Trait Approach Research Articles

Biological traits approaches in benthic marine ecology: Dead ends and new paths.

Biological traits analysis (BTA) links community structure to both ecological functions and response to environmental drivers through species’ attributes. In consequence, it has become a popular approach in marine benthic studies. However, BTA will reach a dead end if the scientific community does not acknowledge its current shortcomings and limitations: (a) uncertainties related to data origins and a lack of standardized reporting of trait information; (b) knowledge gaps on the role of multiple interacting traits on driving the organisms’ responses to environmental variability; (c) knowledge gaps regarding the mechanistic links between traits and functions; (d) a weak focus on the spatial and temporal variability that is inherent to the trait expression of species; and, last but not least, (e) the large reliance on expert knowledge due to an enormous knowledge gap on the basic ecology of many benthic species. BTA will only reach its full potential if the scientific community is able to standardize and unify the reporting and storage of traits data and reconsider the importance of baseline observational and experimental studies to fill knowledge gaps on the mechanistic links between biological traits, functions, and environmental variability. This challenge could be assisted by embracing new technological advances in marine monitoring, such as underwater camera technology and artificial intelligence, and making use of advanced statistical approaches that consider the interactive nature and spatio‐temporal variability of biological systems. The scientific community has to abandon some dead ends and explore new paths that will improve our understanding of individual species, traits, and the functioning of benthic ecosystems.

Effectiveness of Interventions Targeting Treatable Traits for the Management of Obstructive Airway Diseases: A Systematic Review and Meta-Analysis

The management of obstructive airway diseases (OADs) is complex. The treatable traits (TTs) approach may be an effective strategy for managing OADs. To determine the effectiveness of interventions targeting TTs for managing OADs. Ovid Embase, Medline, CENTRAL, and CINAHL Plus were searched from inception to March 9, 2022. Studies of interventions targeting at least 1 TT from pulmonary, extrapulmonary, and behavioral/lifestyle domains were included. Two reviewers independently extracted relevant data and performed risk-of-bias assessments. Meta-analyses were performed using random-effects models. Subgroup and sensitivity analyses were carried out to explore heterogeneity and to determine the effects of outlying studies. Eleven studies that used the TTs approach for OAD management were identified. Traits targeted within each study ranged from 13 to 36. Seven controlled trials were included in meta-analyses. TT interventions were effective at improving health-related quality of life (mean difference [MD]=-6.96, 95% CI:-9.92 to-4.01), hospitalizations (odds ratio [OR]=0.52, 95% CI: 0.39 to 0.69), all-cause-1-year mortality (OR= 0.65, 95% CI: 0.45 to 0.95), dyspnea score (MD=-0.29, 95% CI:-0.46 to-0.12), anxiety (MD=-1.61, 95% CI:-2.92 to-0.30), and depression (MD=-2.00, 95% CI:-3.53 to-0.47). Characterizing TTs and targeted interventions can improve outcomes in OADs, which offer a promising model of care for OADs.

Alternance of alternative stable states influence the functional diversity of microcrustaceans in a shallow subtropical lake

AbstractShallow lakes in subtropical climate regions may have a clear water state with a predominance of submerged or floating macrophytes and a turbid water state with a predominance of phytoplankton. The relationship between microcrustaceans and these changes in alternative states is still incipient in the literature. And to better understand these relationships, the functional approach is an excellent tool. Thus, the present work seeks to test the hypothesis that changes in alternative stable states over time reflect the variability of composition and functional diversity of microcrustaceans. For this, samples of microcrustaceans collected in a subtropical shallow lake, which underwent alternate state changes in the period to 2000–2014, were used. Our results demonstrate a variation in composition and functional diversity among alternative states, thus supporting our hypothesis. In periods of clear water with a predominance of floating macrophytes, we found a greater functional diversity and richness of genera. This result may be associated with several factors such as greater habitat heterogeneity and lower predation pressure. The lowest values of functional diversity found in periods of turbid waters with predominance of phytoplankton and periods of clear waters with submerged macrophytes are related to the dominance of functional traits, such as scraper feeding type, herbivorous/omnivorous trophic group, littoral habitat and asexual reproduction. These traits are functional features of most Ostracoda genera, a taxonomic group abundant in these two alternative states. The predominance of this group may be related to the environmental characteristics of these periods, such as the high vegetation cover and the availability of niches unoccupied by more sensitive species, since most Ostracoda have high environmental tolerance. We conclude that the functional traits approach combined with taxonomic groups respond to temporal variations of alternative stable states and are important tools to detect environmental changes.

Managing for the unexpected: Building resilient forest landscapes to cope with global change.

Natural disturbances exacerbated by novel climate regimes are increasing worldwide, threatening the ability of forest ecosystems to mitigate global warming through carbon sequestration and to provide other key ecosystem services. One way to cope with unknown disturbance events is to promote the ecological resilience of the forest by increasing both functional trait and structural diversity and by fostering functional connectivity of the landscape to ensure a rapid and efficient self‐reorganization of the system. We investigated how expected and unexpected variations in climate and biotic disturbances affect ecological resilience and carbon storage in a forested region in southeastern Canada. Using a process‐based forest landscape model (LANDIS‐II), we simulated ecosystem responses to climate change and insect outbreaks under different forest policy scenarios—including a novel approach based on functional diversification and network analysis—and tested how the potentially most damaging insect pests interact with changes in forest composition and structure due to changing climate and management. We found that climate warming, lengthening the vegetation season, will increase forest productivity and carbon storage, but unexpected impacts of drought and insect outbreaks will drastically reduce such variables. Generalist, non‐native insects feeding on hardwood are the most damaging biotic agents for our region, and their monitoring and early detection should be a priority for forest authorities. Higher forest diversity driven by climate‐smart management and fostered by climate change that promotes warm‐adapted species, might increase disturbance severity. However, alternative forest policy scenarios led to a higher functional and structural diversity as well as functional connectivity—and thus to higher ecological resilience—than conventional management. Our results demonstrate that adopting a landscape‐scale perspective by planning interventions strategically in space and adopting a functional trait approach to diversify forests is promising for enhancing ecological resilience under unexpected global change stressors.

Genetic diversity and connectivity of the Ostreid herpesvirus 1 populations in France: A first attempt to phylogeographic inference for a marine mollusc disease.

The genetic diversity of viral populations is a key driver of the spatial and temporal diffusion of viruses; yet, studying the diversity of whole genomes from natural populations still remains a challenge. Phylodynamic approaches are commonly used for RNA viruses harboring small genomes but have only rarely been applied to DNA viruses with larger genomes. Here, we used the Pacific oyster mortality syndrome (a disease that affects oyster farms around the world) as a model to study the genetic diversity of its causative agent, the Ostreid herpesvirus 1 (OsHV-1) in the three main French oyster-farming areas. Using ultra-deep sequencing on individual moribund oysters and an innovative combination of bioinformatics tools, we de novo assembled twenty-one OsHV-1 new genomes. Combining quantification of major and minor genetic variations, phylogenetic analysis, and ancestral state reconstruction of discrete traits approaches, we assessed the connectivity of OsHV-1 viral populations between the three oyster-farming areas. Our results suggest that the Marennes-Oléron Bay represents the main source of OsHV-1 diversity, from where the virus has dispersed to other farming areas, a scenario consistent with current practices of oyster transfers in France. We demonstrate that phylodynamic approaches can be applied to aquatic DNA viruses to determine how epidemiological, immunological, and evolutionary processes act and potentially interact to shape their diversity patterns.

ANALISIS TERHADAP TRAIT AND FACTOR THEORY DAN IMPLIKASINYA DALAM LAYANAN BIMBINGAN KARIR

Everyone dreams of a brilliant career in life. But in reality, in planning and determining a career, there are many problems, especially for teenagers who will enter adulthood, namely high school students. Many students have difficulty deciding which major, study program or job to choose after graduation. To overcome this, the role of BK teachers as counselors in schools is needed to carry out career guidance. Career guidance is a counseling service needed by individuals or students to help develop their potential and find their identity as well as plan and determine their careers. Career guidance can be carried out using a trait and factor theory approach, which is a counseling method that focuses on identifying individual/student traits or characters so that students can find their identity and do not hesitate in planning and choosing their careers. From several studies that have been carried out, it is proven that career guidance with a trait and factor approach is effective in helping reduce student doubts about career termination as well as improving students' understanding and career planning.

Nuanced qualitative trait approaches reveal environmental filtering and phylogenetic constraints on lichen communities

AbstractWe propose that a qualitative trait approach based on more detailed nuanced traits may reveal previously overlooked patterns, especially when combined with phylogenetic perspectives. By sampling epiphytic lichens and using a functional approach based on nuanced qualitative traits, such as a much greater resolution over photobiont identity, type of cortex, and chemical compounds, we evaluated the effects of environmental filtering and phylogenetic constraints on community assembly along a natural succession of Atlantic rainforest. We found changes in taxonomic, functional, and phylogenetic composition, structure, and diversity. Functional traits such as photobiont genera, type of cortex, reproductive structures, propagule size, and protection strategies showed strong responses to succession. Mature forests with a closed canopy impose strong environment filtering that is reflected in lichen species turnover, limiting diversity, but also holding different functional and phylogenetic composition. The use of a nuanced qualitative trait approach may overcome some of the limitations of using this type of traits and shows the importance of often‐overlooked key lichen functional traits, including the presence of carbon‐concentrating mechanisms in photobionts and cortex properties. Furthermore, this is the first study showing how patterns of phylogenetic assembly along forest succession structure lichen communities.

Common exacerbation-prone phenotypes across asthma and chronic obstructive pulmonary disease (COPD).

Background and objectivesChronic inflammatory airway diseases, including asthma and chronic obstructive pulmonary disease (COPD), are complex syndromes with diverse clinical symptoms due to multiple pathophysiological conditions. In this study, using common and shared risk factors for the exacerbation of asthma and COPD, we sought to clarify the exacerbation-prone phenotypes beyond disease labels, and to specifically investigate the role of the IL4RA gene polymorphism, which is related to type 2 inflammation, in these exacerbation-prone phenotypes.MethodsThe study population comprised patients with asthma (n = 117), asthma-COPD overlap (ACO; n = 37) or COPD (n = 48) and a history of exacerbation within the previous year. Cluster analyses were performed using factors associated with both asthma and COPD exacerbation. The association of the IL4RA gene polymorphism rs8832 with each exacerbation-prone phenotype was evaluated by multinomial logistic analyses using non-asthma non-COPD healthy adults as controls (n = 1,529). In addition, the genetic influence of rs8832 was also examined in asthma patients with allergic rhinitis and no history of exacerbation (n = 130).ResultsTwo-step cluster analyses identified five clusters that did not necessarily correspond to the diagnostic disease labels. Cluster 1 was characterized by high eosinophil counts, cluster 2 was characterized by smokers with impaired lung function, cluster 3 was characterized by the presence of gastroesophageal reflux, cluster 4 was characterized by non-allergic females, and cluster 5 was characterized by allergic rhinitis and elevated total immunoglobulin E levels. A significant association with rs8832 was observed for cluster 5 (odds ratio, 3.88 (1.34–11.26), p = 0.013) and also for the type 2 exacerbation-prone phenotypes (clusters 1 and 5: odds ratio, 2.73 (1.45–5.15), p = 1.9 × 10−3).DiscussionOur results indicated that the clinical heterogeneity of disease exacerbation may reflect the presence of common exacerbation-prone endotypes across asthma and COPD, and may support the use of the treatable traits approach for the prevention of exacerbations in patients with chronic inflammatory airway diseases.

Social Intelligence and Successful Strategic Change Management: A study of Jubilee Syringe Manufacturing Co. Ltd, Akwa Ibom State, Nigeria

This research was designed to examine the relationship between Social Intelligence and Successful Strategic Change Management, a study of Jubilee syringe Manufacturing Co. Ltd, Akwa Ibom State. Cross sectional survey design was adopted for the study and a sample size of 118 respondents was drawn from the population size of 330. For the objective of the study to be achieved, five hypotheses were formulated. The major instrument for data collection was a structured questionnaire administered to the respondent using random sampling techniques. Data collected were analysed using simple percentage and Spearman Rank correlation. Results show that there is a significant correlation between Social Intelligence and Successful Strategic Change Management. Based on the finding of the analysis, In conclusion, this study supported other recent research findings that social intelligence is an important successful change management that is predictive of leadership. It also furthered the notion that intelligence is important in creating appropriate and original problem constructions. Because social intelligence is a trait that accounts for effective leader behaviour across multiple situations, it seems to reconcile the trait and situation approaches to leadership. Consequently, It is recommended that managers ensure positive organizational environment (working conditions, policies and procedures) necessary for stimulating successful strategic change management. Also, empirical studies should be conducted to identify factors that predict Successful Strategic Change Management among employees in Nigeria.

Critical assessment of metabolism and related growth and quality traits in trout fed spirulina-supplemented plant-based diets

Nowadays in aquaculture, the nutrition of carnivorous fish species requires the development of sustainable plant-based diets. Supplementation with microorganisms such as spirulina could offer an alternative to full plant-based diets that are inappropriate for carnivorous species such as rainbow trout. However, the benefits and drawbacks of spirulina supplementation on fish performance and metabolism need to be assessed to substantiate spirulina as an appropriate ingredient. The objective of this work was to determine the metabolic utilization of a plant-based diet supplemented with two levels of spirulina (5% and 15%) and to compare it to a full plant-based (PB) and a commercial-like (COM) diet for trout. Spirulina supplementation induced both a decrease in feed intake and an increase in feed efficiency while maintaining growth and a putative reorientation of lipid deposition from viscera to muscle. Fatty acid changes, including an increase in saturated fatty acids, a decrease in monounsaturated fatty acids, and color changes with an increase in b* index (yellow), suggested a slight alteration of the nutritional and visual quality of fish fed a spirulina diet. 1H NMR metabolomics profiling was used to measure metabolites in experimental feeds and in fish plasma, liver, and muscle. Two specific compounds of the spirulina ingredient were identified and determined to have opposed metabolic fates: i) a quinone-like compound was found to accumulate in liver and ii) β-hydroxybutyrate was found to be completely metabolized. The main metabolites modulated by spirulina in plasma and tissues were involved in energy and amino acid metabolisms. Spirulina supplementation almost suppressed the accumulation of glucose and essential amino acids in fish plasma and muscle induced by the PB diet. However, these compounds, as well as betaine, were found to accumulate in the liver of fish fed spirulina-supplemented diets. An alteration of liver metabolism due to the specific fatty acid profile and quinone-like compound of spirulina is suspected. A correlative approach of fish performance, quality traits, and metabolomic data in plasma and liver suggests that the maintenance of growth rate and feed efficiency using spirulina supplementation of a PB diet requires not only the supply of a well-balanced protein but also the redirection of lipid metabolism. However, observed changes in fatty acid composition and color suggest further alterations of the phospholipid metabolism. This work thus provides a contrasted fate of spirulina supplementation of a PB diet with both expected positive effects and unexpected negative effects that must be investigated further.

Functional responses to anthropogenic disturbance and the importance of selected traits: A study case using dung beetles

AbstractFunctional diversity has been defined as the value, range, distribution, and relative abundance of the functional traits of individuals that belong to an ecosystem. Thus, the functional response of organisms to environmental disturbances depends largely on their functional traits.Here, we evaluated dung beetle functional diversity associated to the Atlantic Forest replacement using a matrix with 25 functional traits (10 morphological, four ethological, and 11 physiological). We compared functional diversity among native and disturbed habitats with a multi and single trait approach.Contrary to previous studies, habitats with higher disturbance (open pasture) exhibited higher functional diversity compared to native forests, which could be explained by the incorporation of physiological response traits. Species of open disturbed habitats showed extreme values of such traits, explaining the observed pattern.The inclusion of several traits that represent both species ecology and morphology, and their physiology, generates different results to those observed in previous functional studies. This highlights the importance of including a large variety of functional traits in future functional diversity studies.We propose that functional traits must (1) be carefully chosen according to their biological and functional basis; (2) represent species ecology and physiology; and (3) include both effect and response traits. In addition, we consider it is extremely relevant to include a multi and single trait approach in functional diversity studies. A combination of all these considerations will provide a more realistic and complete overview of functional diversity patterns and the potential consequences of human disturbance on ecosystem functioning.

Single-Step GBLUP and GWAS Analyses Suggests Implementation of Unweighted Two Trait Approach for Heat Stress in Swine.

Simple SummaryA major problem in the swine meat industry is significant weight loss due to pigs overheating. Our approach to solving this problem is breeding swine based on their ability to survive in high temperatures. We determined in this study that genetically there is a difference between the most successful animal in hot conditions and the most successful animal in cooler conditions. This can be applied to selection of breeding animals for swine companies. Additionally, we found a few genes that may be related to this heat resistance, but more studies need to be completed to validate this finding.The purpose of this study was to perform a genome-wide association study to determine the genomic regions associated with heat stress tolerance in swine. Phenotypic information on carcass weight was available for 227,043 individuals from commercial farms in North Carolina and Missouri, U.S. Individuals were from a commercial cross of a Duroc sire and a dam resulting from a Landrace and Large White cross. Genotypic information was available for 8232 animals with 33,581 SNPs. The pedigree file contained a total of 553,448 animals. A threshold of 78 on the Temperature Humidity Index (THI) was used to signify heat stress. A two-trait analysis was used with the phenotypes heat stress (Trait One) and non-heat stress (Trait Two). Variance components were calculated via AIREML and breeding values were calculated using single step GBLUP (ssGBLUP). The heritability for Traits One and Two were calculated at 0.25 and 0.20, respectively, and the genetic correlation was calculated as 0.63. Validation was calculated for 163 genotyped sires with progeny in the last generation. The benchmark was the GEBV with complete data, and the accuracy was determined as the correlation between the GEBV of the reduced and complete data for the validation sires. Weighted ssGBLUP did not increase the accuracies. Both methods showed a maximum accuracy of 0.32 for Trait One and 0.54 for Trait Two. Manhattan Plots for Trait One, Trait Two, and the difference between the two were created from the results of the two-trait analysis. Windows explaining more than 0.8% of the genetic variance were isolated. Chromosomes 1 and 14 showed peaks in the difference between the two traits. The genetic correlation suggests a different mechanism for Hot Carcass Weight under heat stress. The GWAS results show that both traits are highly polygenic, with only a few genomic regions explaining more than 1% of variance.

Genetic variation in leaf traits and gas exchange responses to vapour pressure deficit in contrasting conifer species

Abstract Mechanistically predicting the evolutionary response of tree species to climate change requires an understanding of genetic variation in relevant traits. Here we compared the phenotypic and genetic variation in the Leaf Economics Spectrum (LES) traits and the response of gas exchange to vapour pressure deficit (VPD) in lodgepole pine (Pico) and white spruce (Pigl), an early and a late successional species dominating the boreal forests of western Canada. We measured gas exchange, foliar nitrogen and lamina mass to area ratio in 697 c. 30‐year‐old trees in two field progeny trials. We analysed the response of gas exchange rates to VPD using a novel quantitative genetic model, the function‐valued trait approach. Pico showed greater phenotypic variation in the LES traits and greater genetic variation in photosynthetic rate than Pigl, but the species showed no significant difference in their phenotypic correlations between the LES traits. Pico showed a less sensitive stomatal response to VPD than Pigl and no significant genetic variation in stomatal sensitivity. In contrast, Pigl showed a positive correlation between the genetic values of stomatal sensitivity to VPD and stomatal conductance under low VPD. Our study region is projected to see an increase in VPD with climate change; the less sensitive and genetically diverse stomatal response to VPD in Pico could make this species more vulnerable to climate‐change‐induced droughts. A free Plain Language Summary can be found within the Supporting Information of this article.

Construction of an Intelligent Evaluation Model of Mental Health Based on Big Data

In this paper, mental health data were used to evaluate the educational effects, in which the high and low scorers of three emotions, autism, positivity, and anxiety, are compared separately to explore the subtle differences in the long-term trends of the sensing traits of people with opposite characteristics. Based on the fusion of multiple kinds of sensing traits, the differences in physical and mental health assessment of positive and negative emotions by different fusion trait approaches are explored, and speech and behavioural traits are fused to build a physical and mental health assessment system for positive and negative emotions. Energy gravity uses physical distance to estimate the residual energy of nodes and considers the energy distribution of downstream nodes. The main work is to combine the data of mental health of higher education students using data mining techniques, to analyze the feasibility study of mental health education of college students. Relevant definitions, classifications, tasks, processes, and application areas of data mining techniques are introduced, and the basic principles of data mining are analyzed in detail. Taking the mental health assessment data of new students as the research object, the decision tree algorithm is used to construct a decision tree model for students with depressive symptoms, and an association rule algorithm is used to data mine the relationship between factors of psychological dimensions. Finally, it can find out the hidden laws and knowledge behind the data information and analyze the relationship that exists between psychological problems and students.

Supplemental Material for Investigating Corroboration of Self-Perceived Posttraumatic Growth Among Sri Lankan Tamil Survivors of Ethnopolitical Warfare Through Trait, Domain, and Profile Agreement Approaches

Supplemental Material for Investigating Corroboration of Self-Perceived Posttraumatic Growth Among Sri Lankan Tamil Survivors of Ethnopolitical Warfare Through Trait, Domain, and Profile Agreement Approaches

Testate amoebae: a review on their multiple uses as bioindicators

Testate amoebae (TA) are unicellular protozoans enclosed in a test capable of indicating a wide variety of environmental conditions. Among others, characteristics such as short life cycle, great sensitivity and worldwide distribution makes them adequate bioindicators. As a complement to physical and chemical measurements, biomonitoring can be a cheaper and fastest way of environmental monitoring. This research sought to evaluate the extent of TA use in biomonitoring and the responses given by them to environmental features. The research was conducted in Scielo, Science Direct, Online Library, Google Scholar and Capes Journal Portal and yielded 211 papers. TA bioindication is able to provide information on metal, trace element and atmospheric pollution, and to point out different trophic states, pH, and evidence on characteristics of hydrology. Further, TA can be used in paleoenvironmental reconstruction as they reflect climate, volcanic and even sea level change phenomena. Sometimes, together with other organisms in environmental analysis, they have shown to be an important complement to biomonitoring. Additionally, a functional traits approach has been recently included as a promising tool. Methodological adjustments that have been conducted throughout the years are allowing TA use to be more reliable and precise. This review provides insight on the many possible functions of TA in bioindication studies, highlighting their wide use as bioindicators.

GAYA KEPEMIMPINAN PRESIDEN INDONESIA

This study examines the leadership styles of seven Indonesian presidents, from President Soekarno to President Joko Widodo. The method used in this study is a literature review. The theory used in this study is the theory proposed by Northouse (2016) which explains 15 leadership styles, namely: Trait Approach, Skill Approach, Behavioral Approach, Situational Approach, Path-Goal Theory, Leader-Member Exchange Theory, Transformational Leadership, Authentic Leadership, Servant Leadership, Adaptive Leadership, Psychodynamic Approach, Leadership Ethics, Team Leadership, Gender and Leadership, and Culture and Leadership. The results of this study indicate that the leadership styles shown by the seven Indonesian presidents are different from one another. President Soekarno is identical with the Trait Approach leadership style, President Soeharto with Path-Goal Theory leadership style, President BJ Habibie with Behavioral Approach leadership style, President Abdurahman Wahid with Skill Approach leadership style, President Megawati Soekarno Putri with Gender and Leadership leadership style, and President Joko Widodo with the leadership style of Servant Leadership

A Holistic Approach of Personality Traits in Medical Students: An Integrative Review.

Personality is one of the most crucial aspects of human life, since it influences all human behaviours in both personal and social life, and might also trigger important conflicts with a person’s surroundings in the setting of incompatible traits and characteristics. It is true that ‘one must be born’ for a certain medical specialty, but several components of personality might be educated with proper training. Increased levels of Conscientiousness, Agreeableness, and Openness associated with lower levels of Neuroticism might represent the key combination for achieving professional satisfaction in the medical profession. Medical students should receive proper interprofessional education, since effective interprofessional relationships among healthcare providers definitely improve patients’ safety. Empathy contributes to effective patient–physician communication, improving patient trust, compliance, and satisfaction, being positively correlated with Openness, Agreeableness, Conscientiousness and Extraversion. Emotional intelligence—the capacity to respond to one’s own and others’ emotions—was proven to contribute, in a synergistic way with empathy, to increasing empathic ability. Clinical communication skills represent a key component in medical students in order to achieve the best patient care, and they are certainly related and/or influenced by empathy, interprofessional collaboration skills, emotional intelligence and, especially, personality traits. Taking into account the complex interactions mentioned above, the implementation of effective courses based on these concepts in medical students, intending to promote the development of clinical communication skills, represents a real emergency, since it might result in a reduction in medical errors and subsequent related deaths. A thorough understanding of students’ personality is mandatory before designing these courses in order to provide a training tailored to their personality styles.

Precision medicine inbronchiectasis.

Bronchiectasis, due to its highly heterogenous nature, requires an individualised approach to therapy. Patients experience symptoms and exacerbations driven by a combination of impaired mucociliary clearance, airway inflammation and airway infection. Treatment of bronchiectasis aims to enhance airway clearance and to address the underlying causes of inflammation and infection susceptibility. Bronchiectasis has multiple causes and so the pathophysiology leading to individual symptoms and exacerbations are different between individuals. Standardised investigations are recommended by international guidelines to identify the underlying causes of bronchiectasis. The process of identifying the underlying biology within an individual is called “endotyping” and is an emerging concept across chronic diseases. Endotypes that have a specific treatment are referred to as “treatable traits” and a treatable traits approach to managing patients with bronchiectasis in a holistic and evidence-based manner is the key to improved outcomes. Bronchiectasis is an area of intense research. Endotyping allows identification of subsets of patients to allow medicines to be tested differently in the future where trials, rather than trying to achieve a “one size fits all” solution, can test efficacy in subsets of patients where the treatment is most likely to be efficacious.

Functional responses of fisheries to hydropower dams in the Amazonian Floodplain of the Madeira River

Abstract Tropical river fisheries support food security for millions of people but are increasingly threatened by hydropower development. How dams affect these fisheries remains poorly known in most regions. Here, we used a functional traits approach to evaluate the extent to which compositions of fishery yields in the Madeira River Basin, the largest sub‐basin in the Amazon, respond to dam construction. We also explored how dams affected the monetary value of yields and fishing‐based income of the communities. We collected fishing data in 17 locations distributed over 300 km across upstream, reservoir and downstream zones during pre‐and post‐dam construction periods. We interviewed 711 fishers from 13 communities to assess fishing income during pre‐ and post‐dam periods. Catch‐per‐unit effort (CPUE) declined significantly, that is, by 37%, after dam construction. Multivariate analysis yielded six species clusters according to trait syndromes related to life history, migration, swimming performance/habitat‐use and economic value that were associated with the environmental data characteristic of pre‐ and post‐dam periods. Comparison of CPUE of each cluster indicated that large species with periodic life‐history strategy and regional or long‐distance migratory behaviour were most affected by dam construction, with CPUE declining by, on average, 31%. Declines in yields and shifts in functional composition of the fishery yields resulted in average decline of 21% in the monetary value of functional clusters and 30% in fishing income. Synthesis and applications. Our study indicates that the implementation of the dams affected the functional composition of yields and reduced catches, negatively affecting the fishing‐based income of communities in the Madeira River. These results imply that hydropower expansion will cause detrimental effects for fisheries and the livelihoods they sustain. Our results underscore the urgent need for considering alternative sources of renewable energy (e.g. solar power and in‐stream turbines) to avoid irreversible socio‐environmental damages of large dam projects. In river reaches where dams are already in operation or under construction, minimizing impacts will require improving operational protocols to reduce hydrological alterations and developing research and technology to improve the functionality of fish passages. In these locations, addressing losses in fishery value and fishing‐based income will also require the implementation of fair compensation measures. Maintaining fish production requires conserving flow pulses and free‐flowing rivers and tributaries critical for completing life cycles of fish species with vulnerable traits.