An official website of the United States government
As the core component of the adherens junction in cell–cell adhesion, the cadherin–catenin complex transduces mechanical tension between neighboring cells. Structural studies have shown that the cadherin–catenin complex exists as an ensemble of flexible conformations, with the actin-binding domain (ABD) of α-catenin adopting a variety of configurations. Here, we have determined the nanoscale protein domain dynamics of the cadherin–catenin complex using neutron spin echo spectroscopy (NSE), selective deuteration, and theoretical physics analyses. NSE reveals that, in the cadherin–catenin complex, the motion of the entire ABD becomes activated on nanosecond to submicrosecond timescales. By contrast, in the α-catenin homodimer, only the smaller disordered C-terminal tail of ABD is moving. Molecular dynamics (MD) simulations also show increased mobility of ABD in the cadherin–catenin complex, compared to the α-catenin homodimer. Biased MD simulations further reveal that the applied external forces promote the transition of ABD in the cadherin–catenin complex from an ensemble of diverse conformational states to specific states that resemble the actin-bound structure. The activated motion and an ensemble of flexible configurations of the mechanosensory ABD suggest the formation of an entropic trap in the cadherin–catenin complex, serving as negative allosteric regulation that impedes the complex from binding to actin under zero force. Mechanical tension facilitates the reduction in dynamics and narrows the conformational ensemble of ABD to specific configurations that are well suited to bind F-actin. Our results provide a protein dynamics and entropic explanation for the observed force-sensitive binding behavior of a mechanosensitive protein complex.
more »
« less
A new species of Pronura (Neanuridae: Paleonurini) from the Luquillo Mountains, Puerto Rico with a key to American poorly tuberculated Paleonurini
A new species of Pronura from the Luquillo Experimental Forest on Northeastern Puerto Rico is described and illustrated. Pronura yunquensis sp. nov. differs from other Neotropical Pronura in the absence of eyes and can be separated from other species of the genus by the presence of a head tubercle (De), the displacement of Di1 in Abd IV and the fused tubercles De+DL in Abd V. A key for identification to American species of Paramanura, Pronura and Paleonura is included.
more »
« less
- Award ID(s):
- 1831952
- PAR ID:
- 10304264
- Date Published:
- Journal Name:
- Zootaxa
- Volume:
- 4996
- Issue:
- 3
- ISSN:
- 1175-5326
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Abstract Bumble bees (Bombus) exhibit exceptional diversity in setal body color patterns, largely as a result of convergence onto multiple Mullerian mimicry patterns globally. When multiple species cross the same sets of mimicry complexes, they can acquire the same color polymorphisms, providing replicates of phenotypic evolution. This study examines the genetic basis of parallel color pattern acquisition in three bumble bee taxon pairs in western North America that shift between orange-red and black mid-abdominal segmental coloration in Rocky Mountain and Pacific Coastal mimicry regions: polymorphic Bombus vancouverensis and B. melanopygus, and sister species B. huntii and B. vosnesenskii. Initial gene targets are identified using a genome-wide association study, while cross-developmental transcriptomics reveals genetic pathways leading to final pigmentation genes. The data show all three lineages independently target the regulatory region of a segmental-fate determining Hox gene, Abdominal B (Abd-B), for this color transition. For B. vancouverensis and B. melanopygus, this involves different deletions in the same location, and all mimicry pairs differentially express Abd-B and ncRNAs in this locus. Transcriptomics reveals a shared core gene network across species, where Abd-B interacts with nubbin and pigment enzyme ebony to decrease black melanin production in favor of paler, redder morphs. Expression of multiple genes in the melanin biosynthesis pathway is modified to promote this phenotype, with differing roles by taxon. Replicated morphologies unveil key genes and a Hox gene hotspot, while enabling evolutionary tracking of genetic changes to phenotypic changes and informing how gene regulatory networks evolve.more » « less
-
Given a road network and a set of trajectory data, the anomalous behavior detection (ABD) problem is to identify drivers that show significant directional deviations, hard-brakings, and accelerations in their trips. The ABD problem is important in many societal applications, including Mild Cognitive Impairment (MCI) detection and safe route recommendations for older drivers. The ABD problem is computationally challenging due to the large size of temporally-detailed trajectories dataset. In this paper, we propose an Edge-Attributed Matrix that can represent the key properties of temporally-detailed trajectory datasets and identify abnormal driving behaviors. Experiments using real-world datasets demonstrated that our approach identifies abnormal driving behaviors.more » « less
-
Data-free knowledge distillation (KD) helps transfer knowledge from a pre-trained model (known as the teacher model) to a smaller model (known as the student model) without access to the original training data used for training the teacher model. However, the security of the synthetic or out-of-distribution (OOD) data required in data-free KD is largely unknown and under-explored. In this work, we make the first effort to uncover the security risk of data-free KD w.r.t. untrusted pre-trained models. We then propose Anti-Backdoor Data-Free KD (ABD), the first plug-in defensive method for data-free KD methods to mitigate the chance of potential backdoors being transferred. We empirically evaluate the effectiveness of our proposed ABD in diminishing transferred backdoor knowledge while maintaining compatible downstream performances as the vanilla KD. We envision this work as a milestone for alarming and mitigating the potential backdoors in data-free KD. Codes are released at https://github.com/illidanlab/ABD .more » « less
-
Simulating stiff materials in applications where deformations are either not significant or else can safely be ignored is a fundamental task across fields. Rigid body modeling has thus long remained a critical tool and is, by far, the most popular simulation strategy currently employed for modeling stiff solids. At the same time, rigid body methods continue to pose a number of well known challenges and trade-offs including intersections, instabilities, inaccuracies, and/or slow performances that grow with contact-problem complexity. In this paper we revisit the stiff body problem and present ABD, a simple and highly effective affine body dynamics framework, which significantly improves state-of-the-art for simulating stiff-body dynamics. We trace the challenges in rigid-body methods to the necessity of linearizing piecewise-rigid trajectories and subsequent constraints. ABD instead relaxes the unnecessary (and unrealistic) constraint that each body's motion be exactly rigid with a stiff orthogonality potential, while preserving the rigid body model's key feature of a small coordinate representation. In doing so ABD replaces piecewise linearization with piecewise linear trajectories. This, in turn, combines the best of both worlds: compact coordinates ensure small, sparse system solves, while piecewise-linear trajectories enable efficient and accurate constraint (contact and joint) evaluations. Beginning with this simple foundation, ABD preserves all guarantees of the underlying IPC model we build it upon, e.g., solution convergence, guaranteed non-intersection, and accurate frictional contact. Over a wide range and scale of simulation problems we demonstrate that ABD brings orders of magnitude performance gains (two- to three-orders on the CPU and an order more when utilizing the GPU, obtaining 10, 000× speedups) over prior IPC-based methods, while maintaining simulation quality and nonintersection of trajectories. At the same time ABD has comparable or faster timings when compared to state-of-the-art rigid body libraries optimized for performance without guarantees, and successfully and efficiently solves challenging simulation problems where both classes of prior rigid body simulation methods fail altogether.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.11646/zootaxa.4996.3.10
