Positive biotic interactions in freshwaters: A review and research directive

1. Positive interspecific interactions such as mutualism, commensalism, and facilitation are globally ubiquitous. Although research on positive interactions in terrestrial and marine systems has progressed over the past few decades, comparatively little is known about them in freshwater ecosystems. However, recent advances have brought the study of positive interactions in freshwater systems to a point where synthesis is warranted.
2. In this review, we catalogue the variety of direct positive interactions described to date in freshwater ecosystems, discuss factors that could influence prevalence and impact of these interactions, and provide a framework for future research.
3. In positive interactions, organisms exchange key resources such as nutrients, protection, transportation, or habitat to a net benefit for at least one participant. A few mutualistic relationships have received research attention to date, namely seed-dispersing fishes, crayfishes and their ectosymbiotic cleaners, and communal-spawning stream fishes. Similarly, only a handful of commensalisms have been studied, primarily phoretic relationships. Facilitation via ecosystem engineering has received more attention, for example habitat modification by beavers and bioturbation by salmon.
4. It is well known that interaction outcomes vary with abiotic and biotic context. However, only a few of studies have examined context dependency in positive interactions in freshwater systems. Likewise, positive interactions incur costs as well as benefits; conceptualising interactions in terms of net cost/benefit to participants will help to clarify complex interactions.
5. It is likely that there are many positive interactions that have yet to be discovered in freshwater systems. To identify these interactions, we encourage inductive natural history studies combined with hypotheses deduced from general ecological models. Research on positive interactions must move beyond small-scale experiments and observational studies and adopt a cross-scale approach. Likewise, we must progress from reducing systems to oversimplified pairwise interactions, toward studying positive interactions in broader community contexts. Positive interactions have been greatly overlooked in applied freshwater ecology, but have great potential for conservation, restoration, and aquaculture.

     

Recognition of nucleic acid bases and base-pairs by hydrogen bonding to amino acid side-chains

Sequence-specific protein-nucleic acid recognition is determined, in part, by hydrogen bonding interactions between amino acid side-chains and nucleotide bases. To examine the repertoire of possible interactions, we have calculated geometrically plausible arrangements in which amino acids hydrogen bond to unpaired bases, such as those found in RNA bulges and loops, or to the 53 possible RNA base-pairs. We find 32 possible interactions that involve two or more hydrogen bonds to the six unpaired bases (including protonated A and C), 17 of which have been observed. We find 186 "spanning" interactions to base-pairs in which the amino acid hydrogen bonds to both bases, in principle allowing particular base-pairs to be selectively targeted, and nine of these have been observed. Four calculated interactions span the Watson-Crick pairs and 15 span the G:U wobble pair, including two interesting arrangements with three hydrogen bonds to the Arg guanidinum group that have not yet been observed. The inherent donor-acceptor arrangements of the bases support many possible interactions to Asn (or Gln) and Ser (or Thr or Tyr), few interactions to Asp (or Glu) even though several already have been observed, and interactions to U (or T) only if the base is in an unpaired context, as also observed in several cases. This study highlights how complementary arrangements of donors and acceptors can contribute to base-specific recognition of RNA, predicts interactions not yet observed, and provides tools to analyze proposed contacts or design novel interactions.     

Aromatic interactions in model systems

A thorough knowledge of noncovalent interactions is crucial to the understanding of biological complexity. One of the less well understood but significant weak interactions in nature is the aromatic interaction. Recent studies have provided new insight into the driving force, stability and selectivity of these interactions. The contribution of solvophobic and electrostatic interactions have been shown to be inextricably linked. Moreover, the influence of electrostatic and solvophobic components on the selectivity of aromatic interactions has been demonstrated.     

Protein-protein interactions in pathogen recognition by plants

Protein-protein interactions have emerged as key determinants of whether plant encounters with pathogens result in disease or successful plant defense. Genetic interactions between plant resistance genes and pathogen avirulence genes enable pathogen recognition by plants and activate plant defense. These gene-for-gene interactions in some cases have been shown to involve direct interactions of the products of the genes, and have indicated plant intracellular localization for certain avirulence proteins. Incomplete specificity of some of the interactions in laboratory assays suggests that additional proteins might be required to confer specificity in the plant. In many cases, resistance and avirulence protein interactions have not been demonstrable, and in some cases, other plant components that interact with avirulence proteins have been found. Investigation to date has relied heavily on biochemical and cytological methods including in vitrobinding assays and immunoprecipitation, as well as genetic tools such as the yeast two-hybrid system. Observations so far, however, point to the likely requirement for multiple, interdependent protein associations in pathogen recognition, for which these techniques can be insufficient. This article reviews the protein-protein interactions that have been described in pathogen recognition by plants, and provides examples of how rapid future progress will hinge on the adoption of new and developing technologies.     

Nature of cation-π interactions and their role in structural stability of immunoglobulin proteins

Cation-π interactions are known to be important contributors to protein stability and ligand-protein interactions. In this study, we have analyzed the influence of cation-π interactions in single chain immunoglobulin proteins. We observed 87 cation-π interactions in a data set of 33 proteins. These interactions are mainly formed by long-range contacts, and there is preference of Arg over Lys in these interactions. Arg-Tyr interactions are predominant among the various pairs analyzed. Despite the scarcity of interactions involving Trp, the average energy for Trp-cation interactions is quite high. This information suggests that the cation-π interactions involving Trp might be of high relevance to the proteins. Secondary structure analysis reveals that cation-π interactions are formed preferably between residues in which at least one is in β-strand. Proteins having β-strand regions have the highest number of cation-π interaction-forming residues.     

Role of cation-pi interactions to the stability of thermophilic proteins

Elucidating the factors responsible for exhibiting extreme thermal stability of thermophilic proteins is very important for an understanding of the mechanism of protein stability, as well as to design stable proteins. In this work, we have analyzed the influence of cation-pi interactions to enhance the stability from mesophilic to thermophilic proteins. The favorable residue pairs forming such a system of interactions have been brought out. We found that the Tyr has a greater number of such interactions with Lys in thermophilic proteins. Specifically, the same Lys would experience a greater number of cation-pi interactions with several Tyr residues in thermophiles. On the other hand, the influence of Phe in making cation-pi interactions is higher in mesophiles than in thermophiles. Further, a network of cation-pi interactions are maintained by Lys in thermophiles, whereas Arg plays a major role in mesophilic proteins. Moreover, atoms that have a substantial positive charge in both Lys and Arg make a more significant contribution for cation-pi interactions than do cationic group atoms.     

Ecological consequences of interactions between ants and honeydew-producing insects

Interactions between ants and honeydew-producing hemipteran insects are abundant and widespread in arthropod food webs, yet their ecological consequences are very poorly known. Ant-hemipteran interactions have potentially broad ecological effects, because the presence of honeydew-producing hemipterans dramatically alters the abundance and predatory behaviour of ants on plants. We review several studies that investigate the consequences of ant-hemipteran interactions as 'keystone interactions' on arthropod communities and their host plants. Ant-hemipteran interactions have mostly negative effects on the local abundance and species richness of several guilds of herbivores and predators. In contrast, out of the 30 studies that document the effects of ant-hemipteran interactions on plants, the majority (73%) shows that plants actually benefit indirectly from these interactions. In these studies, increased predation or harassment of other, more damaging, herbivores by hemipteran-tending ants resulted in decreased plant damage and/or increased plant growth and reproduction. The ecological consequences of mutualistic interactions between honeydew-producing hemipterans and invasive ants relative to native ants have rarely been studied, but they may be of particular importance owing to the greater abundance, aggressiveness and extreme omnivory of invasive ants. We argue that ant-hemipteran interactions are largely overlooked and underappreciated interspecific interactions that have strong and pervasive effects on the communities in which they are embedded.     

Computational structural analysis of protein interactions and networks

Protein interactions have been at the focus of computational biology in recent years. In particular, interest has come from two different communities--structural and systems biology. Here, we will discuss key systems and structural biology methods that have been used for analysis and prediction of protein-protein interactions and the insight these approaches have provided on the nature and organization of protein-protein interactions inside cells.     

Function prediction and protein networks

In the genomics era, the interactions between proteins are at the center of attention. Genomic-context methods used to predict these interactions have been put on a quantitative basis, revealing that they are at least on an equal footing with genomics experimental data. A survey of experimentally confirmed predictions proves the applicability of these methods, and new concepts to predict protein interactions in eukaryotes have been described. Finally, the interaction networks that can be obtained by combining the predicted pair-wise interactions have enough internal structure to detect higher levels of organization, such as 'functional modules'.     

Spinal, thalamic and cortical levels of splanchno-splanchnic interactions]

Using the occlusion method, we have shown splanchno splanchnic interactions on spinal, thalamic and cortical cells in cat. 1. At the first level, splanchno splanchnic interactions concern only the cells located in the Rexed V layer. The splanchnic fibres involved are small sized ones (Agammadelta, B and C types). 2. At the second level, splanchno splanchnic interactions have been observed in the VPL nucleus. The latencies of responses suggest that only large fibres are concerned. 3. At the third level, cortical cells of SI and SII areas have been studied. Splanchno splanchnic interactions have been elicited by different afferent splanchnic fibres (medullated and non medullated ones).     

Aspecific and specific intermolecular interactions in aqueous media

Aspecific as well as specific interactions involve the same noncovalent forces, consisting of Lifshitz-van der Waals, Lewis acid/base, electrostatic, and thermal or Brownian movement interactions. In vivo, aspecific interactions between, e.g., cells and/or biopolymers usually are repulsive, while specific interactions are always attractive. The differences between the two classes of interactions can be shown to lie in the fact that aspecifically interacting bodies are large, while specifically interacting sites are small, or have a small radius of curvature, and in the fact that aspecifically interacting surfaces are homogeneous, whereas specific sites have a heterogeneous composition.     

Computational Prediction of Protein–Protein Interaction Networks: Algo-rithms and Resources

Protein interactions play an important role in the discovery of protein functions and pathways in biological processes. This is especially true in case of the diseases caused by the loss of specific protein-protein interactions in the organism. The accuracy of experimental results in finding protein-protein interactions, however, is rather dubious and high throughput experimental results have shown both high false positive beside false negative information for protein interaction. Computational methods have attracted tremendous attention among biologists because of the ability to predict protein-protein interactions and validate the obtained experimental results. In this study, we have reviewed several computational methods for protein-protein interaction prediction as well as describing major databases, which store both predicted and detected protein-protein interactions, and the tools used for analyzing protein interaction networks and improving protein-protein interaction reliability.     

How plants cope with biotic interactions

In their natural environment, plants interact with many different organisms. The nature of these interactions may range from positive, for example interactions with pollinators, to negative, such as interactions with pathogens and herbivores. In this special issue, the contributors provide several examples of how plants manage both positive and negative biotic interactions. This review aims to relate their findings to what we know about the complex natural environments in which plants have evolved. Molecular analyses of plant genomes and expression profiles have shown how intricately plants may regulate responses to single or multiple biotic interactions. Plant responses are fine-tuned by signalling hormone interactions. When multiple organisms interact with a single plant this may result in antagonistic or synergistic effects. The emerging fields of ecogenomics and metabolomics undoubtedly will refine our understanding of the multilayered regulation that plants use to manage relationships with their biotic environment. However, we can only understand why plants have such an intricate regulatory apparatus if we consider the ecological context of plant biotic interactions.     

Pathfinding in a large vertebrate axon tract: isotypic interactions guide retinotectal axons at multiple choice points

Navigating axons respond to environmental guidance signals, but can also follow axons that have gone before - pioneer axons. Pioneers have been studied extensively in simple systems, but the role of axon-axon interactions remains largely unexplored in large vertebrate axon tracts, where cohorts of identical axons could potentially use isotypic interactions to guide each other through multiple choice points. Furthermore, the relative importance of axon-axon interactions compared with axon-autonomous receptor function has not been assessed. Here, we test the role of axon-axon interactions in retinotectal development, by devising a technique to selectively remove or replace early-born retinal ganglion cells (RGCs). We find that early RGCs are both necessary and sufficient for later axons to exit the eye. Furthermore, introducing misrouted axons by transplantation reveals that guidance from eye to tectum relies heavily on interactions between axons, including both pioneer-follower and community effects. We conclude that axon-axon interactions and ligand-receptor signaling have co-equal roles, cooperating to ensure the fidelity of axon guidance in developing vertebrate tracts.     

The function of peaceful post-conflict contacts among primates

Reconciliation has been the subject of considerable research in the last decade, and researchers have demonstrated that in many species of Old World monkeys and apes former opponents are more likely to engage in friendly interactions in the minutes that follow conflicts than they are at other times.de Waal has suggested that the function of these interactions is to mend relationships that have been damaged by conflict. Although peaceful post-conflict interactions are thought to have long-term effects upon the nature of social relationships, behavioral evidence presently indicates that the effects of these interactions may be limited to the post-conflict period. Theoretical considerations also raise some doubts about whether the relationship-repair hypothesis is cogent. Data that demonstrate that peaceful post-conflict interactions facilitate peaceful interactions and relieve victim's uncertainty and anxiety about whether conflict will be continued suggest that peaceful post-conflict interactions may be a means to reestablish contact with former opponents. Thus, they appear to function as predictive signals that the actor is going to stop fighting and behave peacefully. Such signals may be important in a broad range of social contexts.     

Structural analysis of residues involving cation-pi interactions in different folding types of membrane proteins

Cation-pi interactions play an important role to the stability of protein structures. In our earlier work, we have analyzed the influence and energetic contribution of cation-pi interactions in three-dimensional structures of membrane proteins. In this work, we investigate the characteristic features of residues that are involved in cation-pi interactions. We have computed several parameters, such as surrounding hydrophobicity, number of long-range contacts, conservation score and normalized B-factor for all these residues and identified their location, whether in the membrane or at surface. We found that the cation-pi interactions are mainly formed by long-range interactions. The cationic residues involved in cation-pi interactions have higher surrounding hydrophobicity than their average values in the whole dataset and an opposite trend is observed for aromatic residues. In transmembrane helical proteins, except Phe, all other residues that are responsible for cation-pi interactions are highly conserved with other related protein sequences whereas in transmembrane strand proteins, an appreciable conservation is observed only for Arg. The analysis on the flexibility of residues reveals that the cation-pi interaction forming residues are more stable than other residues. The results obtained in the present study would be helpful to understand the role of cation-pi interactions in the structure and folding of membrane proteins.     

Studies on protein folding, unfolding and fluctuations by computer simulation. IV. Hydrophobic interactions.

The theoretical model of proteins on the two-dimensional square lattice, introduced previously, is extended to include the hydrophobic interactions. Two proteins, whose native conformations have different folded patterns, are studied. Units in the protein chains are classified into polar units and nonpolar units. If there is a vacant lattice point next to a nonpolar unit, it is interpreted as being occupied by solvent water and the entropy of the system is assumed to decrease by a certain amount. Besides these hydrophobic free energies, the specific long-range interactions studied in previous papers are assumed to be operative in a protein chain. Equilibrium properties of the folding and unfolding transitions of the two proteins are found to be similar, even though one of them was predicted, based on the one globule model of the transitions, to unfold through a significant intermediate state (or at least to show a tendency toward such a behavior), when the hydrophobic interactions are strongly weighted. The failure of this prediction led to the development of a more refined model of transitions; a non-interacting local structure model. The hydrophobic interactions assumed here have a character of non-specific long-range interactions. Because of this character the hydrophobic interactions have the effect of decelerating the folding kinetics. The deceleration effect is less pronounced in one of the two proteins, whose native conformation is stabilized by many pairs of medium-range interactions. It is therefore inferred that the medium-range interactions have the power to cope with the decelerating effect of the non-specific hydrophobic interactions.     

Non-canonical interactions of porphyrins in porphyrin-containing proteins

In this study we have described the non-canonical interactions between the porphyrin ring and the protein part of porphyrin-containing proteins to better understand their stabilizing role. The analysis reported in this study shows that the predominant type of non-canonical interactions at porphyrins are CH···O and CH···N interactions, with a small percentage of CH···π and non-canonical interactions involving sulfur atoms. The majority of non-canonical interactions are formed from side-chains of charged and polar amino acids, whereas backbone groups are not frequently involved. The main-chain non-canonical interactions might be slightly more linear than the side-chain interactions, and they have somewhat shorter median distances. The analysis, performed in this study, shows that about 44% of the total interactions in the dataset are involved in the formation of multiple (furcated) non-canonical interactions. The high number of porphyrin–water interactions show importance of the inclusion of solvent in protein–ligand interaction studies. Furthermore, in the present study we have observed that stabilization centers are composed predominantly from nonpolar amino acid residues. Amino acids deployed in the environment of porphyrin rings are deposited in helices and coils. The results from this study might be used for structure-based porphyrin protein prediction and as scaffolds for future porphyrin-containing protein design.     

New methodologies for measuring protein interactions in vivo and in vitro

The identification and characterization of protein interactions is a key topic in current life science research; a huge variety of methodologies have been established in recent years to expedite research in this area. Generic methods have been established for monitoring protein interactions in vivo by protein fragment complementation and for screening protein interactions in vitro by highly parallel solid-phase techniques. Substantial progress has been made in identifying and characterizing interactions with and between membrane proteins. Studying protein interactions on the single-molecule level has become an important tool for understanding protein function in vivo and in vitro.