Identification of a morphogene required for tapered filament termini in filamentous cyanobacteria.

Although the photosynthetic cyanobacteria are monophyletic, they exhibit substantial morphological diversity across species, and even within an individual species due to phenotypic plasticity in response to life cycles and environmental signals. This is particularly prominent among the multicellular filamentous cyanobacteria. One example of this is the appearance of tapering at the filament termini. However, the morphogenes controlling this phenotype and the adaptive function of this morphology are not well defined. Here, using the model filamentous cyanobacterium Nostoc punctiforme ATCC29133 (PCC73102), we identify tftA, a morphogene required for the development of tapered filament termini. The tftA gene is specifically expressed in developing hormogonia, motile trichomes where the tapered filament morphology is observed, and encodes a protein containing putative amidase_3 and glucosaminidase domains, implying a function in peptidoglycan hydrolysis. Deletion of tftA abolished filament tapering inidcating that TftA plays a role in remodelling the cell wall to produce tapered filaments. Genomic conservation of tftA specifically in filamentous cyanobacteria indicates this is likely to be a conserved mechanism among these organisms. Finally, motility assays indicate that filaments with tapered termini migrate more efficiently through dense substratum, providing a plausible biological role for this morphology.

Using qualitative comparative analysis to uncover multiple pathways to program sustainment: implications for community-based youth substance misuse prevention.

BACKGROUND: In order to achieve wide-scale impact in community settings, programs must be sustained. Theory and empirical evidence suggest that intervention characteristics, organizational context, capacity for program implementation, and processes related to implementation are associated with continued program delivery. However, few studies examine how combinations of these factors work together in different settings to influence program sustainment. METHODS: Using scales specified in the Program Sustainability Assessment Tool (PSAT), the current cross-sectional study aims to identify the necessary and sufficient conditions for the sustainment of the Strengthening Families Program for Parents and Youth 10-14 (SFP 10-14). Staff (n = 59) at SFP 10-14 implementation sites across Washington State completed an online survey reporting on their current level of SFP 10-14 sustainment. They also completed PSAT, with eight scales designed to assess conditions that consistently produce sustainment. Data were analyzed using qualitative comparative analysis. RESULTS: Environmental support was the only necessary condition for sustainment success. Four solutions sufficient to achieve sustainment were also identified. These included the combined presence of (1) environmental support, organizational capacity, and funding stability; (2) environmental support, organizational capacity, communication, and program evaluation, in the absence of strategic planning; (3) environmental support, organizational capacity, program evaluation, and partnerships, in the absence of strategic planning; and (4) environmental support, communication, partnerships, and funding stability, in the absence of program evaluation. CONCLUSIONS: Environmental support in combination with organizational capacity appeared to most consistently produce sustainment of SFP 10-14 programs in Washington State. Program providers will benefit from a focusing on enhancing those conditions to increase program sustainment.

Which aspects of coalition functioning are key at different stages of coalition development? A qualitative comparative analysis.

Background: Coalitions are increasingly utilized to promote positive community health outcomes. Typically, coalitions produce more desirable outcomes when coalition functioning is strong and the coalition model is implemented with fidelity. Although theory indicates that coalitions proceed through predictable stages of development, minimal research explicitly examines functioning and fidelity at these different stages. Method: Within a larger evaluation of Washington State Community Prevention and Wellness Initiative, this cross-sectional study employs qualitative comparative analysis to illuminate the coalition functioning conditions necessary and sufficient to produce high model fidelity at different stages of development in 43 substance misuse prevention coalitions in one state. Results: In the formation stage, only the presence of high levels of coalition leadership was sufficient to produce high model fidelity. In the maintenance stage, three combinations of conditions were sufficient: (1) sustainability planning if, and only if, accompanied by the absence of coalition participation costs, (2) coordinator leadership, and (3) a combination of coalition leadership and team cohesion. In the institutionalization stage, two solutions were sufficient: (1) coalition leadership if, and only if, accompanied by the absence of sustainability planning, and (2) sustainability planning if, and only if, accompanied by the absence of coordinator leadership. Conclusions: This study illustrates several tangible steps technical assistance providers may take to increase the likelihood of achieving model fidelity. In the formation stage, skillful and inclusive coalition leadership is important. In the maintenance stage, technical assistance should focus on reducing participant-perceived costs; increasing sustainability planning; enhancing coordinator-specific leadership; and developing team cohesion and coalition leadership. For coalitions in the institutionalization stage, coalition leadership and sustainability planning may be prime targets for technical assistance.Plain Language Summary: Community coalition approaches to addressing social problems are common and have some evidence of producing positive community outcomes. Research shows that coalitions produce more desirable outcomes when coalition functioning is strong and the coalition model is implemented as it was designed. Although theory suggests that coalitions proceed through predictable stages of development, few studies look at which supports are most needed, at each stage, to improve coalition functioning and implementation. This study aims to help answer that question by determining which aspects of coalition functioning, in which combinations, are key to strong, well-functioning coalitions at different developmental stages in a sample of prevention coalitions in Washington State focused on youth substance misuse. The results suggest that having a strong coalition leadership team is key for all coalitions, regardless of development stage. For coalitions earlier in their formation, this was especially true. For coalitions further into their development, the combination of strong coordinator leadership and strong team cohesion was particularly important. Finally, for the most well-established coalitions, if sustainability planning was weak, strong coalition team leadership was key; but if coordinator leadership was weak, strong sustainability planning was critical to offset the lack of strong leadership. The results can be used to inform the types of technical assistance provided to support coalitions at different developmental stages.

Influenza and SARS-CoV-2 Co-infections in California, USA, September 2020-April 2021.

During September 1, 2020-April 30, 2021, the California Department of Public Health, Richmond, California, USA, received 255 positive influenza molecular test results that matched with severe acute respiratory syndrome coronavirus 2 molecular test results; 58 (23%) persons were co-infected. Influenza activity was minimal in California, and co-infections were sporadic.

Examining the time-varying association of negative affect and covariates with craving during treatment for prescription opioid dependence with two types of mixed models.

Opioid use disorders are chronic and relapse is common. Both negative affect and craving have been suggested antecedents of relapse and have been shown to demonstrate within- and between-person variability, as well as association with each other. The present study extends previous research by examining the covariation of negative affect and craving both within-day and at the person-level during 12 days of treatment among opioid-dependent patients. Ecological momentary assessment (EMA) data were collected from 73 participants starting between 10 and 14 days after admission to an inpatient treatment facility. These data were analyzed using multivariate multilevel models and time-varying effect models. Results demonstrated strong association between negative affect and craving. Within-day, negative affect and craving were most associated in the early afternoon. At the person-level, association between negative affect and craving declined during the first week of data collection. Following this initial decline in association, negative affect and craving increasingly covaried during days 8-12 of data collection. To our knowledge, this is the first study to report a lagged increase in the association between negative affect and craving among patients during inpatient treatment for opioid dependence. Implications for research and treatment providers are discussed.

Crossover associations of alcohol and smoking, craving and biochemically verified alcohol and nicotine use in heavy drinking smokers.

This study examined associations between drinking and smoking prior to treatment (biochemically measured at baseline), alcohol and tobacco craving, and biochemical alcohol and tobacco use during the analog trial period. We conducted a secondary data analysis of a randomized clinical analog trial where participants with a Diagnostic and Statistical Manual, Fourth Edition Text Revision (DSM-IV-TR) diagnosis of alcohol dependence, abuse or reported heavy drinking, with a co-occurring DSM-IV-TR diagnosis of nicotine dependence, abuse or reported heavy use, who were not seeking treatment were recruited. A generalized estimation equation model for longitudinal binary outcomes was created (N = 34) to determine the predictive effects of baseline tobacco use, alcohol craving, and tobacco craving on alcohol use over the 4 weeks of the trial. Baseline smoking was significantly (*p < 0.05) associated with drinking over time [odds ratio (OR) = 3.09*], while baseline drinking was associated with smoking (OR = 4.17*). Baseline alcohol and tobacco craving were positively associated with smoking over time (OR = 3.21* and OR = 1.92*, respectively) but were negatively associated with alcohol use over time (OR = 0.79* and OR = 0.57*, respectively). Heavier use of either tobacco or alcohol preceding treatment may require more intensive interventions in order to reduce tobacco and alcohol use. Future trials designed to address mechanisms of behavior change in the context of novel treatments could promote a better understanding of the cross-rewarding effects related to the co-use of these substances and lead to the development of more integrated and appropriately intense treatments for individuals with concomitant tobacco and alcohol use disorders.