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1. Folding-controlled assembly of ortho -phenylene-based macrocycles

   https://doi.org/10.1039/d1sc01270c  

   Kirinda, Viraj C.; Hartley, C. Scott (May 2021, Chemical Science)

   null (Ed.)

   The self-assembly of foldamers into macrocycles is a simple approach to non-biological higher-order structure. Previous work on the co-assembly of ortho -phenylene foldamers with rod-shaped linkers has shown that folding and self-assembly affect each other; that is, the combination leads to new emergent behavior, such as access to otherwise unfavorable folding states. To this point this relationship has been passive. Here, we demonstrate control of self-assembly by manipulating the foldamers' conformational energy surfaces. A series of o -phenylene decamers and octamers have been assembled into macrocycles using imine condensation. Product distributions were analyzed by gel-permeation chromatography and molecular geometries extracted from a combination of NMR spectroscopy and computational chemistry. The assembly of o -phenylene decamers functionalized with alkoxy groups or hydrogens gives both [2 + 2] and [3 + 3] macrocycles. The mixture results from a subtle balance of entropic and enthalpic effects in these systems: the smaller [2 + 2] macrocycles are entropically favored but require the oligomer to misfold, whereas a perfectly folded decamer fits well within the larger [3 + 3] macrocycle that is entropically disfavored. Changing the substituents to fluoro groups, however, shifts assembly quantitatively to the [3 + 3] macrocycle products, even though the structural changes are well-removed from the functional groups directly participating in bond formation. The electron-withdrawing groups favor folding in these systems by strengthening arene–arene stacking interactions, increasing the enthalpic penalty to misfolding. The architectural changes are substantial even though the chemical perturbation is small: analogous o -phenylene octamers do not fit within macrocycles when perfectly folded, and quantitatively misfold to give small macrocycles regardless of substitution. Taken together, these results represent both a high level of structural control in structurally complex foldamer systems and the demonstration of large-amplitude structural changes as a consequence of a small structural effects. 

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2. Genome Sequence of Fusarium oxysporum f. sp. matthiolae , a Brassicaceae Pathogen

   https://doi.org/10.1094/MPMI-11-19-0324-A  

   Yu, Houlin; Ayhan, Dilay Hazal; Diener, Andrew C.; Ma, Li-Jun (April 2020, Molecular Plant-Microbe Interactions®)

   null (Ed.)

   The filamentous fungus Fusarium oxysporum is a soilborne pathogen of many cultivated species and an opportunistic pathogen of humans. F. oxysporum f. sp. matthiolae is one of three formae speciales that are pathogenic to crucifers, including Arabidopsis thaliana, a premier model for plant molecular biology and genetics. Here, we report a genome assembly of F. oxysporum f. sp. matthiolae strain PHW726, generated using a combination of PacBio and Illumina sequencing technologies. The genome assembly presented here should facilitate in-depth investigation of F. oxysporum–Arabidopsis interactions and shed light on the genetics of fungal pathogenesis and plant immunity. 

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3. Building blocks of non-Euclidean ribbons: size-controlled self-assembly via discrete frustrated particles

   https://doi.org/10.1039/D2SM01371A  

   Hall, Douglas M.; Stevens, Mark J.; Grason, Gregory M. (February 2023, Soft Matter)

   Geometric frustration offers a pathway to soft matter self-assembly with controllable finite sizes. While the understanding of frustration in soft matter assembly derives almost exclusively from continuum elastic descriptions, a current challenge is to understand the connection between microscopic physical properties of misfitting “building blocks” and emergent assembly behavior at the mesoscale. We present and analyze a particle-based description of what is arguably the best studied example for frustrated soft matter assembly, negative-curvature ribbon assembly, observed in both assemblies of chiral surfactants and shape-frustrated nanoparticles. Based on our particle model, known as saddle wedge monomers, we numerically test the connection between microscopic shape and interactions of the misfitting subunits and the emergent behavior at the supra-particle scale, specifically focussing on the propagation and relaxation of inter-particle strains, the emergent role of extrinsic shape on frustrated ribbons and the equilibrium regime of finite width selection. Beyond the intuitive role of shape misfit, we show that self-limitation is critically dependent on the finite range of cohesive interactions, with larger size finite assemblies requiring increasing short-range interparticle forces. Additionally, we demonstrate that non-linearities arising from discrete particle interactions alter self-limiting behavior due to both strain-softening in shape-flattened assembly and partial yielding of highly strained bonds, which in turn may give rise to states of hierarchical, multidomain assembly. Tracing the regimes of frustration-limited assembly to the specific microscopic features of misfitting particle shapes and interactions provides necessary guidance for translating the theory of size-programmable assembly into design of intentionally-frustrated colloidal particles. 

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4. Draft Genome Sequence of Pseudomonas sp. Strain DrBHI1 (Phylum Proteobacteria )

   https://doi.org/10.1128/genomeA.01090-17  

   Wilson, Alexandria K.; Watral, Virginia G.; Kent, Michael L.; Sharpton, Thomas J.; Gaulke, Christopher A. (September 2017, Genome Announcements)

   ABSTRACT Here, we report the draft genome sequence of Pseudomonas sp. strain DrBHI1. The total assembly length is 5,649,751 bp in 146 contigs. This strain was isolated from zebrafish ( Danio rerio ) feces. 

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5. Integrated de novo gene prediction and peptide assembly of metagenomic sequencing data

   https://doi.org/10.1093/nargab/lqad023  

   Thippabhotla, Sirisha; Liu, Ben; Podgorny, Adam; Yooseph, Shibu; Yang, Youngik; Zhang, Jun; Zhong, Cuncong (March 2023, NAR Genomics and Bioinformatics)

   Abstract Metagenomics is the study of all genomic content contained in given microbial communities. Metagenomic functional analysis aims to quantify protein families and reconstruct metabolic pathways from the metagenome. It plays a central role in understanding the interaction between the microbial community and its host or environment. De novo functional analysis, which allows the discovery of novel protein families, remains challenging for high-complexity communities. There are currently three main approaches for recovering novel genes or proteins: de novo nucleotide assembly, gene calling and peptide assembly. Unfortunately, their information dependency has been overlooked, and each has been formulated as an independent problem. In this work, we develop a sophisticated workflow called integrated Metagenomic Protein Predictor (iMPP), which leverages the information dependencies for better de novo functional analysis. iMPP contains three novel modules: a hybrid assembly graph generation module, a graph-based gene calling module, and a peptide assembly-based refinement module. iMPP significantly improved the existing gene calling sensitivity on unassembled metagenomic reads, achieving a 92–97% recall rate at a high precision level (>85%). iMPP further allowed for more sensitive and accurate peptide assembly, recovering more reference proteins and delivering more hypothetical protein sequences. The high performance of iMPP can provide a more comprehensive and unbiased view of the microbial communities under investigation. iMPP is freely available from https://github.com/Sirisha-t/iMPP. 

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