Individuality in seaweeds and why we need to care

Documenting the causes and consequences of intraspecific variation forms the foundation of much of evolutionary ecology. In this Perspectives piece, we review the importance of individual variation in ecology and evolution, argue that contemporary phycology often overlooks this foundational biological unit, and highlight how this lack of attention has potentially constrained our understanding of seaweeds. We then provide some suggestions of promising but underrepresented approaches, for instance: conducting more studies and analyses at the level of the individual; designing studies to evaluate heritability and genetic regulation of traits; and measuring associations between individual variation in functional traits and ecological outcomes. We close by highlighting areas of phycological research (e.g., population biology, ecology, aquaculture, climate change management) that could benefit immediately from including a focus on individual variation. Algae, for their part, provide us with a powerful and diverse set of ecological and evolutionary traits to explore these topics. There is much to be discovered.     

Species‐specific ontogenetic diet shifts attenuate trophic cascades and lengthen food chains in exploited ecosystems

Ontogenetic diet shifts are pervasive in food websbut rules governing their emergence and the implications for trophic cascades are only partly understood. Recent theoretical advances in multispecies size spectrum models (MSSMs) predict that the emergence of ontogenetic diet shifts are driven primarily by size‐selective predation and changes in the relative abundances of suitably sized prey. Howeverthese assumptions have not yet been tested with data. Herewe developed alternative MSSMs based on different assumptions about the nature of species and size‐based preferences and tested them using an extensive dietary database for the Eastern Bering Sea (EBS). MSSMs with both size and species‐specific prey preferences correctly predicted approximately three‐fold more of the diet links than those that assumed fixed species preferences. Importantlythese model assumptions also had a profound effect on the strength of fishing‐induced trophic cascades and the emergent trophic structure of the community with and without fishing. The diet‐informed models exhibited lower predation mortality ratesparticularly for small individuals (less than 1 g) whichin turnreduced the intensity and reach of fishing‐induced trophic cascades up the size spectrum. If the level and size dependency of piscivory observed in EBS predators is typical of other systemsthe potential for fishing‐induced trophic cascades may be over‐stated in MSSMs as they are currently formulated and parameterized. Representation of species‐specific ontogenetic shifts in diet can strongly influence system responses to perturbationsand the extensions we propose should accelerate adoption of MSSMs as frameworks for exploring size‐based food web theory and developing modeling tools to support strategic management decisions.     

Potential feedback between coral presence and farmerfish collective behavior promotes coral recovery

Stable between‐group differences in collective behavior have been documented in a variety of social taxa. Here we evaluate the effects of such variation, often termed collective or colony‐level personality, on coral recovery in a tropical marine farmerfish system. Groups of the farmerfish Stegastes nigricans cultivate and defend gardens of palatable algae on coral reefs in the Indo‐Pacific. These gardens can promote the recruitment, growth, and survival of corals by providing a refuge from coral predation. Here we experimentally evaluate whether the collective response of farmerfish colonies is correlated across intruder feeding guilds – herbivores, corallivores and egg‐eating predators. Further, we evaluate if overall colony responsiveness or situation‐specific responsiveness (i.e. towards herbivores, corallivores, or egg‐eaters in particular) best predicts the growth of outplanted corals. Finally, we experimentally manipulated communities within S. nigricans gardens, adding either macroalgae or large colonies of coral, to assess if farmerfish behavior changes in response to the communities they occupy. Between‐group differences in collective responsiveness were repeatable across intruder guilds. Despite this consistency, responsiveness towards corallivores (porcupinefish and ornate butterflyfish) was a better predictor of outplanted coral growth than responsiveness towards herbivores or egg‐eaters. Adding large corals to farmerfish gardens increased farmerfish attacks towards intruders, pointing to possible positive feedback loops between their aggression towards intruders and the presence of corals whose growth they facilitate. These data provide evidence that among‐group behavioral variation could strongly influence the ecological properties of whole communities.     

Designed and naturalised sward response to management: I. Patterns of herbage production

Pastures in the Appalachian region of the United States comprise a mix of grasses, legumes and forbs that tend to differ in productivity within and among years. A high degree of spatial variability in hill‐land pasture creates microsite conditions that influence botanical composition of pasture. The variation in sward composition presents logistical challenges to livestock producers who rely on a dependable supply of herbage mass and nutritive value to meet production goals. Our objective was to determine if forage communities sown for specific functions, for example, superior dry matter productivity, resource patch exploitation or targeted seasonal production, adapted to changing growing conditions within and among years. Productivity of communities differed among years reflecting the cumulative influences of time, ontogenetic and environmental variations. Maximum productivity was influenced by the specific forage community and less so by simple clipping and fertiliser management. Naturalised swards clipped to emulate hay management tended to have sustained herbage productivity but lower nutritive value when compared to sown communities. Rankings of dry matter productivity of communities were similar for each year where bioactive composition, high productivity and warm season tended to produce the most, and stoloniferous‐rhizomatous and naturalised pasture the least. Regardless of initial sward composition, effective number of species as an index of diversity increased when frequently clipped swards were not fertilised, and when infrequently clipped swards were fertilised. Dry matter production patterns were not influenced by the effective number of species in any forage community suggesting that key species sustained productivity with volunteer species making lesser contribution to total productivity. The species composition of forage plant communities appears to be more important than clipping or fertiliser management practices as a means to sustain forage productivity.     

Hybrid physics-based and data-driven modeling for bioprocess online simulation and optimization

Model-based online optimization has not been widely applied to bioprocesses due to the challenges of modeling complex biological behaviors, low-quality industrial measurements, and lack of visualization techniques for ongoing processes. This study proposes an innovative hybrid modeling framework which takes advantages of both physics-based and data-driven modeling for bioprocess online monitoring, prediction, and optimization. The framework initially generates high-quality data by correcting raw process measurements via a physics-based noise filter (a generally available simple kinetic model with high fitting but low predictive performance); then constructs a predictive data-driven model to identify optimal control actions and predict discrete future bioprocess behaviors. Continuous future process trajectories are subsequently visualized by re-fitting the simple kinetic model (soft sensor) using the data-driven model predicted discrete future data points, enabling the accurate monitoring of ongoing processes at any operating time. This framework was tested to maximize fed-batch microalgal lutein production by combining with different online optimization schemes and compared against the conventional open-loop optimization technique. The optimal results using the proposed framework were found to be comparable to the theoretically best production, demonstrating its high predictive and flexible capabilities as well as its potential for industrial application.     

Reduction of IL-2 fragmentation during manufacturing of a novel immunocytokine by DoE process optimization

Interleukin-2 (IL-2) is a potent molecule in cancer therapy. Clinical application, however, is limited due to its strong side effects during the treatment. We developed an IL-2 variant (IL-2v) immunocytokine to circumvent the drawbacks of the current IL-2 therapy. During the production of the IL-2v immunocytokine in Chinese hamster ovary (CHO) cells, molecules with fragmented IL-2v and therefore reduced cytokine activity can be observed. To control product fragmentation different production process conditions were investigated. By shifting temperature or pH after the cell growth phase to lower values, fragmented species can be reduced from 10% to 12% to about 4%. However, with the adopted process conditions, the effective titer is decreased concomitantly. Moreover, fermentation length and inoculation cell density are parameters to adjust fragmentation and effective titer. A suitable method for efficient process optimization is the design of experiment approach. With this procedure, novel optimal values for temperature, pH value, harvest day, and inoculation cell densities were proposed and tested subsequently. In comparison to the former process, the improved process reduces fragmentation by 66% while keeping the effective titer comparable. In summary, these findings will help to control fragmentation in CHO production processes of different IL-2v or IL-2 containing therapeutic proteins.     

Mother–embryo isotope fractionation in the pygmy devilray Mobula kuhlii cf. eregoodootenkee

We determined stable-isotope ratios for replicate muscle tissues in 13 gravid Mobula kuhlii cf. eregoodootenkee (110.4–120.4 cm disc width; W_D) and their embryos (7.0–42.3 cm W_D) and also yolks and histrotroph, to assess the potential implications for juvenile nutrition and habitat use. Irrespective of their development in the uterus, embryos had similar δ¹³C values in their muscle tissue as the mothers and both had greater values than in the histotroph. During gestation, δ¹³C values increased across all sample types. However, while embryo muscle tissue and the histotroph were associated with increasing ¹⁵N levels during embryonic development, this was depleted in the mothers’ muscle tissue and yolk. Although speculative, the observed variation in stable-isotope ratios might imply a dietary shift among gravid females during their early gestation. Irrespective of the underlying mechanisms, the results indicate neonates will have relatively greater δ¹⁵N values than post-partum females, which would probably confound juvenile foraging-ecology estimates.