A modified Kacanov iteration scheme with application to quasilinear diffusion models

The classical Kacanov scheme for the solution of nonlinear variational problems can be interpreted as a fixed point iteration method that updates a given approximation by solving a linear problem in each step. Based on this observation, we introduce a modified Kacanov method, which allows for (adaptive) damping, and, thereby, to derive a new convergence analysis under more general assumptions and for a wider range of applications. For instance, in the specific context of quasilinear diffusion models, our new approach does no longer require a standard monotonicity condition on the nonlinear diffusion coefficient to hold. Moreover, we propose two different adaptive strategies for the practical selection of the damping parameters involved.

The Role of Fatty Acid Metabolism in Drug Tolerance of Mycobacterium tuberculosis

Understanding the mechanisms underlying M. tuberculosis adaptive strategies to achieve drug tolerance is crucial for the identification of new targets and the development of new drugs. Here, we show that acetate medium triggers a drug-tolerant state in M. tuberculosis when challenged with antituberculosis (anti-TB) drugs.

Assessment of Smallholder Farmers’ Adaptive Strategies on the Effects of Seasonal Rainfall Variability on Maize Yields in Nyeri County

Maize is the leading food crop produced in most parts of the world and a staple food crop in Kenya. Majority of the maize farmers are smallholders due to reduced land sizes as a result of land fragmentation. Maize farming is rain-fed making it more vulnerable to rainfall variability. Over the years, the farmers have increased their resilience and adaptive potential through indigenous knowledge so as to cope with the climate related risks. However, the increasing rainfall variability, frequency and more severe shocks likely surpass their current adaptive strategies. The study assessed existing adaptive strategies of the small-holder maize farmers in Kieni East sub-County in Nyeri Couny to the seasonal rainfall variability effects. The research adopted a mixed research design. Data was obtained from primary and secondary sources. Primary data was obtained using household structured questionnaires. Data was analyzed using descriptive methods and presented using charts and tables. SWOT analysis analyzed several underlying aspects affecting maize farmers in the sub-County. The study found that the farmers have several specific adaptive strategies to the effects of seasonal rainfall variability at their disposal which include but not limited to the use of varieties of maize seeds, seeking training, water harvesting, use of manure and fertilizers. Farmers also respond to rainfall variability by planting maize varieties that are early maturing and drought resistant as well as engaging in alternative farming activities and other economic activities.

ADAPTIVE STRATEGIES EMPLOYED BY THE MICE SECTOR IN RESPONSE TO COVID-19

COVID-19 has brought to the fore drastic and transformative changes to MICE tourism. The current study therefore sought to examine the adaptive responses employed by the MICE sector of South Africa to survive and maintain business continuity during the COVID-19 pandemic. Adopting a qualitative research design, 19 representatives of various subsectors of the MICE industry (including organisers, suppliers, and associations) were interviewed. The data reveals that the immediate strategies implemented by many MICE organisations involved the reevaluation of their operational costs. Moreover, the study found that the sector has readjusted its business models to include virtual events in order to ensure recovery and resilience in light of the pandemic. The study argues the importance of understanding adaptive strategies as broadening theory on tourism and crises (specifically to the MICE sector) as well as understanding the process of sector resilience post-COVID-19.

Evolution of Enterococcus faecium to A Combination of Daptomycin and Fosfomycin Reveals Distinct and Diverse Adaptive Strategies

Infections caused by vancomycin-resistant Enterococcus faecium (VREfm) are an important public health threat. VREfm have become increasingly resistant to the front-line antibiotic, daptomycin (DAP). As such, the use of DAP combination therapies (like fosfomycin [FOS]), has received increased attention. Antibiotic combinations could extend the efficacy of current available antibiotics and potentially delay the onset of further resistance. We investigated the potential for E. faecium HOU503, a clinical VREfm isolate that is DAP and FOS susceptible, to develop resistance to a DAP-FOS combination. Of particular interest was whether the genetic drivers for DAP-FOS resistance might be epistatic and, thus, potentially decrease the efficacy of a combinatorial approach in either inhibiting VREfm or in delaying the onset of resistance. We show that resistance to DAP-FOS could be achieved by independent mutations to proteins responsible for cell wall synthesis for FOS and in altering membrane dynamics for DAP. However, we did not observe genetic drivers that exhibited substantial cross-drug epistasis that could undermine DAP-FOS combination. Of interest was that FOS resistance in HOU503 was largely mediated by changes in phosphoenolpyruvate (PEP) flux as a result of mutations in pyruvate kinase (pyk). Increasing PEP flux could be a readily accessible mechanism for FOS resistance in many pathogens. Importantly, we show that HOU503 were able to develop DAP resistance through a variety of biochemical mechanisms and were able to employ different adaptive strategies. Finally, we showed that the addition of FOS can prolong the efficacy of DAP, significantly extending the timeline to resistance in vitro.

Proteome Profile of Muscle Tissue of Indian Walking Catfish, Clarias Magur Exposed to Abiotic Temperature Stress

The study of expression of proteins in organisms on exposure to various environmental challenges gives clues for understanding on how these challenges affects and copes with the biological system. A study was undertaken to understand the proteome profile of Clarias magur, exposed to abiotic stress of water temperature, to find how fishes evolve adaptive strategies towards stress induced by unforeseen vagaries of climate change. Specimens of Clarias magur were exposed to high temperature sub-lethal water stress of 37°C for 60 days and the muscle proteome profiling was analysed through Liquid Chromatography –Mass Spectroscopy for qualitative differential profiling . The study provides an understanding of different proteins expressed as adaptative challenge to the environment. This is the first study to see proteome expression in Clarias magur through Liquid Chromatography –Mass Spectroscopy

Adaptive strategies under prolonged starvation and role of slow growth in bacterial fitness

Adaptive evolution has the power to illuminate genetic mechanisms under a pre-defined set of selection factors in a controlled environment. Laboratory evolution of bacteria under long-term starvation has gained importance in recent years because of its ability to uncover adaptive strategies to overcome prolonged nutrient limitation- a condition thought to be encountered often by natural microbial isolates. In this evolutionary paradigm, bacteria are maintained in an energy-restricted environment in the growth phase called as long-term stationary phase or LTSP. This phase is characterized by a stable viable population size and highly dynamic genetic changes. Multiple independent iterations of LTSP evolution experiments have given rise to mutants that are slow-growing compared to the ancestor. Although the antagonistic regulation between rapid growth and stress response is fairly well-known in bacteria (especially Escherichia coli), the reason behind the growth deficit of many LTSP-adapted mutants has not been explored in detail. In this review, I revisit the trade-off between growth and stress response and delve into the regulatory mechanisms currently known to control growth under nutrient deficiency. Focusing on the theme of sigma-factor competition I try to search for the evolutionary reasoning of slow growth amongst mutants adapted to prolonged starvation. Additionally, I present novel experimental data indicating the dynamics of four such slow-growing variants that evolved during a 30-day long LTSP evolution experiment with Escherichia coli.