Seasonal changes in dominant bacterial taxa from acidic peatlands of the Atlantic Rain Forest.

Res Microbiol

Department of Biochemistry and Molecular Biology, Universidade Federal do Paraná, Caixa Postal 19046, CEP 81531-990, Curitiba, Paraná, Brazil. Electronic address:

Published: September 2014

The acidic peatlands of southern Brazil are essential for maintenance of the Atlantic Rain Forest, one of the 25 hot-spots of biodiversity in the world. While these ecosystems are closely linked to conservation issues, their microbial community ecology and composition remain unknown. In this work, histosol samples were collected from three acidic peatland regions during dry and rainy seasons and their chemical and microbial characteristics were evaluated. Culturing and culture-independent approaches based on SSU rRNA gene pyrosequencing were used to survey the bacterial community and to identify environmental factors affecting the biodiversity and microbial metabolic potential of the Brazilian peatlands. All acidic peatlands were dominated by the Acidobacteria phylum (56-22%) followed by Proteobacteria (28-12%). The OTU richness of these phyla and the abundance of their Gp1, Gp2, Gp3, Gp13, Rhodospirillales and Caulobacteriales members varied according to the period of collection and significantly correlated with the rainy season. However, despite changes in acidobacterial and proteobacterial communities, rainfall did not affect the microbial metabolic potential of the southern Brazilian Atlantic Rain Forest peatlands, as judged by the metabolic capabilities of the microbial community.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.resmic.2014.05.036DOI Listing

Publication Analysis

Top Keywords

acidic peatlands
12
atlantic rain
12
rain forest
12
microbial community
8
microbial metabolic
8
metabolic potential
8
peatlands
5
microbial
5
seasonal changes
4
changes dominant
4

Similar Publications

Ubiquitous genome streamlined in freshwater environments.

ISME Commun

January 2024

Department of Aquatic Microbial Ecology, Institute of Hydrobiology, Biology Centre of the Czech Academy of Sciences, Na Sadkach 7, 37005 České Budějovice, Czech Republic.

are abundant in soil, peatlands, and sediments, but their ecology in freshwater environments remains understudied. UBA12189, an genus, is an uncultivated, genome-streamlined lineage with a small genome size found in aquatic environments where detailed genomic analyses are lacking. Here, we analyzed 66 MAGs of UBA12189 (including one complete genome) from freshwater lakes and rivers in Europe, North America, and Asia.

View Article and Find Full Text PDF
Article Synopsis
  • In the past 25 years, degraded peatlands in eastern Canada have been restored, and created pools—important habitats—have been introduced, but their biogeochemistry has been under-studied.
  • This study measures various biogeochemical factors (like pH and nutrient levels) in 61 pools across natural and restored peatlands, focusing on how these factors differ between pools created 3 to 22 years ago and natural ones.
  • Results show that created pools are generally less acidic and richer in nutrients compared to natural pools; older created pools (over 17 years) start to resemble the biogeochemical characteristics of natural pools, suggesting that they may eventually replicate the ecological functions of natural habitats.
View Article and Find Full Text PDF

Nitrogen is the most limiting nutrient in wetland ecosystems. Changing in nitrogen nutrient status has a great effect on wetland carbon and nitrogen cycling. However, there is much uncertainty as to wetland greenhouse gas emissions response to nitrogen inputs in China.

View Article and Find Full Text PDF

Peat is the main constituent of cultivation substrates and a precious non-renewable fossil material. Peatlands provide important ecosystem services and allow the absorption and storage of carbon. Protecting peatlands helps tackle climate change and contributes to biodiversity conservation.

View Article and Find Full Text PDF

Polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs) are involuntary by-products of incomplete combustion and are highly toxic to humans and the environment. The Malaysian peat is often acidic or extremely acidic having high levels of chlorine and/or other organic acids that act as catalysts or precursors in PCDD/Fs formation. This study aims to predict PCDD/Fs emissions in peat soil using an artificial neural network (ANN) approach based on limited emission data and selected physico-chemical properties.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!