Introduction
Oomycetes are filamentous eukaryotic microorganisms among which several species are
plant and animal pathogens [1,2]. Those that cause plant diseases have had great impacts
on human activities such as (i) the 19th century Irish famine triggered by the potato
late blight (Phytophthora infestans), (ii) the associated massive North American immigration
[3], and (iii) the formulation of the Bordeaux mixture, which was the first fungicide
to be used worldwide [4]. Because of their ability to develop resistant against chemical
treatments and to bypass plant resistance genes, they still have severe economic repercussions
on modern crops. To circumvent these problems, most studies of the last ten years
have reported on the coevolutionary mechanisms between the plant host immune system
and the oomycete effector repertoire that promotes successful infection [5,6,7,8].
As for all other groups of plant pathogens, one of the current challenges is now to
understand what is happening beyond the well-understood plant–oomycete interaction.
To accomplish this, it is required to get a much broader picture of how the traits
of the host and the pathogenic oomycete interact with the biotic environment to shape
the evolution of plant resistance or oomycete pathogenicity. Concerning the host plant,
the maintenance of a stable disease-resistance gene polymorphism appears to involve
coevolution between the R gene and effector pairs but also complex and diffuse community-wide
interactions [9]. The plant-associated microbiota contributes to maximize host adaptation
to deal with pathogenic infection [10,11,12,13]. Concerning the pathogen, there is
less understanding regarding how the pathogen–microbiota interaction accommodates
the emergence of a pathogenic population, how it interferes with the expression of
the effector repertoire on the plant surface, and, in fine, how it promotes or suppresses
the disease. At the same time, an infectious entity is no longer only considered at
the species level but also at the level of a resident microbiota or part thereof [14].
This paradigmatic inflexion helps (i) to unravel the molecular basis of interactions
between plants and their pathogens in natural systems and (ii) to delineate the complex
network of interactions that determine the spatial and temporal distribution of inocula
and the genetic structure of the pathogen population as well as the communal virulence-associated
mechanisms. This report highlights studies that establish how different aspects of
the infectious process can be regulated by interactions between oomycetes or between
oomycetes and other microbial species (Fig 1).
10.1371/journal.ppat.1006028.g001
Fig 1
A schematic representation of phenomenological interfaces between a disease cycle
and an interfering microbiota.
For different steps of a disease generic cycle (central green circle), the facets
of cooperation and interaction (red subtitles) are illustrated by an inset provided
with a legend below it. The reference numbers of reported cases of oomycete–oomycete
and microbiota–oomycete interactions cited in the text are indicated.
How Do Zoospores Coordinate Their Motion?
The plant infection initially depends on the ability of biflagellate zoospores to
reach host tissues, except for cases in which oomycete species have lost the ability
to produce swimming cells. Plants emit concentration gradients of attractants, which
help a zoospore in targeting optimal sites for infection [15,16]. Within the Phytophthora
genus, zoospores may also adopt collective motion. In Petri dishes and in the absence
of chemical or electrical signals, they form plumes with cell concentrations increasing
over time, a phenomenon named pattern swimming or auto-aggregation. An analysis of
P. citricola zoospore behavior—taking into account the effects of surface tension,
initial cell concentration, and suspension depth—suggests that the pattern swimming
is an example of bioconvection, an overturning instability induced when the upper
regions of a fluid become denser than the lower regions [17]. For zoospores, bioconvection
involves (i) density instability because of the upward-swimming tendency of the zoospores
and (ii) gyrotaxis, which is the directed motion resulting from the orientation of
cells by balancing gravitational and viscous torques [18]. Another series of experiments
combined with mathematical modelling were conducted to investigate the auto-aggregation
behavior in P. infestans zoospores. This work supports the hypothesis of a combination
of bioconvection and chemotaxis operating sequentially to achieve auto-aggregation.
First, bioconvection causes the rapid formation of plumes. Then, chemotaxis between
plumes is required to form larger auto-aggregates over a longer timescale [19]. A
better understanding of the driving forces generated by bioconvection and of molecular
mechanisms governing zoospore chemotaxis should help to define the conditions required
for collective recruitment in the early phases of host infection.
What Are the Known Modes for Amplification or Inhibition of Adhesion to the Host?
After the motile period and the attraction process, a transition from motile zoospore
to nonmotile cyst occurs on the host cell surface. It is characterized by the loss
of flagella, the elaboration of a primary cell wall, and the secretion of adhesive
molecules [20]. The polyphagous species Phytophthora parasitica may use zoospore communication
to amplify and increase local adhesion by means of biofilm formation. A cluster of
founder cells adheres at the same site of infection and emits an unknown signal. Then,
the oriented migration of additional waves of zoospores leads to biofilm formation
by local and massive encystment. The structure is embedded within an extracellular
mucilage and is speckled with channels in which swimming zoospores circulate [21].
The biofilm transcriptome is characterized by the coordinated up-regulation of a set
of genes encoding mucin-like proteins, exporters and/or importers of substrates, and
RXLR effectors [22,23] suggesting that the biofilm contributes to the dynamics of
recruitment of effector functions to optimize infection effectiveness. Diverse lines
of further research need exploration with respect to addressing structural and functional
aspects of the biofilm, especially in natural habitats of oomycetes. For instance,
how do zoospores deal with biosurfactants produced in the soil by bacteria such as
Pseudomonas [24] to succeed in aggregation at the host surface? Does the biofilm increase
the survival and resistance of oomycetes to environmental variations (temperature,
hydric potential, and salinity) and/or to (bio)chemical stresses (microbial antibiosis
activities, plant defense responses, or anthropogenic treatments against crop diseases)?
Is it a structure favoring exchanges of signals and/or nutrients between sessile,
biofilm-associated cells and planktonic zoospores or other circulating microorganisms?
Is it involved in mediating competition or cooperation occurring at the surface of
host cells between oomycetes and other pathogens or opportunistic microorganisms?
The first investigations of the metainteraction between an oomycete and a resident
microbiota have explored fish microbiota and Saprolegnia-associated egg disease [25,26].
These studies show that attachment of Saprolegnia species on fish eggs is regulated
by interkingdom interactions between the oomycete and bacterial microbiota. A metataxonomic
analysis indicated a correlation between a low incidence of saprolegniosis on salmon
eggs having an immature adaptive immune system and a high richness and abundance of
specific commensal Actinobacteria. Bacteria from the genus Frondihabitans effectively
inhibit attachment of Saprolegnia to eggs [25]. Another study established that within
Gammaproteobacteria, Pseudomonadaceae represents one of the largest bacterial families
associated with salmon eggs from a hatchery. Pseudomonas isolates from the microbiota
associated with salmon eggs reduced egg mortality caused by Saprolegnia diclina [26].
Thus, the prokaryotic microbiota appears as one of the determining factors in establishing
infection.
How Do Members of a Resident Microbiota Regulate Cyst Germination and Hyphal Elongation?
Following encystment, a germination tube emerges that becomes firmly attached to the
host surface. Different case studies report that microorganisms growing in the rhizosphere
may exhibit antigerminative properties against plant pathogens. The oomycete Pythium
oligandrum, licensed as a biocontrol agent, is a parasite of Phytophthora and Pythium
species. The mechanism of inhibition consists of a nutrient and/or space competition
toward Pythium ultimum in the cotton or sugar beet rhizosphere [27]. It involves the
production of hydrolytic enzymes (e.g., cellulases) and the deposition onto the inner
cell surface of Phytophthora parasitica, the causal agent of the black shank disease
[28]. The bacteria Enterobacter cloacae suppresses Pythium ultimum seed rot by competition
with the oomycete for plant-derived unsaturated long-chain fatty acids. A genetic
approach pointed out the role of two bacterial genes in nutrient competition: fadB,
encoding a subunit of β-oxidation enzymes, and fadL, encoding an outer membrane protein
involved in the binding and transport of fatty acids into the cell. This competition
leads to inhibition of oomycete germination and disease suppression [29].
Do Microbial Partners Contribute to Penetration and Invasive Growth into the Host?
Pathogenicity of oomycetes also depends on their ability to enter into host tissues.
A coinfection by two oomycetes can potentiate infection strategies among which there
is gene expression for secreted effector proteins that manipulate structure, signaling,
and metabolism of the host. Albugo laibachii infection enables colonization of the
nonhost plant Arabidopsis thaliana by Phytophthora infestans. The set of P. infestans
effector genes induced during the tripartite interaction overlaps with the genes induced
in the host plant Solanum tuberosum. The penetration of P. infestans into A. thaliana
tissues does not induce cell death associated with the hypersensitive response, a
mechanism used by plants to prevent the spread of infection. The authors of this study
also report observation of A. laibachii and P. infestans haustoria in the same plant
cell [30]. Analysis of different multipartite interactions could help to understand
how coinfection of host cells allows some oomycetes to act as opportunistic pathogens.
After successful penetration, the ability for invasive hyphal growth by elongation
and ramification through the host tissue determines disease incidence. Different interspecific
activities of extracellular products increase both infection efficiency and disease
incidence rate. Supernatants conditioned by zoopsores of four species (Phytophthora
capsici, P. hydropathica, P. sojae, and P. nicotianae [P. parasitica]) stimulate infection
of each pathogenic species in three pathosystems (Catharanthus roseus cv. Little Bright
Eye × P. nicotianae; Lupinus polyphyllus × P. sojae; Glycine max cv. Williams × P.
sojae). The molecular basis of this cross signal remains to be determined [31]. Homoserine
lactones such as AI-2 involved in interspecies communication between bacteria species
[32] or involved in the quorum sensing in many bacterial species [33] could not be
identified in the zoospore-conditioned supernatants [31]. Supernatants conditioned
by the telluric bacterium Bacillus megaterium Sb5 stimulate both plant infection by
the Phytophthora species and up-regulation of effector gene expression in P. sojae
[34].
Is There a Contribution of Microbiota to Oomycete Propagule Dissemination in the Soil?
Rapid spreading of epidemics involves zoospore motility as the main dispersal mode
for movement in soil. Other microbial species may contribute to a secondary mode of
propagule dispersion through transitory physical association with pathogenic oomycetes.
A motile unicellular Vorticella acts as a sower of propagules through a mutualistic
interaction. The ciliate is able to colonize a P. parasitica biofilm, at which point
it becomes sedentary, presumably to initiate a bacterial nutrition phase. When it
again explores new habitats, it disseminates P. parasitica propagules of large size,
which may include a sporangium. They are disseminated at high velocity, reaching up
to 100 μm/s. They lead to the propagation of tobacco black shank disease, at least
under laboratory conditions in a Boyden chamber system [35].
Until now, most of these studies have been performed under experimental conditions
designed to mimic some of the more propitious aspects of natural habitats for the
establishment of the host–oomycete interaction. An important challenge will be to
now design sampling plans enabling the analysis of the functional capacity of microbiota
and the evolutionary trajectories within microbiomes in natural habitats of oomycetes
[36,37]. It is required to generate metagenomics and metatranscriptomics data in these
conditions, in particular to explore the effector gene repertoire [38] in order to
determine the contribution not only of the coevolution between R gene and effector
pairs but also of the pleiotropic aspects of the microbiota–oomycete coevolution [13]
to the maintenance of effector gene polymorphisms in oomycete populations [39]. On
the other hand, a greater understanding of the microbial partnerships of oomycetes
constitutes a vector for innovations in protection against diseases. The physics and
biology of collective zoospore motion should help to elaborate biomimic materials
for early monitoring of pathogenic populations in agrosystems [40, 41]. Phylogenetic,
ecological, and functional characterization of the oomycete–microbiota network, in
combination with analyses of shifts in plant microbiota composition in disease and
healthy states, will contribute to get new insights in epidemiology. They should lead
to the definition of biotic factors favorable to environmental distribution of inocula
and to disease circulation. They will also be conducive to the development of microbiota-based
strategies after setting the composition for new biocontrol products and the conditions
of application [42, 43].