Publications by authors named "Ya-Hui Zhou"

Although multi-parent populations (MPPs) integrate the advantages of linkage and association mapping populations in the genetic dissection of complex traits and especially combine genetic analysis with crop breeding, it is difficult to detect small-effect quantitative trait loci (QTL) for complex traits in multiparent advanced generation intercross (MAGIC), nested association mapping (NAM), and random-open-parent association mapping (ROAM) populations. To address this issue, here we proposed a multi-locus linear mixed model method, namely mppQTL, to detect QTLs, especially small-effect QTLs, in these MPPs. The new method includes two steps.

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Article Synopsis
  • Genome-wide association studies (GWAS) often face challenges in estimating genotypic effects due to confounding issues and imperfect interaction detection methods.
  • A new mixed model framework, called 3VmrMLM, was developed to accurately estimate genotypic effects and account for interactions between genes and environments.
  • Validation of this framework showed strong performance in detecting known genes and interactions in rice hybrids, revealing insights into the genetic architecture of quantitative traits.
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Article Synopsis
  • Detecting small quantitative trait loci (QTLs) and their interactions with the environment (QEIs) is challenging, especially with changing climates; a new model reduces complexity by focusing on combined effects of QTL genotype and environment.
  • This model integrates a genome-wide composite interval mapping approach (GCIM) with two new methods (GCIM-QEI-random and GCIM-QEI-fixed) to effectively identify significant QTLs and QEIs using advanced statistical tests.
  • The results show that GCIM-QEI-random has greater power in detection compared to previous methods, pinpointing more known genes related to rice yield traits and suggesting that it could be useful in other genetic studies.
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Chemical activation and microwave assisted activation were adopted to modify biochar. Activated biochars were characterized by SEM, BET, FTIR, XRD and XPS. Raw biochar, activated biochars and commercial activated carbon were compared as remediation strategies for sediment from the Xiangjiang River containing 14.

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The novel obesity-associated protein Phosphotyrosine Interaction Domain containing 1 (PID1) inhibits insulin-PI3K/Akt signaling pathway and insulin-stimulated glucose uptake in vitro. In this study, we generated fat tissue-specific aP2-PID1 transgenic (aP2-PID1) mice and PID1 knockout (PID1) mice to explore how PID1 affects glucose metabolism in vivo. We observed insulin resistance and impaired insulin-PI3K/Akt signaling in aP2-PID1 mice.

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Obesity is tightly associated with the disturbance of white adipose tissue storing excess energy. Thermogenic adipocytes (brown and beige) exert a critical role of oxidizing nutrients at the high rates through non-shivering thermogenesis. The recruitment of brown characteristics in white adipocytes, termed browning, has been considered as a promising strategy for treating obesity and associated metabolic complications.

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Two new phenylpropanoid glycosides, 1,3,4-tri-O-(E)-caffeoyl-β-d-glucopyranoside (1) and 1,4-di-O-(E)-caffeoyl-β-d-glucopyranoside (2), along with four known phenylpropanoid glycosides (3-6), were isolated from the roots of Aruncus sylvester. The structures of 1 and 2 were elucidated using various spectroscopic methods. Compounds 1 and 2 displayed significant scavenging activity of 2,2-diphenyl-1-picrylhydrazyl free radicals with IC50 values of 110 and 258 μM (ascorbic acid: IC50 = 574 μM).

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