scieee Science in your language
[en] (orig)

Impact of process temperature and organic loading rate on cellulolytic/hydrolytic biofilm microbiomes during biomethanation of ryegrass silage revealed by genome-centered metagenomics and metatranscriptomics

Abstract

Background: Anaerobic digestion (AD) of protein-rich grass silage was performed in experimental two-stage twophase biogas reactor systems at low vs. increased organic loading rates (OLRs) under mesophilic (37 °C) and thermophilic (55 °C) temperatures. To follow the adaptive response of the biomass-attached cellulolytic/hydrolytic biofilms at increasing ammonium/ammonia contents, genome-centered metagenomics and transcriptional profiling based on metagenome assembled genomes (MAGs) were conducted. Results: In total, 78 bacterial and archaeal MAGs representing the most abundant members of the communities, and featuring defined quality criteria were selected and characterized in detail. Determination of MAG abundances under the tested conditions by mapping of the obtained metagenome sequence reads to the MAGs revealed that MAG abundance profiles were mainly shaped by the temperature but also by the OLR. However, the OLR effect was more pronounced for the mesophilic systems as compared to the thermophilic ones. In contrast, metatranscriptome mapping to MAGs subsequently normalized to MAG abundances showed that under thermophilic conditions, MAGs respond to increased OLRs by shifting their transcriptional activities mainly without adjusting their proliferation rates. This is a clear difference compared to the behavior of the microbiome under mesophilic conditions. Here, the response to increased OLRs involved adjusting of proliferation rates and corresponding transcriptional activities. The analysis led to the identification of MAGs positively responding to increased OLRs. The most outstanding MAGs in this regard, obviously well adapted to higher OLRs and/or associated conditions, were assigned to the order Clostridiales (Acetivibrio sp.) for the mesophilic biofilm and the orders Bacteroidales (Prevotella sp. and an unknown species), Lachnospirales (Herbinix sp. and Kineothrix sp.) and Clostridiales (Clostridium sp.) for the thermophilic biofilm. Genome-based metabolic reconstruction and transcriptional profiling revealed that positively responding MAGs mainly are involved in hydrolysis of grass silage, acidogenesis and / or acetogenesis. Conclusions: An integrated -omics approach enabled the identification of new AD biofilm keystone species featuring outstanding performance under stress conditions such as increased OLRs. Genome-based knowledge on the metabolic potential and transcriptional activity of responsive microbiome members will contribute to the development of improved microbiological AD management strategies for biomethanation of renewable biomass. Keywords: Metagenome assembled genomes, Integrated -omics, Polyomics, Anaerobic digestion, Biogas, Bioconversion, Microbial community structure, Methane, Metabolic activity

Read accessible full text

Impact of process temperature and organic loading rate on cellulolytic/hydrolytic biofilm microbiomes during biomethanation of ryegrass silage revealed by genome-centered metagenomics and metatranscriptomics

Author: Maus, Irena,Klocke, Michael,Derenkó, Jaqueline,Stolze, Yvonne,Beckstette, Michael,Jost, Carsten,Wibberg, Daniel,Blom, Jochen,Henke, Christian,Willenbücher, Katharina,Rumming, Madis,Rademacher, Antje,Pühler, Alfred,Sczyrba, Alexander,Schlüter, Andreas
Publisher: BMC
Year: 2020
DOI: 10.1186/s40793-020-00354-x
Source: https://repository.helmholtz-hzi.de/bitstream/10033/622632/1/Maus%20et%20al.pdf
RESEARCH ARTICLE Open Access
Impac o p ocess empe a u e and o ganic
loading a e on celluloly ic / hyd oly ic
bio ilm mic obiomes du ing
biome hana ion o yeg ass silage e ealed
by genome-cen e ed me agenomics and
me a ansc ip omics
I ena Maus
1†
, Michael Klocke
2†
, Jaqueline De enkó
2
, Y onne S olze
1
, Michael Becks e e
3
, Ca s en Jos
2
,
Daniel Wibbe g
1
, Jochen Blom
4
, Ch is ian Henke
5
, Ka ha ina Willenbüche
2
, Madis Rumming
5
, An je Rademache
2
,
Al ed Pühle
1
, Alexande Sczy ba
1,5†
and And eas Schlü e
1*†
Abs ac
Backg ound: Anae obic diges ion (AD) o p o ein- ich g ass silage was pe o med in expe imen al wo-s age wo-
phase biogas eac o sys ems a low s. inc eased o ganic loading a es (OLRs) unde mesophilic (37 °C) and
he mophilic (55 °C) empe a u es. To ollow he adap i e esponse o he biomass-a ached celluloly ic/hyd oly ic
bio ilms a inc easing ammonium/ammonia con en s, genome-cen e ed me agenomics and ansc ip ional p o iling
based on me agenome assembled genomes (MAGs) we e conduc ed.
(Con inued on nex page)
© The Au ho (s). 2020 Open Access This a icle is dis ibu ed unde he e ms o he C ea i e Commons A ibu ion 4.0
In e na ional License (h p://c ea i ecommons.o g/licenses/by/4.0/), which pe mi s un es ic ed use, dis ibu ion, and
ep oduc ion in any medium, p o ided you gi e app op ia e c edi o he o iginal au ho (s) and he sou ce, p o ide a link o
he C ea i e Commons license, and indica e i changes we e made. The C ea i e Commons Public Domain Dedica ion wai e
(h p://c ea i ecommons.o g/publicdomain/ze o/1.0/) applies o he da a made a ailable in his a icle, unless o he wise s a ed.
* Co espondence: aschlue @cebi ec.uni-biele eld.de
†
I.M. and M.K. con ibu ed equally o his wo k.
†
A.Scz. and A.Schl. con ibu ed equally o his wo k.
1
Biele eld Uni e si y, Cen e o Bio echnology (CeBiTec), Genome Resea ch
o Indus ial Mic oo ganisms, Uni e si ä ss . 27, 33615 Biele eld, Ge many
Full lis o au ho in o ma ion is a ailable a he end o he a icle
En i
o
nm
e
n
a
l Mi
c
ob
i
o
m
e
Maus e al. En i onmen al Mic obiome (2020) 15:7
h ps://doi.o g/10.1186/s40793-020-00354-x
(Con inued om p e ious page)
Resul s: In o al, 78 bac e ial and a chaeal MAGs ep esen ing he mos abundan membe s o he communi ies,
and ea u ing de ined quali y c i e ia we e selec ed and cha ac e ized in de ail. De e mina ion o MAG abundances
unde he es ed condi ions by mapping o he ob ained me agenome sequence eads o he MAGs e ealed ha
MAG abundance p o iles we e mainly shaped by he empe a u e bu also by he OLR. Howe e , he OLR e ec
was mo e p onounced o he mesophilic sys ems as compa ed o he he mophilic ones. In con as ,
me a ansc ip ome mapping o MAGs subsequen ly no malized o MAG abundances showed ha unde
he mophilic condi ions, MAGs espond o inc eased OLRs by shi ing hei ansc ip ional ac i i ies mainly wi hou
adjus ing hei p oli e a ion a es. This is a clea di e ence compa ed o he beha io o he mic obiome unde
mesophilic condi ions. He e, he esponse o inc eased OLRs in ol ed adjus ing o p oli e a ion a es and
co esponding ansc ip ional ac i i ies. The analysis led o he iden i ica ion o MAGs posi i ely esponding o
inc eased OLRs. The mos ou s anding MAGs in his ega d, ob iously well adap ed o highe OLRs and/o
associa ed condi ions, we e assigned o he o de Clos idiales(Ace i ib io sp.) o he mesophilic bio ilm and he
o de s Bac e oidales (P e o ella sp. and an unknown species), Lachnospi ales (He binix sp. and Kineo h ix sp.) and
Clos idiales (Clos idium sp.) o he he mophilic bio ilm. Genome-based me abolic econs uc ion and
ansc ip ional p o iling e ealed ha posi i ely esponding MAGs mainly a e in ol ed in hyd olysis o g ass silage,
acidogenesis and / o ace ogenesis.
Conclusions: An in eg a ed -omics app oach enabled he iden i ica ion o new AD bio ilm keys one species
ea u ing ou s anding pe o mance unde s ess condi ions such as inc eased OLRs. Genome-based knowledge on
he me abolic po en ial and ansc ip ional ac i i y o esponsi e mic obiome membe s will con ibu e o he
de elopmen o imp o ed mic obiological AD managemen s a egies o biome hana ion o enewable biomass.
Keywo ds: Me agenome assembled genomes, In eg a ed -omics, Polyomics, Anae obic diges ion, Biogas,
Biocon e sion, Mic obial communi y s uc u e, Me hane, Me abolic ac i i y
Backg ound
Impo an pa o bioeconomical s a egies o sus ain-
able and ca bon dioxide (CO
2
) - neu al ene gy p oduc-
ion is he anae obic diges ion (AD) and biome hana ion
o enewable aw ma e ials. Beside manu e and slu ies
om ag icul u al husband y, also ag icul u ally p oduced
biomass such as maize silage (‘ene gy c ops’) o ma e ial
om landscape managemen we e u ilized [1,2].
C op biomass is ich in long-chained ca bohyd a es such
as cellulose, hemicellulose, and xylan and addi ionally con-
ains conside able amoun s o p o eins depending on he
pa icula c op. To diges c op biomass as sole subs a e and
a high o ganic loading a es (OLRs), specially designed bio-
gas eac o s a e ad an ageous such as s aged deg ada ion
s ep (‘phase’) sepa a ed eac o sys ems consis ing o a cellu-
lolysis / hyd olysis e men e and a downs eam me hano-
genesis eac o . Compa ed o single phase eac o s, hese
wo-s age wo-phase eac o s possess se e al ad an ages, o
example, he mo e s able ope a ion (unde pa icula p ocess
condi ions) combined wi h highe bioene gy yields [2–6].
The deg ada ion o high-molecula compounds e-
qui es he di ec access o mic obial specialis s. Acco d-
ingly, c op biomass is colonized by a celluloly ic bio ilm
which composi ion a ies wi h he abio ic en i onmen al
condi ions, as example, he p ocess empe a u e, bu
also elies on he physico-chemical cha ac e is ics o
c op ma e ial and p ocess liquids [7]. Once he bio ilm
is es ablished, i unc ions as a coope a i e conso ium
leading o enhanced biomass deg ada ion and, in conse-
quence, o biogas p oduc ion [8,9].
Comp ehensi e mic obiome analyses by means o me a-
genome sequencing e ealed ha many biogas mic o-
biome membe s could no be classi ied down o he
species le el and hence a e cu en ly unknown (‘mic obial
da k ma e ’)[10,11]. As example published p e iously, in
he me agenome da ase de e mined o a biogas plan op-
e a ed unde he mophilic empe a u e egime, only 18%
o he included 16S RNA gene sequences we e assignable
o a axonomically es ablished genus [10]. In addi ion, in-
o ma ion on he me abolic ac i i y o biogas bio ilm mi-
c obial communi ies is only udimen a ily a ailable. Mos
o he co esponding s udies ocus on he me hanogenic
sub-communi y, while he me abolic po en ial o he en-
i e biogas bio ilm mic obiome emains poo ly cha ac e -
ized [12,13]. Fo his p opose, he in eg a ion o di e en
-omics app oaches (in eg a ed o poly-omics), as example,
he combina ion o me agenome wi h me a ansc ip ome
da ase s, is indispensable o dis inguish be ween me abol-
ically ac i e and less ac i e mic obial species. Genome-
cen e ed biogas mic obiome analyses al eady disclosed
and p ospec i ely will disclose u he unc ionali ies and
in e ac ions o keys one mic obiome membe s [14–21].
The deg ada ion o plan biomass by hyd oly ic enzymes
o su ace a ached celluloly ic and hyd oly ic bac e ia and
he subsequen seconda y e men a ion s ill ep esen bo -
lenecks in he enginee ed op imiza ion o biogas p ocesses.
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 2 o 21
Fo economically op imal AD p ocess ope a ion, celluloly ic
/ hyd oly ic bio ilms adap ed o maximal OLRs and, wi h
special espec o he e men a ion o subs a es wi h high
con en s o ni ogen-con aining compounds such as p o-
eins and pep ides (e.g., g ass silage), mic obiomes ea u ing
ole ance o high ammonium / ammonia con en s a e es-
sen ially equi ed. I was hypo hesized ha such bio ilm
membe s, in pa icula unc ional keys one species, will
become ecognizable by hei inc easing abundances and
ansc ip ional ac i i ies unde demanding p ocess
condi ions.
To un a el he s uc u e, unc ionali y, and me abolic ac-
i i y o such celluloly ic / hyd oly ic bio ilm mic obiomes,
in his s udy, an in eg a ed -omics app oach was applied
consis ing o pa allel mic obial me agenome and me a an-
sc ip ome analyses. To ob ain di ec access o hese mic o-
biomes, bio ilm samples g own on he su ace o yeg ass
silage diges ed in he hyd olysis eac o s (HR) o wo-s age
wo-phase biogas eac o sys ems (Fig. 1)ope a edunde
mesophilic (37 °C) and he mophilic (55 °C) empe a u e e-
gime and a wo (low and inc eased) OLRs we e analyzed.
Me abolic econs uc ion o candida e me agenome-
assembled genomes (MAGs) and co esponding genome-
cen e ed ansc ip ome analyses p o ided insigh s in o li e-
s yles and ac i i ies o adap ed species.
Resul s
Biogas eac o pe o mance and long- e m mic obial
dynamics
Fou biogas eac o sys ems we e ope a ed in pa allel
o e a pe iod o longe han 750 days esul ing in wo
(biological) eplica es o mesophilic (M1, M2) and wo
eplica es o he mophilic condi ions (T1, T2) (Fig. 1).
Sampling o subs a e su ace a ached bio ilms was con-
duc ed o wo di e en OLRs, i.e., 500 g (low OLR) and
1500 g (inc eased OLR) o pe ennial yeg ass silage.
The summa ized a e age biogas yields om hyd oly ic
eac o s (HR) and anae obic il e s (AF) we e cons an ly
601 ± 18 l no malized o s anda d empe a u e and
p essu e (L
N
) pe kg ola ile subs ances (VS) (M1) and
599 ± 26 L
N
kg
VS
−1
(M2) o he eac o sys ems ope -
a ed unde mesophilic empe a u e egime wi h an a e -
age me hane con en o 56 ± 2% ( / ) (Fig. 2). Unde he
he mophilic empe a u e egime, he summa ized sys-
ems’biogas yields we e sligh ly highe wi h a e age
alues o 645 ± 27 L
N
kg
VS
−1
(T1) and 644 ± 19 L
N
kg
VS
−1
(T2) wi h a sligh ly lowe a e age me hane con-
en o 54 ± 2% ( / ) each. The a e age me hane yields
anged om 337 ± 20 L
N
kg
VS
−1
(M2) o 348 ± 19 L
N
kg
VS
−1
(T2) which is less han 5% lowe han he e e -
ence alue o , on a e age, 353 L
N
kg
VS
−1
as de e mined
by s anda d ba ch e men a ion es s acco ding o he
Ge man echnical s anda d VDI 4630. E en i , in gen-
e al, he me hane con en in he biogas was highe in
he AF han in he HR (mesophilic, 71 ± 3% s. 51 ± 2%;
he mophilic, 70 ± 2% s. 50 ± 2%), mos o he biogas
and me hane was p oduced in he HR (mesophilic, 74 ±
6% and 67 ± 6% on a e age; he mophilic, 79 ± 4% o
81 ± 4% and 73 ± 4% o 76 ± 4% depending on he e-
spec i e p ocess s a us).
The main p oduc o bac e ial e men a ion in he HR
was ace ic acid. Highes concen a ions we e de e mined
o e men a ion day 2 wi h alues anging om 0.80 g L
−1
Fig. 1 Flow scheme (a) and pic u e (b) o he wo-s age wo-phase biogas eac o sys em
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 3 o 21
(s a -up phase) o 5.30 g L
−1
(OLR 1500 g silage) and
unde he he mophilic condi ions, om 0.91 g L
−1
(s a -
up phase) o 4.21 g L
−1
(OLR 1500 g silage). P opionic acid
was p oduced only in mino amoun s o up o 0.58 g L
−1
(mesophilic) and 0.43 g L
−1
( he mophilic). The ola ile
a y acids (VFA) accumula ion h oughou he ongoing e -
men a ion p ocess was no obse ed.
Due o he ni ogen con en o he silage o 7.6 g kg
FM
−1
,a
NH
4+
accumula ion o up o 2.3 g L
−1
(mesophilic) and 2.7 g
L
−1
( he mophilic) was obse ed in he p ocess luids du ing
he e men a ion and wi hin he en i e biogas eac o sys em
(Fig. 2). In con as o he e men a ions a mesophilic em-
pe a u es, unde he mophilic empe a u e egime also an
accumula ion o cy o oxic NH
3
o up o 1.3 g L
−1
occu ed.
Fig. 2 Biogas and me hane yields, and NH
4+
- and NH
3
-con en s in he biogas eac o e luen s. Bac e ial 16S RNA gene a ge ing TRFLP analyses
esul s a e shown exempla y o di e en ime poin s a di e en p ocess condi ions. Do ed lines indica e ime poin s o sampling o NGS. ▲,△,
hyd olysis eac o (HR) o eac o sys em M1 (mesophil) esp. T1 ( he mophil);▼,▽, downs eam AF o eac o sys em M1 (mesophil) esp. T1
( he mophil); ■,□, HR o eac o sys em M2 (mesophil) esp. T2 ( he mophil); ◆,◇, AF o eac o sys em M2 (mesophil) esp. T2 ( he mophil); L
N
,
li e s no malized o 0 °C and 1013 hPa; VS, ola ile subs ances; OLR, o ganic loading a e
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 4 o 21
As e ealed by bac e ial 16S RNA gene a ge ing
TRFLP analysis, he bac e ial communi y s uc u e had
adap ed du ing he ongoing biome hana ion expe imen
(Fig. 2). I is assumed ha adap a ion o he communi y
p ima ily occu ed as esponse o he inc ease in OLR.
Likewise, also he inc ease in NH
4+
concen a ions and,
in pa icula du ing he he mophilic e men a ions, he
inc ease in NH
3
concen a ions may had a ec ed he
communi y composi ion.
Celluloly ic / hyd oly ic bio ilm communi y s uc u e
To cha ac e ize he s uc u e o he bac e ial bio ilms
es ablished on he su ace o yeg ass silage diges a e in
he mesophilic and he mophilic HRs, nex gene a ion
sequencing (NGS) o he 16S RNA gene was pe o med.
Due o he used p ime se s, p ima ily 16S RNA genes
o he domain Bac e ia we e de ec ed. 16S RNA gene
sequences o me hanogenic A chaea we e only de ec ed
o mesophilic bio ilm samples (in maximum, wi h
an abundance o 1.2% in case o he HR bio ilm sample
M1
OLR1500
) and assigned o genus Me hanosae a, i.e.,
Me hano h ix.
O e all, 66% o he 16S RNA gene sequences we e
classi ied in o ope a ional axonomic uni s (OTUs) ha
could be assigned o known gene a. 34% emained un-
assigned a genus ank (Addi ional ile 1). In gene al, he
he mophilic bio ilms exhibi ed a sligh ly lowe di e si y
han he mesophilic bio ilms (Shannon indices in a e -
age 2.9 s. 3.2).
In hemesophilicbio ilms,anumbe o gene awe e
exclusi ely de ec ed belonging o he classes Clos-
idia (i.e., Cellulosily icum,Lachnospi a,Anae ospo o-
bac e ,Bu y i ib io,andEpulopiscium), Bac e oidia
(i.e., Bac e oides,andPe imonas), Tissie ellia (i.e.,
Sedimen ibac e )(Fig.3, Addi ional ile 2). In gene al,
he abundance o pa icula OTUs a ied be ween he
biological eplica es and OLRs indica ing a ying
mic obiome s uc u e.
Fig. 3 Taxonomic p o iling o he hyd olysis eac o (HR) bio ilm mic obiome. Rela i e abundances a e shown o he mos abundan gene a o
mic obial sub-communi ies as de e mined by 16S RNA gene amplicon NGS. M1, M2, mesophilic eplica es; T1, T2, he mophilic eplica es;
OLR500, OLR1500, o ganic loading a es o 500 o 1500 g yeg ass silage. Fo u he de ails on sample denomina ion, e e o Fig. 2
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 5 o 21

In he he mophilic bio ilms, membe s o he gene a
Ruminiclos idium and Halocella (phylum Fi micu es,
class Clos idia), and Tepidimic obium (class Tissie ellia)
we e ound, which we e no o only de ec ed in mino
amoun s in he mesophilic bio ilms. Also in hese bio-
ilms, he abundance o OTUs a ied be ween biological
eplica es and OLRs. Some gene a we e p esen in all
bio ilms, such as Ruminococcus,De lu ii alea, and Mobi-
li alea (class Clos idia), bu all showing subs an ial
di e ences in abundance in mesophilic and he mophilic
bio ilms (Fig. 3, Addi ional ile 2).
Unde mesophilic empe a u e egime, he inc ease in
OLR had a posi i e e ec on he abundance o some
membe s, e.g., o he gene a P o einiphilum (OLR 500 g:
0.7 esp. 0.4% s. OLR 1500 g: 3.7 esp. 1.3%) and De lu-
ii alea (OLR 500 g: 0.1 esp. 0.9% s. OLR 1500 g: 1.8
esp. 4.8%). O he bio ilm membe s dec eased in abun-
dance a e inc ease o OLR, such as membe s o gene a
Anae ospo obac e (OLR 500 g: 5.0 esp. 6.0% s. OLR
1500 g: 0.8 esp. 0.9%) and Cellulosily icum (OLR 500 g:
15.2 esp. 12.4% s. OLR 1500 g: 7.8 esp. 5.7%) (Add-
i ional ile 2).
A he mophilic empe a u es, only he genus Mobili-
alea bene i ed om he inc eased OLR (OLR 500 g: 8.8
esp. 9.6% s. OLR 1500 g: 17.2 esp. 11.9%) (Addi ional
ile 2). All o he gene a emained a mo e o less simila
abundances. Thus, i can be assumed ha Mobili alea
species a e mo e ole an owa ds inc eased NH
3
con-
cen a ions compa ed o o he species.
MAG abundance in he celluloly ic/hyd oly ic bio ilms
depending on he empe a u e and he OLR
To de e mine and cha ac e ize di e en ial abundances
o species ep esen ed by me agenomically assembled
genomes (MAGs) in he celluloly ic/hyd oly ic bio ilms
es ablished on he su ace o yeg ass silage, mic obial
me agenome sequencing ollowed by a combined assem-
bly o sequence da a and genome binning we e applied
(Addi ional ile 3). In o al, 157 MAGs we e compiled
and axonomically classi ied (Addi ional ile 4). 74
MAGs we e assigned o he domain Bac e ia, i e MAGs
o A chaea, and 78 emained unclassi ied a domain
le el. A he phylum le el, he MAGs we e alloca ed o
he Fi micu es (55), Bac e oido a (12), Eu ya chaeo a
(5), Spi ochae o a (2), Fib obac e o a (1), and Cloacimo-
nado a (1). A he amily le el, only 53 MAGs we e clas-
si iable among o he s o he Lachnospi aceae (19),
Bac e oidaceae (4), Ruminoclos idiaceae (3), Clos idia-
ceae (3), indica ing occu ence o so a unknown
mic obial species and/o insu icien ep esen a ion o
adequa e e e ence genomes in da abases ha a e a ail-
able o compa a i e analyses.
To unco e he ela i e abundances o he compiled
MAGs in he HRs analyzed, me agenome sequences
ob ained om he mesophilic and he mophilic mic o-
bial communi ies we e mapped on o he MAG se-
quences. Only 78 MAGs ea u ing con amina ion a es
below 10% we e conside ed o his app oach. Deepe
me agenome sequencing would ce ainly ha e imp o ed
he comple eness and numbe o compiled MAGs. How-
e e , sequencing dep h always is a ade-o be ween in-
cu ed cos s and expec ed esul s.
P incipal componen (PCA) analysis o MAG abun-
dance p o iles e ealed close clus e ing o eplica es con-
i ming ep oducibili y o he ea men s ca ied ou
(Fig. 4a). Mo eo e , empe a u es (mesophilic s.
he mophilic) led o a clea sepa a ion o MAG abun-
dance p o iles in he PC plo s. Likewise, he OLRs
(OLR500 s. OLR1500) di e en ia e MAG abundances.
Howe e , his e ec is a mo e p onounced o he
mesophilic sys ems as compa ed o he he mophilic
ones (Fig. 4a).
MAG abundance p o iles a e isualized o all condi-
ions es ed ( wo empe a u es and wo OLRs in epli-
ca es) in hea -maps o he 78 MAGs es ed (Fig. 4b).
Clus e analysis e ealed ha he empe a u e is he
mos impo an ac o ha d i es shaping o he com-
muni y ollowed by he OLR. Replica es a e e y simila
o each o he ega ding MAG abundance p o iles unde
he condi ions es ed.
Rela i e abundances o he ollowing MAGs signi i-
can ly inc eased (log
2
old-change o > 2 and –log
10
(p-
alue) o > 0.05) unde mesophilic condi ions when he
OLR was aised o 1500 g: MAG 13, 40, 48, 84, 85, 107,
109, 111, 132, 145 and 146 as shown by olcano plo
analysis (Fig. 4c). Rela i e abundances o se e al mo e
MAGs dec eased unde high OLRs. Unde he mophilic
condi ions, he MAGs 50, 68, 106 and 146 inc eased in
abundance upon OLR aise (Fig. 4d). Responsi e MAGs
ea u ing comple eness alue o mo e han 50% and con-
amina ion less han 10% we e u he analyzed ega ding
hei gene ic po en ial and ansc ip ional ac i i y. These
a e MAGs 40, 50, 85, 107, 109, 111 and 145 (see below).
Func ional po en ial o MAGs posi i ely esponding o
inc eased OLR
To gain insigh s in o he unc ional po en ial o MAGs
posi i ely esponding o inc eased OLRs, gene ic de e -
minan s o u iliza ion o ca bohyd a es (Fig. 5) as well
as he key enzymes o AD pa hways we e analyzed (Add-
i ional ile 5). The gene ic de e minan s we e ca ego ized
acco ding o he ou s ages o he AD p ocess, namely
hyd olysis, acidogenesis, ace ogenesis and me hanogen-
esis as desc ibed p e iously [23].
Rega ding he unc ional con ex ‘hyd olysis’, he
gene ic po en ial o u iliza ion o ca bohyd a es was
cha ac e ized in he selec ed bac e ial MAGs. Genes en-
coding ca bohyd a e-ac i e enzymes we e de e mined by
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 6 o 21
applying he HMM-based Ca bohyd a e-ac i e enzyme
anno a ion da abase dbCAN 7 [24] (Fig. 5). Be ween 45
and 236 genes encoding cellulosomal p o eins o en-
zymes wi h p edic ed ac i i ies on ca bohyd a es we e
iden i ied in each o he bac e ial MAGs analyzed.
Ob ained esul s subdi ided he analyzed MAGs in o
wo g oups. G oup I membe s we e p edic ed o en-
code cellulosome s uc u es equi ed o e icien deg-
ada ion o cellulose, comp ising docke in-con aining
glycosyl hyd olases (GHs), co esponding cohesin-
con aining sca oldins, and enzymes ac ing on la ge
ca bohyd a e molecules. Some o he iden i ied en-
zymes con ain ca bohyd a e-binding mo i s. MAG 50
( amily De lu ii aleaceae), MAG 85 (phylum Fi mi-
cu es) and 145 (a ilia ed o he genus Jeo galibaca) ep-
esen g oup I membe s. In gene al, o celluloly ic/
hyd oly ic bio ilms, he MAGs belonging o g oup I a e
o g ea impo ance, since hey ep esen bac e ial can-
dida es ea u ing he po en ial o e icien decompos-
i ion o complex ca bohyd a es such as cellulose,
hemicellulose and xylan.
The emaining MAGs we e classi ied o g oup II ep e-
sen ing seconda y e men a i e bac e ia mainly u ilizing
mono-, di- and oligosaccha ides o ene gy p oduc ion as
supplied by g oup I bac e ia. G oup II comp ises MAGs
lacking genes o p o eins in ol ed in cellulosome
Fig. 4 Al e a ion o abundance o 157 me agenome-assembled genomes (MAGs) de ec ed in HR bio ilms a mesophilic (M) and he mophilic (T)
p ocess empe a u e in esponse o he inc ease o o ganic loading a e (OLR) om 500 o 1500 g yeg ass silage as deduced om me agenome
da a. PCA plo s a e shown o p inciple componen analyses o scaled and cen e ed log ans o med me agenome ead coun s mapped on
MAGs (a). The hie a chical clus e ing o log ans o med abundance alues o 78 (con amina ion below 10%) selec ed MAGs de ec ed in HR
bio ilms is isualized in (b). G een, mesophilic HR bio ilms; blue, he mophilic HR bio ilms. Fo u he de ails on sample denomina ion, e e o
Figs. 2and 3. Al e a ion in abundance alues o 78 MAGs selec ed in esponse o he inc ease o OLR om 500 o 1500 g yeg ass silage a
mesophilic (c) and he mophilic (d) p ocess empe a u e. Colo s o he MAGs indica e axonomic a ilia ion (g een, Fi micu es; blue, Bac e oido a;
iole , A chaea; pink, Cloacimonado a; ligh g een, Fib obac e o a; da k ed, Spi ochae o a; ed, unknown a ilia ion). * indica e MAGs wi h
comple eness abo e 50% and con amina ion a e less han 10% as lis ed in Table 1and in Addi ional ile 4
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 7 o 21
o ma ion and assembly. Howe e , due o he incomple e-
ness o hese MAGs (Table 1), i canno be excluded ha
cellulosome genes we e missed du ing he assembly and
binning p ocesses.
Fu he mo e, gene ic de e minan s encoding key en-
zymes equi ed o u iliza ion o di e en o ganic mole-
cules such as py u a e, lac a e, e hanol, ace a e,
p opiona e and bu y a e ep esen ing impo an me abo-
li es o he acidogenesis and ace ogenesis we e analyzed
in he MAGs selec ed (Addi ional ile 5). As examples,
he bac e ial MAGs 109 (P o einiphilum sp.) and 145
(Jeo galibaca sp.) encode high numbe s o key genes
ea u ing p edic ed unc ions in py u a e me abolism
(be ween 14 and 21), also ep esen ing he KEGG
(map 00620) modules o u iliza ion o lac a e (be ween 5
and 7) and ace a e (8) only in case o he MAG 145. In
MAG 145, essen ial genes encoding enzymes o he Wood-
Ljungdahl pa hway (8) we e iden i ied, which plays an im-
po an ole in ca bon ixa ion and ace a e u iliza ion.
Du ing ace ogenesis, se e al bac e ial species u ilize
p opionic acid employing he me hylmalonyl-CoA o he
ac ylyl-CoA pa hway o he p opanoa e me abolism. The
bac e ial MAGs 109 (P o einiphilum sp.) and 145 (Jeo ga-
libaca sp.) possess se e al genes (be ween 5 and 9) o
enzymes ha we e assigned o he me hylmalonyl-CoA
b anch o he p opanoa e me abolism. Fu he mo e,
MAGs 109 and 145 addi ionally encode he
me hylmalonyl-CoA mu ase Mu (EC 5.4.99.2) and he
me hylmalonyl-CoA/e hylmalonyl-CoA epime ase (EC
5.1.99.1) ep esen ing he key enzymes o his me abol-
ism as desc ibed by Siko e e al. [23]. The e o e, hese
MAGs we e p edic ed o be in ol ed in he p opionic
acid me abolism in he analyzed celluloly ic/hyd oly ic
bio ilms. Mo eo e , MAGs 50, 85, 109 and 145 mos
p obably a e in ol ed in bu anoa e me abolism since
hey possess be ween 2 and 6 o key genes classi ied o
he bu anoa e pa hway (KEGG map00650). The bu a-
noa e pa hway is no comple ely encoded in he MAGs
analyzed. Howe e , genes encoding ele an key en-
zymes desc ibed by Siko a e al. [23] we e iden i ied in
he genomes o hese Bac e ia. The MAG 109 ha bo s a
gene encoding PFL-py u a e o ma e lyase (EC 2.3.1.54),
whe eas MAG 145 possesses he gene encoding bu y a e
kinase (EC 2.7.2.7) indica ing he impo ance o hese
bac e ia o AD a mesophilic empe a u es.
The o ma ion o me hane, he las s ep o AD, is pe -
o med by membe s o he phylum Eu ya chaeo a.In
he analyzed bio ilms, MAG 111 (genus Me hanobac e -
ium sp.) was de ec ed as mos abundan a chaeon posi-
i ely esponding o he inc ease in OLRs. Twen y- wo
genes encoding key enzymes o he hyd ogeno ophic
me hanogenesis pa hway we e iden i ied in his MAG
illus a ing he impo ance o his pa hway unde
inc eased OLRs.
T ansc ip ional ac i i y o MAGs in esponse o
empe a u e and OLR
To de e mine he ansc ip ional ac i i ies o he com-
piled MAGs, he me a ansc ip omes om he di e en
eac o sys ems we e sequenced cap u ing he p e ailing
condi ions ( empe a u e: mesophilic s. he mophilic,
OLRs o 500 g s. 1500 g). Mapping o he ansc ip ome
sequences o each da ase o he assembled con igs
allowed de e mina ion o he MAG’s ansc ip ional ac-
i i ies unde he condi ions es ed.
P incipal componen (PCA) analysis e ealed clea
sepa a ion o he MAG’s ansc ip ional ac i i y pa e ns
in ela ion o he empe a u e (mesophilic and he mo-
philic) and he OLRs 500 g and 1500 g (Fig. 6a). How-
e e , compa ed o he co esponding analysis based on
Fig. 5 Genes encoding ca bohyd a e-ac i e enzymes p edic ed o bac e ial me agenome-assembled genomes (MAGs) mos abundan in
hyd olysis eac o (HR) bio ilms. * These MAGs showed inc eased ansc ip ional ac i i y in esponse o he o ganic loading a e and we e
he e o e addi ionally analyzed
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 8 o 21
Table 1 Taxonomic a ilia ions and cha ac e is ics o selec ed me agenome-assembled genomes (MAGs) mos abundan in HR bio ilms
MAG Taxonomic a ilia ion
1
MAG ea u es
Phylum Class O de Family Genus Comle eness
2
[%]
Con amina ion
2
[%]
Size [bp] GC
con en
[%]
No. o
genes
No. o n
genes
No. o RNA
genes
Bac e ia
13 Fi micu es Unknown Unknown Unknown Unknown 29.74 3.43 1,239,774 44.81 1159 3 31
17* Bac e oide es Bac e oidia Bac e oidales Bac e oidaceae P e o ella sp. 68.02 8.98 2,689,597 48.90 2294 2 39
18* Fi micu es Clos idia Lachnospi ales Lachnospi aceae Ace i ib io sp. 68.50 3.65 2,855,089 39.03 2917 n/d
3
15
40* Fi micu es Clos idia Lachnospi ales Lachnospi aceae He binix sp. 68.42 7.66 1,849,940 36.65 1755 n/d 8
48 Fi micu es Clos idia Lachnospi ales Lachnospi aceae He binix sp. 26.48 2.63 770,644 37.4 614 n/d 3
50 Fi micu es Clos idia Lachnospi ales De lu ii aleaceae Unknown 51.74 6.14 1,725,349 31.02 1775 n/d 31
68 Fi micu es Clos idia Lachnospi ales Lachnospi aceae He binix sp. 52.17 4.77 2,358,488 46.61 2310 2 27
84 Fi micu es Clos idia Lachnospi ales Unknown Unknown 35.22 5.14 1,970,476 38.81 1672 2 17
85 Fi micu es Unknown Unknown Unknown Unknown 80.11 3.08 2,011,311 47.98 2076 n/d 33
106 Fi micu es Clos idia Clos idiales Clos idiaceae Clos idium sp. 33.09 4.39 883,787 31.79 812 n/d 17
107*
Fi micu es Clos idia Clos idiales Clos idiaceae Clos idium sp. 50.06 6.97 1,539,556 29.37 1648 n/d 17
108*
Bac e oide es Bac e oidia Bac e oidales Unknown Unknown 79.01 8.21 2,032,215 47.60 2025 1 29
109 Bac e oide es Bac e oidia Bac e oidales Dysgonomonadaceae P o einiphilum sp. 63.52 7.19 2196,928 45.07 2196 1 27
132 Fi micu es Clos idia Unknown Unknown Unknown 26.26 2.37 1,284,977 37.03 1286 n/d 16
134*
Fi micu es Clos idia Lachnospi ales Lachnospi aceae Kineo h ix sp. 78.46 9.27 2,788,291 40.86 2946 n/d 31
145 Fi micu es Bacilli Lac obacillales Ae ococcaceae Jeo galibaca sp. 63.37 9.48 2,346,037 46.04 2647 n/d 14
146 Fi micu es Bacilli Unknown Unknown Unknown 33.22 0.00 861,844 38.49 705 1 13
A chaea
111 Eu ya chaeo a Me hanobac e ia Me hanobac e iales Me hanobac e iaceae Me hanobac e ium
sp.
73.74 8.57 2,134,563 37.98 2406 2 51
1
GTDB-Tk based classi ica ion
2
Fo de ails, e e o [22] and Addi ional ile 4
3
n/d = no de ec ed
* MAGs which showed inc eased ansc ip ional ac i i y in esponce o he o ganic loading a e (OLR)
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 9 o 21
Table 2 Mos ac i ely ansc ibed genes o enzymes in ol ed in ca bohyd a e o p o ein u iliza ion o selec ed HR bio ilm MAGs (Con inued)
Me agenome
assembled
genome
(MAG)
1
Assumed axonomic
a ilia ion
Analyzed
HR
2
bio ilm
sample
Gene ansc ip s in ol ed in ca bohyd a e o p o ein u iliza ion P edic ed
unc ional
ole in AD
4
GenID Gene
leng h
Pu a i e gene p oduc Gene EC
numbe
T ansc ip s
mapped
No malized
numbe o
ansc ip s
[TPM]
3
Bin_108_01184 441 50S ibosomal p o ein L15 plO n/s 14 0.2
134 Lachnospi ales (Kineo h ix
sp.)
T2
OLR1500
Bin_134_02838 177 T ansi ion s a e egula o y p o ein ab B n/s 1527 181 Hyd olysis
Bin_134_00038 555 Hypo he ical p o ein n/s n/s 491 7
Bin_134_00185 291 ATP-dependen Clp p o ease, p o eoly ic subuni clpP n/s 81 3
Bin_134_00184 1278 ATP-dependen Clp p o ease, ATP-binding subuni clpX n/s 622 3
Bin_134_00305 906 HTH- ype ansc ip ional egula o yo A n/s 324 2
Bin_134_02093 1110 T ehalose impo ATP-binding p o ein acm 3.2.1.17 234 1
Bin_134_00012 570 Amylopullulanase pulA 3.2.1.41 74 1
Bin_134_00958 3558 Py u a e- la odoxin oxido educ ase ydbK 1.2.7.1 623 1
1 The i s i e ansc ip s o each MAG ep esen he op ansc ip s o he co esponding MAG
2 Hyd olysis eac o
3 T ansc ip s pe million a e aged o da ase s om wo echnical eplica es
4 Anae obic diges ion
n/s No speci ied
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 16 o 21

p ocess de ails we e as p e iously published by [3].
S a -up o all e men e s we e pe o med using liquid
e men e ma e ial om a biogas plan con e ing ca le
manu e in co-diges ion wi h g ass and maize silage and
o he biomass a a ying concen a ions and a mesophi-
lic empe a u es.
Silage o pe ennial yeg ass (Lolium pe enne L.) was
diges ed as sole subs a e in ba ches o a ying amoun s
wi h e en ion imes o 28 d (s o age o bale silage a
−20 °C, cu ing leng h 3 cm), ola ile subs ances (VS)
32% o esh mass (FM), o al Kjeldahl ni ogen 7.6 g
kg
FM
−1
,NH
4+
-N 0.7 g kg
FM
−1
, ace ic acid 2.6 g kg
FM
−1
,
p opionic acid < 0.04 g kg
FM
−1
, lac ic acid 2.6 g kg
FM
−1
,
e hanol 2.2 g kg
FM
−1
, C/N a io 19.3, chemical oxygen
demand (COD) 357.7 g kg
FM
−1
, analysis o chemical
p ope ies acco ding o [6]. The o al Kjeldahl ni ogen
is an app oxima ion o a p o ein con en in he sample.
The a e age pH had a alue be ween 7 (a he beginning
o e e y expe imen ) and 8 (a he end o e e y expe i-
men a e 28 days). No spoilage was obse ed in he sil-
age. Biogas yields we e calcula ed as li e s no malized o
0 °C and 1013 hPa (L
N
) pe kilog am ola ile subs ances
(kg
VS
). Fo chemical analysis, samples we e aken om
he e luen s o HR and AF.
Fo sequencing o 16S RNA gene amplicon lib a ies,
mic obial me agenomes, and mic obial me a ansc ip-
omes, samples we e aken om he silage diges a e in
he HR diges ed o 2 d. A his ime poin , high AD
a es we e de ec ed as indica ed by he as inc ease o
ola ile a y acids (VFA), e.g., ace ic acid. Sampling was
pe o med a wo di e en o ganic loading a es (OLRs),
i.e.,ba ch- e men a ion o 500 g (denomina ed as “low
OLR”, samples M
OLR500
and T
OLR500
) and 1500 g silage
(denomina ed as “inc eased OLR”, samples M
OLR1500
and T
OLR1500
) (Fig. 2). Excess ai was emo ed and he
bo le wi h app oxima ely 200 mg o silage diges a e was
igh ly closed wi h a sc ew cap. The bio ilm on plan
ma e ial su aces o igina ing om he diges a e sample
was de ached using a s e ile scalpel in an anae obic
chambe . Fu he de ails we e desc ibed by [12]. All
samples we e s o ed a −20 °C un il u he analysis ex-
cep samples o RNA isola ion, which we e p ocessed
immedia ely a e sampling.
Ex ac ion o o al mic obial genomic DNA
To al mic obial communi y DNA was ex ac ed om su -
ace a ached bio ilms by using he Fas DNA™Spin Ki o
Soil (MP Biomedicals, USA) wi h Lysing Ma ix E Tubes
acco ding o he manu ac u e ’s ins uc ions. Mechanical
cell dis up ion was pe o med using he Fas P ep®-24 In-
s umen (MP Biomedicals, USA) o wo imes a 6500
pm (speed 5) o 20 s. Fu he , wo washing s eps using
SEWS-M we e accomplished. Finally, he DNA was elu ed
in 100 μl DES. Two independen echnical eplica es o
each HR we e p epa ed, and subsequen ly pooled in equi-
mola amoun s oge he o collec su icien DNA ma e ial
o sequencing pu poses (Addi ional ile 7). Quali y and
quan i y o ex ac ed DNA we e e alua ed by gel elec o-
pho esis and pho ome ic analysis (NanoPho ome e ,
Implen). All DNA samples we e s o ed a −20 °C un il
u he p ocessing.
Te minal es ic ion agmen leng h polymo phism
(TRFLP) inge p in ing
The mic obial communi y dynamics du ing he ope -
a ion o he biogas eac o sys ems we e moni o ed by
DNA-based TRFLP analysis a ge ing he bac e ial 16S
RNA gene acco ding o he p o ocol p e iously pub-
lished by [12] wi h he modi ica ions as published by
[45]. TRFLP p o iles we e de e mined in iplica es o
mic obial DNA samples pu i ied om he HR e luen
a e 28 d ba ch e men a ion. TRFLP inge p in p o-
cessing and subsequen analysis we e pe o med acco d-
ing o [46] using BioNume ics 7.1 so wa e (Applied
Ma hs, Belgium). Simila i ies o inge p in p o iles we e
calcula ed using Pea son co ela ion wi h 0.5%
op imiza ion, clus e analysis was pe o med applying
he unweigh ed pai g oup me hod wi h a i hme ic mean
(UPGMA) algo i hm.
Nex -gene a ion-sequencing (NGS) o 16S RNA gene
amplicon lib a ies
The mic obial communi y s uc u es we e axonomically
cha ac e ized by high- h oughpu nex gene a ion sequen-
cing (NGS) o 16S RNA gene amplicon lib a ies as de-
sc ibed p e iously [47]. The lib a ies we e cons uc ed
using he p ime s 515F (5′- CTACGGGNGGCWGCAG -
3′) and 806R (5′- GACTACHVGGGTATCTAATCC -
3′) ampli ying he V3 and V4 egions o he bac e ial 16S
RNA gene [48]. Two biological eplica es pe sample we e
analyzed (Addi ional ile 7). Ob ained sequence eads we e
used o i e a i e ead pai me ging applying he FLASH
so wa e [49]. Subsequen ly, he QIIME NGS analysis pipe-
line was applied o amplicon da a p ocessing as desc ibed
p e iously [29]. Ob ained OTUs we e clus e ed a he 97%
sequence iden i y le el applying he QIIME NGS analysis
pipeline.
Mic obial me agenome lib a y p epa a ion, NGS, and
assembly o genomes om me agenome da ase s
Fo lib a y p epa a ion, mic obial DNA samples we e pu i-
ied using he Genomic DNA Clean & Concen a o Ki
(Zymo Resea ch, USA). Fo each sample, DNA om wo
subsamples (i.e., echnical eplica es) we e ex ac ed. Fo se-
quencing, 1 μg o o al DNA was shea ed o app oxima ely
430 bp agmen s using a ocused-ul asonica o (Co a is
M220,Wobu n,MA,USA).Finally, he Illumina T uSeq®
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 17 o 21
DNA PCR- ee sample p epa a ion ki (Illumina, Eindho-
en, Ne he lands) was used o cons uc he sequencing li-
b a ies, which we e sequenced on he Illumina HiSeq 1500
sequence using he Illumina HiSeq Rapid SBS Ki 2 (Illu-
mina, Eindho en, Ne he lands), ollowing a 2 × 250 indexed
high ou pu un p o ocol.
Fu he mo e, Megahi ool ( 1.0.2) [50](command line
se ings: --p ese s me a --min-con ig-len
1000) was used o assembly o he pooled sequencing da a
o all samples applying a k-me sizes o 21, 41, 61, 81 and
99 (i e a i e assembly). Pai ed-end me agenome eads om
indi idual da ase s we e mapped e sus all assembled me a-
genome con igs wi h Bow ie 2 ( 2.2.4) [51]inend- o-end
mode applying he op ion ‘sensi i e’. To con e SAM o
BAM, so he alignmen ile and calcula e ead mapping
s a is ics SAM ools ( 1.0) [52] was used. Fu he mo e, o
p edic genes on assembled con igs la ge han 1 kb, he
gene p edic ion ool P odigal .2.6.0 [53] was applied. P e-
dic ed p o ein sequences we e compa ed o NCBI’sda a-
base using he BLASTP mode o DIAMOND [54]. The
esul ing ou pu ile was loaded in o MEGAN5 [55] o
axonomic classi ica ion o each gene sequence. In he ol-
lowing binning s ep, he abundance p o ile and he e anu-
cleo ide equencies we e used o bin con igs in o
me agenome-assembled genomes (MAGs) wi h Me aBAT
( 0.21.3) [56]. Mapping o he eads was always pe o med
on all con igs, including he con igs o he MAGs and he
con igs which we e no binned. Subsequen ly, comple e-
ness, con amina ion, and s ain he e ogenei y o he MAGs
we e es ima ed wi h CheckM ( 1.0.4) [22], using se s o
clade-speci ic single-copy ma ke genes.
Mic obial me a ansc ip ome lib a y p epa a ion and NGS
The o al mic obial RNA om wo sub-samples ( om
he same silage bio ilm as o he DNA ex ac ion)
was ex ac ed applying he RNeasy Mini Ki (Qiagen,
Hilden, Ge many) acco ding o he manu ac u e ’s
guidelines. In o al, wo echnical eplica es we e
p ocessed o each o wo pa allel hyd oly ic eac o
communi ies yielding eigh samples o he mesophilic
sys em and eigh samples o he he mophilic sys em
(Addi ional ile 7).
Subsequen ly, he RNA was pu i ied using he
Ambion® Tu bo DNA- ee Ki (The moFishe ,
Ge many). Ribosomal RNA was deple ed using he
Ribo-Ze o™ RNA Remo al Ki o Bac e ia (Illumina,
Madison, USA) acco ding o he manu ac u e ’sin-
s uc ions. The emaining mRNA ansc ip s we e
agmen ed o app oxima ely 550 bp agmen s using
a ocused-ul asonica o (Co a is M220, Wobu n,
USA). cDNA lib a ies o Illumina sequencing we e
cons uc edusing heT uSeqRNALib a yP epKi
2 (Illumina, Eindho en, Ne he lands). The esul ing
cDNA lib a ies we e sequenced on he Illumina HiSeq
1500 machine using he Illumina HiSeq Rapid SBS
Ki 2 (Illumina, Eindho en, Ne he lands) o gene a e
2 × 100 bp pai ed-end eads.
Me agenome and me a ansc ip ome sequence analysis
Pai ed end me agenome and me a ansc ip ome eads
we e mapped e sus all assembled me agenome con igs
wi h Bow ie2 [51] in end- o-end mode wi h op ion sen-
si i e. A e ead mapping SAM ools [52] was used o il-
e he esul ing BAM iles o uniquely mapped eads.
Reads we e classi ied as uniquely mapped eads wi h a
unique genomic loca ion i and only i hey could no be
aligned o ano he loca ion wi h a highe o same map-
ping quali y. Me agenome as well as me a ansc ip ome
eads ha could be aligned o assembled MAG’s we e
quan i ied wi h he HTSeq-coun p og am [57] o ge an
es ima e o MAG abundance and o e all MAG exp es-
sion, espec i ely. To accoun o di e en MAG abun-
dance, aw me a ansc ip ome ead coun s o each
MAG plus one (pseudocoun ) we e di ided by he
MAG’s aw me agenome ead coun plus one and
ounded o in ege alues. The esul ing coun s o each
MAG se ed as inpu o DESeq2 [58] o pai wise de-
ec ion and quan i ica ion o di e en ially abundan and
ansc ip ionally ac i e MAGs, espec i ely. Fo DESeq2
pa ame iza ion, a be a p io and disabled Cook dis ance
cu o il e ing was used. All o he pa ame e s emained
unchanged. Fold change es ima es, p- alues, and egula -
ized log- ans o med ( log) coun s OF (1) me agenome
ead coun s and (2) me a ansc ip ome ead coun s no -
malized o di e en MAG abundances as desc ibed
abo e we e emplyed o assess p ope sample esp. epli-
ca e clus e ing wi h (PCA, mul idimensional scaling
(MDS)), and hie a chical clus e ing. In addi ion, olcano
plo s we e used o iden i y signi ican ly di e en ially
exp essed MAGs. Simila compa a i e analyses we e
pe o med assuming equal MAG abundances.
Phylogene ic and unc ional analysis o he me agenome-
assembled genomes
The Genome Taxonomy Da abase oolki [59] was used
o assign objec i e axonomic classi ica ions o bac e ial
and a chaeal genomes. Each MAG was de ined as single
ope a ional axonomic uni (OTU). Fo MAGs wi h
comple eness alues o mo e han 50% and a con amin-
a ion a e less han 10% (Addi ional ile 4), analysis o
he gene ic po en ial was pe o med using he EMGB
[60] anno a ion sys em including KEGG pa hway map-
ping and DIAMOND ool [54]. MAGs ha mee he c i-
e ia men ioned abo e we e subsequen ly analyzed
ega ding hei ansc ip ional ac i i ies using he EMGB
anno a ion sys em again.
To p edic genes encoding ca bohyd a e-ac i e en-
zymes, he ca bohyd a e-ac i e enzyme da abase (CAZy)
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 18 o 21
anno a ion web se e dbCAN 7 [24] was used. The
genes encoding enzymes ac ing di ec on cellulose we e
iden i ied by he p esence o coding egions o ype one
o wo docke in o cohesin modules, among o he s.
Supplemen a y in o ma ion
Supplemen a y in o ma ion accompanies his pape a h ps://doi.o g/10.
1186/s40793-020-00354-x.
Addi ional ile 1. S a is ics o 16S RNA gene sequence analysis.
Addi ional ile 2. Rela i e abundances o mos abundan 16S RNA
gene sequences.
Addi ional ile 3. S a is ics o he ob ained and p ocessed me agenome
and me a ansc ip ome sequences.
Addi ional ile 4. Taxonomic a ilia ions o me agenome-assembled ge-
nomes (MAGs) o his s udy o igina ing om HR bio ilms.
Addi ional ile 5. Analysis o he key enzymes o AD pa hways in
me agenome-assembled genomes (MAGs). The gene ic de e minan s
we e ca ego ized acco ding o he ou s ages o he AD p ocess, namely
hyd olysis, acidogenesis, ace ogenesis and me hanogenesis as desc ibed
p e iously [23].
Addi ional ile 6. Hie a chical clus e ing o abundance alues o 78
selec ed me agenome-assembled genomes (MAGs) de ec ed in HR bio-
ilms a mesophilic and he mophilic p ocess empe a u e a o ganic
loading a e (OLR) o 500 g esp. 1500 g yeg ass silage as deduced om
ansc ip ome da a.
Addi ional ile 7. Expe imen al se up and sampling scheme.
Abb e ia ions
AD: Anae obic diges ion; AF: Anae obic il e ; ANI: A e age nucleo ide
sequence iden i y; CAZymes: Ca bohyd a e-ac i e enzymes; CO
2
: Ca bon
dioxide; COD: Chemical oxygen demand; d: day; FM: F esh mass;
GH: Glycosyl hyd olase; HR: Hyd olysis eac o ; HT: High- h oughpu ;
kg: kilog am; kg
VS
: kilog ams ola ile subs ances; L: Li e ; L
N
: Li e no malized;
M: Mesophilic; MAG: Me agenome assembled genomes; MG: Mic obial
me agenome da ase ; MT: Mic obial me a ansc ip ome da ase ; OLR: O ganic
loading a es; OTU: Ope a ional axonomic uni ; SAOB: Syn ophic ace a e-
oxidizing bac e ia; T: The mophilic; TPM: T ansc ip s pe million;
TRFLP: Te minal es ic ion agmen leng h polymo ophism; VFA: Vola ile
a y acids; VS: Vola ile subs ances
Acknowledgemen s
The au ho s g a e ully acknowledge he highly aluable echnical suppo o
M. Felgen eu, M. Jäkel, K. Mund , and G. Rehde. The bioin o ma ics suppo
o he BMBF- unded p ojec ‘Biele eld-Gießen Cen e o Mic obial Bioin o -
ma ics - BiGi (g an no. 031A533)’wi hin he Ge man Ne wo k o Bioin o -
ma ics In as uc u e (de.NBI) is also g a e ully acknowledged. ASz and A.S.
acknowledge unding om he Eu opean Union’s Ho izon 2020 esea ch and
inno a ion p og am unde g an ag eemen No. 818431 (SIMBA). This ou pu
e lec s only he au ho ’s iew and he Resea ch Execu i e Agency (REA) can-
no be held esponsible o any use ha may be made o he in o ma ion
con ained he ein.
Au ho s’con ibu ions
IM p epa ed he 16S RNA gene amplicon lib a ies o sequencing, analyzed
he axonomic p o iles o bio ilm communi ies, analyzed and in e p e ed
me agenome and me a ansc ip ome da a, pe o med he compa a i e MAG
analyses, coo dina ed d a ing and d a ed co esponding pa s o he
manusc ip . MK pa icipa ed in da a analysis and isualiza ion, and d a ed
pa s o he in oduc ion, esul s, discussion, and conclusions sec ions. JD
conduc ed all AD expe imen s, he sampling o diges a es and p ocess
liquids, DNA and RNA ex ac ion om bio ilm samples, and TRFLP analysis.
JD con ibu ed also o AD da a analysis and e ised he manusc ip . YS
also pe o med DNA and RNA ex ac ion om bio ilm samples, p epa ed he
me agenome and me a ansc ip ome sequencing lib a ies, and e ised he
manusc ip . DW and JB de e mined he phylogene ic ela ionship be ween
he MAGs, con ibu ed o he esul s and discussion sec ion, and e ised he
manusc ip . MB pe o med he compa a i e me agenome and
me a ansc ip ome analysis, con ibu ed o he ma e ial and me hods
sec ion, and e ised he manusc ip . CJ pa icipa ed in AD expe imen s and
co esponding da a analysis, and e ised he manusc ip . KW pa icipa ed in
me a ansc ip ome da a analysis, and e ised he manusc ip . MR ca ied ou
he axonomic classi ica ion o he mic obial communi ies, con ibu ed o
he esul s sec ion, and e ised he manusc ip . AR pa icipa ed in AD
expe imen s and TRFLP analysis and co esponding da a analysis, and e ised
he manusc ip . AP pa icipa ed in he design o his s udy, con ibu ed o
he esul s and discussion sec ions, and e ised he manusc ip . ASz and CH
ca ied ou he axonomic classi ica ion o he mic obial communi ies based
on me agenome and me a ansc ip ome da a, pe o med he me agenome
assembly and binning, pa icipa ed in he compa a i e me agenome and
me a ansc ip ome analysis, con ibu ed o he esul s and discussion sec ion,
and e ised he manusc ip . ASz, AS, and MK concei ed he s udy,
pa icipa ed in manusc ip coo dina ion, o ganized hi d-pa y unding, su-
pe ised all biological and bioin o ma ic da a analyses, con ibu ed o d a -
ing o he manusc ip and e ised he manusc ip . All au ho s ead and
app o ed he inal manusc ip .
Funding
This wo k was pa o he join p ojec BIOGAS-MARKER suppo ed by he
Ge man Fede al Minis y o Educa ion and Resea ch (BMBF), g an nos.
03SF0440A and 03SF0440C.
A ailabili y o da a and ma e ials
Sequence da ase s we e deposi ed in he Eu opean Nucleo ide A chi e
(ENA) unde he Biop ojec accession numbe s PRJEB27769 (me agenome
da ase s), E-MTAB-7533 (me a ansc ip ome da ase s), PRJEB30260 (16S RNA
gene amplicon sequences).
E hics app o al and consen o pa icipa e
No applicable.
Consen o publica ion
No applicable.
Compe ing in e es s
The au ho s decla e ha hey ha e no compe ing in e es s.
Au ho de ails
1
Biele eld Uni e si y, Cen e o Bio echnology (CeBiTec), Genome Resea ch
o Indus ial Mic oo ganisms, Uni e si ä ss . 27, 33615 Biele eld, Ge many.
2
Depa men Bioenginee ing, Leibniz Ins i u e o Ag icul u al Enginee ing
and Bioeconomy (ATB), Max-Ey h-Allee 100, 14469 Po sdam, Ge many.
3
Helmhol z Cen e o In ec ion Resea ch, Mic obial In ec ion Biology /
Expe imen al Immunology, Inho ens asse 7, 38124 B aunschweig, Ge many.
4
Depa men Bioin o ma ics and Sys ems Biology, Jus us-Liebig Uni e si y
Gießen, Hein ich-Bu -Ring 58, 35392 Giessen, Ge many.
5
Facul y o
Technology, Biele eld Uni e si y, Uni e si ä ss . 25, 33615 Biele eld, Ge many.
Recei ed: 20 Sep embe 2019 Accep ed: 14 Feb ua y 2020
Re e ences
1. Weiland P. Biogas p oduc ion: cu en s a e and pe spec i es. Appl
Mic obiol Bio echnol. 2010;85:849–60.
2. Nizami AS, Ko es NE, Mu phy JD. Re iew o he in eg a ed p ocess o he
p oduc ion o g ass biome hane. En i on Sci Technol. 2009;43:8496–508.
3. Schönbe g M, Linke B. The in luence o he empe a u e egime on he
o ma ion o me hane in a wo-phase anae obic diges ion p ocess. Eng Li e
Sci. 2012;12:279–86.
4. Pohl M, Heeg K, Mumme J. Anae obic diges ion o whea s aw –
pe o mance o con inuous solid-s a e diges ion. Bio esou Technol. 2013;
146:408–15.
5. Shen F, Yuan H, Pang Y, Chen S, Zhu B, Zou D, e al. Pe o mances o
anae obic co-diges ion o ui & ege able was e (FVW) and ood was e
(FW): single-phase s. wo-phase. Bio esou Technol. 2013;144:80–5.
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 19 o 21
6. Linke B, Rod íguez-Abalde Á, Jos C, K ieg A. Pe o mance o a no el wo-
phase con inuously ed leach bed eac o o demand-based biogas
p oduc ion om maize silage. Bio esou Technol. 2015;177:34–40.
7. Habouzi F, Hamelin J, San a-Ca alina G, S eye J-P, Be ne N. Bio ilm
de elopmen du ing he s a -up pe iod o anae obic bio ilm eac o s: he
bio ilm A chaea communi y is highly dependen on he suppo ma e ial.
Mic ob Bio echnol. 2014;7:257–64.
8. Zak zewski M, Goesmann A, Jaenicke S, Jünemann S, Eikmeye F,
Szczepanowski R, e al. P o iling o he me abolically ac i e communi y om
a p oduc ion-scale biogas plan by means o high- h oughpu
me a ansc ip ome sequencing. J Bio echnol. 2012;158:248–58.
9. Lange S, Sch opp D, Bengelsdo FR, O hman M, Kazda M. Dynamics o
bio ilm o ma ion du ing anae obic diges ion o o ganic was e. Anae obe.
2014;29:44–51.
10. Maus I, Koeck DE, Cibis KG, Hahnke S, Kim YS, Lange T, e al. Un a eling he
mic obiome o a he mophilic biogas plan by me agenome and
me a ansc ip ome analysis complemen ed by cha ac e iza ion o bac e ial
and a chaeal isola es. Bio echnol Bio uels. 2016;9:171.
11. Maus I, Rumming M, Be gmann I, Heeg K, Pohl M, Ne mann E, e al.
Cha ac e iza ion o Ba hya chaeo a genomes assembled om
me agenomes o bio ilms esiding in mesophilic and he mophilic biogas
eac o s. Bio echnol Bio uels. 2018;11:167.
12. Rademache A, Nol e C, Schönbe g M, Klocke M. Tempe a u e inc eases
om 55 o 75 °C in a wo-phase biogas eac o esul in undamen al
al e a ions wi hin he bac e ial and a chaeal communi y s uc u e. Appl
Mic obiol Bio echnol. 2012;96:565–76.
13. Kouzuma A, Tsu sumi M, Ishii S, Ueno Y, Abe T, Wa anabe K. Non-
au o ophic me hanogens domina e in anae obic diges e s. Sci Rep. 2017;7:
1510.
14. B emges A, Maus I, Belmann P, Eikmeye F, Winkle A, Albe smeie A, e al.
Deeply sequenced me agenome and me a ansc ip ome o a biogas-
p oducing mic obial communi y om an ag icul u al p oduc ion-scale
biogas plan . Gigascience. 2015;4:33.
15. Hassa J, Maus I, O S, Pühle A, Sche e P, Klocke M, e al. Me agenome,
me a ansc ip ome, and me ap o eome app oaches un a eled composi ions
and unc ional ela ionships o mic obial communi ies esiding in biogas
plan s. Appl Mic obiol Bio echnol. 2018;102:5045–63.
16. Heye R, Koh s F, Reichl U, Benndo D. Me ap o eomics o complex
mic obial communi ies in biogas plan s. Mic ob Bio echnol. 2015;8:749–63.
17. Campana o S, T eu L, Kougias PG, De F ancisci D, Valle G, Angelidaki I.
Me agenomic analysis and unc ional cha ac e iza ion o he biogas
mic obiome using high h oughpu sho gun sequencing and a no el
binning s a egy. Bio echnol Bio uels. 2016;9:26.
18. Kougias PG, Campana o S, T eu L, Zhu X, Angelidaki I. A no el a chaeal
species belonging o Me hanoculleus genus iden i ied ia de-no o
assembly and me agenomic binning p ocess in biogas eac o s. Anae obe.
2017;46:23–32.
19. Maus I, B emges A, S olze Y, Hahnke S, Cibis KG, Koeck DE, e al. Genomics
and p e alence o bac e ial and a chaeal isola es om biogas-p oducing
mic obiomes. Bio echnol Bio uels. 2017;10:264.
20. Maus I, Cibis KG, B emges A, S olze Y, Wibbe g D, Tomaze o G, e al.
Genomic cha ac e iza ion o De lu ii oga unisiensis L3, a key hyd oly ic
bac e ium in a he mophilic biogas plan and i s abundance as
de e mined by me agenome agmen ec ui men . J Bio echnol. 2016;
232:50–60.
21. Campana o S, T eu L, Rod iguez-R L, Ko alöo szki A, Ziels R, Maus I, e al.
The anae obic diges ion mic obiome: a collec ion o 1600 me agenome-
assembled genomes shows high species di e si y ela ed o me hane
p oduc ion. Bio echnol Bio uels. 2019; h ps://doi.o g/10.1101/680553.
22. Pa ks DH, Imel o M, Skenne on CT, Hugenhol z P, Tyson GW. CheckM:
assessing he quali y o mic obial genomes eco e ed om isola es, single
cells, and me agenomes. Genome Res. 2015;25:1043–55.
23. Siko a A, De man A, Mielecki D, Chojnacka A, Błaszczyk M. Sea ching o
me abolic pa hways o anae obic diges ion: a use ul lis o he key enzymes.
Biogas. 2018. h ps://doi.o g/10.5772/in echopen.81256.
24. Yin Y, Mao X, Yang J, Chen X, Mao F, Xu Y. dbCAN: a web esou ce o
au oma ed ca bohyd a e-ac i e enzyme anno a ion. Nucleic Acids Res. 2012;
40:W445–51.
25. Sundbe g C, Al-Soud WA, La sson M, Alm E, Yek a SE, S ensson BH, e al.
454 py osequencing analyses o bac e ial and a chaeal ichness in 21 ull-
scale biogas diges e s. FEMS Mic obial Ecol. 2013;85:612–26.
26. L Z, Wu X, Zhou B, Wang Y, Sun Y, Wang Y, e al. E ec o one s ep
empe a u e inc emen om mesophilic o he mophilic anae obic
diges ion on he linked pa e n be ween bac e ial and me hanogenic
communi ies. Bio esou Technol. 2019;292:121968.
27. Munk B, Guebi z GM, Lebuhn M. In luence o ni ogen- ich subs a es on
biogas p oduc ion and on he me hanogenic communi y unde mesophilic
and he mophilic condi ions. Anae obe. 2017;46:146–54.
28. Shin SG, Han G, Lee J, Shin J, Hwang S. A snapsho o mic obial communi y
s uc u es in 20 di e en ield-scale anae obic bio eac o s ea ing ood
was e. J En i on Manag. 2019;248:109297.
29. S olze Y, B emges A, Rumming M, Henke C, Maus I, Pühle A, e al.
Iden i ica ion and genome econs uc ion o abundan dis inc axa in
mic obiomes om one he mophilic and h ee mesophilic p oduc ion-scale
biogas plan s. Bio echnol Bio uels. 2016;9:156.
30. Bassini JP, Diass N, Caoe SMS, .Sen a E, La anjei a Y, Dezo i M. E ec o
inc easing o ganic loading a es on he pe o mance o mo ing-bed bio ilm
eac o s illed wi h di e en suppo media: assessing he ac i i y o
suspended and a ached biomass ac ions. P oc Sa En i on P o ec 2016;
100:131–141.
31. Liu C, Wang W, Anwa N, Ma Z, Liu G, Zhang R. E ec o o ganic loading
a e on anae obic diges ion o ood was e unde mesophilic and
he mophilic condi ions. Ene gy Fuel. 2017;31:2976–84.
32. Ko ács E, Wi h R, Ma ó i G, Bagi Z, Rákhely G, Ko ács KL. Biogas p oduc ion
om p o ein- ich biomass: ed-ba ch anae obic e men a ion o casein and
o pig blood and associa ed changes in mic obial communi y composi ion.
PLoS One. 2013;16:e77265.
33. Wes e holm M, Schnü e A. Mic obial esponses o di e en ope a ing
p ac ices o biogas p oduc ion sys ems. Anae obic Diges ion. 2019. h ps://
doi.o g/10.5772/in echopen.82815.
34. Zhang L, Ban Q, Li J. Mic obial communi y dynamics a high o ganic
loading a es e ealed by py osequencing du ing suga e ine y was ewa e
ea men in a UASB eac o . F on En i on Sci Eng. 2018;12:4.
35. Lei e AF, Janke L, L Z, Ha ms H, Richnow HH, Nikolausz M. Imp o ed
moni o ing o semi-con inuous anae obic diges ion o suga cane was e:
e ec s o inc easing o ganic loading a e on me hanogenic communi y
dynamics. In J Mol Sci. 2015;25:23210–26.
36. Xu R, Yang ZH, Zheng Y, Liu JB, Xiong WP, Zhang YR, e al. O ganic loading
a e and hyd aulic e en ion ime shape dis inc ecological ne wo ks o
anae obic diges ion ela ed mic obiome. Bio esou Technol. 2018;262:184–
93.
37. Ben Hania W, Godbane R, Pos ec A, Hamdi M, Olli ie B, Fa deau ML.
De lu ii oga unisiensis gen. No ., sp. no ., a he mophilic bac e ium
isola ed om a meso he mic and anae obic whey diges e . In J Sys E ol
Mic obiol. 2012;62:1377–82.
38. Zhang L, Loh KC, Sa anan ha ajah S, Tong YW, Wang CH, Dai Y. Mesophilic
and he mophilic anae obic diges ion o soybean cu d esidue o me hane
p oduc ion: cha ac e izing bac e ial and me hanogen communi ies and
hei co ela ions wi h o ganic loading a e and ope a ing empe a u e.
Bio esou Technol. 2018;288:121597.
39. T eu L, Kougias PG, Campana o S, Bassani I, Angelidaki I. Deepe insigh in o
he s uc u e o he anae obic diges ion mic obial communi y; he biogas
mic obiome da abase is expanded wi h 157 new genomes. Bio esou
Technol. 2016;2016:260266.
40. Zhou J, Deng Y, Luo F, He Z, Tu Q, Zhi X. Func ional molecula ecological
ne wo ks. MBio. 2010;2010;1.
41. Zhou J, Deng Y, Luo F, He Z, Yang Y. Phylogene ic molecula ecological
ne wo k o soil mic obial communi ies in esponse o ele a ed CO2. mBio.
2011;2:e00122–11.
42. Yang J, Li G, Qian Y, Yang Y, Zhang F. Mic obial unc ional gene pa e ns
ela ed o soil g eenhouse gas emissions in oil con amina ed a eas. Sci To al
En i on. 2018;628–629:94–102.
43. Louca S, Polz MF, Mazel F, Alb igh MBN, Hube JA, O’Conno MI, e al.
Func ion and unc ional edundancy in mic obial sys ems. Na u e Ecol E ol.
2018;2:936.
44. Bilen M, Du ou J-C, Lagie J-C, Cado e F, Daoud Z, Dubou g G, e al. The
con ibu ion o cul u omics o he epe oi e o isola ed human bac e ial
and a chaeal species. Mic obiome. 2018;6:94.
45. Theue l S, Koh s F, Benndo D, Maus I, Wibbe g D, Schlü e A, e al.
Communi y shi s in a well-ope a ing ag icul u al biogas plan : how p ocess
a ia ions a e handled by he mic obiome. Appl Mic obiol Bio echnol. 2015;
99:7791–803.
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 20 o 21
46. Klang J, Theue l S, Szewzyk U, Hu h M, Tölle R, Klocke M. Dynamic a ia ion
o he mic obial communi y s uc u e du ing he long- ime mono-
e men a ion o maize and suga bee silage. Mic ob Bio echnol. 2015;8:
764–75.
47. Maus I, Kim YS, Wibbe g D, S olze Y, O S, An onczyk S, e al. Biphasic s udy
o cha ac e ize ag icul u al biogas plan s by high- h oughpu 16S RNA
gene amplicon sequencing and mic oscopic analysis. J Mic obiol
Bio echnol. 2017;27:321–34.
48. Klindwo h A, P uesse E, Schwee T, Peplies J, Quas C, Ho n M, e al.
E alua ion o gene al 16S ibosomal RNA gene PCR p ime s o classical and
nex -gene a ion sequencing-based di e si y s udies. Nucleic Acids Res. 2013;
41:e1.
49. MagočT, Salzbe g SL. FLASH: as leng h adjus men o sho eads o
imp o e genome assemblies. Bioin o ma ics. 2011;27:2957–63.
50. Li D, Liu CM, Luo R, Sadakane K, Lam TW. MEGAHIT: an ul a- as single-
node solu ion o la ge and complex me agenomics assembly ia succinc
de B uijn g aph. Bioin o ma ics. 2015;31:1674–6.
51. Langmead B, Salzbe g SL. Fas gapped- ead alignmen wi h bow ie 2. Na
Me hods. 2012;9:357–9.
52. Li H, Handsake B, Wysoke A, Fennell T, Ruan J, Home N, e al. The
sequence alignmen /map o ma and SAM ools. Bioin o ma ics. 2009;25:
2078–9.
53. Hya D, LoCascio PF, Hause LJ, Ube bache EC. Gene and ansla ion
ini ia ion si e p edic ion in me agenomic sequences. Bioin o ma ics. 2012;28:
2223–30.
54. Buch ink B, Xie C, Huson DH. Fas and sensi i e p o ein alignmen using
DIAMOND. Na Me hods. 2015;12:59–60.
55. Huson DH, Mi a S, Ruscheweyh H-J, Webe N, Schus e SC. In eg a i e
analysis o en i onmen al sequences using MEGAN4. Genome Res. 2011;21:
1552–60.
56. Kang DD, F oula J, Egan R, Wang Z. Me aBAT, an e icien ool o accu a ely
econs uc ing single genomes om complex mic obial communi ies. Pee J.
2015;3:e1165.
57. Ande s S, Pyl P, Hube W. HTSeq--a Py hon amewo k o wo k wi h high-
h oughpu sequencing da a. Bioin o ma ics. 2015;15:166–9.
58. Lo e MI, Hube W, Ande s S. Mode a ed es ima ion o old change and
dispe sion o RNA-seq da a wi h DESeq2. Genome Biol. 2014;15:550.
59. A oolki o assigning objec i e axonomic classi ica ions o bac e ial and
a chaeal genomes.: Ecogenomics/GTDBTk. Py hon. Aus alian Cen e o
Ecogenomics; 2018. h ps://gi hub.com/Ecogenomics/GTDBTk. Accessed 6
No 2018.
60. Jünemann S, Kleinböl ing N, Jaenicke S, Henke C, Hassa J, Nelkne J, e al.
Bioin o ma ics o NGS-based me agenomics and he applica ion o biogas
esea ch. J Bio echnol. 2017;261:10–23.
Publishe ’sNo e
Sp inge Na u e emains neu al wi h ega d o ju isdic ional claims in
published maps and ins i u ional a ilia ions.
Maus e al. En i onmen al Mic obiome (2020) 15:7 Page 21 o 21