Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Biological Clocks and Seasonal Responses

Biological Clocks and Seasonal Responses

The circadian—or biological—clock is an intrinsic, timekeeping, molecular mechanism that allows plants to coordinate physiological activities over 24-hour cycles called circadian rhythms. Photoperiodism is a collective term for the biological responses of plants to variations in the relative lengths of dark and light periods. The period of light-exposure is called the photoperiod.

Global Climate Change

Global Climate Change

Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Telomere-to-telomere assemblies of chromosome 10 reveal complex adaptive variation of 3-ketoacyl-CoA-synthases in <i>Populus trichocarpa</i> likely driven by Helitrons.

Forestry research·2026

Same author

Higher Wood Density Lowers Feedstock Cost and Has Minimal Impact on Biomass Conversion to Biofuels.

ACS sustainable chemistry & engineering·2026

Same author

Genomic signatures in <i>Variovorax</i> enabling colonization of the <i>Populus</i> endosphere.

mSystems·2026

Same author

Multilayered regulation by RNA thermometers enables precise control of Cas9 expression in E. coli.

Nucleic acids research·2026

Same author

Complete genome sequences of five <i>Variovorax</i> strains isolated from the <i>Populus</i> rhizosphere and endosphere.

Microbiology resource announcements·2025

Same author

Time-series RNA metabarcoding of the active <i>Populus tremuloides</i> root microbiome reveals hidden temporal dynamics and dormant core members.

mSystems·2025

Search research articles

Related Experiment Video

Updated: Jul 2, 2025

Isolation and Analysis of Microbial Communities in Soil, Rhizosphere, and Roots in Perennial Grass Experiments

Isolation and Analysis of Microbial Communities in Soil, Rhizosphere, and Roots in Perennial Grass Experiments

Published on: July 24, 2018

Seasonality and longer-term development generate temporal dynamics in the Populus microbiome.

William A Argiroff¹, Alyssa A Carrell¹, Dawn M Klingeman¹

¹Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.

|February 29, 2024

Summary

Tree microbiomes change seasonally and across years due to host plant development. These temporal dynamics, influenced by climate, reveal both short-term fluctuations and long-term shifts in microbial communities.

Keywords:

fine roots microbial community assembly phyllosphere rhizosphere temporal patterns

More Related Videos

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Published on: May 2, 2018

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Published on: July 12, 2018

Related Experiment Videos

Last Updated: Jul 2, 2025

Isolation and Analysis of Microbial Communities in Soil, Rhizosphere, and Roots in Perennial Grass Experiments

Isolation and Analysis of Microbial Communities in Soil, Rhizosphere, and Roots in Perennial Grass Experiments

Published on: July 24, 2018

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Published on: May 2, 2018

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Published on: July 12, 2018

Area of Science:

Microbial Ecology
Plant Science
Ecology

Background:

Understanding temporal dynamics of microbial communities is crucial for plant health.
Controls over temporal variation in tree microbiomes, especially for long-lived species, are not well understood.
Tree microbiomes may fluctuate seasonally or change over longer periods as trees age.

Purpose of the Study:

To investigate the drivers of temporal variation in tree microbiomes.
To differentiate between seasonal (intra-annual) and longer-term (multi-year) changes in tree-associated microbial communities.
To analyze bacterial, archaeal, and fungal communities in poplar (Populus spp.) over time.

Main Methods:

Utilized a common garden experiment with clonally propagated poplar plants.
Employed amplicon sequencing to characterize microbial communities.
Sampled leaf endosphere, root endosphere, and rhizosphere across four seasons over two consecutive years.

Main Results:

Microbial community composition varied significantly among seasons and years.
Seasonal and yearly variations accounted for up to 21% of the total variation in microbial community composition.
Microbial community dissimilarity increased over time, indicating longer-term compositional shifts as host trees aged, and correlated with climatic conditions.

Conclusions:

Temporal patterns in tree microbiomes result from an interplay between seasonal fluctuations and longer-term developmental changes.
Seasonal microbiome patterns are not static but evolve year-to-year due to host aging.
Future studies on tree microbiomes should incorporate background temporal dynamics to accurately assess spatial patterns and responses to environmental changes.