Restriction fragment length polymorphism and molecular taxonomy in Vitis vinifera L.

Forty-six accessions of grapevine (V. vinifera L.) were compared by restriction fragment length polmorphism (RFLP) analysis, and 111 informative or unique restriction fragments were found that revealed an important level of polymorphism. RFLP patterns were compared in two ways: by calculating electrophoretic similarity degree values further analyzed by principal component analysis and by studying the distribution of rare restriction fragments. Six taxonomic groups could be defined, which partially confirmed relationships derived from ampelographical data. Our data support the existence of ecogeographical groups.     

The second phantom aquatic leaf beetle in Japan: Macroplea mutica rediscovery in the wetlands (Coleoptera: Chrysomelidae)

Wetland biodiversity is currently declining on a global scale. Wetland biodiversity understanding is critical for determining the wetlands' conservation value. In this study, Macroplea Samouelle, 1819 (Coleoptera: Chrysomelidae) was discovered in Aomori Prefecture, Honshu Island, Japan. Only two Macroplea species have been recorded in Japan, M. japana (Jacoby, 1885) and M. mutica (Fabricius, 1792). Macroplea japana had been unrecorded for 60 years before being rediscovered in Honshu Island in 2022, and a single adult M. mutica female was discovered in Hokkaido Prefecture in 2003. The discovered individuals were concluded to be M. mutica based on morphological and molecular analyses. Although morphological differences were observed with the Eurasian M. mutica individuals, the male genitalia was nearly identical to M. mutica. For the molecular phylogenetic analysis based on COI and 28S sequences, Macroplea individuals in Japan were clustered with M. mutica on the Eurasian Continent. This is the first record of this species on Honshu Island (and the second in Japan), as well as the first record of adult males. This species would require conservation policies and additional distributional surveys.     

RosettaDDGPrediction for high-throughput mutational scans: From stability to binding

Reliable prediction of free energy changes upon amino acid substitutions (ΔΔGs) is crucial to investigate their impact on protein stability and protein–protein interaction. Advances in experimental mutational scans allow high-throughput studies thanks to multiplex techniques. On the other hand, genomics initiatives provide a large amount of data on disease-related variants that can benefit from analyses with structure-based methods. Therefore, the computational field should keep the same pace and provide new tools for fast and accurate high-throughput ΔΔG calculations. In this context, the Rosetta modeling suite implements effective approaches to predict folding/unfolding ΔΔGs in a protein monomer upon amino acid substitutions and calculate the changes in binding free energy in protein complexes. However, their application can be challenging to users without extensive experience with Rosetta. Furthermore, Rosetta protocols for ΔΔG prediction are designed considering one variant at a time, making the setup of high-throughput screenings cumbersome. For these reasons, we devised RosettaDDGPrediction, a customizable Python wrapper designed to run free energy calculations on a set of amino acid substitutions using Rosetta protocols with little intervention from the user. Moreover, RosettaDDGPrediction assists with checking completed runs and aggregates raw data for multiple variants, as well as generates publication-ready graphics. We showed the potential of the tool in four case studies, including variants of uncertain significance in childhood cancer, proteins with known experimental unfolding ΔΔGs values, interactions between target proteins and disordered motifs, and phosphomimetics. RosettaDDGPrediction is available, free of charge and under GNU General Public License v3.0, at https://github.com/ELELAB/RosettaDDGPrediction .     

Integrating experimental data with molecular simulations to investigate RNA structural dynamics

Conformational dynamics is crucial for ribonucleic acid (RNA) function. Techniques such as nuclear magnetic resonance, cryo-electron microscopy, small- and wide-angle X-ray scattering, chemical probing, single-molecule Förster resonance energy transfer, or even thermal or mechanical denaturation experiments probe RNA dynamics at different time and space resolutions. Their combination with accurate atomistic molecular dynamics (MD) simulations paves the way for quantitative and detailed studies of RNA dynamics. First, experiments provide a quantitative validation tool for MD simulations. Second, available data can be used to refine simulated structural ensembles to match experiments. Finally, comparison with experiments allows for improving MD force fields that are transferable to new systems for which data is not available. Here we review the recent literature and provide our perspective on this field.     

Computer simulation of antibody binding specificity

A Monte Carlo algorithm that searches for the optimal docking configuration of hen egg white lysozyme to an antibody is developed. Both the lysozyme and the antibody are kept rigid. Unlike the work of other authors, our algorithm does not attempt to explicitly maximize surface contact, but minimizes the energy computed using coarse-grained pair potentials. The final refinement of our best solutions using all-atom OPLS potentials (Jorgensen and Tirado-Rives⁸) consistently yields the native conformation as the preferred solution for three different antibodies. We find that the use of an exponential distance-dependent dielectric function is an improvement over the more commonly used linear form. © 1993 Wiley-Liss, Inc.     

The progress of DNA analyzing techniques and its impact on plant molecular systematics

Recent advances in manipulating nucleic acids have opened a new research field called plant molecular systematics. This short review provides an overview of molecular techniques which have been used in the analysis of DNA molecules for the study of plant systematics, with a special emphasis on PCR. The early application of DNA analysis, DNA/DNA hybridization, has not become popular with plant systematists, because of several disadvantages inherent in the method. The survey of restriction fragment length polymorphisms (RFLPs), on the contrary, has become one of the preferred methods used by plant molecular systematists, since the method is relatively easy to perform. Although unambiguous data can be obtained by both long-range restriction mapping and nucleotide sequencing, these approaches may have limited use in plant molecular systematics because of their laborious experimental procedures relying on conventional molecular cloning techniques. To date, PCR based analyses of the DNA molecule seem to be the most suitable experimental approach for plant molecular systematics. Several advantages of the method have changed both the quality and quantity of the DNA data. Further application of PCR to plant molecular systematics will open up a new era in the field. The present paper is based on the contribution which was read in a symposium entitled “Organellar DNA Variations in Higher Plants and their Taxonomic Significance”, at the 50th Annual Meeting of the Botanical Society of Japan in Shizuoka on October 2, 1990, under the auspices of the Japan Society of Plant Taxonomists.     

我国巢鼠属分类和分子系统学分析

本研究对2018至2021年采集的9号巢鼠(Micromys minutus)标本、22号红耳巢鼠(M. erythrotis)标本和19号待厘定的巢鼠属标本,进行形态分类和分子系统学分析,进一步揭示我国巢鼠属的分类和系统分化问题。待厘定的巢鼠属标本形态特征为：标本体背毛黑棕,体腹毛基灰色,毛尖灰白,体侧毛色具明显区分,尾背部毛色黑棕,尾腹部毛色灰棕色;尾长长于头体长的120%;头骨背面观可见颧弓明显弯曲;颅全长[(18.59 ± 0.48)mm]和颅基长[(17.43 ± 0.48 mm)]较长,腭长[(9.35 ± 0.11)mm]较长,脑颅高[(7.43 ± 0.06)mm]较高。待厘定的巢鼠属标本形态特征与巢鼠和红耳巢鼠均存在差异。待厘定巢鼠属标本与巢鼠和红耳巢鼠之间的遗传距离分别为0.115和0.136,接近于巢鼠与红耳巢鼠之间的遗传距离(0.126)。利用Cyt b基因全序列和核基因IRBP1、RAG1和RAG2序列分别构建的巢鼠属系统发生树均以较高的置信度分化成3个进化支,即巢鼠、红耳巢鼠和待厘定的巢鼠属样本的进化支。形态学和分子系统学分析结果均支持待厘定的巢鼠属标本为独立物种分类单元,对应于文献记载的巢鼠川西亚种(M. m. pygmaeus)。根据产地、遗传距离和形态分化,建议将巢鼠川西亚种提升为种,命名为川西巢鼠(M. pygmaeus comb. nov.)。利用Cyt b基因全序列构建的巢鼠系统发生树分化成6个进化谱系：日韩谱系、欧洲谱系、俄罗斯新西伯利亚谱系、中国东北和俄罗斯远东谱系、中国安徽谱系和中国台湾谱系。     

Metropolis Monte Carlo calculations of DNA structure using internal coordinates and NMR distance restraints: An alternative method for generating a high-resolution solution structure

Summary A new method, a restrained Monte Carlo (rMC) calculation, is demonstrated for generating high-resolution structures of DNA oligonucleotides in solution from interproton distance restraints and bounds derived from complete relaxation matrix analysis of two-dimensional nuclear Overhauser effect (NOE) spectral peak intensities. As in the case of restrained molecular dynamics (rMD) refinement of structures, the experimental distance restraints and bounds are incorporated as a pseudo-energy term (or penalty function) into the mathematical expression for the molecular energy. However, the use of generalized helical parameters, rather than Cartesian coordinates, to define DNA conformation increases efficiency by decreasing by an order of magnitude the number of parameters needed to describe a conformation and by simplifying the potential energy profile. The Metropolis Monte Carlo method is employed to simulate an annealing process. The rMC method was applied to experimental 2D NOE data from the octamer duplex d(GTA-TAATG)·d(CATTATAC). Using starting structures from different locations in conformational space (e.g. A-DNA and B-DNA), the rMC calculations readily converged, with a root-mean-square deviation (RMSD) of <0.3 Å between structures generated using different protocols and starting structures. Theoretical 2D NOE peak intensities were calculated for the rMC-generated structures using the complete relaxation matrix program CORMA, enabling a comparison with experimental intensities via residual indices. Simulation of the vicinal proton coupling constants was carried out for the structures generated, enabling a comparison with the experimental deoxyribose ring coupling constants, which were not utilized in the structure determination in the case of the rMC simulations. Agreement with experimental 2D NOE and scalar coupling data was good in all cases. The rMC structures are quite similar to that refined by a traditional restrained MD approach (RMSD<0.5 Å) despite the different force fields used and despite the fact that MD refinement was conducted with additional restraints imposed on the endocyclic torsion angles of deoxyriboses. The computational time required for the rMC and rMD calculations is about the same. A comparison of structural parameters is made and some limitations of both methods are discussed with regard to the average nature of the experimental restraints used in the refinement.Abbreviations MC Monte Carlo - rMC restrained Monte Carlo - MD molecular dynamics - rMD restrained molecular dynamics - DG distance geometry - EM energy minimization - 2D NOE two-dimensional nuclear Overhauser effect - DQF-COSY double-quantum-filtered correlation spectroscopy - RMSD root-mean-square deviation To whom correspondence should be addressed.     

Molecular mimicry in Lyme disease: monoclonal antibody H9724 to b. burgdorferi flagellin specifically detects chaperonin-HSP60

A monoclonal antibody (H9724), specific for the 41-kDa flagellar protein of the Lyme disease pathogen Borrelia burgdorferi, cross-reacts with human axons and detects one major protein in human neuroblastoma cell extracts. The homologous cross-reacting protein has now been isolated from calf adrenal and identified as chaperonin-HSP60 by N-terminal sequencing.     

Enantioseparation and molecular modeling study of chiral amines as three naphthaldimine derivatives using amylose or cellulose trisphenylcarbamate chiral stationary phases

This study describes the enantioseparation of three chiral amines as naphthaldimine derivatives, using normal phase HPLC with amylose and cellulose tris(3,5-dimethylphenylcarbamate) chiral stationary phases (CSPs). Three chiral amines were derivatized using three structurally similar naphthaldehyde derivatizing agents, and the enantioselectivity of the CSPs toward the derivatives was examined. The degree of enantioseparation and resolution was affected by the amylose or cellulose-derived CSPs and aromatic moieties as well as a kind of chiral amine. Especially, efficient enantiomer separation was observed for 2-hydroxynapthaldimine derivatives on cellulose-derived CSPs. Molecular docking studies of three naphthaldimine derivatives of leucinol on cellulose tris(3,5-dimethylphenylcarbamate) were performed to estimate the binding energies and conformations of the CSP–analyte complexes. The obtained binding energies were in good agreement with the experimentally determined enantioseparation and elution order.