Consensus under Misaligned Orientations

This paper presents a consensus algorithm under misaligned orientations, which is defined as (i) misalignment to global coordinate frame of local coordinate frames, (ii) biases in control direction or sensing direction, or (iii) misaligned virtual global coordinate frames. After providing a mathematical formulation, we provide some sufficient conditions for consensus or for divergence. Besides the stability analysis, we also conduct some analysis for convergence characteristics in terms of locations of eigenvalues. Through a number of numerical simulations, we would attempt to understand the behaviors of misaligned consensus dynamics.Comment: 23 pages, 9 figure

Action, agency and responsibility

The list of 342 soybean landraces and 1062 improved lines sampled in this study. (XLSX 78 kb

Additional file 3: of Genomic consequences of selection and genome-wide association mapping in soybean

Detail Information of 125 selection features and corresponding candidate genes. (XLSX 37 kb

Expression analysis of differentially expressed genes from Lin et al., 2014 [24] closely-linked to significant SNPs (P<0.001) associated with <i>P</i>. <i>sojae</i> races.

<p>Expression analysis of differentially expressed genes from Lin et al., 2014 [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0184613#pone.0184613.ref024" target="_blank">24</a>] closely-linked to significant SNPs (P<0.001) associated with <i>P</i>. <i>sojae</i> races.</p

Additional file 12: of Genomic consequences of selection and genome-wide association mapping in soybean

The list of phenotypes used in this study and summary of tested environments. (DOCX 19 kb

Genome-wide association mapping of resistance to <i>Phytophthora sojae</i> in a soybean [<i>Glycine max</i> (L.) Merr.] germplasm panel from maturity groups IV and V - Fig 1

<p>Model-based population structure for the soybean panel: (A) Delta K values for different numbers of populations assumed (K) in the STRUCTURE analysis, (B) phylogenetic tree constructed by neighbor-joining (NJ) of genetic distance by MEGA 6, and (C) Classification of two populations using STRUCTURE 2.3.4. The distribution of the accessions to different populations is indicated by the color code (Q1: red and Q2: green), consistent in the figures (B) and (C).</p

Additional file 2: of RNA-Seq study reveals genetic responses of diverse wild soybean accessions to increased ozone levels

Typical ozone damage on wild soybean. O3 damage is shown on PI 468396 A and PI 504287 A. (DOCX 549 kb

Additional file 2: Table S3. of Genome-wide association mapping of partial resistance to Phytophthora sojae in soybean plant introductions from the Republic of Korea

Annotations for candidate genes within QTLs. (XLSX 44 kb

Additional file 1: of RNA-Seq study reveals genetic responses of diverse wild soybean accessions to increased ozone levels

The complete list of p values and Z scores of ontologies affected by O3. Included are the GO accessions, the category of the GO, a description of the GO, the number of genes in the GO, Z scores and P values for all comparisons between wild soybean accessions treated with CF and O3. (XLSX 270 kb

Additional file 1: Table S1. of Genome-wide association mapping of partial resistance to Phytophthora sojae in soybean plant introductions from the Republic of Korea

Summary of mean lesion lengths from tray tests and virulence profiles from hypocotyl inoculations utilizing 22 different isolates of P. sojae. Table S2a Hypocotyl assay with isolate C2S1 and genotypic data of markers within QTL for 94 randomly selected accessions included in the GWA analysis. Table S2b Hypocotyl assay of differentials for isolate C2S1. Figure S1 Examination of population structure of 800 Plant Introductions. Figure S2 Manhattan plot of the soybean genome depicting the extent of associations of 19,138 SNPs with inoculated root rot score, inoculated root weight, inoculated shoot weight and inoculated plant height. Figure S3 Manhattan plot of the soybean genome depicting the extent of associations of 19,138 SNPs with non-inoculated root weight, non-inoculated shoot weight and non-inoculated plant height. (PDF 962 kb