT FROM AUTHOR]

Genomic prediction is an effective way for predicting complex traits, and it is becoming more essential in horticultural crop breeding. In this study, we applied genomic prediction in the breeding of cucumber plants. Eighty-one cucumber inbred lines were genotyped and 16,662 markers were identified to represent the genetic background of cucumber. Two populations, namely, diallel cross population and North Carolina II population, having 268 combinations in total were constructed from 81 inbred lines. Twelve cucumber commercial traits of these two populations in autumn 2018, spring 2019, and spring 2020 were collected for model training. General combining ability (GCA) models under five-fold cross-validation and cross-population validation were applied to model validation. Finally, the GCA performance of 81 inbred lines was estimated. Our results showed that the predictive ability for 12 traits ranged from 0.38 to 0.95 under the cross-validation strategy and ranged from −0.38 to 0.88 under the cross-population strategy. Besides, GCA models containing non-additive effects had significantly better performance than the pure additive GCA model for most of the investigated traits. Furthermore, there were a relatively higher proportion of additive-by-additive genetic variance components estimated by the full GCA model, especially for lower heritability traits, but the proportion of dominant genetic variance components was relatively small and stable. Our findings concluded that a genomic prediction protocol based on the GCA model theoretical framework can be applied to cucumber breeding, and it can also provide a reference for the single-cross breeding system of other crops. [ABSTRACT FROM AUTHOR]

BACKGROUND Alternariol (AOH) and alternariol monomethyl ether (AME), produced by Alternaria spp., are the two mycotoxins with the highest outbreak rates in food systems. The purpose of this study was to investigate the removal of AOH and AME from aqueous solutions by inactivated yeast cells. The effects of strains, yeast powder amount, temperature, and pH were evaluated. The kinetics of AOH and AME adsorption on inactivated yeast cells was fitted with four models and a release assay was carried out. RESULTS: All three tested yeasts could remove AOH and AME. GIM 2.119 was the most effective strain. The reduction rate of both AOH and AME could be as much as 100% with 40 g‧L−1 of yeast powder. For both mycotoxins, pH = 9 was the best environment for toxin removal. The pseudo‐second‐order kinetic model was the best model, with R2 ranging from 0.989 to 0.999. However, the R2 of the pseudo‐first‐order and Elovich models was also relatively high. Alternariol and AME could be partially eluted by methanol and acetonitrile. CONCLUSION: The inactivated yeast cells could effectively remove AOH and AME. This was best fitted by the pseudo‐second‐order model. The release assay suggested that the adsorption of Alternaria mycotoxins was partially reversible. The results of this study provide a theoretical basis for the removal of Alternaria mycotoxins from food systems and are useful for the investigation of the mechanisms involved in mycotoxin adsorption by inactivated yeast cells. © 2020 Society of Chemical Industry [ABSTRACT FROM AUTHOR]

Key message : The cucumber male sterility gene ms - 3 was fine mapped in a 76 kb region harboring an MMD1 -like gene Csa3M006660 that may be responsible for the male sterile in cucumber. Abstract: A cucumber ( Cucumis sativus L.) male sterile mutant ( ms- 3) in an advanced-generation inbred line was identified, and genetic analysis revealed that the male sterility trait was controlled by a recessive nuclear gene, ms- 3, which was stably inherited. Histological studies suggested that the main cause of the male sterility was defective microsporogenesis, resulting in no tetrad or microspores being formed. Bulked segregant analysis (BSA) and genotyping of an F population of 2553 individuals were employed used to fine map ms- 3, which was delimited to a 76 Kb region. In this region, a single non-synonymous SNP was found in the Csa3M006660 gene locus, which was predicted to result in an amino acid change. Quantitative RT-PCR analysis of Csa3M006660 was consistent with the fact that it plays a role in the early development of cucumber pollen. The protein encoded by Csa3M006660 is predicted to be homeodomain (PHD) finger protein, and the high degree of sequence conservation with homologs from a range of plant species further suggested the importance of the ms- 3 non-synonymous mutation. The data presented here provide support for Csa3M006660 as the most likely candidate gene for Ms- 3. [ABSTRACT FROM AUTHOR]

Cucumbers are one of the most important vegetable crops worldwide. The molecular markers have substantial potential to improve the efficiency of conventional cucumber breeding. In this study, a total of 101 157 simple sequence repeats (SSRs) were identified across the cucumber 9930 genome. Most (69 526 of 76 103 or 91.36%) SSRs with unique flanking sequences (unique SSRs) had polymorphisms among 103 cucumber genomes; the number of alleles ranged from 2 to 34 with an average of 4.70. Next, we selected 7486 unique SSR loci with polymorphism information content (PIC) ≥0.5 and major allele differences (the size difference between the alleles with the highest and the second highest frequency) ≥3 bp to design primers. The SSR marker polymorphisms were experimentally validated; 50 highly polymorphic SSR markers had polymorphisms with an average PIC of 0.44. PCR analysis also indicated that these SSR markers could be effectively used as molecular markers. The SSR fingerprints and polymorphic SSR markers with large major allele differences could enhance the efficiency of genetic research and marker-assisted breeding in cucumbers. [ABSTRACT FROM AUTHOR]

Bio-drug is a new type of beneficial biology expressing therapeutic peptides (protein) as orally administrated medicine to treat diseases, in particular, chronic diseases like diabetes. In order to develop recombinant yeast strains as a bio-drug which could effectively ameliorate type 2 diabetes, an integrating expression vector pNK1-PGK that could successfully express green fluorescent protein (GFP) in Saccharomyces cerevisiae was constructed to demonstrate the normality of the function. A pNK1-PGK vector, which expresses 10 tandem repeats of long-acting glucagon-like peptide-1(10laGLP-1), was cloned and then transformed into the S. cerevisiae INVSc1. The long-acting GLP-1 hypoglycemic yeast (LHY168) that grew rapidly and expressed 10laGLP-1 stably was screened by uracil-deficient plates and Western blot. The expression quantity of 10laGLP-1 reached 1.56 mg/g cell wet weight. Moreover, the oral administration of LHY168 significantly declined the blood glucose in type 2 diabetic mice that were constructed through co-induction of streptozotocin (STZ) and high-fat and high-sugar diet.