Genetically Modified Sugarcane Intercropping Soybean Impact on Rhizosphere Bacterial Communities and Co-occurrence Patterns

Strategies involving genes in the dehydration-responsive element binding (DREB) family, which participates in drought stress regulation, and intercropping with legumes are becoming prominent options in promoting sustainable sugarcane cultivation. An increasing number of studies focusing on root interactions in intercropping systems, particularly involving transgenic crops, are being conducted to better understand and thus, harness beneficial soil microbes to enhance plant growth. We designed experiments to investigate the characteristics of two intercropping patterns, soybean with wild-type (WT) sugarcane and soybean with genetically modified (GM) Ea-DREB2B-overexpressing sugarcane, to assess the response of the rhizosphere microbiota to the different cropping patterns. Bacterial diversity in the rhizosphere microbial community differed between the two intercropping pattens. In addition, the biomass of GM sugarcane that intercropped with soybean was significantly improved compared with WT sugarcane, and the aboveground biomass and root biomass of GM soybean intercropping sugarcane increased by 49.15 and 46.03% compared with monoculture. Furthermore, a beneficial rhizosphere environment for the growth of Actinobacteria was established in the systems intercropped with GM sugarcane. Improving the production mode of crops by genetic modification is a key strategy to improving crop yields and provides new opportunities to further investigate the effects of intercropping on plant roots and soil microbiota. Thus, this study provides a basis for selecting suitable sugarcane–soybean intercropping patterns and a theoretical foundation for a sustainable sugarcane production.

Activities of NEW Brain Aging

The Network for Emotional Well-being and Brain Aging (NEW Brain Aging) was funded by NIA with the goal of forming a national, transdisciplinary collaborative that includes investigators with research expertise in emotional well-being (EWB), Alzheimer’s disease and related dementias (ADRD), human and animal neuroimaging, stress regulation, and computational/quantitative methods. Our objective is to stimulate mechanistic research identifying and testing mechanisms by which brain aging influences EWB and how EWB may impact risk for and progression of ADRD. This presentation will explain the structure and functions of the network that serve as a resource for investigators interested in EWB and aging research, and how to access them: a transdisciplinary community of scholars interested in brain, aging, and EWB research from both human and animal fields; webinars; workgroups to establish priorities for NEW Brain Aging activities; a resource repository; and pilot project funding opportunities to which network members can apply.

Stage 1 Registered Report: Stress regulation via being in nature and social support in adults - a meta-analysis

This meta-analysis explored whether being in nature and emotional social support are effective in reducing levels of stress through a Registered Report. We retrieved all the relevant articles that investigated a connection between one of these two strategies and various components of stress (physiological, affective and cognitive) as well as affective consequences of stress. We followed a stringent analysis workflow (including permutation-based selection models and multilevel regression-based models) to provide publication bias-corrected estimates. We found [no evidence for the efficacy of either strategy/evidence for one of the two strategies/evidence for both strategies] with an estimated mean effect size of [xx/xx] and we recommend [recommendation will be provided if necessary].

Stress regulation via self-administered mindfulness and biofeedback interventions in adults: A pre-registered meta-analysis

We conducted a pre-registered meta-analysis to appraise available evidence on two stress regulation strategies: Self-administered mindfulness meditation and heart rate variability biofeedback. We used a combination of keywords to find as many experimental and observational studies as possible, all of which highlighted a link between the two strategies and different components of stress (physiological, affective, and cognitive) and affective consequences of stress. To provide publication bias-corrected estimates, we employed multilevel regression-based methods and permutation-based selection models. We found no evidence for the efficacy of either strategy, which is mostly due to the low quality of the literature, high heterogeneity, high risk of bias, and the lack of Registered Reports. We recommend against relying on these interventions prior to obtaining a more reliable evidence base.