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1.
Food Res Int ; 139: 109945, 2021 01.
Article in English | MEDLINE | ID: mdl-33509498

ABSTRACT

Milky tea is popular in many countries and its color is an important sensory property. The effects of black tea infusion on the color of milky tea prepared with non-dairy creamer were investigated. The results showed that the redder black tea infusion produced milky tea with more redness, and the color of milky tea was a pleasant pink when the a* value (redness indicator) was in the range of 6.0-7.0. Correlation analysis revealed that the respective theaflavins (TFs), thearubigins (TRs), thearubigins (TBs), (-)-epigallocatechin-3-gallate (EGCG) and chlorogenic acid contents significantly correlated with the a* values of milky tea. A series of complementary experiments were performed to elucidate that TFs and EGCG contributed to the redness of milky tea. The color formation was mainly associated with the binding of phenols to the proteins in the non-dairy creamer. These results contribute to understand the mechanism of color formation in milky tea.


Subject(s)
Camellia sinensis , Tea , Antioxidants/analysis , Flavonoids/analysis , Phenols/analysis
2.
BMC Genomics ; 19(1): 91, 2018 01 25.
Article in English | MEDLINE | ID: mdl-29370753

ABSTRACT

BACKGROUND: Accumulation of cadmium (Cd) in maize (Zea mays L.) poses a significant risk to human health as it is ingested via the food chain. A genome-wide association study (GWAS) was conducted in a population of 269 maize accessions with 43,737 single nucleotide polymorphisms (SNPs) to identify candidate genes and favorable alleles for controlling Cd accumulation in maize. RESULTS: When grown in contaminated soil, accessions varied significantly in leaf Cd concentration at both the seeding and maturing stages with phenotypic variation and the coefficient of variation all above 48%. The co-localized region between SYN27837 (147,034,650 bp) and SYN36598 (168,551,327 bp) on chromosome 2 was associated with leaf Cd under three soil conditions varying in Cd content in 2015 and 2016. The significant SNP (SYN25051) at position 161,275,547 could explained 27.1% of the phenotype variation. Through QTL mapping using the IBMSyn10 double haploid (DH) population, we validated the existence of a major QTL identified by GWAS; qLCd2 could explain the 39.8% average phenotype variation across the experiments. Expression of GRMZM2G175576 encoding a cadmium/zinc-transporting ATPase underlying the QTL was significantly increased in roots, stems and leaves of B73, a low Cd accumulation line in response to Cd stress. CONCLUSIONS: Our findings provide new insights into the genetic control of Cd accumulation and could aid rapid development of maize genotypes with low-Cd accumulation by manipulation of the favorable alleles.


Subject(s)
Cadmium/metabolism , Gene Expression Regulation, Plant , Genome-Wide Association Study , Plant Leaves/genetics , Quantitative Trait Loci , Zea mays/genetics , Chromosome Mapping , Chromosomes, Plant , Genetic Markers , Genotype , Phenotype , Plant Leaves/metabolism , Plant Proteins/genetics , Zea mays/metabolism
3.
Mol Genet Genomics ; 293(3): 615-622, 2018 Jun.
Article in English | MEDLINE | ID: mdl-29274071

ABSTRACT

Large phenotypic variations in the lead (Pb) concentration were observed in grains and leaves of maize plants. A further understanding of inheritance of Pb accumulation may facilitate improvement of low-Pb-accumulating cultivars in maize. A genome-wide association study was conducted in a population of 269 maize accessions with 43,737 single-nucleotide polymorphisms (SNPs). The Pb concentrations in leaves and kernels of 269 accessions were collected in pot-culture and field experiments in years of 2015 and 2016. Significant differences in Pb accumulation were found among individuals under different environments. Using the structure and kinship model, a total of 21 SNPs significantly associated with the Pb accumulation were identified with P < 2.28 × 10-5 and FDR < 0.05 in the pot-culture and field experiments across 2 years. Three SNPs on chromosome 4 had significant associations simultaneously with the Pb concentrations of kernels and leaves and were co-localized with the previously detected quantitative trait loci. Through ridge regression best linear unbiased prediction Pb accumulation in the association population, the prediction accuracies by cross validation were 0.18-0.59 and 0.17-0.64, depending on the k-fold and the size of the training population. The results are helpful for genetic improvement and genomic prediction of Pb accumulation in maize.


Subject(s)
Genome-Wide Association Study/methods , Lead/metabolism , Zea mays/genetics , Chromosome Mapping , Chromosomes, Plant/genetics , Gene Regulatory Networks , Plant Leaves/genetics , Plant Leaves/metabolism , Plant Proteins/genetics , Polymorphism, Single Nucleotide , Quantitative Trait Loci , Zea mays/metabolism
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