Search for: All records

Abstract The evolution of multicellularity led to the origin of new kinds of organisms and, in several lineages, massive adaptive radiations through the formation of entirely new ecosystems. This paper examines three key mechanisms underpinning parallel adaptive radiations within the five clades of ‘complex’ multicellularity: animals, land plants, fungi, red algae, and brown algae. First, the evolution of key multicellular innovations permitted diversification into new ecological roles. Second, the evolution of large multicellular organisms with strong genetic bottlenecks between generations fundamentally changed the population genetic context of evolution, greatly reducing effective population size and increasing the role of genetic drift. This may be beneficial during adaptive radiations, underpinning nonadaptive expansions of genome size and allowing broader exploration of multicellular trait space. Finally, we explore how evolutionary priority effects provide a first-mover advantage, maintaining ancient adaptive radiations over long time periods by suppressing competition from convergently evolving multicellular taxa. Investigating parallel patterns of diversification across independent origins of complex multicellularity provides insight into the principles underpinning these crucially important adaptive radiations. 

Abstract The Type VI Secretion System (T6SS) is a widespread and highly effective mechanism of microbial warfare; it confers the ability to efficiently kill susceptible cells within close proximity. Due to its large physical size, complexity, and ballistic basis for intoxication, it has widely been assumed to incur significant growth costs in the absence of improved competitive outcomes. In this study, we precisely examine the fitness costs of constitutive T6SS firing in the bacteriumVibrio cholerae. We find that, contrary to expectations, constitutive expression of the T6SS has a negligible impact on growth, reducing growth fitness by 0.025 ± 0.5% (95% CI) relative to a T6SS− control. Mathematical modeling of microbial populations demonstrates that, due to clonal interference, constitutive expression of the T6SS will often be neutral, with little impact on evolutionary outcomes. Our findings underscore the importance of precisely measuring the fitness costs of microbial social behaviors and help explain the prevalence of the T6SS across Gram‐negative bacteria. 

This paper addresses the problem of robotic exploration of unknown indoor environments with deadlines. Indoor exploration using mobile robots has typically focused on exploring the entire environment without considering deadlines. The objective of the prioritized exploration in this paper is to rapidly compute the geometric layout of an initially unknown environment by exploring key regions of the environment and returning to the home location within a deadline. This prioritized exploration is useful for time-critical and dangerous environments where rapid robot exploration can provide vital information for subsequent operations. For example, firefighters, for whom time is of the essence, can utilize the map generated by this robotic exploration to navigate a building on fire. In our previous work, we showed that a priority-based greedy algorithm can outperform a cost-based greedy algorithm for exploration under deadlines. This paper models the prioritized exploration problem as an Orienteering Problem (OP) and a Profitable Tour Problem (PTP) in an attempt to generate exploration strategies that can explore a greater percentage of the environment in a given amount of time. The paper presents simulation results on multiple graph-based and Gazebo environments. We found that in many cases the priority-based greedy algorithm performs on par or better than the OP and PTP-based algorithms. We analyze the potential reasons for this counterintuitive result.