Additional file 3 of Population structure analysis to explore genetic diversity and geographical distribution characteristics of wild tea plant in Guizhou Plateau

Additional file 3: Table S1. Sampling localities of 159 wild tea accessions

Additional file 2 of Population structure analysis to explore genetic diversity and geographical distribution characteristics of wild tea plant in Guizhou Plateau

Additional file 2: Figure S1. Geographic distribution of 159 materials collected at different altitudes and rock types. Note: (A) Geographical position. (B) Distribution map of altitude, rock type and sample point in Guizhou Plateau. Figure S2. Graph for CV error in the range of K=1-9 of 159 wild tea accessions. Figure S3. ML tree of four geologically suitable areas. Note: I Dolomite sub-suitable area, II Dolomitic limestone suitable area, III Clastic rock most suitable area, IV Purple clastic rock suitable area

Additional file 4 of Population structure analysis to explore genetic diversity and geographical distribution characteristics of wild tea plant in Guizhou Plateau

Additional file 4: Table S1. Genotyping of 98,241 SNPs based on GBS in 159 wild tea accessions

Additional file 1 of Population structure analysis to explore genetic diversity and geographical distribution characteristics of wild tea plant in Guizhou Plateau

Additional file 1: Table S1. Information of 159 wild tea accessions used in this study. Table S2. The quality control data of 159 wild tea accessions. Table S3. Statistics of Heterozygosity Rate of 98,241 SNPs in 159 wild tea accessions. Table S4. SNP density. Table S5. Statistics of the number and ratio of the accessions of species, rock classes and geologically suitable area in three inferred populations. Table S6. Statistics of the number and ratio of the accessions of altitude gradient in three inferred populations. Table S7. The soil nutrient content and altitude factor of 159 wild tea accessions

Additional file 1 of Genome-wide association study, population structure, and genetic diversity of the tea plant in Guizhou Plateau

Additional file 1: table S1. Information of 415 tea accessions used in this study. Table S2. Statistics of the number and ratio of the accessions of cultivation status, species classification and indigenous communities in six inferred populations. Table S3. Statistics of the number and ratio of the accessions of near ancient hubs and near rivers in six inferred populations

Additional file 1 of Genome-wide association study of leaf-related traits in tea plant in Guizhou based on genotyping-by-sequencing

Additional file 1: Figure S1. Dynamics of population structure under different K (K = 2-9) values of 338 tea accessions. Figure S2. The Q-Q plots and Manhattan plots of other models of 4 traits except the optimal model. (A1) MLZ-2019-cMLM-Q+K; (A2) MLZ-2019-GLM-P; (A3) MLZ-2019-GLM-Q; (A4) MLZ-2019-MLM-P+K; (A5) MLZ-2019-MLM-Q+K; (B1) MLZ-2020-cMLM-Q+K; (B2) MLZ- 2020-GLM-P; (B3) MLZ-2020-GLM-Q; (B4) MLZ-2020-MLM-P+K; (B5) MLZ-2020-MLM-Q+K; (C1) MLZ-2021-cMLM-Q+K; (C2) MLZ-2021-GLM-P; (C3) MLZ-2021-GLM-Q; (C4) MLZ-2021-MLM-P+K; (C5) MLZ-2021-MLM-Q+K; (D1) MLC-cMLM-P+K; (D2) MLC-cMLM-Q+K; (D3) MLC-GLM-P; (D4) MLC-MLM-P+K; (D5) MLC-MLM-Q+K; (E1) MLS-cMLM-Q+K; (E2) MLS-GLM-P; (E3) MLS-GLM-Q; (E4) MLS-MLM-P+K; (E5) MLS-MLM-Q+K; (F1) MLT-cMLM-P+K; (F2) MLT-cMLM-Q+K; (F3) MLT-GLM-Q; (F4) MLT-MLM-P+K; (F5) MLT-MLM-Q+K. Figure S3. The labeled complete gels of PCR products of six tea accessions using the dCAPS primer. Table S1. The quality control (QC) data of each sample. Table S2. Genotyping of 100,829 SNPs based on GBS in 168 tea accessions. Table S3. Genotyping of 100,829 SNPs based on GBS in 170 tea accessions. Table S4. Distribution information of 100,829 SNPs on 15 chromosomes of tea plant.Table S5. Information of 338 tea accessions used in the present study. Table S6. Statistics of the number and ratio of the accessions of species, and both cultivation status in five inferred populations.Table S7. Analysis of TEA005350.1 gene expression of 15 tea plant accessions. Table S8. Analysis of TEA027527.1 gene expression of 20 tea plant accessions. Table S9. Four leaf phenotypic traits (mature leaf size, mature leaf color, mature leaf shape and mature leaf texture) data and their assignment of 338 tea accessions in 2019, 2020 and 2021, respectively

Additional file 2 of Population structure analysis to explore genetic diversity and geographical distribution characteristics of cultivated-type tea plant in Guizhou Plateau

Additional file 2: Table S1. The quality control data of 253 cultivated-type tea accessions. Table S2. Statistics of Heterozygosity Rate of 112,072 SNPs in 253 cultivated-type tea accessions

Additional file 7 of Population structure analysis to explore genetic diversity and geographical distribution characteristics of cultivated-type tea plant in Guizhou Plateau

Additional file 7. Genotyping of 112,072 SNPs based on GBS in 125 cultivated-type tea accessions

Additional file 4 of Population structure analysis to explore genetic diversity and geographical distribution characteristics of cultivated-type tea plant in Guizhou Plateau

Additional file 4: Figure S1. The curve graph of the Sphericity Index percentage and pruned edge of 253 cultivated-type tea accessions

Additional file 1 of Population structure analysis to explore genetic diversity and geographical distribution characteristics of cultivated-type tea plant in Guizhou Plateau

Additional file 1: Table S1. Information of 253 cultivated-type tea accessions used in the present study. Including the accession name, accession/clone/collection, the cultivation status, notes, source, basin, water system, the population structure-based grouping (Qi≥0.6) at K = 3, the cluster division base on NJ tree of development core collection, whether near ancient hubs and whether near major rivers. Table S2. Statistics of the number and ratio of the accessions of modern and ancient landraces, and both basins in four inferred populations. Table S3. Statistics of the number and ratio of the accessions of both basins, seven water systems, near ancient hubs and near major rivers in four inferred populations