Acidobacterial community responses to agricultural management of soybean in Amazon forest soils
RESEARCH ARTICLE
Acidobacterial community responses to agricultural
management of soybean in Amazon forest soils
Acácio A. Navarrete1,2, Eiko E. Kuramae2,3, Mattias de Hollander2, Agata S. Pijl2,
Johannes A. van Veen2,4 & Siu M. Tsai1
1
Cell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture CENA, University of São Paulo USP, Piracicaba, SP, Brazil;
Department of Microbial Ecology, Netherlands Institute of Ecology NIOO-KNAW, Wageningen, The Netherlands; 3Department of Ecological
Science, Free University Amsterdam, Amsterdam, The Netherlands; and 4Institute of Biology, Leiden University, Leiden, The Netherlands
2
Received 3 June 2012; revised 1 August
2012; accepted 23 September 2012.
Final version published online 19 October
2012.
MICROBIOLOGY ECOLOGY
DOI: 10.1111/1574-6941.12018
Editor: Angela Sessitsch
Keywords
soil microbiology; soil factors; land-use
changes; tropical rainforest; 16S rRNA gene.
Abstract
This study focused on the impact of land-use changes and agricultural management of soybean in Amazon forest soils on the abundance and composition of
the acidobacterial community. Quantitative real-time PCR (q-PCR) assays and
pyrosequencing of 16S rRNA gene were applied to study the acidobacterial
community in bulk soil samples from soybean croplands and adjacent native
forests, and mesocosm soil samples from soybean rhizosphere. Based on qPCR
measurements, Acidobacteria accounted for 23% in forest soils, 18% in cropland soils, and 14% in soybean rhizosphere of the total bacterial signals. From
the 16S rRNA gene sequences of Bacteria domain, the phylum Acidobacteria
represented 28% of the sequences from forest soils, 16% from cropland soils,
and 17% from soybean rhizosphere. Acidobacteria subgroups 1–8, 10, 11, 13,
17, 18, 22, and 25 were detected with subgroup 1 as dominant among them.
Subgroups 4, 6, and 7 were significantly higher in cropland soils than in forest
soils, which subgroups responded to decrease in soil aluminum. Subgroups 6
and 7 responded to high content of soil Ca, Mg, Mn, and B. These results
showed a differential response of the Acidobacteria subgroups to abiotic soil
factors, and open the possibilities to explore acidobacterial subgroups as earlywarning bioindicators of agricultural soil management effects in the Amazon
area.
Introduction
Soil bacterial communities in the Amazon area have been
analyzed in different types of soils (Borneman & Triplett,
1997; Kim et al., 2007; Cenciani et al., 2009; Jesus et al.,
2009; O’Neill et al., 2009; Navarrete et al., 2010). Based
on these studies, the bacterial community composition
was revealed in soils from different Amazon regions. The
Acidobacteria phylum has been described as dominant in
soils from Western Amazon (Kim et al., 2007; Jesus et al.,
2009) and Central Amazon (Navarrete et al., 2010). However, the role of this dominant group in the bacterial
community of Amazon soils is largely unknown.
Acidobacteria have consistently been detected in many
different habitats around the globe by 16S rRNA gene–
based molecular surveys, including soil and rhizosphere
niches (Chow et al., 2002; Kuske et al., 2002; Gremion
FEMS Microbiol Ecol 83 (2013) 607–621
et al., 2003; Quaiser et al., 2003; Fierer et al., 2005;
Stafford et al., 2005; Janssen, 2006; Sanguin et al., 2006;
De Cárcer et al., 2007; Singh et al., 2007; DeAngelis et al.,
2009; Kielak et al., 2009). These observations have
revealed that Acidobacteria are ubiquitous and among the
most abundant bacteria phylum in soil. In spite of their
high abundance, little information is available on their
ecology, which is mainly due to the lack of culturable
representatives in bacterial collections (Kishimoto et al.,
1991; Liesack et al., 1994; Coates et al., 1999; Bryant
et al., 2007; Eichorst et al., 2007, 2011; Fukunaga et al.,
2008; Koch et al., 2008; Lee et al., 2008; Nunes da Rocha
et al., 2009; Ward et al., 2009; Kulichevskaya et al., 2010;
Pankratov & Dedysh, 2010; Männistö et al., 2011;
Pankratov et al., 2011).
Land-use changes is one of the greatest threats to biodiversity worldwide, and one of the most devastating
ª 2012 Federation of European Microbiological Societies
Published by Blackwell Publishing Ltd. All rights reserved
Correspondence: Eiko E. Kuramae,
Department of Microbial Ecology,
Netherlands Institute of Ecology NIOOKNAW. Droevendaalsesteeg 10, 6708 PB,
Wageningen, The Netherlands.
Tel.: +31 317 473502;
fax: +31 317 473675;
e-mail:
608
Materials and methods
Site description and soil sampling
Bulk soil samples were collected in two different field
locations in the Southeastern Brazilian Amazon, in the
state of Mato Grosso, Brazil, in the Porto dos Gaúchos
municipality ( 15°13′39″ S and 54°04′31″ W) and the
Ipiranga do Norte municipality ( 13°21′57″ S and
54°54′24″ W) (Fig. 1). Oxisol is the predominant soil
order in the sampling sites (Secretaria de Estado de
Planejamento e Coordenação Geral, 2001), and the climate in the region is classified as Am (Koppen’s classification), with annual average temperature of 28 °C and
average precipitation of 2000 mm.
ª 2012 Federation of European Microbiological Societies
Published by Blackwell Publishing Ltd. All rights reserved
The field locations were considered replicates and the
sampling sites were selected according to the vegetation
cover, soil use, and management practices. In the Porto
dos Gaúchos municipality, areas covered with native
tropical rainforest were cleared in 2008 and subsequently
converted into agricultural land. Since 2004, forest conversion to agricultural use occurred in areas located in
Ipiranga do Norte municipality. In both field locations,
forest conversion to agricultural use followed annually the
rotational production order: millet, soybean, maize, under
no-tillage. After deforestation, fertilizers, pesticides, and a
liming treatment were applied to the cropland fields of
both locations. The cropland fields received different
amounts of lime to increase soil pH to 5 and 6.
Bulk soil samples were collected from soybean production fields before sowing the seeds (October 2009) and
after soybean (Glycine max [L.] Merrill cultivar M-SOY
8866) harvest (April 2010) in order to consider an
expected variation in soil characteristics during the soybean cultivation (Fig. 1). Soil samples were also collected
at the same time from adjacent forests to represent the
native soil–plant conditions (Fig. 1). At each sampling
site, the soil samples were collected from five points. One
central sampling point and other four sampling points (at
least 50 m apart from the central point) directed toward
the north, south, east, and west of the central point. Soil
samples were taken from the 0- to 20-cm topsoil layer
(tilled zone). First, the litter layer was removed, and then,
the soil sample was collected using a 5-cm-diameter aseptic cylindrical core. A total of 40 bulk soil samples were
collected in field (2 field locations 9 2 sampling sites pe (...truncated)