Results 121 to 130 of about 191,056 (279)

New insights into tragulid phylogeny of Europe: Dorcatherium naui from the latest Middle Miocene of Austria [PDF]

, 2013
Aiglstorfer, Manuela, Böhme, Madelaine, Rößner, Gertrud E., Wörheide, Gert   +3 more
core   +1 more source

Additive and Partially Dominant Effects from Genomic Variation Contribute to Rice Heterosis

Advanced Science, EarlyView.
Additive and partially dominant effects, namely at mid‐parent levels or values between mid‐parent and parental levels, respectively, are the predominant inheritance patterns of heterosis‐associated molecules. These two genetic effects contribute to heterosis of agronomic traits in both rice and maize, as well as biomass heterosis in Arabidopsis ...
Zhiwu Dan, Yunping Chen, Wei Zhou, Yanghong Xu, Junran Huang, Yi Chen, Jizhou Meng, Guoxin Yao, Wenchao Huang   +8 more
wiley   +1 more source

Dental eruption in ruminants and other mammals [PDF]

, 2013
Asher, Robert J., Wörheide, Gert
core   +1 more source

A CLE11b‐CLE16 Signaling Relay Mediates Root‐Shoot‐Root Crosstalk for Drought Adaptation in Common Bean

Advanced Science, EarlyView.
A novel root‐shoot‐root signaling relay, mediated by CLE peptides, coordinates drought adaptation in common bean. Root‐derived PvCLE11b translocates acropetally to leaves, inducing PvCLE16 expression via PvTCP10. Leaf‐accumulated PvCLE16 triggers stomatal closure and translocates basipetally to modulate root architecture.
Xinyang Wu, Shiyuan Tao, Zhuoyi Wang, Ting Sun, Zixin Zhang, Su Yang, Min Xu, Chenyi Huang, Siyi Wang, Xubo Ke, Chenze Lu, Kang Ning, Pei Xu   +12 more
wiley   +1 more source

Thinking on your feet: potentially enhancing phylogenetic tree learning accessibility through a kinaesthetic approach

Evolution: Education and Outreach
Background Phylogenetics is one of the main methodologies to understand cross-cutting principles of evolution, such as common ancestry and speciation. Phylogenetic trees, however, are reportedly challenging to teach and learn.
Telma G. Laurentino, Meike Scheller, Gillian Glover, Michael J. Proulx, Alexandra A. de Sousa   +4 more
doaj   +1 more source

COVID-19 Mortality Risk Assessment Among Various Age Groups Using Phylogenetic Analysis

, 2020
Pawan Verma
openalex   +1 more source

A Genomic Catalog of Migratory Microbiomes from Wild Birds across China's Habitats

Advanced Science, EarlyView.
ABSTRACT Migratory birds play an important role in the spread of antimicrobial resistance (AMR); however, gaps in surveillance data from vital regions along migratory flyways across China limit the detection of emergent threats. Here, we assembled 340 metagenomes from 52 bird species covering 11 provincial administrative districts in China, presenting ...
Yanan Wang, Heqi Wu, Mengqi Qu, Chunge Zhang, Ziqian Xu, Yuhang Pei, Chaochao Zhao, Jiangtao Wang, Sufang Ma, Na Lyu, Xuebin Xu, Yuhai Bi, Baoli Zhu, George F. Gao   +13 more
wiley   +1 more source

Plant‐Derived Melatonin Inhibits Bacterial Virulence via CpxA/R Two‐Component System

Advanced Science, EarlyView.
Plant‐derived melatonin is sensed by CpxAE48/T51, which inhibits the phosphorylation cascade transmission from CpxAH240 to CpxRD52, resulting in the inhibition of DNA‐binding capacity of CpxR and subsequent T3SS genes expression in Pst DC3000. ABSTRACT In defending against pathogens, plants deploy diverse secondary metabolites and signaling molecules ...
Jin‐Wei Wei, Wei Liu, Bili Cao, Dan Zhao, Chengqiang Wang, Xin Hou, Tangyuan Ning, Biao Gong   +7 more
wiley   +1 more source

The anatomy and paleoecology of the boselaphine Miotragocerus pannoniae from the late Miocene Höwenegg locality (Hegau, Germany) [PDF]

, 2013
Bernor, Raymond L., Semprebon, Gina M., Wolf, Dominik, Wörheide, Gert   +3 more
core   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source