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Comparative Analysis of Prokaryotic Communities Associated with Organic and Conventional Farming Systems

Abstract

One of the most important challenges in agriculture is to determine the effectiveness and environmental impact of certain farming practices. The aim of present study was to determine and compare the taxonomic composition of the microbiomes established in soil following long-term exposure (14 years) to a conventional and organic farming systems (CFS and OFS accordingly). Soil from unclared forest next to the fields was used as a control. The analysis was based on RT-PCR and pyrosequencing of 16S rRNA genes of bacteria and archaea. The number of bacteria was significantly lower in CFS than in OFS and woodland. The highest amount of archaea was detected in woodland, whereas the amounts in CFS and OFS were lower and similar. The most common phyla in the soil microbial communities analyzed were Proteobacteria (57.9%), Acidobacteria (16.1%), Actinobacteria (7.9%), Verrucomicrobia (2.0%), Bacteroidetes (2.7%) and Firmicutes (4.8%). Woodland soil differed from croplands in the taxonomic composition of microbial phyla. Croplands were enriched with Proteobacteria (mainly the genus Pseudomonas), while Acidobacteria were detected almost exclusively in woodland soil. The most pronounced differences between the CFS and OFS microbiomes were found within the genus Pseudomonas, which significantly (p< 0,05) increased its number in CFS soil compared to OFS. Other differences in microbiomes of cropping systems concerned minor taxa. A higher relative abundance of bacteria belonging to the families Oxalobacteriaceae, Koribacteriaceae, Nakamurellaceae and genera Ralstonia, Paenibacillus and Pedobacter was found in CFS as compared with OFS. On the other hand, microbiomes of OFS were enriched with proteobacteria of the family Comamonadaceae (genera Hylemonella) and Hyphomicrobiaceae, actinobacteria from the family Micrococcaceae, and bacteria of the genera Geobacter, Methylotenera, Rhizobium (mainly Rhizobium leguminosarum) and Clostridium. Thus, the fields under OFS and CFS did not differ greatly for the composition of the microbiome. These results, which were also confirmed by cluster analysis, indicated that microbial communities in the field soil do not necessarily differ largely between conventional and organic farming systems.

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Comparative Analysis of Prokaryotic Communities Associated with Organic and Conventional Farming Systems

Author: Pershina, Elizaveta,Valkonen, Jari,Kurki, Päivi,Ivanova, Ekaterina,Chirak, Evgeny,Korvigo, Ilia,Provorov, Nykolay,Andronov, Evgeny
Publisher: Plos,Plos,San Francisco, CA,us
Year: 2015
Source: https://jukuri.luke.fi/bitstream/10024/531559/1/Pershina.pdf
RESEARCH ARTICLE
Compa a i e Analysis o P oka yo ic
Communi ies Associa ed wi h O ganic and
Con en ional Fa ming Sys ems
Eliza e a Pe shina
1,2
*, Ja i Valkonen
3
, Päi i Ku ki
4
, Eka e ina I ano a
1,5
, E geny Chi ak
1
,
Ilia Ko igo
1
, Nykolay P o o o
1
, E geny And ono
1,2
1Labo a o y o mic obiological moni o ing and bio emedia ion o soils, All-Russia Resea ch Ins i u e o
Ag icul u al Mic obiology, Sain -Pe e sbu g, Russia, 2Sain -Pe e sbu g S a e Uni e si y, Sain -Pe e sbu g,
Russia, 3Depa men o Ag icul u al Sciences, Uni e si y o Helsinki, Helsinki, Finland, 4Na u al Resou ces
Ins i u e Finland, Mikkeli, Finland, 5Labo a o y o biology and biochemis y o soils, V.V. Dokuchae Soil
Science Ins i u e, Moscow, Russia
*pe shina.eliza e a@yandex. u
Abs ac
One o he mos impo an challenges in ag icul u e is o de e mine he e ec i eness and
en i onmen al impac o ce ain a ming p ac ices. The aim o p esen s udy was o de e -
mine and compa e he axonomic composi ion o he mic obiomes es ablished in soil ollow-
ing long- e m exposu e (14 yea s) o a con en ional and o ganic a ming sys ems (CFS and
OFS acco dingly). Soil om uncla ed o es nex o he ields was used as a con ol. The
analysis was based on RT-PCR and py osequencing o 16S RNA genes o bac e ia and
a chaea. The numbe o bac e ia was signi ican ly lowe in CFS han in OFS and woodland.
The highes amoun o a chaea was de ec ed in woodland, whe eas he amoun s in CFS
and OFS we e lowe and simila . The mos common phyla in he soil mic obial communi ies
analyzed we e P o eobac e ia (57.9%), Acidobac e ia (16.1%), Ac inobac e ia (7.9%), Ve -
ucomic obia (2.0%), Bac e oide es (2.7%) and Fi micu es (4.8%). Woodland soil di e ed
om c oplands in he axonomic composi ion o mic obial phyla. C oplands we e en iched
wi h P o eobac e ia (mainly he genus Pseudomonas), while Acidobac e ia we e de ec ed
almos exclusi ely in woodland soil. The mos p onounced di e ences be ween he CFS
and OFS mic obiomes we e ound wi hin he genus Pseudomonas, which signi ican ly
(p<0,05) inc eased i s numbe in CFS soil compa ed o OFS. O he di e ences in mic o-
biomes o c opping sys ems conce ned mino axa. A highe ela i e abundance o bac e ia
belonging o he amilies Oxalobac e iaceae,Ko ibac e iaceae,Nakamu ellaceae and gen-
e a Rals onia,Paenibacillus and Pedobac e was ound in CFS as compa ed wi h OFS.
On he o he hand, mic obiomes o OFS we e en iched wi h p o eobac e ia o he amily
Comamonadaceae (gene a Hylemonella) and Hyphomic obiaceae, ac inobac e ia om he
amily Mic ococcaceae, and bac e ia o he gene a Geobac e ,Me hylo ene a,Rhizobium
(mainly Rhizobium leguminosa um) and Clos idium. Thus, he ields unde OFS and CFS
did no di e g ea ly o he composi ion o he mic obiome. These esul s, which we e also
PLOS ONE | DOI:10.1371/jou nal.pone.0145072 Decembe 18, 2015 1/16
OPEN ACCESS
Ci a ion: Pe shina E, Valkonen J, Ku ki P, I ano a E,
Chi ak E, Ko igo I, e al. (2015) Compa a i e
Analysis o P oka yo ic Communi ies Associa ed wi h
O ganic and Con en ional Fa ming Sys ems. PLoS
ONE 10(12): e0145072. doi:10.1371/jou nal.
pone.0145072
Edi o : A. Ma k Ibekwe, U. S. Salini y Lab, UNITED
STATES
Recei ed: July 25, 2015
Accep ed: No embe 28, 2015
Published: Decembe 18, 2015
Copy igh : © 2015 Pe shina e al. This is an open
access a icle dis ibu ed unde he e ms o he
C ea i e Commons A ibu ion License, which pe mi s
un es ic ed use, dis ibu ion, and ep oduc ion in any
medium, p o ided he o iginal au ho and sou ce a e
c edi ed.
Da a A ailabili y S a emen : All ele an da a a e
wi hin he pape and i s Suppo ing In o ma ion ile.
Funding: Financial suppo o he Ag o-
Bio echnology ocused on Roo -Mic obe Sys ems
Bal ic Sea egion ne wo k (AB-RMS) was ecei ed
om No den/No dFo sk (Au ho s: Ja i Valkonen,
Päi i Ku ki):h p://www.no d o sk.o g/en. Financial
suppo o bioin o ma ics da a analysis was ob ained
om Russian Science Founda ion (RSF) g an 14-26-
00094: "Analysis o he gene ic and e olu iona y
po en ial o he soil mic obiome o imp o e plan
p oduc i i y and soil e ili y" (Au ho s: E geny Chi ak,
con i med by clus e analysis, indica ed ha mic obial communi ies in he ield soil do no
necessa ily di e la gely be ween con en ional and o ganic a ming sys ems.
In oduc ion
Soil mic oo ganisms can se e as bioindica o s o an h opogenic s ess expe ienced by he soil
du ing ag icul u al use [1]. Fo a long pe iod o ime, biologically aluable soil mic oo ganisms
ha e been s udied by isola ion and cul i a ion in labo a o y [2]. The nex -gene a ion sequenc-
ing echnologies ha e in ensi ied explo a ion o soil mic obial di e si y and allowed o iden i y
biological indica o s, no only among he mic obes ha can be cul u ed in i o, bu also
among he bac e ia and a chaea which canno be cul u ed [3].
One o he mos impo an challenges o mode n ag icul u e is o de e mine he e ec i e-
ness and en i onmen al impac o sys ems based on o ganic o con en ional a ming (OFS and
CFS espec i ely). O ganic a ming is conside ed ecologically iendly and o ha e less damag-
ing e ec s on he ecosys em, whe eas con en ional ag icul u e is hough o cause signi ican
changes in biocenoses due o he in ensi e inpu s o syn he ic e ilize s [4,5,6]. P oduc i i y in
CFS is gene ally highe han in OFS, bu he nega i e impac on he en i onmen associa ed
wi h he use o a pa icula ype o a ming sys em is deba ed [7,8,9].
The DOK (sho o he Ge man wo ds dynamic, o ganic and con en ional, espec i ely)
expe imen is one o he mos comp ehensi e s udies on he long- e m e ec s o di e se ag i-
cul u al echniques on he ecosys em [10]. S udying he soil mic obial di e si y by py osequen-
cing and analysis o he axonomic ma ke s o bac e ia and ungi Ha mann e al. (2014)
ound ha o ganic e ilize amendmen s had a posi i e e ec on he composi ion o mic obial
communi ies and on he α-di e si y pa ame e s. O ganic ma e inpu s inc eased he ichness
and dec eased e enness indices [10]. This e ec has been ound also in o he s udies [11,12].
On he o he hand, signi ican inc ease in ichness can lead o posi i e o neu al e ec s on
e enness in sys ems wi h o ganic e ilize amendmen [13,14,15]. The luc ua ions in α-di e -
si y pa ame e s a e o en explained by p edominance o he copio ophic mic oo ganisms,
whose g ow h is s imula ed by o ganic e ilize s [10,16]. Bu his s a emen is equi able only in
he sho - ime expe imen s, pa icula ly i was shown ha copio ophic bac e ia a e empo a -
ily s imula ed by he addi ion o o ganic e ilize s o soil. In he long- un, unde s able condi-
ions, he a io o oligo ophic o copio ophic bac e ia may be g ea e in OFS han in CFS [17].
Indeed, axonomic analyses indica e a he phylum le el ha P o eobac e ia and Fi micu es
end o domina e in he o ganic a ming sys ems, while Ac inobac e ia, and o a lesse ex en
Acidobac e ia, p edomina e in con en ionally managed c oplands and na u al en i onmen s
[18,19]. High abundance o he plan g ow h-p omo ing bac e ia (PGPB), mainly he gene a
Rhizobium,B ady hizobium,Meso hizobium,Bu kholde ia,S eno ophomonas,Pseudomonas,
Sphingomonas and Rhodoplanes, has been documen ed among he p o eobac e ia in OFS
[13,16,18,2]. Fi micu es in c oplands a e ep esen ed by bac e ia capable o deg ading a ious
complex o ganic ma e ials and include, e.g., he gene a Bacillus,Clos idium,Epulopiscium,
Paenibacillus and Solibacillus [10]. These da a ob ained by he mode n molecula echniques
a e pa ially consis en wi h he da a ob ained using bac e ial cul i a ion echniques [20].
Mic obial dynamics associa ed wi h ce ain land-use p ac ices mus be conside ed oge he
wi h he spa ial and empo al a ia ions in mic obial composi ion, occu ing in soil as a esul
o plan g ow h and seasonal changes. Spa ial luc ua ions in soil mic obial communi ies de i e
om he unequal dis ibu ion o he o ganic compounds wi hin indi idual soil agg ega es o
Soil P oka yo ic Communi ies o Fa ming Sys ems
PLOS ONE | DOI:10.1371/jou nal.pone.0145072 Decembe 18, 2015 2/16
Ilia Ko igo, Eliza e a Pe shina, E geny And ono ):
h p://g an . sc . u/ o ms? id=2W -G10J V8-
3i8XBU2cLb00. Discussion chap e was p epa ed
oge he wi h he esea ch scien is s pa icipa ing in
Russian Science Founda ion (RSF) g an 14-26-
00079: "Bio-physical and chemical diagnosis o soil
o ganic ma e quali y o he de elopmen o
scien i ic and heo e ical basis o Ag obio echnology"
(Au ho : Eka e ina I ano a, h p://g an . sc . u/ o ms?
id=1IgCW10Jq DX3i8WD72cLb00.) The unde s had
no ole in s udy design, da a collec ion and analysis,
decision o publish, o p epa a ion o he manusc ip .
Compe ing In e es s: The au ho s ha e decla ed
ha no compe ing in e es s exis .
ho izons [21,22,23] and on he di e en dis ances om he plan oo s [24,25]. As i was
shown by an Diepeningen and co-wo ke s he composi ion o soil mic obial communi y oscil-
la ed, depending on he dis ance emaining om he oo . These wa elike pa e ns we e
de ec ed bo h o oligo ophic and copio ophic bac e ia bo h in OFS and CFS soils bu we e
signi ican ly s onge in con en ional c oplands [24].
One o he main ad an ages o employing he py osequencing echniques in biodi e si y
s udies is he imp o emen o knowledge abou he impac o ag icul u e on uncul u able
mic oo ganisms. The mos p onounced e ec on soil mic obiome e ealed in he DOK expe i-
men was he impac o o ganic e ilize s o he abundance o Acidobac e ia in soil. In i o
cul i a ion me hods o his bac e ial phylum a e lacking o mos o i s membe s, excep in
a e a emp s o de ine he ole o hese bac e ia in he ag icul u al sys ems managed wi h
o ganic e ilize s amendmen s [26]. Among acidobac e ia, gene a Cand.Solibac e and Cand.
Ko ibac e ha e been ound exclusi ely associa e wi h CFS, whe eas Chlo acidobac e ia and he
RB25 g oup ha e been ound associa ed wi h OFS in p e ious s udies [10].
The aim o his s udy was o compa e long- e m impac s o OFS and CFS on mic obial
di e si y in soil. In he expe imen al s a ion Ka ila (Mikkeli, Finland) whe e OFS and CFS ha e
been ca ied ou in adjacen ields o 14 yea s. The aim was o compa e he axonomic s uc-
u e o mic obiomes in OFS and CFS and o iden i y mic obes speci ically inhabi ing hese
ecosys ems.
Ma e ials and Me hods
Soil sampling
Field expe imen s we e ca ied ou unde pe mission o he Na u al Resou ces Ins i u e Fin-
land ( o me ly MTT Ag iFood Resea ch Finland). The ield s udies did no in ol e endange ed
o p o ec ed species.
Sampling was done a once om CFS and OFS ields in he expe imen al s a ion Ka ila
(Mikkeli, Finland) du ing he season o ac i e plan g ow h in July 2011. The ields had been
clea ed om pine-sp uce o es in he beginning o 20 h cen u y and he e o e soil samples
we e collec ed om he pine-sp uce o es nex o he ields included o compa ison (Table 1).
The soil ype was a coa se ine sand in bo h sampling ields. Acco ding o US soil axonomy
soil was sandy Aquic Haploc yod. Soil samples we e aken om he op soil laye (10 cm)
using soil d ill (Ø 1 cm).
A each sampling si e h ee ci cles (Ø 1 m) we e ma ked and 10 soil subsamples we e aken
om inside each ci cle and combined. Hence, h ee samples ( eplica es) we e ob ained o
analysis om each ype o soil (woodland, CFS and OFS). The dis ance be ween he sampling
si es was 45 m in a e age. All samples we e immedia ely anspo ed o he labo a o y and
Table 1. Summa y o he cul i a ion his o y o he ields sampled in he expe imen al s a ion “Ka ila”
(Mikkeli, Finland). Fo de ails, see S1 Table.
Yea CFS OFS
1928 The o es was cu down
1997–2010 Applica ion o he CFS, egula
inpu o mine al e ilize s
Applica ion o he OFS, egula o ganic e iliza ion wi h
cow slu y and g een manu e
1997–2006 Sowing o sp ing ce eals, black
cu an (in one pa o he field)
C op o a ion in 4 s eps (1997–2010): 1)sp ing ce eal
wi h ley 2) 3 yea s o clo e -g ass ley 3) sp ing ce eal
4) e ch-oa s
2007 Ba e allow, glyphosa e was used
2008–2010 Ley wi h oa s
doi:10.1371/jou nal.pone.0145072. 001
Soil P oka yo ic Communi ies o Fa ming Sys ems
PLOS ONE | DOI:10.1371/jou nal.pone.0145072 Decembe 18, 2015 3/16
s o ed a -70°C. Coo dina es o he sampling si es we e he ollowing: woodland soil sample
1 (N61°40'32.46", E27°13'53.70"), 2 (N61°40'32.04", E27°13'55.80") and 3 (N61°40'31.86", E27°
13'57.54"); OFS soil sample 1 (N61°40'29.64", E27°13'40.44"), 2 (N61°40'30.00", E27°13'44.40")
and 3 (N61°40'30.42", E27°13'48.96"); and CFS soil sample 1 (N61°40'38.22", E27°13'50.04"),
2 (N61°40'37.50", E27°13'51.24") and 3 (N61°40'36.30", E27°13'53.16").
The cul i a ion his o y o he ields in Ka ila is p esen ed in Table 1. De ails o he cul i a-
ion p ac ices du ing he las h ee g owing seasons p io o sampling a e p o ided in S1 Table.
A he ime o sample collec ion imo hy g ass (Phleum p a ense) and meadow escue (Fes uca
p a ensis) we e g own as a mix u e in bo h sampled ields (OFS and CFS). Besides analysis o
he mic obiome, he soil samples om OFS, CFS and woodland we e subjec ed o ag ochemical
analyses (Table 2).
DNA ex ac ion
DNA was ex ac ed om 0.2 g o soil using Powe Soil DNA Isola ion Ki (Mobio Labo a o ies,
Solana Beach, CA, USA), which included a bead-bea ing s ep, acco ding o he manu ac u e ’s
speci ica ions. Homogeniza ion o he samples was pe o med using Fa sP ep (MP Biomedi-
cals, San a Ana, CA, USA). The pu i y and quan i y o DNA we e es ed by elec opho esis in
0.5× TAE bu e on 1% aga ose. DNA concen a ions we e measu ed a 260 nm using
SPECTROS a Nano (BMG LABTECH, O enbe g, Ge many). The a e age DNA yield was
2–5μg DNA wi h he concen a ion o 10–50 ng/μl.
Quan i a i e PCR analyses
Rela i e abundances o bac e ial and ungal small subuni RNA gene copies we e analyzed by
quan i a i e PCR (qPCR) ( eac ion olume 25 μl) using iQ™SYBR G een Supe mix (BIO RAD,
He cules, USA) and 10 ng o sample DNA. Fo bac e ia, he o wa d p ime Eub338 and
e e se p ime Eub518 we e used [27]. The o wa d p ime a c915 and he e e se p ime
a c1059 we e used o a chaea [28]. To es ima e bac e ial and a chaeal small-subuni RNA
gene abundances, s anda d cu es we e gene a ed using a 10- old se ial dilu ion o a plasmid
con aining a ull-leng h copy o 16S RNA gene belonging ei he o he Esche ichia coli o
FG-07 s ain o Halobac e ium salina um (cou esy o G. Ju gens, Uni e si y o Helsinki).
All qPCR eac ions we e un in iplica e. The eac ion was ca ied ou in iCycle (BIO
RAD, He cules, USA) using he ollowing: 94°C o 15 min, ollowed by 40 cycles o 94°C
o 30 s, 50°C o 30 s and 72°C o 30 s. Mel ing cu e analyses we e done o e i y ha he
ampli ied p oduc s we e o he expec ed size. Fungal and bac e ial gene copy numbe s we e
Table 2. Ag ochemical p ope ies o soil samples.
CFS OFS WOOD
Ca (mg/kg) 1247,33±129,90 1087,00±86,31 242,33±23,13
P (mg/kg) 14,70±1,79 10,50±1,22 3,33±0,26
K (mg/kg) 135,73±17,25 69,76±8,92 72,70±9,67
Mg (mg/kg) 146,67±28,18 117,33±11,21 45,13±5,07
pH 6,67±0,09 5,77±0,07 4,43±0,03
Conduc i i y 0,83±0,07 0,63±0,15 0,37±0,03
To al N 0,27±0,02 0,34±0,03 0,21±0,01
To al C 4,80±0,05 5,49±0,09 5,63±0,12
CFS–con en ional a ming sys em, OFS–o ganic a ming sys em, WOOD–woodland.
doi:10.1371/jou nal.pone.0145072. 002
Soil P oka yo ic Communi ies o Fa ming Sys ems
PLOS ONE | DOI:10.1371/jou nal.pone.0145072 Decembe 18, 2015 4/16
es ima ed using a eg ession equa ion o each assay ela ing he cycle h eshold (C ) alue o
he known numbe o copies in he s anda ds.
S a is ical analysis o he qPCR da a was ca ied ou using one-way ANOVA in
STATISTICA10 En e p ise (www.s a so .com). S a is ical signi icance was es ed by Fische ’s
leas signi ican di e ence (LSD) and Bon e oni adjus ed p- alues.
Ba -coded py osequencing o bac e ial and a chaeal communi ies
The pu i ied DNA empla es we e ampli ied wi h uni e sal mul iplex p ime s F515 5’-
GTGCCAGCMGCCGCGGTAA-3’and R806 5’-GGACTACVSGGGTATCTAAT-3’[29] a -
ge ing he a iable egion V4 o bac e ial and a chaeal 16S RNA genes. Each mul iplex p ime
con ained he adap e , 4-bp key (TCAG), 10-bp ba code and p ime sequences. The expec ed
leng h o he ampli ica ion p oduc was 400 bp. Pu i ica ion, pooling and py osequencing o
he amplicons we e pe o med wi h eagen s acco ding o manu ac u e ’s ins uc ions (Roche,
B an o d, USA). Py osequencing was ca ied ou using GS Junio sys em (Roche).
Bioin o ma ics o he py osequencing-de i ed da ase
The aw sequences we e p ocessed using QIIME e . 1.8.0 [30]. To educe sequencing e o s,
he mul iplexed eads we e i s il e ed o quali y and g ouped acco ding o ba code
sequences. Sequences we e omi ed om he analysis i hey we e less han 200 bp, had a qual-
i y sco e less han 25, con ained unco ec able ba codes, p ime s, ambiguous cha ac e s o a
homopolyme leng h equal o g ea e han 8 bp. All non-bac e ial ibosomal sequences and
chime as we e also emo ed om he da abase. In o al, 17 311 sequences we e ob ained wi h
an a e age o 1923 sequences pe lib a y. The da ase was subjec ed o he no maliza ion p oce-
du e esul ing in 1100 sequences pe sample. The minimum, median and maximum leng hs o
sequences we e 200, 355 and 313 bp, espec i ely. Simila sequences we e clus e ed in o ope a-
ional axonomic uni s (OTUs) wi h a minimum iden i y o 97% using de no o and closed e e -
ence algo i hms. A ep esen a i e se o sequences was chosen by selec ing he mos abundan
sequence om each OTU. Rep esen a i e sequences om each OTU we e subjec ed o RDP
naï e Bayesian RNA Classi ie [31] wi h a con idence le el o 80% and aligned using PyNas
[32] and G eengenes da abase [33]. Aligned sequences we e used o build a dis ance ma ix
wi h a dis ance h eshold o 0.1 and phylogene ic ee necessa y o downs eam analysis.
Sequence da a we e a chi ed in SRA da abase wi h accession SUB473223.
To compa e mic obial communi ies he alpha and be a di e si y analyses we e pe o med.
To es ima e alpha di e si y, he indices o ichness (obse ed species, ChaoI) and e enness
(PD_whole ee, Shannon e enness, Simpson index) we e calcula ed. The - es was pe o med
o e i y he obse ed di e ences. Fo be a di e si y he weigh ed Uni ac me ics [34] was
used o calcula e he amoun o dissimila i y (dis ance) be ween he compa ed bac e ial com-
muni ies. The esul s we e p esen ed in PCoA analysis using QIIME e . 1.8.0 [30]. All es i-
ma es we e measu ed o he no malized da a (no maliza ion was ca ied ou up o he
smalles numbe o sequences p esen in he sample).
The mul iple ma ix eg ession based on Man el pe mu a ions [35] implemen ed in he
phy ools R package (h p://www.phy ools.o g) was conduc ed o e eal he ela ionships
be ween communi y composi ion and di e en ag ochemical p ope ies o soil. To educe ac-
o space dimensionali y (by emo ing edundan a iables) we pe o med mul iple pai wise
es s o Spea man ank-o de co ela ion. Signi ican dependency obse ed be ween pH and
P allowed us o emo e he la e om ou ea u e se .
The abundances o OTUs we e compa ed be ween samples by calcula ing he median ela-
i e change alues o all g oups o iplica es. A posi i e median indica ed an inc ease in
Soil P oka yo ic Communi ies o Fa ming Sys ems
PLOS ONE | DOI:10.1371/jou nal.pone.0145072 Decembe 18, 2015 5/16

abundance, whe eas a nega i e median was aken as e idence o decline o abundance. A basic
pe mu a ion es was used o in e signi icance, whe eas a jackkni e-like esampling app oach
was applied o es he s abili y o median es ima es.
Resul s
Land use e ec s on edaphic soil p ope ies
The ag ochemical p ope ies o c opland soils managed acco ding o he wo di e en a ming
sys ems we e a he simila , bu di e ed om he woodland soil despi e o he simila soil ype
(Table 2). The woodland soil had he highes con en o o ganic ma e and C/N index, whe eas
he lowes C/N alue was obse ed in CFS. Soil pH was lowes in he woodland. As o he
main biogenic elemen s, woodland soil was ich in sul u and manganese, while he c oplands
we e highe in magnesium, calcium and phospho us (Table 2).
Rela i e quan i ies o bac e ia and a chaea es ima ed by qPCR
The amoun s o he bac e ial and a chaeal biomass es ima ed by qPCR we e exp essed as he
copy numbe o RNA ope ons pe g am o soil and used o compa ing he ela i e abun-
dances o mic oo ganisms in he soil samples. The copy numbe o ibosomal ope ons in he
genomes o mic oo ganisms a ies and is, in a e age, 4.09 o bac e ia and 1.76 o a chaea
acco ding o he nDB da abase [36]. The expe imen al da a on he a e age copy numbe s o
E.coli and H.salina um RNA ope ons in soil samples we e used o calcula e he abundance o
bac e ial and a chaeal communi ies, espec i ely. The a e age numbe o bac e ia in soil was
8.37·10
8
o CFS, 1.56·10
9
o OFS and 2.19·10
9
o woodland (Fig 1). A chaea we e abou h ee
olds o magni ude less abundan and hei a e age numbe s we e 8.15·10
5
o CFS, 2.41·10
6
o OFS, and 1.37·10
7
o woodland (Fig 1). These esul s showed ha he popula ion densi ies
o bac e ia and a chaea we e lowes in CFS and highes in woodland (p<0.05). This endency
was pa icula ly no iceable o a chaea, whose numbe s in he woodland we e 2 o de s o mag-
ni ude highe han in he c oplands. The numbe o bac e ia in OFS was signi ican ly highe
han in CFS (p <0.05), whe eas he o al coun s o a chaea did no a y be ween CFS and OFS
(Fig 1).
α-biodi e si y o he soil mic obial communi ies
The biodi e si y wi hin each indi idual sample was es ima ed using ichness (numbe o
obse ed species, Chao1) and e enness (Shannon e enness, Simpson) indices (Table 3).
Woodland samples had he highes pe cen o co e age ( he numbe o OTUs o chao1 a io
exp essed as a pe cen age) pe lib a y (82.7% in a e age). The co e age alues o OFS and
CFS samples we e 65.1% and 65.8%, espec i ely. The obse ed species ichness and Simpson
index o dominance we e no signi ican ly di e en be ween he samples (Table 3).
Mic obial communi y composi ion
A he phylum le el he e we e 22 majo bac e ial axa p esen in mos o he soils P o eobac-
e ia (57.9% in a e age), Acidobac e ia (16,1%), Ac inobac e ia (7,9%), Ve ucomic obia
(2,0%), Bac e oide es (2,7%) and Fi micu es (4,8%). The phyla wi h ela i e abundance less
han 1% we e conside ed a e. They included C ena chaeo a,A ma imonade es, BHI80-139,
Chlamydiae,Elusimic obia,Fib obac e es, GAL15, Ni ospi ae, TM6, TM7 and WPS-2. Some
phyla, such as Fib obac e es, BHI80-139, TM6 and TM7, we e ound only in c oplands. The
po ion o o ganisms wi h unknown axonomy anged om 0.6 o 2.1% and was he highes in
CFS.
Soil P oka yo ic Communi ies o Fa ming Sys ems
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A he phylum le el, only mino di e ences we e ound be ween he bac e ial communi ies
o CFS and OFS, whe eas he di e ences be ween woodland soil and c oplands we e mo e
appa en (Fig 2). P o eobac e ia we e among he mos abundan phyla in c oplands, whe eas
Acidobac e ia domina ed in he woodland soil (Fig 2). In gene al, di e en mic obial axa in
woodland soil we e mo e e enly ep esen ed, including Fi micu es,Ac inobac e ia,Ni ospi a,
Gemma imonade es and Chlo o lexi.
The mic obiomes o c oplands and woodland soils di e ed ma kedly in he composi ion o
P o eobac e ia (Fig 2). Woodland soil was domina ed by Alphap o eobac e ia and Gammap o-
eobac e ia, while in c oplands Be ap o eobac e ia and Gammap o eobac e ia we e subs i u ing
Alphap o eobac e ia. Bac e ia om he amilies Pseudomonadaceae and En e obac e iaceae
accoun ed o mo e han 80% o he gammap o eobac e ia. The amily Pseudomonadaceae was
almos exclusi ely ep esen ed by he genus Pseudomonas (Fig 3). The abundance o bac e ia
o his genus a ied be ween he c oplands (16.0% in CFS and 13.2% in OFS). In he woodland
soil he numbe o pseudomonads was only 5.3%. On he o he hand, he p o eobac e ial amily
Sinobac e iaceae coun ed o mo e han 7.2% in he woodland soil, as compa ed wi h only
1.7% in OFS and CFS. Simila ly, be ap o eobac e ia o he genus Bu kholde ia and alphap o-
eobac e ia o he amily B ady hizobiaceae and he genus Rhodoplanes we e subs an ially
mo e common in he woodland soil han in c opland soils (Fig 4). Among he mos no able di -
e ences in he mic obial axonomic composi ion be ween woodland and c oplands was he
much highe p e alence o he phylum Acidobac e ia in woodland, in pa icula , bac e ia o he
Fig 1. The numbe o bac e ia and a chaea pe g am o soil, es ima ed by quan i a i e PCR. The aw
da a on he numbe o 16S RNA genes pe g am o soil, calib a ed o he E.coli and H.salina um 16S DNA
copy numbe , we e ansla ed o he numbe o p oka yo ic cells pe g am o soil by use o he in o ma ion on
he a e age numbe o 16S RNA copies in bac e ial and a chaeal genomes deposi ed in nDB da abase
[36]. E o ba s indica e s anda d de ia ion (n = 3).
doi:10.1371/jou nal.pone.0145072.g001
Table 3. Alpha-di e si y pa ame e s o soil mic obiomes.
Sample ID Fa ming sys em
a
CFS OFS WOOD
PD_whole_ ee 30,25±0,87 32,39±0,87 22,24±0,57
Shannon 6,58±0,19 6,83±0,19 6,72±0,08
Simpson 0,96±0,01 0,97±0,01 0,98±0
Chao1
b
406,53±39,8 450,97±39,8 264,57±9,05
Numbe o OTUs 267,33±11,67 293,67±11,67 218,67±3,71
Shannon e enness
b
0,82±0,02 0,83±0,02 0,86±0,01
a
CFS, con en ional a ming sys em; OFS, o ganic a ming sys em; WOOD, woodland.
b
The alpha-di e si y pa ame e s indica ed significan di e ences (p <0,05).
doi:10.1371/jou nal.pone.0145072. 003
Soil P oka yo ic Communi ies o Fa ming Sys ems
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amily Ko ibac e aceae (mainly Candida us Ko ibac e , Figs 3and 4), he o de Ellin6513 and
Solibac e ales (Fig 4).
The main bac e ial gene a ound in soil mic obiomes a e shown in Fig 3. The mos p o-
nounced di e ences be ween he CFS and OFS mic obiomes we e wi hin he genus Pseudomo-
nas, which we e signi ican ly (p<0,05) mo e abundan in CFS soil, as compa ed wi h OFS.
O he s a is ically signi ican (p<0,05) di e ences in he axonomic composi ion be ween CFS
and OFS mic obiomes we e mino and ound among he bac e ial gene a wi h equencies
a ely exceeding 1% o all axa. Compa ed wi h OFS, CFS had highe ela i e abundances o
he ac inobac e ia belonging o he amily Nakamu ellaceae, acidobac e ia o he amily
Fig 2. Abundance a ios o he mos common bac e ial phyla in he soil in o ganic (OFS) s.
con en ional (CFS) a ming sys ems, and he woodland s. a mland sys ems (wood s. FS; FS
combines OFS and CFS samples). Ci cle size indica es he a e age abundance o he phylum.
doi:10.1371/jou nal.pone.0145072.g002
Fig 3. Hea map compa ison o he mic obiomes in c oplands (CFS and OFS) and he woodland. Colo s
ma k he a e age ela i e abundance (in numbe o sequences pe sample) o each bac e ial genus wi hin
he sample. Only iden i ied gene a wi h o al coun s exceeding 5 sequences pe lib a y a e p esen ed.
doi:10.1371/jou nal.pone.0145072.g003
Soil P oka yo ic Communi ies o Fa ming Sys ems
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Ko ibac e aceae, p o eobac e ia o he g oups SC-I-84, Ellin6067, Oxalobac e iaceae (pa icu-
la ly he genus Jan hinobac e ium) and Rals onia and bac e ia, belonging o he gene a Paeni-
bacillus and Pedobac e . Mic obial communi y in OFS was en iched wi h p o eobac e ia o he
Fig 4. OTUs analyzed in a boo s apped maximum likelihood phylogene ic ee and hei abundance p esen ed in a able. Pai wise es s indica ed
ei he an inc ease (+) o a dec ease (–) in abundance be ween samples o he o ganic a ming sys em (OFS), he con en ional a ming sys em (CFS) and he
woodland (Wood). Blank cells indica e insu icien da a. The signi icance o di e ence was assessed using a pe mu a ion es , INS indica es insigni ican
di e ence.
doi:10.1371/jou nal.pone.0145072.g004
Soil P oka yo ic Communi ies o Fa ming Sys ems
PLOS ONE | DOI:10.1371/jou nal.pone.0145072 Decembe 18, 2015 9/16
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ional Jou nal o En i onmen al Sciences. 2013; 4(1): 28–41.
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