Results 211 to 220 of about 595,153 (252)

RNAi in the Rhizarian Phytopathogen Plasmodiophora brassicae: The Causal Agent of Clubroot Disease in Cruciferous Crops

Advanced Science, EarlyView.
This study uncovers an unusual RNAi pathway in the rhizarian pathogen Plasmodiophora brassicae. In the absence of Dicer, a Drosha‐like RNase III protein supports the biogenesis of predominant 21‐nt small RNAs, and two Argonaute proteins mediate small RNA‐guided silencing.
Xiong Zhang, Yupo Wu, Jiachang Hou, Lixia Gao, Longqi Pan, Cuicui Shen, Chuanji Zhao, Feng Gao, Yi Zhang, Li Ren, Xiaoping Fang, Xiaoling Dun, Shengyi Liu, Lijiang Liu   +13 more
wiley   +1 more source

Haplotype-Resolved 3D Genomic Landscapes and Their Impacts on Agronomic Traits in Grapevine. [PDF]

Adv Sci (Weinh)
Peng Y, Zhou L, Fang X, Zhao R, Xu Q, Du M, Hou T, Huang G, Zhang Y, Yan S, Yang R, Jin Z, Dong Y, Xu Y, Xiao H, Xu X, Liao Y, Wang X, Zhou Y.   +18 more
europepmc   +1 more source

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

Decoding the Functional Proteome of <i>Vitis</i>: Past, Present, and Future. [PDF]

Plants (Basel)
Tomaz I, Jeromel A, Vončina D, Habuš Jerčić I, Lazarević B, Šikuten I, Hofer Geušić S, Preiner D.   +7 more
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Multivirulent Plasmopara viticola strains from Cilaos on Réunion Island break down Rpv1, Rpv3.1 and Rpv10 mediated resistance of grapevine. [PDF]

BMC Plant Biol
Ramírez Martínez J, Miclot AS, Dvorak E, Mazet ID, Couture C, Delière L, Fabre F, Hoarau I, Yobrégat O, Foulongne-Oriol M, Delmotte F.   +10 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Broadening Hard‐Magnet Discovery Beyond Symmetry Constraints via Unified Effective Anisotropy

Advanced Science, EarlyView.
A unified effective‐anisotropy descriptor (Keff) extends hard‐magnet screening across all seven crystal systems, beyond the uniaxial restriction of conventional searches. Machine‐learning screening of 9320 known ferromagnets and diffusion‐model generation together yield 38 rare‐earth‐free or ‐lean candidates with DFT‐validated magnetic hardness (κ > 1),
Hojae Kim, Hyeondeok Shin, Kyungju Nam, Seunghyo Noh, Donghwi Kim, Yousung Jung   +5 more
wiley   +1 more source

Combined omics data reveal multilevel response to water deficit in grapevine disease-resistant varieties. [PDF]

Front Plant Sci
Strah R, Falchi R, Song C, Blejec A, Ramšak Ž, Gruden K, Peterlunger E, Fait A, Pompe-Novak M, Sivilotti P.   +9 more
europepmc   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source