Marine Microbial Assemblages On Microplastics: Diversity, Adaptation, and Role in Degradation
Marine Microbial Assemblages On Microplastics: Diversity, Adaptation, and Role in Degradation
Marine Microbial Assemblages On Microplastics: Diversity, Adaptation, and Role in Degradation
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Microplastics (particles less than 5 mm in size) are divided into two groups according to their
origin. So-called primary microplastics are directly synthesized for consumer products, such as
hand and facial cleansers, shower gels, or toothpaste (Fendall & Sewell 2009, Gregory 2009).
Along with clothing fibers rinsed out by washing machines, these microplastics can reach the sea
via sewage effluents (Browne et al. 2011). Primary microplastics also include abrasive materials
from the air-blasting industry and virgin preproduction resin pellets lost during transport (Ogata
et al. 2009). Hence, primary microplastics are already on a millimeter size scale when they reach
aquatic environments. Secondary microplastics, on the other hand, are formed from larger floating
plastic fragments as a result of fragmentation in the environment (Arias-Villamizar & Vazquez-
Morillas 2018, Cooper & Corcoran 2010); fragmentation is a main topic in the second part of this
review and is discussed in more detail in Section 4.
The ubiquitous presence of microplastics in the marine environment has been demonstrated.
These plastics not only concentrate in the large ocean gyres but are also found everywhere from
the polar regions (e.g., Peeken et al. 2018) to the equator, from densely populated areas to re-
mote islands (Ivar do Sul et al. 2009), and from beaches (Claessens et al. 2011) down to the deep
sea (Van Cauwenberghe et al. 2013). Plastic particles are found floating at the sea surface, sus-
pended in the water column, and contained in sediments, depending on their density relative
to seawater. Most consumer polymers are less dense than seawater, but the density of a virgin
polymer particle is altered when the end product is manufactured (e.g., increased due to fillers
or decreased by foaming), as well as through aging and biofouling (Harrison et al. 2011, Kaiser
et al. 2017). Consequently, the polymer composition found in environmental samples depends
on the sampling depth. Most of the microplastic particles found in neustonic samples are low-
and high-density polyethylene, polypropylene, and expanded polystyrene (Moret-Ferguson et al.
2010, Reisser et al. 2014). Sediment studies have also reported the accumulation of polymers such
as polyamide, solid polystyrene, polyvinyl chloride, polyurethane, polyester, polyethylene tereph-
thalate, acrylic polyoxymethylene, polyvinyl alcohol, polymethyl methacrylate, and alkyd (Browne
et al. 2010, Hidalgo-Ruz et al. 2012, Moret-Ferguson et al. 2010). Beaches serve as intermediate
environments, connecting land-based debris with aquatic ecosystems, and their sediments can ac-
cumulate all polymer densities. The highest concentration of microplastic particles, at 1.2 × 107
particles per cubic meter, was recently detected in a core taken from the pack ice of Fram Strait
(Peeken et al. 2018).
Dissolved organic pollutants in the ocean interact with microplastics, and this interaction is
dependent on the physicochemical properties of the organic compounds. Microplastics have a
large surface-to-volume ratio when compared with relatively larger plastics and thus are more
likely to accumulate hydrophobic organic substances (Engler 2012, Mato et al. 2001), including
persistent organic pollutants such as polychlorinated biphenyls, polycyclic aromatic hydrocarbons,
and organic chlorine compounds such as DDT. In addition to the polymer, plastics usually contain
potentially toxic plasticizers or additives, which leach into the environment. Therefore, research
is being carried out to determine whether microplastics cause a significant accumulation of toxic
substances in the marine food web. Currently, however, the ecological consequences cannot be
assessed.
The collection of microbial communities inhabiting plastic debris is commonly termed the
plastisphere.
Marine microplastic biofilms are shaped primarily by biogeographical and environmental fac-
tors, such as salinity and nutrient concentration (Amaral-Zettler et al. 2015, Oberbeckmann et al.
2018). Although not as strong a contributor, the microplastic surfaces themselves also influence
the colonization processes, and there has been discussion of whether specific overrepresented and
potentially hydrocarbonoclastic members of marine microplastic biofilms could use plastics as
an energy source because of their ability to degrade highly complex biopolymers such as lignin
and petroleum derivatives (Oberbeckmann et al. 2016, 2018; Ogonowski et al. 2018; Zettler et al.
2013).
In recent years, increasing concern has been raised about the hazard potential of microplastic-
associated microbial communities. Potential pathogens might be distributed into formerly unaf-
fected ecosystems while hitchhiking on microplastics that originated, for instance, from sewage
treatment plants or animal guts (Oberbeckmann et al. 2015). Studies have suggested that members
of the genus Vibrio are particularly enriched on microplastics (Frere et al. 2018, Zettler et al. 2013),
but others have disputed the preferential colonization of microplastics by Vibrio spp. (Bryant et al.
2016, Oberbeckmann et al. 2018, Schmidt et al. 2014). Besides colonization with pathogens, the
role of microplastics as carriers for antibiotic resistance genes has been discussed. In this context,
two freshwater studies compared microplastic assemblages with their corresponding water com-
munities and demonstrated that the microplastic-associated assemblages had an increased transfer
frequency of a plasmid coding for trimethoprim resistance (Arias-Andres et al. 2018) and higher
abundance of the gene int1, a proxy for anthropogenic pollution (Eckert et al. 2018).
Knowledge of the microbial composition of biofilms associated with microplastics has in-
creased in the last five years (Ivar do Sul et al. 2018). The first groundbreaking studies on marine
biofilms on microplastics showed that these communities can differ significantly from those of
the surrounding water (Amaral-Zettler et al. 2015, Bryant et al. 2016, Debroas et al. 2017, Frere
et al. 2018, Oberbeckmann et al. 2014, Zettler et al. 2013). This can be expected, however, since
microbial community compositions on natural particles usually differ from free-living microor-
ganisms (Crespo et al. 2013, Rieck et al. 2015) due to their dissimilar lifestyles as sessile organisms.
Thus, until it is established whether there is a true microplastic-indicative plastisphere, as com-
pared with natural-particle-associated assemblages (e.g., those on wood, cellulose, or glass), the
role of biofilms on microplastics will remain obscure.
The aim of this review is to critically evaluate the potential role of marine microorganisms in
relation to ocean-polluting microplastics. We present the current state of knowledge of marine mi-
crobial assemblages on microplastics, with a focus on pathogenic bacteria, and attempt to deduce
their impact on marine ecosystems and potential risk for humans. We evaluate whether plastic-
specific microbial communities may indicate microplastic degradation, or at least the possibility
of adaptation of microorganisms to its degradation. Based on this evaluation, we critically assess
whether marine bacteria have the potential to remediate the ocean from plastic pollution in the
future and conclude with recommendations for further action in scientific and societal contexts.
polymer surface because it represents the most common plastic pollutant in the ocean. Additional
sequences came from polystyrene, unknown polymers, natural (i.e., control) surfaces (wood, cellu-
lose, and glass), sediment, and, if available, the particle-attached water fraction (>3 μm) or other-
wise the whole surrounding water. In November 2018 we performed independent searches in Web
of Science using the following keywords: microplastic(s) and biofilm(s), microplastic(s) and micro-
bial/bacterial assemblages, microplastic(s) and colonization/colonisation, and microplastic(s) and
plastisphere. This led to a list of 61 peer-reviewed publications, of which 16 represented com-
munity analyses regarding microplastics. We selected studies for the meta-analysis that met the
following criteria: (a) The study had been carried out in marine or brackish waters, (b) the study
used Illumina technology for sequencing, (c) the targeted 16S rRNA fragment contained the V4
region, (d) the data were deposited at the National Center for Biotechnology Information’s Se-
quence Read Archive, and (e) the description of the sampling source in the database was sufficient
(e.g., clear differentiation between seawater and plastic samples). Five studies met all of these cri-
teria: one from the North Sea (De Tender et al. 2015), three from the Baltic Sea (Kesy et al. 2019,
Oberbeckmann et al. 2018, Ogonowski et al. 2018), and one from the Yangtze Estuary ( Jiang et al.
2018). Supplemental Table 1 lists all of the data used in the meta-analysis, and the Supplemental
Appendix describes the methods applied for data processing and statistical analyses.
3.2. Geographical Factors Play a Larger Role than the Particle Surface in
Shaping Biofilms
Our comparative analyses revealed that the plastic itself was a minor factor in determining
microplastic-associated biofilms. Instead, the first-order determinant shaping the bacterial assem-
blages was the sampling area (i.e., geographical region), which discriminated the communities into
distinct clusters, as supported by pairwise PERMANOVA (p = 0.001, North Sea versus Baltic Sea
versus Yangtze Estuary) (Figure 1).
The average similarity between communities from the Baltic Sea and Yangtze Estuary—both
ecosystems strongly influenced by rivers—was 12%, slightly higher than the similarity between
communities from the Baltic and North Seas (7%). Within the area of the Baltic Sea, salinity (and
potentially other factors, which were not available for all studies) seemed to play an important
role in the community composition, as indicated by nonmetric multidimensional scaling ordina-
tion (Figure 1). Overall, the results of this reanalysis are in accordance with previous studies that
showed major differences among microplastic communities from distinct geographical regions
(e.g., Amaral-Zettler et al. 2015). Here, we can expand this statement and show that the influence
of a geographical region is greater than the influence of surface characteristics when comparing
plastic polymers with natural particle surfaces.
Experimental setups, laboratory handling, and extraction methods probably led to distinct bac-
terial sequencing results in different studies, indicating that the study procedures themselves likely
contributed to the differences between samples. This, however, cannot be proven here and is be-
yond the scope of this review.
North Sea
a Baltic Sea
Yangtze Estuary
3.5 (Ogonowski et al. 2018)
14.7 (Oberbeckmann
et al. 2018)
Polyethylene
b Polystyrene
Unknown polymer
Control surface
(cellulose, glass, or wood)
Particle-attached
water fraction
Whole water fraction
Sediment
Figure 1
Nonmetric multidimensional scaling based on a Bray–Curtis similarity matrix of square-root-transformed
relative abundances for the five studies analyzed, with stress = 0.13. (a) Ordination based on the sampling
areas in the North Sea (De Tender et al. 2015), the Baltic Sea (Kesy et al. 2019, Oberbeckmann et al. 2018,
Ogonowski et al. 2018), and the Yangtze Estuary ( Jiang et al. 2018). The salinities of the three studies from
the Baltic Sea are also given. (b) Ordination based on the different sample types.
Zettler et al. 2013). Ogonowski et al. (2018) detected similar α-diversities among all tested biofilm
communities but higher values for water communities and explained this result with an overall
substrate-driven selection. Kettner et al. (2017) found that the fungal α-diversity of microplastic
assemblages was lower than or analogous to those of wood and water assemblages, depending on
spatial factors.
When investigating the β-diversity in our meta-analysis, bacterial communities associated with
different polymer types did not show significant differences (pairwise PERMANOVA, p > 0.01,
polyethylene versus polystyrene versus unknown; see Supplemental Table 2). Furthermore,
polystyrene-colonizing communities did not significantly differ from communities on natural con-
trol surfaces (p = 0.127). Communities from all other sample types were significantly different.
Some of these differences, however, were also identified as significant by PERMDISP compar-
isons (e.g., polyethylene versus control surface; Supplemental Table 2), hinting at dispersion
effects. This means that differences in variability within the sample data sets, rather than the ac-
tual sample characteristics, may have led to the significant result. The influence of the particle
surface on its colonization can be shaped by characteristics such as degradability, hydrophobicity,
electric charge, or roughness, or indirectly via the formation of a conditioning film over the par-
ticle. This probably explains why some studies have reported differences between communities
associated with microplastics and natural particles such as cellulose (Ogonowski et al. 2018), the
particle-attached water fraction (Dussud et al. 2018), or sediment (De Tender et al. 2015). Also,
an incubation experiment in the Baltic Sea demonstrated a differentiation between assemblages
on polyethylene and polystyrene from assemblages on wood (as a model of a natural particle),
but only under certain environmental conditions (Kettner et al. 2017, Oberbeckmann et al. 2018),
highlighting the importance of the sampling area in the development of the microbial biofilm.
Like other bacteria that prefer an attached over a free-living lifestyle (e.g., Nesse & Simm
2018), we can assume that overall most microplastic-biofilm members are opportunistic general
colonizers. Even early colonizers might be attracted not by the polymer surface itself but rather by
the conditioning film, which increases (for instance) their access to nutrients. This is the case for all
particles in suspension in the oceans and does not represent a microplastic-specific phenomenon
(e.g., Witt et al. 2011). The family Rhodobacteraceae, for example, is well known for its early
and abundant colonization of a broad range of particle surfaces (Dang & Lovell 2016, Elifantz
et al. 2013, Mata et al. 2017, Moura et al. 2018) and also colonizes polyethylene microplastics, as
revealed by our reanalysis (see Section 3.4).
Other opportunistic colonizers seem to be particularly successful in occupying microplastics as
their niche. Several studies have reported that members of the family Hyphomonadaceae thrive on
microplastics (Bryant et al. 2016, Oberbeckmann et al. 2018, Zettler et al. 2013), probably because
they are able to adhere firmly to the smooth plastic surface by forming the polysaccharide holdfast
and because their prosthecae enable more efficient nutrient uptake compared with other biofilm
members.
When analyzing all operational taxonomic units (OTUs) from our meta-analysis that reached
a mean relative abundance of more than 2% in at least one sample type, we found a high similarity
among bacterial communities associated with polyethylene, polystyrene, and natural particles
(Figure 2). However, some bacteria appeared to prefer polyethylene (OTU 0002, unclassified
Flavobacteriaceae; OTU 0006, unclassified γ-proteobacteria), polystyrene (OTU 0005, Hy-
drogenophaga; OTU 0011, Blastomonas; OTU 0027, Pseudomonas; and OTU 0048, Marinomonas),
or unknown polymer types (OTU 0017, Erythrobacter). Abundant OTUs associated with unknown
polymers were in several cases classified as members of the Sphingomonadaceae family, which the
core analysis showed play an important role in polyethylene-associated communities (see Section
3.4). We can deduce that, first, those unknown polymers are in fact polyethylene microplastics
or that, second, members of these family are particularly associated with microplastics, such as
polyethylene and polystyrene.
After the genera of the formerly independent family Erythrobacteraceae had been assigned to
the family Sphingomonadaceae, according to release 132 of the SILVA database, this family be-
came an important one—if not the most important one—associated with microplastic-associated
biofilms. Two characteristics of this bacterial family might lead to its dominance in microplas-
tic biofilms: its ability to degrade hydrocarbons and its formation of carotenoids. Due to their
Particle-associated
Control surface
water fraction
Polyethylene
Whole water
Polystyrene
Unknown
Sediment
polymer
fraction
OTU 0001 α-Proteobacteria; Rhodobacteraceae_uncl 0.4
OTU 0002 Bacteroidia; Flavobacteriaceae_uncl
relative abundance
OTU 0004 Planctomycetacia; Fuerstia
OTU 0005 γ-Proteobacteria; Hydrogenophaga
OTU 0006 γ-Proteobacteria; γ-Proteobacteria_uncl
0.2
OTU 0007 Bacteroidia; Flavobacteriaceae_uncl
OTU 0009 γ-Proteobacteria; Shewanella
OTU 0010 γ-Proteobacteria; Neptunomonas
OTU 0011 α-Proteobacteria; Blastomonas 0.1
OTU 0013 γ-Proteobacteria; Pseudomonas
OTU 0014 γ-Proteobacteria; Paraglaciecola
OTU 0017 α-Proteobacteria; Erythrobacter 0
OTU 0020 α-Proteobacteria; Hyphomonas
OTU 0023 Verrucomicrobiae; Prosthecobacter
OTU 0027 γ-Proteobacteria; Pseudomonas
OTU 0029 γ-Proteobacteria; Pseudoalteromonas
OTU 0030 α-Proteobacteria; Amylibacter
OTU 0046 Oxyphotobacteria; Snowella_0TU37S04
OTU 0048 γ-Proteobacteria; Marinomonas
OTU 0052 α-Proteobacteria; SAR11_clade_Ia
OTU 0065 α-Proteobacteria; Planktomarina
OTU 0073 γ-Proteobacteria; B2M28_ge
OTU 0075 Bacteroidia; Tenacibaculum
OTU 0106 Verrucomicrobiae; Persicirhabdus
OTU 0131 γ-Proteobacteria; Woeseia
OTU 0133 γ-Proteobacteria; γ-Proteobacteria_uncl
OTU 0166 Atribacteria; JS1_ge
OTU 0167 γ-Proteobacteria; OM43_clade
OTU 0176 δ-Proteobacteria; uncultured
OTU 0197 γ-Proteobacteria; SAR86 clade_ge
OTU 0210 α-Proteobacteria; Altererythrobacter
OTU 0230 α-Proteobacteria; SAR11_clade_II
OTU 0502 Bacteroidia; Lewinella
OTU 0676 Bacteroidia; Lewinella
OTU 0866 γ-Proteobacteria; Psychrosphaera
OTU 1031 α-Proteobacteria; Sphingomonas
Figure 2
Shade plot illustrating the relative abundances (square root transformed) of operational taxonomic units (OTUs) with a mean relative
abundance of more than 2% in at least one sample type. The displayed sample types are polyethylene (n = 52), polystyrene (n = 12),
unknown polymer (n = 4), control surface (cellulose, glass, or wood; n = 42), particle-attached water fraction (n = 34), whole water
fraction (n = 7), and sediment (n = 18). The hierarchical cluster of sample types on top is based on a Bray–Curtis similarity matrix using
square-root-transformed mean relative abundances of all OTUs from the meta-analysis (including the ones with an abundance of less
than 2%). The class and genus of the OTUs are given according to classification with release 132 of the nonredundant SILVA database.
a b
Sediment
Particle-attached
water fraction
Control surface
Plastic
Sediment
c d
Particle-attached
water fraction
Control surface
Plastic
0.0001 0.001 0.01 0.1 1 10 100 0.0001 0.001 0.01 0.1 1 10 100
the particle-attached water fraction. The reanalysis reveals that microplastics do not per se
represent a higher risk to transport or enrich marine pathogenic microorganisms when compared
with natural particles. Nonetheless, the high durability of plastics, potentially enabling associated
microorganisms to travel longer distances horizontally as well as vertically in the oceans, can
be significant when compared with many natural particles, which biodegrade in shorter time
periods. Considering the sampling area as a major determinant on the community composition
(Amaral-Zettler et al. 2015, Oberbeckmann et al. 2018; see Section 3.2), we can assume that
microplastic-associated bacterial communities will rapidly adapt their composition to changing
environments rather than remaining stable over long distances. Once again, the nature of the
particle will have a small role in the spread of pathogens over large areas.
Another concern related to potential pathogens transported by plastics (including microplas-
tics) is the introduction of invasive species, especially microbial eukaryotes (Barnes & Fraser 2003,
Goldstein et al. 2014, Tutman et al. 2017). In particular, the 2011 tsunami in Japan raised concerns
about the distribution of living organisms via plastic debris (Miller et al. 2018). For example, Maso
et al. (2003) reported the colonization of floating plastic by harmful dinoflagellates (Ostreopsis sp.,
Coolia sp., and Alexandrium taylori) when sampling during a bloom of A. taylori. Likewise, poten-
tially harmful diatom species were found to raft on plastic fragments in Mediterranean coastal
waters (Maso et al. 2016). The specific processes regarding the potential spread of invasive mi-
croorganisms, including harmful microalgae, need to be further investigated.
245 370
Kesy et al. 2019 De Tender et al. 2015
51
100 9
47 8
180 1,109
45
47 390
6 112
64
Figure 4
Venn diagram displaying both study-specific and overlapping core operational taxonomic units (OTUs) in
polyethylene-associated microbial communities sampled in studies in the North Sea (De Tender et al. 2015)
and Baltic Sea (Kesy et al. 2019, Oberbeckmann et al. 2018, Ogonowski et al. 2018). Most OTUs occurred
in just one data set, but 45 were common to all of them (for taxonomy and mean relative abundances, see
Supplemental Table 3).
of the new material (i.e., the plastic), the large quantities of the newly introduced plastic particles
and their biofilms can influence the ecosystem processes in their surroundings, along with other
natural particles. Studies have already demonstrated the immense regulatory potential of biofilms,
particularly in streams, rivers, and intertidal systems (e.g., Battin et al. 2016, Decho 2000, Sabater
et al. 2002). On the other hand, the plastic leachate can significantly increase the dissolved organic
carbon in the oceans (Romera-Castillo et al. 2018), which, in turn, has the potential to increase the
marine microbial activity and its biomass in the oceans. Studies on the functional impact of mi-
croplastic biofilms on ecosystems are scarce and are mostly lacking natural controls to account for
general particle effects. Michels et al. (2018), however, showed that microplastic biofilms promote
the aggregation of plastic and biogenic particles.
One may also speculate that the introduction of microplastics as new surfaces into the ocean
will selectively enrich previously resting or less active members of the marine rare biosphere,
which are most likely subjected to ecological processes such as selection (Galand et al. 2009). If
so, microplastics would increase the number of metabolically active microbial species in the ocean
and potentially affect fluxes of dissolved organic matter.
actively biodegraded. Because biodegradation is the only way of finally remediating the plastic
pollution in the oceans, we discuss the potential of microbial plastic degradation in more detail.
Weathering 0 25
MACROSCALE
Salt
NANOSCALE
Microbial
degradation
Assimilation
?
MOLECULAR
SCALE
Mineralization
Figure 5
Important environmental factors that may potentially catalyze different plastic degradation steps in the ocean. The areas below the
horizontal dashed line indicate steps that can be extrapolated from optimized laboratory experiments (left of the arrow) but still require
confirmation for the ocean (right of the arrow).
plastics, microorganisms can also increase their stability. Biofilms formed on microplastics can
protect the particles from photodegradation in the ocean surface (Weinstein et al. 2016) or in-
crease their relative density to above seawater density, which leads to microplastic sedimentation
and consequently protection from photodegradation ( Jahnke et al. 2017). In combination, these
changes in the plastic properties shift the factors that predominantly determine the potential plas-
tic degradation from physicochemical forces to microbial activity. As a consequence, the highest
remineralization rates of synthetic polymers are expected in the size range of smaller microplastics
(Figure 5).
Synthetic polymers are energy rich and theoretically represent a good source of energy and
carbon for microorganisms. For instance, the maximum usable energy for the complete oxidation
of polyethylene would be between −422 and −425 kJ per mole of O2 , similar to that of glucose
(−479 kJ per mole of O2 ), which is a well-known bacterial substrate. In terms of oxygen, extend-
ing the chain by more CH2 units hardly makes a difference. The complexity level of synthetic
polymer depolymerization is determined instead by the polymer’s hydrolyzability. Nonhydrolyz-
able plastics, such as polyethylene and polypropylene, consist of C-C-bond backbones where the
polymer must be cleaved into smaller molecules by redox reactions before its assimilation by cells
(Gewert et al. 2015, Krueger et al. 2015). By contrast, hydrolyzable plastics such as polyethylene
terephthalate and polyamide, which contain well-degradable structural elements like amide or
ester bonds, could be cleaved enzymatically or via hydrolysis, analogously to natural substrates
such as lignin or cellulose (Gewert et al. 2015, Krueger et al. 2015). However, the accessibility of
the bonds by the crystalline structure of the plastic surface can be as complex as, for example, that of
lignocellulose. Hydrolysis of lignocellulose, which is a natural substrate, depends on extracellular
lignin-modifying enzymes, including manganese peroxidase, versatile peroxidase, lignin peroxi-
dase, and multicopper oxidase laccase to initiate cometabolic biodegradation of lignin (Krueger
et al. 2015). Hydrolases (lipases and cutinases) have been described for the polymer polyethylene
terephthalate, a member of the polyester family that is formed by the monomers ethylene glycol
and terephthalic acid. The bacterium Ideonella sakaiensis, which has been isolated outside a plastic
bottle recycling facility, was able to cleave polyethylene terephthalate using two hydrolases and
thus biodegrade their monomers completely. The result was bacterial growth based exclusively on
polyethylene terephthalate energy sources (Yoshida et al. 2016).
Although polyethylene terephthalate biodegradation by Ideonella sakaiensis so far represents
the only example of complete plastic mineralization by bacteria, it was reached under optimal
laboratory conditions that do not represent natural environments. In the marine environment,
where conditions are more complex, the potential degradation of synthetic polymers follows the
biodegradation decalogue of Alexander (1975), a famous terrestrial soil microbiologist who stud-
ied the microbial decomposition of xenobiotic chemicals. Alexander’s biodegradation decalogue
specified under which conditions microorganisms should not metabolize a substrate. In the context
of microplastic pollution in the marine environment, three of Alexander’s (1975) commandments
describe especially well why highly dense and hydrophobic polymers should have low biological
degradability: A compound should not be degraded if the molecule is too large to penetrate the
cell (commandment 5), the compound concentration in aqueous solution is extremely low (com-
mandment 6), or the cleavage sites of the compound are hard to access (commandment 10). In
reference to these commandments, we can deduce that, in the marine environment, it is not the
energy content of synthetic polymers but factors such as the extremely low bioavailability and high
chemical stability that will determine the substrate quality (i.e., propensity to biodegradation) of
microplastics.
To explore the scientific literature from Alexander’s decalogue in 1975 to the most recent pa-
pers, we performed a literature search in Web of Science with a set of keywords related to both
(micro)plastics and degradation in marine systems (Table 1). The retrieved papers reflect the
limited findings regarding the biodegradability of synthetic polymers in the oceans. Of the 185
retrieved papers, 69 matched with the topic under analysis. Of these, 46 were related to the oc-
currence or quantification of fragmented plastics in the environment, as well as to (micro)plastic
degradation experiments under laboratory conditions (Table 1). The other 23 papers (one-third
of the 69 that matched the topic) were literature review papers. There seems to be a high ratio of
reviews to research papers when compared with other research topics, which indicates that (mi-
cro)plastics have been a hot topic of interest in the last few decades that has been explored by
scientists of different disciplines.
The search revealed that the weathering of plastics and microplastics, according to the defini-
tion by Andrady (2017), has been experimentally proven and observed in situ. Also, although the
fragmentation process is difficult to observe in the marine environment, and a global mass inven-
tory of ocean plastics still depends on educated guesses (Koelmans et al. 2017, Thompson et al.
2004), secondary microplastics, which are the direct result of plastic fragmentation, have been de-
tected in all marine habitats (see examples in Table 1) and represent the ubiquity of (micro)plastics
in the world oceans.
By contrast, the potential biodegradation of (micro)plastics catalyzed by marine microorgan-
isms in marine environments has only been assumed based on the weight loss of plastics during
Table 1 Research papers resulting from literature searches in Web of Science (topics),a which reflect the fact that the
final biodegradability of synthetic polymers in the ocean remains to be demonstrated
Study Typeb Degradation stepc Size classificationd Plastic typee
Ioakeimidis et al. 2016 ◦ W Macro PET
Lobelle & Cunliffe 2011 ♦ W Macro PE
Arias-Villamizar & ♦ W Meso HDPE
Vazquez-Morillas 2018
Artham et al. 2009 ♦ W∗ Meso LDPE, HDPE, PC, PP
Balasubramanian et al. 2010 ♦ W∗ Not described PE
Devi et al. 2015 ♦ W∗ Not described HDPE
Karlsson et al. 2018 ♦ W Not described PE
Khaled et al. 2018 ♦ W Not described PS
Muthukumar et al. 2011 ♦ W∗ Meso CFRP, GFRP, PET, PUR,
SR, SF
Welden & Cowie 2017 ♦ W∗ Meso PA, PE, PP
Sudhakar et al. 2008 ♦ W∗ Meso LDPE, HDPE
Nauendorf et al. 2016 ♦ W∗ Meso PE
Syranidou et al. 2017a ♦ W∗ Meso PS
Syranidou et al. 2017b ♦ W∗ Meso PE
Mohanrasu et al. 2018 ♦ W∗ Meso HDPE
Dussud et al. 2018 ♦ W Meso PE
Fotopoulou & ◦ W Micro PE, PP
Karapanagioti 2012
Paco et al. 2017 ♦ W∗ Micro PE
Auta et al. 2017b ♦ W∗ Micro PE, PET, PP, PS
Auta et al. 2018 ♦ W∗ Micro PP
Cai et al. 2018 ♦ W Micro PE, PP, PS
Da Costa et al. 2018 ♦ W Micro PE
Costa et al. 2011 ◦ F All sizes Marine debris
Alshawafi et al. 2017 ◦ F All sizes Marine debris
Cozar et al. 2014 ◦ F All sizes Marine debris
Cozar et al. 2017 ◦ F All sizes Marine debris
Eriksen et al. 2014 ◦ F All sizes Marine debris
Fok & Cheung 2015 ◦ F All sizes Marine debris
Thornton & Jackson 1998 ◦ F All sizes Marine debris
Tsiota et al. 2018 ♦ F Microplastics generation HDPE
Weinstein et al. 2016 ♦ F Microplastics generation HDPE, PP, PS
Hodgson et al. 2018 ♦ F Microplastics generation HDPE
Song et al. 2017 ♦ F Microplastics generation EPS, PE, PP
Fok et al. 2017 ◦ F Micro/meso Marine debris
Palombini et al. 2018 ◦ F Micro/meso Marine debris
Reisser et al. 2014 ◦ F Micro/meso Marine debris
Debroas et al. 2017 ◦ F Micro/meso Marine debris
Jang et al. 2018 ◦ ♦ F Micro PS
Jiang et al. 2018 ◦ F Micro PE, PP, PS
Jungnickel et al. 2016 ♦ F Micro PE
(Continued)
Table 1 (Continued)
Study Typeb Degradation stepc Size classificationd Plastic typee
Lenz et al. 2015 ◦ F Micro Marine debris
Naidu et al. 2018 ◦ F Micro Marine debris
Sagawa et al. 2018 ◦ F Micro Marine debris
Frias et al. 2016 ◦ F Micro Marine debris
Acosta-Coley & ◦ F Micro Microplastic resin pellets
Olivero-Verbel 2015
Chubarenko et al. 2018 ◦ F Micro Marine debris
a
The keywords for the searches were entered as follows (with individual searches separated by semicolons): microplastic & microbial biodegradation;
microplastic & fragmentation; plastic & microbial degradation & marine; synthetic polymer & microbial degradation & marine; plastic & fragmentation
& marine; synthetic polymer & fragmentation & marine; plastic & biodegradation & marine; synthetic polymer & biodegradation & marine; microplastic
& biodegradation; microplastic & biodegradation.
b
◦, environmental study; ♦, experimental study.
c
W, weathering; F, fragmentation; ∗, weight loss was determined, but the degradation of leachates or mineralization of plastics was unproven.
d
Macro, >20 cm; meso, 0.5–20 cm; micro, <0.5 cm.
e
CFRP, carbon-fiber-reinforced plastic; EPS, extracellular polymeric substance; GFRP, glass-fiber-reinforced polymer; HDPE, high-density
polyethylene; LDPE, low-density polyethylene; PA, polyamide; PC, polycarbonate; PE, polyethylene; PET, polyethylene terephthalate; PP, polypropylene;
PS, polystyrene; PUR, polyurethane; SF, syntactic foams; SR, silicone rubber.
in situ or laboratory experiments, and there have been fewer papers on this topic than on plastic
weathering or fragmentation processes. For instance, a 12-month experiment in the Bay of Bengal,
India, revealed a weight loss of 0.65–1.9% for low- and high-density polyethylene, polycarbonate,
and polypropylene (Artham et al. 2009). Relatively higher weight losses have been determined
in vitro when using microbial strains isolated from plastics in the marine environment. Bacte-
ria from genera such as Bacillus, Rhodococcus (Auta et al. 2017a,b), Arthrobacter, and Pseudomonas
(Balasubramanian et al. 2010) were related to weight losses of up to 7.4% for polyethylene mi-
croplastic particles (Auta et al. 2017b) and 15% for relatively larger high-density polyethylene
films (Balasubramanian et al. 2010). Analogous degradation studies with fungi reported weight
losses of up to 8.5% for high-density polyethylene degraded by Aspergillus sp. after 30 days of in-
cubation (Devi et al. 2015) and more than 43% for polyethylene degraded by Zalerion maritimum
after 14 days of incubation (Paco et al. 2017).
Thus, plastic weight loss can reach promisingly high values in comparatively short time frames,
but the fact remains that this approach does not cover all aspects of the biodegradation process.
Weight loss alone, even in combination with microbial growth, cannot discriminate between the
degradation of polymers and the degradation of additives or monomers. Due to incomplete poly-
merization processes, the latter may also constitute a substantial proportion of the final plastic
product and are often easily microbially mineralized, thus potentially leading to falsification of
the polymer degradation rates even in additive-free polymers (Klaeger et al. 2019). A simple fur-
ther fragmentation of microplastics into nanoplastics (particles less than 100 nm in size) has also
been observed in the laboratory—for instance, through digestive fragmentation experiments in
Antarctic krill (Dawson et al. 2018, Jahnke et al. 2017)—but so far remains unproven for the marine
environment. Thus, in order to evaluate the retention times of microplastics in the ocean, further
research on their biodegradation should focus on the final steps: assimilation and mineralization.
However, because of the biodegradation decalogue (Alexander 1975), studying these steps remains
challenging for microplastics. Highly sensitive approaches, such as mineralization experiments of
14
C-labeled synthetic polymers in marine in situ conditions [comparable to the 14 C-polystyrene
polymer in vitro cultivation experiment using the fungus Penicillium variabile (Tian et al. 2017)],
are essential to recognize the lifetime of microplastics in the ocean.
To summarize, biodegradation of microplastics has not yet been detected in the marine en-
vironment. Due to the low bioavailability of plastics, their degradation is determined mainly by
physicochemical forces, and the degradation ends (based on our current knowledge) with the en-
richment of microplastics and nanoplastics in the marine system. Consequently, as has already been
assumed, microplastics likely remain unmineralized in the oceans for hundreds of years (Barnes
et al. 2009) or even longer (Andrady 2015). The question remains of whether marine microorgan-
isms may adapt evolutionarily to plastic degradation in the future.
and on the critical review of the available literature, we have concluded that, at present, (a) there
has been no increase in the accumulation of pathogens colonizing microplastics, and (b) marine
microorganisms play a negligible role in the biodegradation of microplastics. Because of the low
bioavailability of microplastics in the oceans, microorganisms will not be able to adapt to signifi-
cantly degrade plastics, at least on a human timescale, although this may depend on the concen-
tration of plastics and the generation of plastics hot spots in the future.
The extremely diverse properties and benefits of plastics cannot be ignored in our everyday
lives. However, due to improper treatment, microplastics are ubiquitous in the marine environ-
ment, and the available studies indicate that this contaminant is triggering an ecological distur-
bance. However, the extent of the potential impacts associated with marine microplastics on both
spatial and temporal scales has not yet been determined. Tagg & Labrenz (2018) have discussed
the need for proactive regulations for microplastics. To ensure environmental compatibility and
sustainability, multiple actions are needed at the same time: (a) further research on microbial path-
ways potentially linked to plastic degradation, in order to improve knowledge of how to develop
in situ biodegradable materials (as proposed in Quero & Luna 2017); (b) a significant reduction
of all packaging materials or typical products of our twenty-first century society (from plastic
foils to plastic toys); and (c) the development of an efficient recycling system that can be applied
easily and cost neutrally worldwide. Such a recycling system should involve plastic-producing,
plastic-recycling, and plastic-using industries alike, as the current recycling regime lags behind its
potential. We further predict that research on the microbial remediation of plastics will increase
in the future and lead to optimized biotechnological concepts that can be applied in vitro.
DISCLOSURE STATEMENT
The authors are not aware of any affiliations, memberships, funding, or financial holdings that
might be perceived as affecting the objectivity of this review.
ACKNOWLEDGMENTS
We greatly appreciate critical reviews of earlier versions of this article by Juliana Ivar do Sul,
Brittan S. Scales, and Alexander S. Tagg from the Leibniz Institute for Baltic Sea Research
Warnemünde. We are grateful to Friedrich Widdel from the Max Planck Institute for Marine
Microbiology for sharing his expertise on energy calculations. This work resulted from the
MikrOMIK project funded by the Leibniz Association (SAW-2014-IOW-2); the BONUS MI-
CROPOLL project supported by BONUS (Article 185), funded jointly by the European Union
and the German Federal Ministry of Education and Research (BMBF) (03F0775A); and the
BMBF project MicroCatch_Balt (03F0788A).
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