A stereo interplanting system with foxtail millet beneath chestnut trees is an effective planting method to raise the utilization of land in chestnut orchards, increase yields and improve quality of chestnut nuts. Consequently, exploration of genes involved in shade tolerance response in foxtail millet and breeding shade-tolerant varieties have become urgent issues. In this study, RNA-seq of leaf samples from two shade-tolerant varieties and three shade-intolerant varieties of foxtail millet at the booting stage was...

Additional file 4: Figure S3. Differential microbiota of gastric cancer tissues and non-tumor tissues. A Differential taxa from phylum to genus of Distal T and Distal N. B Differential taxa from phylum to genus of Proximal T and Proximal N.

Additional file 1: Table S1. Clinicopathological characteristics of patients with gastric cancer in this study. Table S2. Different microorganisms in Proximal T and Distal T compared to their respective non tumor samples. Table S3. Significant differences in metabolites between Distal T and Distal N. Table S4. Significant differences in metabolites between Proximal T and Proximal N. Table S5. Metabolic pathway enrichment of differential metabolites between Distal T and Distal N. Table S6. Metabolic pathway enrichment...

Additional file 7: Table S2. The primer sequences used in the study.

Additional file 3: Fig. S3. The time dependent ROC curves for other three prognostic models. A Time dependent ROC curves for immune-related gene signature in the TCGA GBM cohort. B Time dependent ROC curves for pyroptosis-related gene signature in the TCGA GBM cohort. C Time dependent ROC curves for autophagy-related gene signature in the TCGA GBM cohort.

Additional file 4: Fig. S4. Validation of independence of our risk score as a prognostic factor. A The forest plot showed the univariate cox analysis using risk score, age, radiotherapy, TMZ chemotherapy, and gender as variates in the GSE16011 GBM cohort. B The forest plot showed the multivariate cox analysis using risk score, age, radiotherapy, and TMZ chemotherapy as variates in the GSE16011 GBM cohort. C Stratified OS analysis in GSE16011 GBM patients with different...

Additional file 4. miRNA sequences.

Additional file 5. Coding Sequence of Irak1 and Traf6 Genes.

Additional file 16. Representation of the number of genes differentially expressed in the medial preoptic area (MPOA, top), nucleus accumbens (NAc, middle), and lateral septum (LS, bottom) across all chromosomes and linkage groups in the prairie vole assembly. Only cases with at least one differentially expressed gene are depicted.

Additional file 17. Functional enrichment of genes differentially expressed in the nucleus accumbens (NAc). For each pairwise comparison, the functional enrichments in gene ontologies of the biological processes (A), cellular components (B), and molecular functions (C) categories as well as in pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG, D) were tested for the differentially expressed genes up- or down-regulated (UP, and DOWN, respectively). The labels of pairwise comparisons were coded in two...

Additional file 1: Table S1. The correlation coefficient and coefficient T test between BMD and bone biomechanics.

Additional file 22. Structure-specific associations of gene coexpression modules with parental behaviors. The correlation of each co-expression module from the weighted gene coexpression network analysis with behavioral traits (behaviors scored during parental behavior test and phenotype status) is depicted for each structure. The correlation value is detailed alongside its corresponding p-value in parentheses. Note that within each structure, only modules with at least one significant association are depicted. MPOA: medial preoptic area, NAc: nucleus accumbens,...

Additional file 24. Functional enrichment of gene ontologies of the biological processes category in gene co-expression modules derived from the weighted gene coexpression network analysis (WGCNA).

Additional file 1: Table S1. Primers used in thisstudy. Primer sequences for the restriction sites are shown in bold. Table S2.Relevant FPPSs sequences for phylogenetic analysis. Table S3. a. Correlationanalysis between AACT and FPPS. b. Correlation analysis between HMGR and FPPS. c.Correlation analysis between HMGS and FPPS. d. Correlation analysis between MK andFPPS. e. Correlation analysis between PMK and FPPS. f. Correlation analysisbetween MVD and FPPS. g. Correlation analysis between TPS21 and FPPS. Fig.S1 The...

Additional file 3: Table S1. The table shows the structural material coefficients we set in the finite element analysis.

Additional file 1: Table S1. Relationships between LARRPM expression and clinicopathological features in LUAD.

Additional file 1. Supplementary Figure.

Additional file 1. Supplementary Figure.

Additional file 2. Supplementary Table.

Addtional simulation

Clearcopy

Additional file 2: Table S1.. Number of different SSR types detected in three Amomum species. Table S3. Species information of Ka/Ks. Table S5. ITS2 haplotypes of A. villosum and A. longiligulare from Sanger sequencing. Table S6. ITS2 reads of A. villosum and A. longiligulare from NGS data. Table S7. The primers and conditions for PCR.

Additional file 1: eAppendix 1. Information of participating clinics. eAppendix 2. Details of APOE genotyping. eAppendix 3. MRI parameters and review. Table S1. Sex-specific characteristics of the four groups

Additional file 1. Detailed methods or results covered in this article.

supplemental document of the manuscript