Results 181 to 190 of about 302,540 (297)

Partitioning the forms of genotype-by-environment interaction in the reaction norm analysis of stability. [PDF]

Theor Appl Genet, 2023
Waters DL, van der Werf JHJ, Robinson H, Hickey LT, Clark SA.   +4 more
europepmc   +1 more source

Pan‐3D Genome Analysis Reveals the Roles of Structural Variation in Chicken Chromatin Architectures, Domestication and Production Traits

Advanced Science, EarlyView.
This study firstly presents a comprehensive and high‐resolution pan‐3D genome resource in chicken. Our findings reveal the role of structural variations in 3D genome architectures, and how they influence the domestication process and production traits at the 3D genome level.
Zhen Zhou, Danfeng Cai, Changbin Zhao, Siyu Zhang, Jiahao Li, Zhaofeng Zhang, Shaofen Kong, Xin Yang, Xiaoli Zhou, Farhad Bordbar, Fayi Chen, Yaohuan Xu, Zhe Zhang, Lihong Gu, Zhenhui Li, Xiquan Zhang, Wen Luo, Jingting Shu, Bolin Cai, Qinghua Nie   +19 more
wiley   +1 more source

Genotype-by-Environment Interaction Stability Analysis of New Quinoa (<i>Chenopodium quinoa</i> Willd.) Varieties in the Mediterranean Zone of Chile. [PDF]

Plants (Basel)
Olguín P, Contreras S, Rojas C, Fuentes F.   +3 more
europepmc   +1 more source

Astrocytic TIA1‐Mediated Stress Granules Promote the Demyelination of Optic Neuritis by Sequestering mRNA of Cholesterol Synthesis Genes in an Experimental Autoimmune Encephalomyelitis Model

Advanced Science, EarlyView.
Astrocytic TIA1‐mediated stress granules (SGs) promote demyelination by sequestering the mRNA of cholesterol synthesis genes. In this model, astrocytic TIA1‐mediated SGs were increased in the optic nerves of EAE mice, leading to the downregulation of cholesterol synthesis genes such as HMGCS1 through sequestration of their mRNA into SGs, which ...
Zheyu Fang, Xin Hua, Ziwei Fan, Jiaxin Zhao, Yuan Zhang, Qiaoyi Zhang, Xi Qu, Shengli Pan, Bingbing Wan, Shiyin Yang, Jia Li, Xu Zhang   +11 more
wiley   +1 more source

Genotype-by-Environment Interaction Analysis for Quantity and Quality Traits in Faba Beans Using AMMI, GGE Models, and Stability Indices. [PDF]

Plants (Basel), 2023
Greveniotis V, Bouloumpasi E, Zotis S, Korkovelos A, Kantas D, Ipsilandis CG.   +5 more
europepmc   +1 more source

Phenotype and genotype-by-environment interactions

A report describing phenotype and genotype-by-environment interactions in northern and southern European ...
openaire   +1 more source

Genetic Control of Tissue Remodeling by a Non‐Coding SNP in ITGA8 Explains Carotenoid‐Based Color Polymorphism in Marine Mollusks

Advanced Science, EarlyView.
In this study, the orange‐muscle giant abalone (Haliotis gigantea) is used as a model to identify a non‐coding SNP that disrupts the interaction between ITGA8 pre‐mRNA and the splicing factor ILF2, leading to altered ITGA8 splicing. These splicing changes promote carotenoid accumulation in abalone muscle through the regulation of tissue remodeling ...
Xiaohui Wei, Wenzhu Peng, Zekun Huang, Bingye Yang, Yiyu Wu, Minzhen Han, Yi Wang, Bingling Peng, Guosheng Hu, Jiawei Hong, Guijia Liu, Linwei Nie, Yang Gan, Miaoqin Huang, Xuan Luo, Weiwei You, Wen Liu, Caihuan Ke   +17 more
wiley   +1 more source

Optimizing the single-step model for predicting fumonisins resistance in maize hybrids accounting for the genotype-by-environment interaction. [PDF]

Front Genet
Evangelista JSPC, Dias KODG, Pastina MM, Chaves S, Guimarães LJM, Hidalgo J, Garcia-Abadillo J, Persa R, Queiroz VAV, da Silva DD, Bhering LL, Jarquin D.   +11 more
europepmc   +1 more source

Genetic Dissection of Phosphorus Use Efficiency and Genotype-by-Environment Interaction in Maize. [PDF]

Int J Mol Sci, 2022
Li D, Li G, Wang H, Guo Y, Wang M, Lu X, Luo Z, Zhu X, Weiß TM, Roller S, Chen S, Yuan L, Würschum T, Liu W.   +13 more
europepmc   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Advanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu, Weize Xu, Da Lin, Leqiang Sun, Jinxia Dai, Gang Cao   +5 more
wiley   +1 more source