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An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures. Related Article: Alexander Okorn, Arumugam Jayaraman, Lukas Englert, Merle Arrowsmith, Theresa Swoboda, Jeanette Weigelt, Carina Brunecker, Merlin Hess, Anna Lamprecht, Carsten Lenczyk, Maximilian Rang, Holger Braunschweig|2022|Chemical Science|13|7566|doi:10.1039/D2SC02515A

Fully corrected $A_{fb}$ measurement for electron pairs with $|y|<1.7$. The measurement uncertainties are bin-by-bin unfolding estimates. Numbers taken from table 2 and page 26 of arXiv:1605.02719v2.

Understanding the causes and consequences of population phenotypic divergence is a central goal in ecology and evolution. Phenotypic divergence among populations can result from genetic divergence, phenotypic plasticity or a combination of the two. However, few studies have deciphered these mechanisms for populations geographically close and connected by gene flow, especially in the case of personality traits. In this study, we used a common garden experiment to explore the genetic basis of the phenotypic divergence observed between two blue tit (Cyanistes caeruleus) populations inhabiting contrasting habitats separated by 25 km, for two personality traits (exploration speed and handling aggression), one physiological trait (heart rate during restraint) and two morphological traits (tarsus length and body mass). Blue tit nestlings were removed from their population and raised in a common garden for up to five years. We then compared adult phenotypes between the two populations, as well as trait-specific Qst and Fst . Our results revealed differences between populations similar to those found in the wild, suggesting a genetic divergence for all traits. Qst - Fst comparisons revealed that the traits divergences likely result from dissimilar selection patterns rather than from genetic drift. Our study is one of the first to report a Qst - Fst comparison for personality traits and adds to the growing body of evidence that population genetic divergence is possible at a small scale for a variety of traits including behavioural traits. Data filesArchive.zip

Supplementary tables for "A comprehensive, flexible collection of SARS-CoV-2 coding regions"

Related Article: Markus Zegke, Xiaobin Zhang, Ivan Pidchenko, Johann A. Hlina, Rianne M. Lord, Jamie Purkis, Gary S. Nichol, Nicola Magnani, Georg Schreckenbach, Tonya Vitova, Jason B. Love, Polly L. Arnold|2019|Chemical Science|10|9740|doi:10.1039/C8SC05717F

In this video we observe the double-wing featured shown in figure 5 of the manuscript. The transmission of the waveguide increases for a liquid's RI of 1.602 matching the glass's. while on the other side, with a liquid of 1.604 matching the effective RI of the guided mode we observe a decrease in the transmission.

Simulation of a black-hole binary system evolved by the SpEC code.

This file contains code to model adaptive trade-offs across a species' range, and to produce Figs. 2 and 3.

Additional file 1: Data S1. Participant characteristics. S1a: Characteristics of individuals with CSF Aβ1-42 and tau measurements available; S1b: Characteristics of individuals with CSF proteomic data. Data S2. Protein annotation and statistics of group comparisons of protein levels. Data S3a. Full list of GO biological processes associated with proteins that differ according to group and clinical stage. Data S3b. SynGO enriched synaptic cellular components and biological processes that differ according to group. Data S4a. Estimated marginal means of AD GWAS-based polygenic risk scores in controls, AD individuals with increased t-tau and AD individuals with normal t-tau. Data S4b. Top 1000 SNPS from GWAS on AD individuals with increased t-tau and normal t-tau in pooled ADNI and EMIF-AD MBD cohorts. Data S4c. Difference in MAGMA gene score between AD individuals with increased t-tau and normal t-tau based on t-tau GWAS in pooled ADNI and EMIF-AD MBD cohorts. Data S4d. Difference in GO biological process MAGMA geneset score between AD individuals with increased t-tau and normal t-tau based on t-tau GWAS in pooled ADNI and EMIF-AD MBD cohorts. Data S5a. Correlation between genetic risk score and CSF protein level in individuals with abnormal Aβ1-42. Data S5b. Association of the number of GMNC rs9877502-A risk alleles and number of APOE-e4 alleles with CSF protein concentrations in a linear model in individuals with AD. Data S5c. GO-BP processes enriched for proteins that have a positive or negative association with the number of rs9877502-A risk alleles in an additive model. Data S6. Annual change in imaging measures.

Table S3. Cis acting methylation quantitative trait loci in the 40 genes highlighted in the EWAS. (XLS 31 kb)