Results 161 to 170 of about 9,640,965 (252)

Early Spatial and Contextual Coding Deficits in Hippocampal CA1 Precede Performance Decline in an Alzheimer's Disease Model

Advanced Science, EarlyView.
Two‐photon calcium imaging in behaving 5xFAD mice reveals early CA1 coding deficits before behavioral decline. Task‐related place cell activity and splitter cell trajectory coding are impaired, with reduced retrospective dominance and greater prospective weighting.
Yimei Li, Mary Ann Go, Hualong Zhang, Robertas Aleksynas, Juliana Kim, Mingyang Gao, Seigfred Prado, Magdalena Sastre, Simon R. Schultz   +8 more
wiley   +1 more source

Modelling the interaction genotype x environment to predict crops' response

, 2005
In Sahel, scarcity and randomness of water resources are the main explanation of the variability of the plant response in multilocation trials. This variability is known for plant breeders under the name of interaction between genotype and environment (G
Dieng, Ibnou, Sabatier, Robert, Gozé, Eric   +2 more
core  

Hereditary analysis and genotype × environment interaction effects on growth and yield components of Bambara groundnut (Vigna subterranea (L.) Verdc.) over multi-environments. [PDF]

Sci Rep, 2022
Khan MMH, Rafii MY, Ramlee SI, Jusoh M, Al Mamun M.   +4 more
europepmc   +1 more source

Symbiont‐Induced HSP83 Establishes Two‐Tiered Control of Antifungal Immunity in an Invasive Beetle–Fungus Complex

Advanced Science, EarlyView.
In an invasive beetle–fungus complex, the mutualist Leptographium procerum induces host HSP83 and modulates Toll‐dependent antifungal immunity. HSP83 mediates two‐tiered control by associating with selected fungal recognition receptors and restraining Dorsal‐driven antimicrobial peptide transcription.
Qingtai Yang, Zhudong Liu, Yuqiao Yin, Jing Su, Dunyang Yu, Longsheng Xing, Zhen Zou, Le Kang, Jianghua Sun   +8 more
wiley   +1 more source

Analyzing complex traits and diseases using GxE PRS: genotype-environment interaction in polygenic risk score models. [PDF]

J Hum Genet
Jayasinghe D, Pham VVH, Beckmann K, Benyamin B, Lee SH.   +4 more
europepmc   +2 more sources

Application of mixed models, GGE biplot, ER analysis and machine learning for wheat genotype classification

Crop Breeding and Applied Biotechnology
Accurate classification of wheat genotypes for adaptability and stability across diverse environments remains challenging in multi-environment trials.
Saleem Abid, Sajjad Ahmad Khan, Muhammad Sohail, Saleem Zahid   +3 more
doaj  

Genotype-environment interaction drives the onset of riboflavin-responsive multiple acyl-CoA dehydrogenase deficiency in carriers of single heterozygous ETFDH variants. [PDF]

Cell Commun Signal
Ma J, Zhang H, Jiao J, Su M, Zhao J, Liu D, Wen Q, Wang J, Wang J, Duan W, Chang X, Guo J, Zhang W.   +12 more
europepmc   +1 more source

Delineation of genotype × environment interaction for identification of stable genotypes for tillering phase drought stress tolerance in sugarcane. [PDF]

Sci Rep, 2021
Mahadevaiah C, Hapase P, Sreenivasa V, Hapase R, Swamy HKM, Anilkumar C, Mohanraj K, Hemaprabha G, Ram B.   +8 more
europepmc   +1 more source

Impaired Chaperone‐Mediated Autophagy Accelerates Intervertebral Disc Degeneration by Inducing MIDN Accumulation to Target TSC2 for Proteasomal Degradation

Advanced Science, EarlyView.
This graphical abstract illustrates how chaperone‐mediated autophagy (CMA) regulates intervertebral disc degeneration (IDD). Under normal homeostasis (B), CMA degrades cytoplasmic Midnolin (MIDN) to maintain proteostasis. Under inflammatory stress (A), impaired CMA leads to cytoplasmic MIDN accumulation.
Xianglong Chen, Haiyang Gao, Wang Wu, Pengzhi Shi, Yuhang Chen, Anran Zhang, Zhangrong Cheng, Wenbo Wu, Zimu Yu, Yukun Zhang   +9 more
wiley   +1 more source

Genotype x environment interaction and stability analysis in lentil (Lens culinaris Medik.)

, 2017
Genotype x environment interaction was evaluated under eight environments during lentil growing season of 2013/14 and 2014/15 for grain yield and their component characters of twenty one promising genotypes selected from previous trial of lentil.
Yadav, N. K.
core