Results 71 to 80 of about 71,533 (310)

Bioenergy Cropping Reduces the Spatiotemporal Scaling of Soil Bacterial Biodiversity

Advanced Science, EarlyView.
Consistent with patterns observed in plant and animal communities, soil bacterial communities exhibit significant species–time–area and phylogenetic–time–area relationships independent of nested structure. Bioenergy cropping significantly reduces the spatiotemporal scaling rates, particularly in sandy loam soils.
Zhencheng Ye, Jialiang Kuang, Colin T. Bates, Arthur Escalas, Daliang Ning, Liyou Wu, Suo Liu, Sihang Deng, Jiesi Lei, Xiangwen Chen, Jennifer Pett‐Ridge, Malay Saha, Lauren Hale, Gangsheng Wang, Renmao Tian, Ying Fu, Yu Tang, Mary Firestone, Jizhong Zhou, Yunfeng Yang   +19 more
wiley   +1 more source

Transcription Factor Promiscuity Drives Regulatory Rewiring and Evolvability in Gene Networks in Bacteria

Advanced Science, EarlyView.
ABSTRACT This special issue marking the University of Bath's 60th anniversary offers an opportunity to reflect on nearly a decade of research into the evolution of gene regulatory networks (GRNs) from members of the lab and elsewhere. Our goal is to understand how GRNs rewire and how new transcription factor (TF) functions evolve. Using an experimental
Tiffany B. Taylor, Alan M. Rice
wiley   +1 more source

Peer Review #3 of "Response of bacterial community structure to different ecological niches and their functions in Korean pine forests (v0.2)"

, 2022

openalex   +1 more source

Macrophage Extracellular Traps in Immunity and Cancer

Advanced Science, EarlyView.
As a macrophage‐mediated innate defense mechanism, the dysregulated release of METs drives chronic inflammation and influences tumor progression. Furthermore, METs exhibit a functional duality within the tumor microenvironment, capable of both promoting and suppressing tumor development.
Junyao Li, Eugenie Nepovimova, Adam Grundel, Lukas Peter, Qinghua Wu, Kamil Kuca   +5 more
wiley   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Multi‐Scale Mapping of Gene Expression from Whole‐slide Images for Identifying Phenotype‐Associated Subpopulations

Advanced Science, EarlyView.
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng, Jiajing Xie, Luqi Wang, Hailong Xie, Tong Zhi, Yujia Guo, Bofeng Zhu, Dong Wang, Yu Chen   +8 more
wiley   +1 more source

Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution

Advanced Science, EarlyView.
Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley   +1 more source

Mass extinctions, biodiversity explosions and ecological niches

Comptes Rendus. Biologies, 2002
The logistic model proposed by Courtillot and Gaudemer to describe the growth of biodiversity during geological ages is more explored here and further developed. A new parameterisation is first proposed. Another expression of this model is obtained by introducing a new variable representing the number of ecological niches.
Pave, Alain, Hervé, Jean-Christophe, Schmidt-Lainé, Claudine   +2 more
openaire   +4 more sources

Forecasting Root Rot Disease through Predictive Microbial Functional Profiling

Advanced Science, EarlyView.
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You, Peng Ren, Ying Guan, Kai Gong, Zhen Hua, Wuxian Zhou, Xinlan Mei, Yikui Wang, Xiaofang Wang, Yangchun Xu, Qirong Shen, Zhong Wei   +11 more
wiley   +1 more source

Linking ecological niche, community ecology and biogeography: insights from a mechanistic niche model

Journal of Biogeography, 2012
AbstractAimWe present a mechanistic niche model that integrates the demography of competing plant species in a metabolic, stochastic framework. In order to explore the model's ability to generate multiple species and community patterns, we assessed trait composition, richness gradients and spatial distributions of species ranges and abundances of ...
Cabral, Juliano Sarmento, Kreft, Holger
openaire   +2 more sources