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

Pershina, Elizaveta,Valkonen, Jari,Kurki, Päivi,Ivanova, Ekaterina,Chirak, Evgeny,Korvigo, Ilia,Provorov, Nykolay,Andronov, Evgeny

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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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 PLOS ONE | DOI:10.1371/jou nal.pone.0145072 Decembe 18, 2015 6/16 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 PLOS ONE | DOI:10.1371/jou nal.pone.0145072 Decembe 18, 2015 7/16 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 PLOS ONE | DOI:10.1371/jou nal.pone.0145072 Decembe 18, 2015 8/16 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 50. Sudhaka an M, Ramamoo hy D, Rajesh kuma S. Impac s o con en ional, sus ainable and o ganic a ming sys em on soil mic obial popula ion and soil biochemical p ope ies, Puduche y, India. In e na- ional Jou nal o En i onmen al Sciences. 2013; 4(1): 28–41. 51. Laws MT, G a es WR. Ni ogen inhibi s nodula ion and e e sibly supp esses ni ogen ixa ion in nod- ules o Alnus ma i ime J. Ame . Soc. Ho . Sci. 2005; 130(4): 496–499. 52. Lomba d N, P es a E, an Elsas JD, Simone P. Soil-speci ic limi a ions o access and analysis o soil mic obial communi ies by me agenomics. FEMS Mic obiol Ecol. 2011; 78(1): 31–49. doi: 10.1111/j. 1574-6941.2011.01140.x PMID: 21631545 Soil P oka yo ic Communi ies o Fa ming Sys ems PLOS ONE | DOI:10.1371/jou nal.pone.0145072 Decembe 18, 2015 16 / 16