Despite that climate change is currently one of the most pervasive challenges, its effects on the plant-associated microbiome is still poorly studied. The aim of this study was to evaluate the impact of the independent and combinatory effect of climate warming and drought on the microbiome assembly of oak from seed to seedling. In a multifactorial experimental set up, acorns were subjected to different temperatures (15 °C, 20 °C, and 25 °C) and soil moisture levels (drought (15%) and control (60%)) from germination until the seedling stage, after which the bacterial and fungal communities associated to the rhizosphere and phyllosphere were characterized by amplicon sequencing and qPCR. The results showed a stronger effect of temperature on fungal than on bacterial diversity and the effect was more pronounced in the phyllosphere. Under drought condition, temperature had a significantly negative effect on phyllosphere fungal diversity. In the rhizosphere, temperature had a significant effect on the fungal community composition which was primarily caused by species turnover. Regardless of temperature, Actinobacteriota was significantly enriched in drought, a group of bacteria known to increase plant drought tolerance. This study provides new insights into the effect of climate change on the plant microbiome in natural ecosystems.
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http://dx.doi.org/10.1186/s40793-024-00602-4 | DOI Listing |
FEMS Microbiol Ecol
January 2025
NIAB East Malling, New Road, Kent, ME19 6BJ, UK.
Severity of European apple canker caused by Neonectria ditissima can vary between locations and apple genotypes. We investigated how location, cold storage/planting season, and apple scion genotype affect root-associated microbial communities. Additionally, we investigated whether differences in abundance of specific taxa could be associated with canker lesion counts.
View Article and Find Full Text PDFCurr Opin Microbiol
January 2025
Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Electronic address:
Designing microbiomes for applications in health, bioengineering, and sustainability is intrinsically linked to a fundamental theoretical understanding of the rules governing microbial community assembly. Microbial ecologists have used a range of mathematical models to understand, predict, and control microbiomes, ranging from mechanistic models, putting microbial populations and their interactions as the focus, to purely statistical approaches, searching for patterns in empirical and experimental data. We review the success and limitations of these modeling approaches when designing novel microbiomes, especially when guided by (inevitably) incomplete experimental data.
View Article and Find Full Text PDFMicrobiol Spectr
January 2025
Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, Changchun, China.
Animal skin acts as the barrier against invasion by pathogens and microbial colonizers. Environmental microbiota plays a significant role in shaping these microbial communities, which, in turn, have profound implications for host health. Previous research has focused on characterizing microorganisms on bats' skin and in their roosting environments, particularly bacterial communities.
View Article and Find Full Text PDFFront Oncol
January 2025
Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China.
Background: Lung adenocarcinoma (LUAD), the most prevalent form of lung cancer. The transition from adenocarcinoma (AIS), and minimally invasive adenocarcinoma (MIA) to invasive adenocarcinoma (IAC) is not fully understood. Intratumoral microbiota may play a role in LUAD progression, but comprehensive stage-wise analysis is lacking.
View Article and Find Full Text PDFJ Environ Manage
January 2025
China Architecture Design and Research Group, Beijing, 100044, PR China; Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, PR China.
Slow sand filters (SSFs) have been increasingly applied to rainwater purification in recent years, but the response of SSFs to fluctuating rainfall, as well as the biofilm- and water-phase microecology in SSFs are still poorly understood. This study systematically evaluated the rainwater purification performance of SSFs and compared the bacterial community structure, assembly processes and molecular ecological interactions between the biofilm and water phases. The activated carbon and activated alumina filters exhibited the best performance for NH-N (18.
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