TYPE
Original Research
16 April-/fmicb-
PUBLISHED
DOI
OPEN ACCESS
EDITED BY
Philippe M. Oger,
UMR5240 Microbiologie, Adaptation et
Pathogenie (MAP), France
REVIEWED BY
Santosh Kumar Karn,
Sardar Bhagwan Singh University, India
Ilya V. Kublanov,
Hebrew University of Jerusalem, Israel
*CORRESPONDENCE
Rubén Javier-López-Nils-Kåre Birkeland-RECEIVED 11
October 2024
March 2025
PUBLISHED 16 April 2025
ACCEPTED 17
CITATION
Javier-López R, Kielbasa M, Armengaud J and
Birkeland N-K (2025) Transcriptomic and
proteomic insights into feather keratin
degradation by Fervidobacterium.
Front. Microbiol. 16:-.
doi: 10.3389/fmicb-
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© 2025 Javier-López, Kielbasa, Armengaud
and Birkeland. This is an open-access article
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which does not comply with these terms.
Transcriptomic and proteomic
insights into feather keratin
degradation by Fervidobacterium
Rubén Javier-López 1*, Mélodie Kielbasa 2, Jean Armengaud 2
and Nils-Kåre Birkeland 1*
Department of Biological Sciences, University of Bergen, Bergen, Norway, 2 Département
Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, Bagnols-surCèze, France
1
Keratin, one of the most recalcitrant and abundant proteins on Earth, constitutes
a challenging and underutilized material for the poultry industry. Although it
resists degradation by most commonly available enzymes, natural breakdown
occurs through the action of certain fungi and bacteria. This process remains
poorly understood, and only a few thermophilic and anaerobic bacteria are known
to effectively degrade keratin. Some members of the genus Fervidobacterium
have been demonstrated to be effective at degrading feather keratin under high
temperatures and anoxic conditions. However, a comprehensive evaluation of
their keratinolytic capabilities remains lacking, leaving their potential largely
underexplored. In this study, we assessed the keratinolytic activity of all available
Fervidobacterium strains. Six strains were active against this recalcitrant substrate,
namely Fervidobacterium changbaicum CBS-1T, Fervidobacterium islandicum
H-21T, Fervidobacterium pennivorans T, Fervidobacterium pennivorans DSM9078T,
Fervidobacterium sp. GSH, and Fervidobacterium sp. 21710. These bacteria were
used in a comparative proteomics analysis, grown with either glucose or chicken
feathers as the sole carbon source. Similarly, the three most efficient strains,
Fervidobacterium pennivorans T, Fervidobacterium sp. GSH, and Fervidobacterium
islandicum H-21T underwent an in-depth comparative transcriptomics analysis.
Among the numerous upregulated proteins and overexpressed genes identified
when comparing feather-grown to glucose–grown cells, oxidoreductases and
peptidases are key enzymes in the degradation process, suggesting their potential
application in enzymatic keratinolytic cocktails for degrading feather keratin.
KEYWORDS
chicken feather, keratin, keratinase, oxidoreductase, peptidase, protease, proteomics,
transcriptomics
Introduction
Keratin, a structural protein found in the epidermis and outer protective layers of
vertebrates, provides protection, insulation, and other mechanical functions. Beta-keratin, one
of the main forms of keratin, is the principal component of several structures, such as scales,
beaks, and feathers (Zhang and Fan, 2021). Chicken feather keratin is rich in cysteine,
glutamine, proline, and serine, and its composition is similar to that of other feather keratins
(Saravanan and Dhurai, 2012). Thus, keratin is one of the most abundant proteins on Earth,
with millions of tons of feathers produced annually as a by-product of the food industry
(Shavandi et al., 2017; Chen et al., 2022), indicating both its prevalence and persistence in the
environment. Characterized by a high cysteine content, typically ranging from 7 to 13%, the
structure of keratin is strengthened by hydrogen and disul#de bonds, making it chemically
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Javier-López et al.
10.3389/fmicb-
stable (Lange et al., 2016; Shavandi et al., 2017) and resistant to most
conventional hydrolytic enzymes commonly used for protein
degradation (Sypka et al., 2021; Chen et al., 2022).
Considered a biowaste, feathers are a major concern for the food
industry and constitute an underutilized residue that is traditionally
transformed into low-value products, such as feather meal or
fertilizers (De Oliveira Martinez et al., 2020), or even burned or
discarded (Sahoo et al., 2017; Chen et al., 2022). Conventional keratin
extraction methods typically disrupt the structure of wool or feathers,
leading to alterations in the composition and generation of pollutants
(Shavandi et al., 2017). Although keratin degradation occurs in nature,
this reaction is slow, and the details of the degradation process are still
to be fully elucidated at molecular level (Daroit and Brandelli, 2014;
Sahoo et al., 2017). Keratin degradation has been hypothesized to
involve the cleavage of disul#de bonds by oxidoreductases, followed
by the combined action of endo-and exo-proteases and other enzymes.
However, the details of the process at molecular level remain unknown
(Lange et al., 2016; Shavandi et al., 2017; Qiu et al., 2020).
Certain groups of microorganisms, most of which are mesophilic
aerobes, have been reported to break down feather keratin (Daroit and
Brandelli, 2014; Sahni et al., 2015; Srivastava et al., 2020). Interestingly,
only a few are anaerobic and thermophilic or hyperthermophilic, such
as strains of the genus Fervidobacterium, belonging to the
Thermotogota phylum. All members of this taxon have an external
sheath-like membrane called the toga, which is a de#ning
characteristic of this phylum (Huber et al., 1986; Bhandari and Gupta,
2014). All of them are thermophilic or hyperthermophilic and
fermentative rods with optimal temperatures range of 65–80°C
(Huber et al., 1990; Andrews and Patel, 1996; Friedrich and
Antranikian, 1996; Cai et al., 2007; Podosokorskaya et al., 2011;
Kanoksilapatham et al., 2016) that use various sugars and
proteinaceous substrates as carbon and energy sources (Conners et al.,
2006). Several strains of the Fervidobacterium genus can degrade
feather keratin at high temperatures under anaerobic conditions,
meaning that their enzymatic machinery is accordingly adapted to
function in these conditions, and highlighting their biological and
biotechnological relevance (Huber et al., 1990; Friedrich and
Antranikian, 1996; Kanoksilapatham et al., 2016; Javier-Lopez et al.,
2022; Wang et al., 2024). Moreover, degradation of recalcitrant
compounds is more efficient at high temperatures, what makes
thermophiles more attractive compared to their mesophilic
counterparts (Cowan et al., 2024), explaining why thermophilic
enzymes are widely used in industry (Atif et al., 2024). Their genomes
are approximately two megabases in size, with a G + C content ranging
from 32 to 46% mol (Javier-Lopez et al., 2022). Despite the discovery
and characterization of a few keratinases (Kluskens et al., 2002; Kim
et al., 2004; Godde et al., 2005; Lee et al., 2015), the feather-degrading
potential of this group remains largely underexplored. In this context,
the metabolic versatility of the Fervidobacterium group, their
thermophilic features, and the increasing availability of thermostable
proteases for the degradation of proteinaceous biowaste from
agriculture and #sheries have huge potential for biotechnological and
industrial applications.
Unraveling how biological systems function and elucidating
key molecular mechanisms have become more attainable with the
advent of genomics, transcriptomics, and proteomics
(Armengaud, 2016). Next-generation proteomics can be applied
to whole cells, as well as proteins secreted in the milieu
Frontiers in Microbiology
(Armengaud et al., 2012), offering insights into enzymes and
catalysts produced and exported by bacteria.
To the best of our knowledge, comparative proteomic and
transcriptomic studies on Fervidobacterium representatives are
lacking. To uncover novel enzymes involved in keratin degradation
and gain insights into the associated metabolic pathways, the
keratinolytic capabilities of all available Fervidobacterium strains were
evaluated in this study, and the cellular and exo-proteomes of the most
efficient strains grown with chicken feathers or glucose were analyzed.
Finally, the transcriptomes of the three representative strains were
established. This multiomics study provides a comprehensive overview
of the functionality of this thermophilic bacterial genus and highlights
its potential for keratin degradation.
Materials and methods
Experimental design and strains used in
this work
All available isolates of the genus Fervidobacterium were included
in this study: Fervidobacterium pennivorans T (CP050868) and
Fervidobacterium sp. GSH (CP126982), both isolated and described
by our research group in Bergen (Javier-Lopez et al., 2022);
Fervidobacterium pennivorans DSM 9078T (CP003260),
Fervidobacterium nodosum Rt17-B1T (CP000771), Fervidobacterium
sp. DSM 13770 (CP126498), Fervidobacterium islandicum H-21T
(CP126499), Fervidobacterium sp. DSM 21710 (CP126500),
Fervidobacterium changbaicum CBS-1T (CP026721), Fervidobacterium
riparium 1445tT (CP009277) and Fervidobacterium gondwanense
DSM13020T (CP126501), acquired from the German Collection of
Microorganisms and Cell Cultures (Leibniz Institute DSMZ)1;
Fervidobacterium thailandense FC2004T (CP140110), obtained
through the Japan Collection of Microorganisms (JCM)2.
The keratinolytic efficiencies of these strains were assessed based
on their ability to degrade chicken feather keratin under anaerobic
and thermophilic conditions. The experimental procedure included
inoculating each strain into %asks containing plain mineral medium
in the presence of a chicken feather and incubating the cultures at
their optimal temperature based on the DSMZ guidelines. The
cultures were monitored for 72 h, during which the integrity of the
feathers was visually inspected. The keratinolytic strains underwent
proteomic analysis to identify and quantify the potential enzymes
involved in keratin degradation. Finally, transcriptome pro#les of the
three most efficient degradative strains were compared.
Medium preparation and cultivation
The organisms used in this study were cultured using a uniform
Mineral Medium for Freshwater bacteria (MMF). This medium
consisted of an initial mineral formulation, trace elements, and
vitamins supplemented with yeast extract, glucose, or a chicken
1 https://www.dsmz.de
2 https://jcm.brc.riken.jp
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feather as carbon sources. The mineral composition of MMF
contained, per liter: NaCl, 1 g; MgSO4·7H2O, 0.3 g; KCl, 0.3 g; NH4Cl,
0.5 g; CaCl2·2H2O, 0.1 g; and KH2PO4, 0.3 g. Ten milliliters of the trace
elements solution SL-10 (Koblitz et al., 2022) was added. The required
amount of yeast extract was at least of 0.5 grams per liter (Friedrich
and Antranikian, 1996). The mixture was sterilized by autoclaving at
121°C for 20 min. A&er cooling to 60°C, while %ushing with sterile
nitrogen gas, 10 mL of a vitamin solution was added. The composition
of the vitamin solution was, per liter: 4-aminobenzoic acid, 8 mg;
D(+) biotin, 2 mg; nicotinic acid, 20 mg; Ca-D(+) pantothenic acid,
10 mg; pyridoxamine·2HCl, 30 mg; thiamine dichloride, 20 mg; and
vitamin B12, 10 mg. Furthermore, 2 mL of 25% cysteine-HCl solution
was added as a reducing agent.
The pH was adjusted to 7.1 ± 0.1 with 1 M HCl, and the medium
was transferred to sterile 20 mL serum %asks using the Hungate
technique (Hungate, 1950; Miller and Wolin, 1974). Each %ask was
capped with butyl rubber corks and secured with aluminum seals.
Glucose was added as a carbon source to a #nal concentration of 5 g/L
from a sterile anaerobic stock using a syringe.
#ltered through a 5 mm pore Whatman syringe #lter. The #lter was
washed with 70% ethanol to remove any residual media or biological
material and dried at 65°C to a constant weight.
The weight of the remaining feathers was recorded, and the
efficiency of feather degradation was calculated by comparing the #nal
weight to the initial value.
Genome annotations
Both proteomes and transcriptomes were mapped to the
annotated genomes of the previously mentioned species. The
Prokaryotic Genome Annotation Pipeline (PGAP) version-. build6771 (Tatusova et al., 2016)3 was used to predict genes and
other features in the genomes of Fervidobacterium sp. GSH
(CP126982) and F. islandicum H-21T (CP126499). The genome
annotation of F. pennivorans T (CP050868) already available in
Genbank was used.
Proteomics
Feather degradation assessment
Sample preparation
To assess the keratinolytic efficiency of the organisms, the bacteria
were incubated with MMF medium enriched with 0.5 g/L yeast
extract and native chicken feathers (15 ± 5 mg). The feathers were
washed with a solution of ethanol:methanol (1:1) to eliminate lipids,
feces and other organic debris, and autoclaved (121°C, 20 min.), as
previously described (Javier-Lopez et al., 2022).
The cultures were incubated at the optimal temperature for each
strain, as recommended by the German Collection of Microorganisms
and Cell Cultures (Leibniz Institute, DSMZ). These were:
F. changbaicum CBS-1T (80°C), F. islandicum H-21T (65°C),
F. pennivorans T (65°C), F. pennivorans DSM 9078T (65°C), F. sp. GSH
(65°C), F. sp. 21710 (70°C), F. riparium 1445T (65°C), F. thailandense
FC2004T (80°C), F. sp. 13770 (65°C), F. nodosum Rt17-B1T (70°C),
F. gondwanense DSM 13020T (65°C).
The bacteria were inoculated into %asks containing 15 mL of
sterile mineral MMF medium with 0.5% glucose or a chicken feather.
Biological triplicates were then incubated for 24 (glucose culture) or
48 h (feather culture) at the optimal temperature for each strain. The
cells were harvested by centrifuging at 4°C for 10 min at 5,000 g. The
pellets were weighted and mixed with 6 μL of Laemmli bu'er per
milligram of pellet, while the supernatants were #ltered through
0.2 μm disk #lters to eliminate any remaining cells. The #ltered
fraction was then concentrated using Amicon centrifugal #lters
(10 kDa cut-o') for 25 min at 5,000 g and 4°C. Then, 100 μL of this
concentrated supernatant was transferred to a tube along with 100 μL
of Laemmli bu'er. Both pellets and concentrated supernatants mixed
with Laemmli bu'er were denatured by boiling at 99°C for 10 min.
For each sample, a volume of 20 μL of extract was subjected to
electrophoresis on a NuPAGE 4–12% Bis-Tris (Invitrogen) gel for
5 min at 200 V in MES bu'er (Invitrogen). The proteins were then
stained with ready-to-use Coomassie SimplyBlue SafeStain (Thermo
Fisher Scienti#c), destained with MilliQ water washes, excised as a
single polyacrylamide band, treated, and proteolyzed with trypsin, as
previously described (Rubiano-Labrador et al., 2014).
Feather degradation assay
Although there is no standardized procedure for assessing keratin
degradation (Qiu et al., 2020), one of the most reliable and
straightforward methods is to calculate the di'erence in the weight of
the substrate before and a&er incubation (De Oliveira Martinez et al.,
2020). Accordingly, a quantitative feather degradation assay was
designed to measure and compare the keratinolytic activity of the
three most efficient strains, F. pennivorans T, Fervidobacterium sp.
GSH and F. islandicum H-21T. The cultures were incubated for 72 h at
the optimal temperature for each microorganism: 70°C for
F. pennivorans T and Fervidobacterium sp. GSH and 65°C for
F. islandicum H-21T. The experiment was performed in triplicate using
chicken breast feathers as substrates. The feathers were weighed and
placed aseptically in serum %asks that were previously gassed with
sterile nitrogen. Next, 20 mL of sterile MMF medium enriched with
yeast extract (0.5 g/L) was added to each %ask and inoculated with
1 mL of a dense bacterial culture of the respective strains. A&er 0
(initial time), 12, 24, 36, 48, 60 and 72 h the cultures were aseptically
Frontiers in Microbiology
Tandem mass spectrometry and data
interpretation
For each sample, the resulting tryptic peptides (15 out of 50 μL)
were analyzed using tandem mass spectrometry with an Exploris 480
high-resolution tandem mass spectrometer (Thermo electron)
coupled to a Vanquish Neo UHPLC in conditions similar to those
previously described (Charlier et al., 2024). Brie%y, peptides were
3 https://github.com/ncbi/pgap
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desalted online with a PepMap 100 C18 pre-column and resolved on
a reverse-phase Acclaim PepMap 100 C18 column (Thermo Fisher
Scienti#c) at a %ow rate of 250 nL/min with a 90 min gradient (5–25%
B), followed by a 5 min gradient (25–40% B) with mobile phases A
(0.1% HCOOH/100% H2O) and B (0.1% HCOOH/99.9%CH3CN).
The mass spectrometer was operated in data-dependent acquisition
mode with a Top20 strategy consisting of cycles of a full scan of
peptide ions, followed by sequential selection of each of the 20 most
intense precursors in the high-energy collisional dissociation cell,
their fragmentation, and MS/MS scans of the resulting fragments.
Only peptide ions with a charge state of 2+ or 3+ were selected for
dissociation, with a dynamic exclusion of 10 s. Full-scan mass spectra
from 350 to 1,500 m/z were acquired at a resolution of 120,000,
whereas MS/MS scans were recorded at a resolution of 15,000.
Peptide-to-spectrum assignment was performed with the Mascot
so&ware v2.5.1 (Matrix Science) against the annotated genome
database of each speci#c strain.
Full-trypsin speci#city with up to two missed cleavages allowed,
#xed modi#cation of carbamidomethylated cysteine, mass tolerances
of 5 ppm for the precursors, and 0.02 Da for peptide fragments were
selected as parameters. Methionine oxidation and asparagine and
glutamine deamidation were selected as variable modi#cations.
Peptide matches with a MASCOT peptide score below a p-value of
0.05 were considered. Proteins with at least two di'erent peptides were
selected, and their quantities were estimated using spectral counts.
The false discovery rate for protein identi#cation was <1%, as
estimated using the MASCOT reverse decoy database option. Spectral
counts were compared between conditions a&er standard
normalization using the T-Fold method as previously described
(Gouveia et al., 2020), selecting proteins that satis#ed |T-fold| (≥1.5)
and p-value (≤0.05) as signi#cantly up-and downregulated. Volcano
plots were drawn to visualize the results using the Ggplot2 (v 3.5.1)
(Wickham, 2016) library in R.
the calculation of the RNA integrity number (RIN). RNA samples
were stored at −80°C until further analysis.
Complementary (cDNA) synthesis,
sequencing and assembly
The rRNA was depleted, and cDNA was synthesized and
sequenced using Illumina technologies at Euro#ns Genomics facilities,
Constance, Baden, Germany.4 Low-quality reads (PHRED score < 30)
and adapters were trimmed using CLC Workbench Genomics
v23.0.5.5 The #ltered reads were assembled and mapped to the
annotated genomes of F. pennivorans T, Fervidobacterium sp. GSH and
F. islandicum H-21T with CLC Workbench Genomics v23.0.5, using
the following parameters: mismatch cost = 2, insertion cost = 2,
deletion cost = 3, length fraction = 0.8, and maximum number of hits
per read = 10.
Differential gene expression
Gene count normalization and di'erential gene expression
analyses were performed using the DESeq2 package (v1.43.1) in
Bioconductor hosted in R (version- + 463). The analysis was
performed separately for each strain, comparing total gene expression
levels between the glucose and feather cultures at 18 and 40 h of
incubation. A&er applying a variance-stabilizing transformation
(VST), genes with a |fold change| > 1.5 and a false discovery rate
(FDR) < 0.05 were considered signi#cantly over-and under-expressed,
respectively. The signi#cant genes were subset and the results
visualized using heatmaps drawn with the R package pheatmap
v1.0.12.6
Results
Functional analyses
Feather degradation assessment
The upregulated proteins identi#ed in the studied strains were
submitted to the Kyoto Encyclopedia of Genes and Genomes (KEGG)
(Kanehisa and Goto, 2000; Kanehisa, 2019; Kanehisa et al., 2022),
annotated and KO codes assigned with BlastKOALA and their global
metabolism and pathways were identi#ed, analyzed and compared
using the Reconstruct tool in KEGG Mapper.
The keratinolytic potential of all 11 Fervidobacterium strains
available was assessed using feather degradation tests. Temperature
conditions were set individually for each strain according to their
optimal growth temperature. The results in Table 1 were obtained a&er
incubating the cultures for 72 h in MMF medium using chicken
feathers as the sole carbon source. Among the strains tested, only
F. nodosum Rt17-B1T and F. gondwanense DSM 13020T showed no
visible signs of feather degradation. Fervidobacterium riparium 1445tT,
Fervidobacterium sp. 13770, and Fervidobacterium thailandense
FC2004T exhibited only partial feather degradation. The remaining six
strains–F. changbaicum CBS-1T, F. islandicum H-21T, F. pennivorans T,
F. pennivorans DSM 9078T, F. pennivorans GSH and Fervidobacterium
sp. 21710–completely degraded feather within 72 h. F. pennivorans T,
F. pennivorans GSH, and F. islandicum H-21T were particularly efficient
in degrading most of the feathers a&er only 48 h and were thus selected
Transcriptomics
RNA isolation and purification
Fervidobacterium pennivorans T, Fervidobacterium sp. GSH and
F. islandicum H-21T were grown in triplicate with either glucose
(0.5%) or native chicken breast feathers. A&er 18 (glucose and feather
samples) or 40 h (feather cultures), the cells were harvested via
centrifugation at 4°C for 10 min at 5,000 g, and total RNA was puri#ed
using the protocol described in the RNeasy Mini Kit from Qiagen. The
RNA concentration was measured using a NanoDrop™ One/OneC
spectrophotometer, and RNA integrity assessed using an Agilent 2,100
Bioanalyzer System (Agilent Technologies, California, USA) based on
Frontiers in Microbiology
4 https://eurofinsgenomics.eu/
5 https://digitalinsights.qiagen.com/
6 https://CRAN.R-project.org/package=pheatmap
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TABLE 1 Overview of the feather degradation capacity of fervidobacteria.
Strain
Optimal growth temperature (°C)
Feather degradation
Fervidobacterium changbaicum CBS-1
80
Positive
Fervidobacterium islandicum H-21T
65
Positive
65
Positive
Fervidobacterium pennivorans DSM 9078
65
Positive
Fervidobacterium sp. GSH
65
Positive
70
Positive
Fervidobacterium riparium 1445t
65
Partial
Fervidobacterium thailandense FC2004T
80
Partial
Fervidobacterium sp. 13770
65
Partial
70
Negative
65–68
Negative
T
Fervidobacterium pennivorans T
T
Fervidobacterium sp. 21710
T
Fervidobacterium nodosum Rt17-B1
T
Fervidobacterium gondwanense DSM 13020T
FIGURE 1
Quantitative feather degradation assay showing the difference in weight measured in percentage of remaining feathers after 12, 24, 36, 48, and 72 h of
incubation. (A) Assay results for Fervidobacterium pennivorans T (blue), Fervidobacterium pennivorans GSH (orange), and Fervidobacterium islandicum
H-21T (gray). (B) Feather degradation by F. pennivorans T after 24, 48, and 72 h of incubation, as revealed by filtering through a 5 mm-pore syringe filter
(triplicates).
for further investigation in degradation assays and transcriptomics.
Examples of complete, partial and negative feather degradation are
displayed in Supplementary Figure S1.
A quantitative degradation assay was performed to quantify and
compare the keratinolytic activity of the three most efficient strains
of fervidobacteria, namely F. pennivorans T, F. pennivorans GSH, and
F. islandicum H-21T. Figure 1 shows the percentage of feather
material remaining a&er 12, 24, 36, 48, 60 and 72 h of incubation.
Feather weight loss was expressed as a percentage of the original
weight. By the 12 h mark, there was almost no variation in weight
loss, and the degradation became clearly noticeable a&er this time
point. A&er 24 h, F. pennivorans T had broken down more than
30 ± 13% of the feather material, and F. pennivorans GSH had
degraded approximately 20 ± 3%. The slowest strain at this time
point was F. islandicum H-21T, with around 7 ± 1% degradation. At
this time point, the degradation rate of all three strains signi#cantly
increased until 60 h, then slowed, except for F. pennivorans T, the
most efficient strain, which reached a plateau a&er only 48 h. At 60 h,
Frontiers in Microbiology
a stationary phase in feather degradation was reached for all three
strains, but feather degradation could still be measured until the end
of the experiment, at 72 h. At the conclusion of the assay, F. islandicum
H-21T and F. pennivorans T had degraded most of the feather, with
only 15 ± 7% and 17 ± 5% remaining, respectively. F. pennivorans
GSH could only break down until 28 ± 2% of the feather a&er a
72-h incubation.
Shotgun proteomics
Differential analysis
The six most active keratinolytic fervidobacteria
(F. changbaicum CBS-1T, F. islandicum H-21T, F. pennivorans T,
F. pennivorans DSM 9078T, F. pennivorans GSH and
Fervidobacterium sp. 21710) and F. gondwanense DSM 13020T as a
non-degradative (negative control) strain were subjected to a dual
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shotgun proteomic study, in which the cellular proteome and
exoproteome were established (a list of proteins with statistical
analysis is available as a separate Excel #le in File S2). More than
80% of the approximately 2,000 proteins detected in each of the
seven proteomes were identi#ed, most of which were identi#ed in
the cellular proteome, with more than 1,250 proteins identi#ed per
strain (Table 2), whereas only approximately 200 proteins on
average belonged to the exoproteome fraction. Approximately 160
proteins were found upregulated in the feather cultures of all
strains, most of which were in the cellular fraction. The number of
downregulated proteins identi#ed was notably higher, with more
than 200 proteins in each strain, except for Fervidobacterium
sp. 21710, which had only 151 downregulated proteins.
Surprisingly, the non-keratinolytic bacterium F. gondwanense
DSM13020T showed the highest number of upregulated proteins,
with a total of 76 proteins identi#ed.
Di'erential analysis is shown in Figure 2 in the form of volcano
plots, where protein abundances were compared between feather
and glucose conditions. Proteins were classi#ed as upregulated or
downregulated based on a |fold change| threshold of 1.5 and a
signi#cance level (p-value) below 0.05. Across all strains, the
statistically underrepresented proteome was more abundant,
indicating that the proteome of cells grown in feather conditions
was less diverse and, thus, more specialized than the proteome of
cells grown on glucose. For most strains, the number of
signi#cantly downregulated proteins was between two and three
times more abundant in the feather condition than in the glucose
condition, except for Fervidobacterium sp. 21710, which had
almost the same number of di'erential proteins in both fractions.
Genome annotation of these strains revealed that each strain
encoded approximately 100 reductases and 50 peptidases.
Proteomic analysis identi#ed >70 reductases and at least 40
peptidases, except for F. changbaicum CBS-1T and F. pennivorans
T, with 32 and 39 detected peptidases, respectively (Table 2). The
strain with the highest number of upregulated reductases and
peptidases was again the non-keratinolytic strain F. gondwanense
DSM13020T, with 26 and 16, respectively, approximately 35% of the
total of both types of enzymes. Among the keratinolytic strains,
F. islandicum H-21T showed the highest number of upregulated
reductases (21), accounting for 28% of the total identi#ed
reductases. This contrasts with the sparse number of di'erentially
detected peptidases, with only three being the lowest among all the
strains studied. The fraction of upregulated reductases in the other
strains ranged from 10 (11% of the total identi#ed) for
F. pennivorans DSM9078T to 20 (29% of the total identi#ed) for
F. changbaicum CBS-1T. The number of upregulated peptidases was
lower, even more so than that of the reductases, ranging from 11 in
F. pennivorans DSM9078T (25% of the total identi#ed) to 7 in
changbaicum CBS-1T (22% of the total identi#ed). The accession
numbers of the upregulated peptidases and reductases identi#ed
in each strain are listed in Supplementary Table S1.
H-21T were analyzed using the BlastKOALA (KEGG Orthology
and Links Annotation) tool. A total of 111 proteins (69.8% of
sequences) from the dataset of F. pennivorans T, 137 (62.8% of
sequences) from Fervidobacterium sp. GSH, and 81 (64.8%) from
F. islandicum H-21T were successfully annotated. The largest
KEGG category was related to the carbohydrate metabolism
pathways, with 19 entries from F. pennivorans T and 26 from
Fervidobacterium sp. GSH, and 18 from F. islandicum
H-21T. Additionally, amino acid metabolism pathways included 15
proteins from F. pennivorans T and 11 proteins from
Fervidobacterium sp. GSH and eight from F. islandicum H-21T
(Supplementary Figure S2).
Keratinolytic and non-keratinolytic strains
comparison
The sequences of the upregulated peptidases identi#ed in the most
active strains, F. pennivorans T, Fervidobacterium sp. GSH and
F. islandicum H-21T, were blasted against the proteome of
F. gondwanense DSM13020T, a non-keratinolytic member of
Fervidobacterium, using the protein sequences of F. pennivorans T. A
total of 20 proteins were considered in this analysis. Six of them
(QIV79356.1, QIV78721.1, QIV79147.1, QIV78659.1, QIV78935.1
and QIV78782.1) were not detected in F. gondwanense. The amino
acid identity of these proteins ranged from 22.7 to 88.6%, with a
median value of 80.4%. Interestingly, orthologues of three peptidases
previously categorized as “true” keratinases (Qiu et al., 2020)
(QIV78374.1, QIV78926.1 and QIV78937.1) were strongly
downregulated in F. gondwanense. Furthermore, the amino acid
identity of QIV78926.1 and QIV78937.1 compared to the orthologues
of F. gondwanense was 55.3 and 54.9%, respectively (Table 3).
Transcriptomics
Deep mRNA sequencing (62.3 GB data) led to high coverage
per sample: 2,813 ( for F. pennivorans T and 2,361 ( for
Fervidobacterium sp. GSH, and 2,141 ( for F. islandicum
H-21T. More than 90% of the reads mapped to annotated genomes
for all samples, except for two replicates with slightly lower values.
In general, the broken pairs remained below 2% for all the samples
(Supplementary Tables S2–S4). Following normalization and
statistical analysis with DESeq2, 1,716 genes (FDR < 0.05) were
identi#ed in F. pennivorans T and 1,398 in Fervidobacterium sp.
GSH, and 953 in F. islandicum H-21T. Less than half of these genes
were overexpressed (Fold >1.5) in F. pennivorans T and
Fervidobacterium sp. GSH (728 and 665, respectively), whereas 502
genes were overexpressed in F. islandicum H-21T compared with
the feather- and glucose-grown cells. Heatmaps drawn using the
50 most overexpressed and the 50 most underexpressed genes of
the three strains are shown in Figure 3, which shows strong genetic
reprogramming in the three strains to adapt to the carbon source.
Furthermore, the expression of some genes was higher a&er 18 h
of growth, whereas others were more abundant a&er 40 h,
indicating that some genes were switched on and o' earlier than
others when these strains were growing with chicken feathers.
KEGG functional analysis
The sequences of signi#cantly upregulated proteins in
F. pennivorans T, Fervidobacterium sp. GSH and F. islandicum
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Peptidases and oxidoreductases
The expression of 47 genes annotated as peptidases or proteases
was signi#cantly (FDR < 0.05) modi#ed in the F. pennivorans T
transcriptome, 19 of which were overexpressed in either the 18 or
40 h samples.
Several enzymes with keratinolytic potential have been
identi#ed, including metallopeptidases (QIV78118.1, QIV79325.1,
QIV79356.1, QIV79147.1, QIV78781., QIV78721.1, QIV78572.1,
and QIV79192.1), carboxypeptidases (QIV79319.1), and serine
peptidases (QIV78782.1, QIV78937.1). For Fervidobacterium sp.
GSH, 36 peptidases or proteases were identi#ed in the
transcriptome. A total of 21 of these enzymes were signi#cantly
overexpressed in the 18 or 40 h samples. Among these enzymes,
metallopeptidases (XEY13048.1, XEY13256.1, XEY12292.1,
XEY11656.1, XEY12216.1, XEY12589.1 and XEY12665.1) or serine
peptidases (XEY11827.1, XEY11654.1 and XEY11509.1). Finally,
27 of these enzymes were identi#ed in the proteome of F. islandicum
H-21T (FDR < 0.05), 14 of which were overexpressed in the samples
harvested a&er 18 or 40 h. Several overexpressed metallopeptidases
(XEY11075.1, XEY09864.1, XEY10359.1 and XEY10721.1) and
serine peptidases (XEY09860.1 and XEY09564.1) were also found
in this bacterium. Notably, three of these genes were overexpressed
in feather-grown cells of all three strains: two metallopeptidases of
the M42 and M55 subfamilies, a serine S9 family protease, and the
dipeptidase PepV. In addition, a gene annotated as an
ATP-dependent Clp protease ATP-binding subunit was
overexpressed in all three strains.
Supplementary Table S5 shows the most overexpressed and most
upregulated peptidases, proteases and oxidoreductases detected across
the analyzed strains in both Transcriptomics and Proteomics analyses.
This table also includes the fold-changes, Enzyme Commission (EC)
numbers and the amino acid percentage identity.
Only a fraction of the statistically signi#cant peptidases and
proteases detected in these three strains is overexpressed in the
presence of feathers, suggesting that not all peptidases of these
strains are necessary for keratin degradation. Some of them had
high expression levels only at one of the kinetic points, that is, a&er
18 or 40 h of incubation, with only a few of these genes found to
be active throughout the entire incubation period in
feather cultures.
Keratin degradation begins with the action of different
oxidoreductases. A total of 76 of these genes were detected in the
transcriptome of F. pennivorans T, 38 of which were overexpressed.
Regarding Fervidobacterium sp. GSH, 39 overexpressed
reductases within a total of 65 significant ones were identified, a
similar number compared to F. pennivorans T. Finally, 46
reductases were identified among the significant genes in
F. islandicum H-21T, 29 of which were overexpressed in the
feather cultures, a lower count compared with the other two
strains. Seven reductases were overexpressed in all three strains,
suggesting that they were important for the reaction. These
enzymes were identified as Glu/Leu/Phe/Val dehydrogenase,
2-oxoacidacceptor oxidoreductase subunit alpha, NAD (P)/
FAD-dependent oxidoreductase, NADH-quinone oxidoreductase
subunit NuoF, SDR family oxidoreductase, L-threonine
3-dehydrogenase, 2,4-diaminopentanoate dehydrogenase, and
2-hydroxyacid dehydrogenase.
gondwanense is unable to grow on feather keratin, its genes were regulated in its presence/absence.
The total number of enzymes annotated in the genomes, the detected proteins in the analysis, and the number of signi#cantly upregulated reductases and peptidases are shown. The total spectral count in the glucose (Glc) and feather (F) cultures is also included. Proteins with a spectral count >50 a&er normalization were considered. * While F.
-,-,116
2,-,397
1,984
F. gondwanense
DSM13020T*
206
-,-,292
1,-,256
1,980
F. changbaicum
CBS-1T
123
9
40
1,-,066
2,-,462
1,973
Fervidobacterium
sp. 21710
362
11
44
1,038
1,-,784
3,-,436
1,947
F. pennivorans
DSM9078T
279
-,-,157
1,-,430
1,987
F. islandicum
H-21T
90
-,-,869
3,-,389
1,871
Fervidobacterium
sp. GSH
173
1,311
2,416
1,310
1,828
F. pennivorans T
177
Total
Strain
Exoproteome
Cellular
proteome
22
15
148
509
84
Glc
F
70
11
49
1,350
701
39
8
Identified Upregulated
F
Glc
Spectral
Count
Identified Upregulated Total
Spectral
Count
Total
Reductases
10.3389/fmicb-
Upregulated Downregulated Upregulated Downregulated
secreted
secreted
cellular
cellular
Total identified
TABLE 2 Proteomics overview of the number of proteins detected with at least 2 peptides and numbers of significantly up-and downregulated proteins.
Peptidases
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FIGURE 2
Volcano plot representations of the proteins identified in the cellular proteome of the described strains. The green dots represent the under-detected
proteins in the feather condition compared to the glucose condition, and the red dots indicate the over-detected ones, with a |fold| threshold of 1.5.
The statistical threshold was set at 0.05, with those proteins not significantly modified in terms of abundance, i.e., with higher p-values, as well as nonregulated proteins, indicated in blue.
Notably, more than half of the reductases of F. pennivorans T
and Fervidobacterium sp. GSH were switched on after only 18 h
of incubation, whereas only a few were overexpressed after 40 h
of incubation; thus, they can be considered late-induced
reductases. This suggests that more reductases are activated
during the early stages of bacterial growth. F. islandicum H-21T
did not exhibit a clear pattern. Most of the overexpressed
reductases identified in this strain were found after 48 h of
incubation, with only a few that could be considered early
induced reductases. This behavior may also explain the longer
time required by this bacterium to adapt to changes in the carbon
source and fully degrade feathers.
Among the most abundant proteins in the supernatants of feather
cultures, both peptidases and reductases were detected, along with
other enzymes such as speci#c ABC substrate-binding transporters.
Additionally, the proteins found upregulated in the three most active
strains and their functional annotations are available in a separate
Excel #le as Supplementary Table S6.
respectively. In addition, 15 features were assigned to the STRING
cluster CL: 2832 (FDR = 0.03), which is related to bacterial
extracellular solute binding (Figure 4).
For Fervidobacterium sp. GSH, lysine degradation (fpe00310, FDR
0.00047), and glycine, serine, and threonine metabolism (fpe00260,
FDR 0.0017) pathways were signi#cant. Additionally, several
biological processes annotated in the Gene Ontology database were
detected, some of which were related to keratin and protein
degradation processes. Overall, 384 edges were created in the network
over the expected number of 209 edges with a p-value lower than
1.0e−16 (Figure 5).
Finally, for F. islandicum H-21T, 74 selected features provided
a STRING network with 60 edges (p = 7.71e-05). In this case,
11 features of the oxidoreductase activity STRING-related
cluster (CL: 934) were annotated with a significant FDR of
0.0207. Five features of the lysine degradation pathway in KEGG
(fia00310) were identified and annotated with an FDR of 0.017
(Figure 6).
Proteomics and transcriptomics
integration
A model of keratin degradation
A hypothetical model for keratin degradation is presented in
Figure 7, showing overrepresented candidate oxidoreductases,
peptidases and speci#c peptide binding proteins and transporters
of F. pennivorans T in the feather cultures. The location (extra-or
intracellular) of the enzymes re%ects their presence in the
upregulated exo-or cellular proteome. The exo-and endopeptidase
assignation is based on MEROPS database. The process starts when
cells of F. pennivorans T bind to the feather. At this point, cellbound and extracellular features would start the reaction. Both
extracellular oxidoreductases (QIV79098.1, QIV79321.1), exo(QIV79356.1), endo- (QIV79267.1) and oligopeptidases
A total of 164 overrepresented features of F. pennivorans T were
identi#ed by combining the results of transcriptomic and proteomic
analyses. The interactions between these features were analyzed using
the STRING tool. A network with 325 edges with an estimated
p-value lower than 1.0e−16 was obtained. This network indicates a
high number of statistically relevant interactions, that is, biologically
relevant connections. Among the clusters identi#ed using STRING,
a group of features related to lysine degradation stood out, with 10
and 8 features annotated in the STRING cluster CL: 3375
(FDR = 0.03) and the KEGG pathway fpe00310 (FDR = 0.003),
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TABLE 3 Peptidase comparison across the most active strains and the non-keratinolytic F. gondwanense*.
Functional
annotation
Fervidobacterium
pennivorans T
Fervidobacterium
sp. GSH
Fervidobacterium
islandicum H-21ᵀ
Fervidobacterium
gondwanense
DSM13020ᵀ
% Identity F.
pennivorans T
F.
gondwanense
Fold Change F.
gondwanense
DSM13020ᵀ
M48 family
QIV78659.1
XEY11950.1
XEY09979.1
XEY03790.1
63.60%
Undetected
QIV78721.1
XEY11881.1
XEY09904.1
XEY03712.1
86.10%
Undetected
S9 family peptidase
QIV78782.1
XEY11827.1
XEY09860.1
XEY05362.1
22.70%
Undetected
M42 family
QIV78935.1
XEY11656.1
XEY09629.1
XEY04549.1
40.20%
Undetected
Peptidase M55
QIV79147.1
XEY12292.1
XEY10359.1
XEY04413.1
74.80%
Undetected
M42 family
QIV79356.1
XEY13256.1
XEY11379.1
XEY04549.1
88.00%
Undetected
Aminopeptidase
QIV78194.1
XEY12978.1
XEY10989.1
XEY04186.1
82.30%
27.70
Carboxypeptidase
QIV78128.1
XEY13038.1
XEY11065.1
XEY04784.1
66.70%
7.33
Dipeptidase PepV
QIV78327.1
XEY11555.1
XEY09511.1
XEY05364.1
83.20%
7.29
M42 family
QIV78118.1
XEY13048.1
XEY11075.1
XEY04774.1
73.70%
4.00
QIV79267.1
XEY11596.1
XEY09564.1
XEY03519.1
83.40%
2.52
QIV78519.1
XEY13122.1
XEY11160.1
XEY05042.1
82.60%
1.54
QIV79343.1
XEY11657.1
XEY09630.1
XEY04818.1
84.20%
−2.43
QIV78699.1
XEY11904.1
XEY09928.1
XEY03738.1
71.40%
−2.59
QIV78895.1
XEY11702.1
XEY09672.1
XEY04868.1
78.50%
−3.00
QIV78926.1
XEY11666.1
XEY09639.1
XEY04828.1
55.30%
−3.67
QIV78937.1
XEY11654.1
XEY09623.1
XEY03572.1
54.90%
−6.82
S41 family peptidase
QIV79051.1
XEY12183.1
XEY10221.1
XEY04539.1
84.20%
−9.33
ATP-dependent Clp
QIV79179.1
XEY11435.1
XEY11261.1
XEY04710.1
83.90%
−9.67
QIV78374.1
XEY11509.1
XEY09446.1
XEY05306.1
88.60%
−24.80
metallopeptidase
Zinc
metallopeptidase
metallopeptidase
metallopeptidase
M32
metallopeptidase
Do family serine
endopeptidase
ATP-dependent
protease subunit
HslV
M42 family
metallopeptidase
Beta-aspartylpeptidase
Type I methionyl
aminopeptidase
S8 family serine
peptidase
S8 family serine
peptidase
protease ATPbinding subunit
ClpX
S8 family peptidase
*All upregulated peptidases (bold characters) detected either in F. pennivorans T, Fervidobacterium sp. GSH and F. islandicum were included. Orthologues of known keratinases are italicized.
Discussion
(QIV78327.1) that could potentially participate in this step are
shown. Smaller peptides would be captured by speci#c substrate
binding proteins (QIV77877.1, QIV78038.1) and transferred into
the cytoplasm by speci#c permeases [QIV77875.1, a dipeptide
transporter, as predicted by sequence comparison (Consortium,
2024)]. Then, cellular oxidoreductases (QIV78122.1, QIV78923.1)
would reduce the disul#de bonds and a combined action of cellular
exo- (QIV79147.1), endo- (QIV78374.1) and oligopeptidases
(QIV78128.1) would decompose the peptides and #nish
the degradation.
Frontiers in Microbiology
Keratin is a robust and recalcitrant protein that is slowly degraded
despite its high occurrence in nature. While several microorganisms
can break down feather keratin, only a few are thermophilic, and a
minority are anaerobic (Daroit and Brandelli, 2014; Sahni et al., 2015;
Srivastava et al., 2020). This study assessed the keratinolytic capabilities
of all available isolates in the genus Fervidobacterium, a group of
bacteria known to count with keratinolytic members, and investigated
and compared their transcriptomes and proteomes when grown with
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FIGURE 3
Heatmap representation with the most promiment genes among the significantly expressed features of F. pennivorans T, Fervidobacterium sp. GSH,
and F. islandicum H-21T. The columns represent the different samples, corresponding to the substrates used in the experiment: glucose and chicken
feathers. The rows indicate the relative abundance of the genes, from high (red) to low expression (green).
respectively and compared with their orthologues in F. pennivorans
T, suggesting potential deficiencies in their sequence and/or
structure, particularly in QIV78926.1 and QIV78937.1. So, these
three enzymes may be required for successful feather degradation
and can be good candidates to be further explored as keratinolytic
enzymes. Furthermore, genus Fervidobacterium has undergone
several horizontal gene transfer events (Nelson et al., 1999; Frock
et al., 2010; Cuecas et al., 2017) and shows an intricated
evolutionary history (Javier-López et al., 2024), which might have
resulted in the loss or truncation of some of these enzymes.
The pathways involved in keratin degradation remain to
be elucidated. It has been hypothesized that keratin degradation
cannot be completed by a single hydrolytic enzyme, so
keratinolytic organisms may possess and activate multiple and
different enzymes to effectively decompose this recalcitrant
molecule (Huang et al., 2015; Fellahi et al., 2016). Thus, current
hypothesis is that this reaction requires at least oxidoreductases
to cleave the disulfide bonds of the molecule and endo-and
exopeptidases to hydrolyze the exposed peptide bonds (Lange
et al., 2016; Shavandi et al., 2017; Qiu et al., 2020). Furthermore,
it has been previously shown that feather degradation may start
with physical binding of the bacteria to the surface of the feather,
something already described in Fervidobacterium (Kang et al.,
2020; Javier-Lopez et al., 2022) and other taxa (Jeong et al., 2010),
highlighting the importance of intracellular and membranebound enzymes in the process.
Although fervidobacteria possess a similar total number of
these enzymes, their regulation across bacteria in the presence of
keratin varies. Surprisingly, F. gondwanense DSM13020T showed
a higher number of upregulated peptidases and oxidoreductases
than keratinolytic organisms, indicating that fervidobacteria may
not make use of a large number of these enzymes for effective
feather breakdown. The number of overrepresented peptidases
identified in the transcriptomics and proteomics analyses was
similar in the three studied strains. However, the number of
overexpressed oxidoreductases, among the total number of these
enzymes identified in the proteomes, was higher in the
transcriptomics study, particularly in the early log phase,
glucose or chicken feathers to highlight the key molecular players for
feather degradation.
Among the studied organisms, only F. nodosum Rt17-B1T and
F. gondwanense DSM13020T showed no evidence of keratin
degradation. F. riparium 1445tT, F. thailandense FC2004T and
Fervidobacterium sp. 13770 exhibited partial activity, as they broke
down a portion of the feathers with which they were cultured, but the
degradation halted at some point, rendering the reaction incomplete.
The six remaining strains, F. changbaicum CBS-1T, F. islandicum
H-21T, F. pennivorans T, F. pennivorans DSM9078T, Fervidobacterium
sp. GSH and Fervidobacterium sp. 21710 could degrade feather keratin
completely within 72 h. Thus, 6 out of 11 Fervidobacterium strains
displayed clear keratinolytic activity, demonstrating the potential of
this group of bacteria for applications in feather and keratin
degradation reactions. Among the aforementioned strains, three
showed high activity: F. islandicum H-21T, F. pennivorans T, and
Fervidobacterium sp. GSH, being F. pennivorans T particularly efficient
as it could degrade a chicken feather almost completely a&er 48 h
at 70°C.
Between 70 and 92% of the total proteins in bacteria were
identified using label-free shotgun proteomics. Of these, 10–15%
were significantly more abundant in feather cultures, most of
them detected in the cellular proteome, indicating that this
fraction of proteins was upregulated in the presence of feathers.
Surprisingly, F. gondwanense DSM13020T had a high number of
upregulated proteins despite its inability to damage the integrity
of feathers. This indicated that the growth of this bacterium halted
when the yeast extract supplement in the culture was depleted. A
comparison of the upregulated peptidases across the most active
strains with the peptidases of F. gondwanense DSM13020T showed
that several of these enzymes in the latter were downregulated in
the feather cultures, suggesting deficiencies in the regulation of
these enzymes in F. gondwanense DSM13020T, which may explain
the inability of this organism to attack feather keratin. In
particular, the “true” keratinases QIV78374.1, QIV78926.1 and
QIV78937.1 were strongly downregulated in F. gondwanense
whereas clearly upregulated in the keratinolytic strains. These
three enzymes shared a sequence identity of 88.6, 54.9 and 55.3%,
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FIGURE 4
Protein and gene network made with STRING. The network contains all the upregulated proteins and genes identified in F. pennivorans T when
growing the bacterium with a chicken feather, compared to cultures grown with glucose. The circles represent the features, and the lines indicate the
connections found by STRING. Features related to lysine degradation are colored in red (STRING cluster CL:3375) and green (KEGG pathway
fpe00310), and those assigned to extracellular solute binding (STRING cluster CL:2832) are colored in blue.
consistent with the hypothesis that oxidoreductases participate in
the first steps of keratin degradation. Although many proteases
have shown keratinolytic activity relying on the previous action of
Frontiers in Microbiology
oxidoreductases, only a few can at least partially degrade keratin
without accessory agents and have thus been categorized as “true
keratinases” (Qiu et al., 2020). Two S8 proteases, one from Bacillus
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FIGURE 5
STRING network built with the upregulated and overexpressed features identified in F. sp. GSH. Overexpressed genes and upregulated proteins when
growing the cells with chicken feathers were used. Green colored circles correspond to features in the lysine degradation pathway (fpe00310) and the
red ones to glycine, serine and threonine metabolism (fpe00260), both from KEGG database.
sp. AH-101 (Takami et al., 1990) and another from the fungus
Onygena corvina (Huang et al., 2015), met these criteria.
F. pennivorans T has three homologues of these keratinases:
QIV78926.1, QIV78374.1 and QIV78937.1, respectively.
QIV78374.1 was upregulated with a fold change of 7.68 in the
proteomics analysis, and QIV78937.1 was overexpressed in both
Frontiers in Microbiology
the transcriptomics and proteomics analyses, with fold changes of
1.76 and 3.08, respectively. Therefore, these three proteases are
potential candidates for catalogs of true keratinases. While sources
and mechanisms of action of keratinases are variate, with a wide
distribution both in prokaryotic and eukaryotic organisms (Qiu
et al., 2020), these three proteases can be classified as S8 serine
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FIGURE 6
STRING network with the upregulated proteins and overexpressed genes of F. islandicum H-21T. The circles represent the features of the bacterium
annotated by STRING and the lines indicate the interactions among them. The features of the CL:934 cluster (Mixed, incl. Oxidoreductase activity, and
Butanoate metabolism, red) and of the fia00310 KEGG Pathway (Lysine degradation, green) are highlighted.
endoproteases, a group of enzymes known to be involved in
keratin degradation (Huang et al., 2015). An identical ortholog of
QIV78937.1, termed fervidolysin (PDB 1R6V), has been described
and expressed (Kluskens et al., 2002). Its 1.7 Å crystal structure
showed four different domains, two sandwich domains, a 14 kDa
propetide and a catalytic triad Asp41-His79-Ser260, composing a
58 kDa mature protein (Kim et al., 2004). An ortholog of the
thermostable alkaline protease from Bacillus sp. AH-101was also
identified in the upregulated proteome of F. pennivorans T
Frontiers in Microbiology
(QIV78926.1). All these proteases are thermostable and active at
high pH (10–12) (Qiu et al., 2020).
Furthermore, six peptidases which were overrepresented in
the feather cultures of F. pennivorans T, Fervidobacterium sp. GSH
and/or F. islandicum H-21T were also confirmed to
be overexpressed in the presence of keratin in a previous work
(Kang et al., 2020) on F. islandicum AW-1: QIV78895.1,
QIV78374.1, QIV78699.1, QIV79319.1, QIV79051.1 and
QIV79147.1. Current work is progressing on enzymatic assays
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FIGURE 7
A model of keratin degradation by Fervidobacterium, made with upregulated enzymes identified in F. pennivorans T. Candidate peptidases and
oxidoreductases start the reaction outside the cell (A), specific peptide binding proteins (B) and transporters introduce smaller peptides into the
cytoplasm (C), where the combined action of cellular oxidoreductases, exo-, endo-and oligopeptidases complete the reaction.
including these and other proteases, showing promising results.
Proteomic and transcriptomic results often show a low correlation
(Gygi et al., 1999), especially in bacteria. Thus, it is challenging to
combine the data from both approaches (Nie et al., 2006). Here,
the STRING networks that merged the upregulated proteins and
overexpressed genes showed robust and meaningful connections
across the overrepresented features, suggesting that most of them
were linked to the response of these organisms to the presence of
feather keratin in the environment. However, it is worth noting
that non-overrepresented features may also participate in the
degradation process, as well as others whose current annotation
is not accurately solved.
down feather keratin. A higher number of reductase-encoding
genes were found in the early log phase of the overexpressed
transcriptomes, implying the involvement of these enzymes in
the initial stages of keratin degradation, congruent with the
current keratin degradation hypothesis. Furthermore, three
potential “true keratinases” were identified in F. pennivorans T:
QIV78374.1, QIV78926.1, and QIV78937.1 but were
downregulated in the feather cultures of the non-keratinolytic
F. gondwanense DSM13020T. Homologs of these enzymes have
already been cataloged as true keratinases, which are active even
in the absence of helper oxidoreductases. The enzymes described
here could expand the current catalog of available keratinolytic
enzymes and may be integrated into industrial applications to
help to mitigate the ecological and environmental challenges
associated with feather waste accumulation.
Conclusion
Based on the keratinolytic assessment of the 11 available
strains of the genus Fervidobacterium, 6 strains, namely
F. changbaicum CBS-1T, F. islandicum H-21T, F. pennivorans T,
F. pennivorans DSM9078T, Fervidobacterium sp. GSH and
Fervidobacterium sp. 21710 showed clear activity, completely
degrading chicken breast feathers within 72 h at high
temperatures (65–80°C). F. islandicum H-21T, F. pennivorans T,
and Fervidobacterium sp. GSH were the most active organisms,
with F. pennivorans disintegrating chicken feathers after 48 h at
70°C. The proteomics results revealed that only a small fraction
of the proteome in the active strains responded to this condition
and was upregulated in the presence of feathers, suggesting that
these bacteria do not need major enzymatic machinery to break
Frontiers in Microbiology
Data availability statement
Mass spectrometry proteomics data are available from the
ProteomeXchange Consortium via the PRIDE partner repository under
the dataset identi#ers PXD054267 and 10.6019/PXD054267
(Fervidobacterium pennivorans T), PXD054278, and 10.6019/PXD054278
(Fervidobacterium sp. GSH), PXD054282 and 10.6019/PXD054282
(Fervidobacterium pennivorans DSM 9078T), PXD054272 and 10.6019/
PXD054272 (Fervidobacterium islandicum H-21T), and PXD054280 and
10.6019/PXD054280 (Fervidobacterium sp. DSM 21710), PXD054285
and 10.6019/PXD054285 (Fervidobacterium changbaicum CBS-1T), and
PXD054269 and 10.6019/PXD054269 (Fervidobacterium gondwanense
14
frontiersin.org
Javier-López et al.
10.3389/fmicb-
Conflict of interest
DSM13020T). The equivalence between the locus tag codes in the PRIDE
tables and the accession numbers available in GenBank database is
available in Supplementary Table S7.
The authors declare that the research was conducted in the
absence of any commercial or #nancial relationships that could
be construed as a potential con%ict of interest.
Author contributions
Generative AI statement
RJ-L: Conceptualization, Data curation, Formal analysis,
Investigation, Methodology, Visualization, Writing – original
draft, Writing – review & editing. MK: Formal
analysis, Investigation, Methodology, Writing – review & editing.
JA: Formal analysis, Funding acquisition, Methodology,
Supervision, Writing – original draft, Writing – review & editing.
N-KB: Conceptualization, Funding acquisition, Project
administration, Supervision, Writing – original draft, Writing –
review & editing.
The authors declare that no Generative AI was used in the creation
of this manuscript.
Publisher’s note
All claims expressed in this article are solely those of the authors
and do not necessarily represent those of their affiliated organizations,
or those of the publisher, the editors and the reviewers. Any product
that may be evaluated in this article, or claim that may be made by its
manufacturer, is not guaranteed or endorsed by the publisher.
Funding
The author(s) declare that #nancial support was received for
the research and/or publication of this article. This research was
funded by the ERA-NET Cofund on Food Systems and Climate
(FOSC) under the European Union’s Horizon 2020 Research and
Innovation Program (grant number 862555), the Research Council
of Norway (Norges Forskningsråd) (grant number 328955) and the
Agence Nationale de la Recherche (grant number
ANR-21-FOSC-0002-04).
Supplementary material
The Supplementary material for this article can be found online
at: https://www.frontiersin.org/articles/10.3389/fmicb-/
full#supplementary-material
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