1 Title: Invariant community structure of soil bacteria in subtropical coniferous and 2 broadleaved forests 3 Authors: Xiaoli Wang1, 2, Xiaoling Wang1, Weixin Zhang1, Yuanhu Shao1, Xiaoming 4 Zou1,3,Tao Liu1, 2, Lixia Zhou1, Songze Wan1, Xingquan Rao1, Zhian Li1, Shenglei Fu1,* 5 Affiliations: 6 1Key 7 South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, 8 China; 9 2 University Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, of Chinese Academy of Sciences, Beijing 100049, China; 10 3 11 San Juan, PR 00936-8377, USA. 12 *Corresponding author: Prof. Dr. Shenglei Fu 13 Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, 14 South China Botanical Garden, Chinese Academy of Sciences, 15 No. 723, Xingke Road, Tianhe District, Guangzhou 510650, China 16 E-mail address: sfu@scbg.ac.cn; Tel.: +86 20 37252722; Fax: +86 20 37252831. 17 Type of contribution: Original Research; 18 Date of resubmission: Nov 15, 2015 19 Number of text pages: 29; Number of words: 6209 20 Number of tables: 2 21 Number of figures: 6 22 Number of supplementary materials: 8 Department of Environmental Sciences, University of Puerto Rico, P.O. Box 70377, 1 23 Running title: Invariant bacterial composition in contrasting forests 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 2 Table S1 | the average distribution of partial sequences of bacterial 16S rRNA gene at genus level from the broadleaved (n1=6) and coniferous forests (n2=6). Proportions were calculated based on the pooled sequences classified with 80% confidence threshold. Genus accounting for <0.01% of all classified sequences were not shown in table. Significant effects are shown in bold by independent-sample t-tests (n1=6; n2=6, df=10; P<0.05). No. Broadleaved Forests Genus name 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Acetobacteraceae;Other Acidimicrobiales;Other Acidisoma Aciditerrimonas Acidobacteria;Gp1 Acidobacteria;Gp13 Acidobacteria;Gp14 Acidobacteria;Gp2 Acidobacteria;Gp3 Acidobacteria;Gp4 Acidobacteria;Gp6 Acidobacteria;Gp7 Actinoallomurus Actinobacteria;Other Actinomadura Actinomycetales;Other Actinospica Alicyclobacillus Alphaproteobacteria;Other Aminomonas relative abundance 0.53% 0.80% 0.23% 0.28% 16.67% 0.25% 0.02% 10.28% 5.87% 0.05% 0.17% 0.03% 3.27% 0.10% 0.25% 0.85% 6.57% 1.15% 0.60% 0.22% Coniferous Forests Genus name Acetobacteraceae;Other Acidimicrobiales;Other Acidisoma Aciditerrimonas Acidobacteria;Gp1 Acidobacteria;Gp13 Acidobacteria;Gp14 Acidobacteria;Gp2 Acidobacteria;Gp3 Acidobacteria;Gp4 Acidobacteria;Gp6 Acidobacteria;Gp7 Actinoallomurus Actinobacteria;Other Actinomadura Actinomycetales;Other Actinospica Alicyclobacillus Alphaproteobacteria;Other Aminomonas T-test relative abundance 0.33% 0.97% 0.28% 0.33% 15.90% 0.12% 0.01% 6.85% 7.57% 0.08% 0.12% 0.12% 2.45% 0.43% 0.17% 1.02% 5.43% 0.03% 0.40% 0.05% P 0.371 0.530 0.743 0.604 0.804 0.136 0.341 0.043 0.404 0.661 0.629 0.425 0.370 0.179 0.399 0.607 0.726 0.057 0.512 0.094 3 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 Anaeromyxobacter Arthrobacter Bacillus Bacteria;Other Betaproteobacteria;Other Blastopirellula Bradyrhizobiaceae;Other Bradyrhizobium Burkholderia Burkholderiales_incertae_sedis;Other Catenulispora Chitinophagaceae;Other Chloroflexi;Other Chromatiales;Other Chryseobacterium Clostridia;Other Conexibacter Cystobacteraceae;Other Deltaproteobacteria;Other Dyella Ferrimicrobium Ferruginibacter Firmicutes;Other Flavitalea Gammaproteobacteria;Other Gemmata Gemmatimonas Haliangium Ktedonobacter Ktedonobacterales;Other Ktedonobacteria;Other 0.08% 0.83% 0.45% 1.88% 0.20% 0.10% 0.28% 0.68% 0.88% 0.07% 0.62% 0.47% 1.42% 2.70% 0.01% 0.30% 0.48% 0.02% 0.72% 0.52% 0.17% 0.10% 6.07% 0.08% 1.03% 0.85% 0.52% 0.05% 2.87% 0.18% 0.07% Anaeromyxobacter Arthrobacter Bacillus Bacteria;Other Betaproteobacteria;Other Blastopirellula Bradyrhizobiaceae;Other Bradyrhizobium Burkholderia Burkholderiales_incertae_sedis;Other Catenulispora Chitinophagaceae;Other Chloroflexi;Other Chromatiales;Other Chryseobacterium Clostridia;Other Conexibacter Cystobacteraceae;Other Deltaproteobacteria;Other Dyella Ferrimicrobium Ferruginibacter Firmicutes;Other Flavitalea Gammaproteobacteria;Other Gemmata Gemmatimonas Haliangium Ktedonobacter Ktedonobacterales;Other Ktedonobacteria;Other 0.08% 0.47% 0.05% 2.67% 0.27% 0.03% 0.18% 1.02% 1.80% 0.20% 1.58% 0.60% 0.97% 2.82% 0.27% 0.53% 1.02% 0.23% 0.32% 0.15% 0.22% 0.02% 4.30% 0.10% 1.00% 0.72% 0.57% 0.10% 2.60% 0.43% 0.25% 1.000 0.687 0.068 0.241 0.755 0.341 0.416 0.129 0.324 0.358 0.342 0.508 0.220 0.896 0.341 0.467 0.093 0.259 0.314 0.395 0.411 0.341 0.479 0.868 0.950 0.810 0.799 0.568 0.785 0.016 0.003 4 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 Leifsonia Massilia Methylocystaceae;Other Mucilaginibacter Mycobacterium Myxococcales;Other Nocardia Others Pedomicrobium Perlucidibaca Phenylobacterium Planctomyces Planctomycetaceae;Other Planctomycetes;Other Proteobacteria;Other Ramlibacter Rhizobiales;Other;Other Rhizomicrobium Rhodanobacter Rhodospirillaceae;Other Rhodospirillales;Other Rugosimonospora Selenomonadales;Other Singulisphaera Sinomonas Skermanella Solirubrobacterales;Other Stenotrophomonas Steroidobacter Streptacidiphilus Streptomyces 0.02% 0.43% 0.38% 0.17% 2.10% 0.35% 0.68% 1.28% 0.13% 0.08% 4.68% 0.15% 0.72% 0.20% 0.20% 0.02% 2.70% 0.68% 0.27% 1.50% 0.25% 0.02% 0.02% 0.18% 0.01% 0.07% 0.08% 0.01% 0.37% 5.92% 0.01% Leifsonia Massilia Methylocystaceae;Other Mucilaginibacter Mycobacterium Myxococcales;Other Nocardia Others Pedomicrobium Perlucidibaca Phenylobacterium Planctomyces Planctomycetaceae;Other Planctomycetes;Other Proteobacteria;Other Ramlibacter Rhizobiales;Other;Other Rhizomicrobium Rhodanobacter Rhodospirillaceae;Other Rhodospirillales;Other Rugosimonospora Selenomonadales;Other Singulisphaera Sinomonas Skermanella Solirubrobacterales;Other Stenotrophomonas Steroidobacter Streptacidiphilus Streptomyces 0.10% 1.62% 0.23% 0.33% 1.50% 0.43% 0.70% 2.22% 0.05% 0.02% 3.13% 0.08% 0.98% 0.38% 0.30% 0.18% 2.20% 0.48% 0.01% 1.25% 0.13% 0.63% 0.15% 0.30% 0.35% 0.08% 0.27% 0.92% 0.28% 7.40% 0.03% 0.341 0.479 0.083 0.365 0.477 0.381 0.967 0.429 0.399 0.217 0.477 0.493 0.582 0.197 0.418 0.336 0.558 0.231 0.268 0.504 0.262 0.295 0.046 0.246 0.286 0.721 0.049 0.341 0.678 0.619 0.145 5 83 84 85 86 87 88 89 90 Synergistaceae;Other Syntrophaceticus Thermoanaerobacteraceae;Other Thermogemmatispora Thermoleophilum Thermomonosporaceae;Other Tumebacillus Zavarzinella 0.12% 0.37% 0.42% 0.03% 0.02% 0.77% 1.13% 0.27% Synergistaceae;Other Syntrophaceticus Thermoanaerobacteraceae;Other Thermogemmatispora Thermoleophilum Thermomonosporaceae;Other Tumebacillus Zavarzinella 0.07% 0.62% 0.37% 0.17% 0.13% 2.28% 0.57% 0.18% 0.535 0.329 0.885 0.049 0.272 0.179 0.535 0.658 6 Table S2 | Model summary and ANOVA of the regression for bacterial biomass at the site scale (n=60) and the regional scale (n = 180). pHwater, STN, LTN, SOC, LOC, and SMC stand for soil pH, soil total nitrogen, litter total nitrogen, soil organic carbon, litter organic carbon and soil moisture content, respectively. Sites ALS Dependent variables Bacteria GramGram+ DMS Gram+/GramBacteria GramGram+ Gram+/GramDHS Regional Scale Bacteria GramGram+ Gram+/GramBacteria GramGram+ Gram+/Gram- Model predictors R2 F P 1 2 3 1 1 2 1 1 2 3 1 2 1 2 1 2 1 SOC SOC:STN LOC SMC SMC SOC SMC LTN LOC: LTN SOC STN LOC STN LOC SOC:STN LOC pHwater 0.477 0.534 0.619 0.787 0.836 0.863 0.702 0.801 0.864 0.878 0.495 0.553 0.521 0.554 0.245 0.332 0.258 52.824 32.662 30.319 214.684 296.372 178.878 136.900 233.911 180.916 134.586 56.800 35.272 63.035 35.405 18.809 14.177 20.208 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1 1 n.s. 1 2 3 4 5 1 2 1 2 1 2 STN STN n.s. SOC LOC LTN pH SOC:STN STN SOC SMC LTN SMC pH 0.205 0.134 n.s. 0.215 0.271 0.316 0.369 0.407 0.524 0.540 0.775 0.796 0.450 0.605 14.997 8.939 n.s. 48.692 32.875 27.114 25.553 23.865 195.999 104.056 613.494 344.646 145.527 135.526 0.000 0.004 n.s. 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 7 Table S3 | The general characteristics of the three pairs of forest ecosystems in the south subtropical region of China. Sites Temperature (°C) Precipitation (mm) Longitude & Latitude Altitude (m) ALS-BF 11.3 1931 24°32'N,102°01'E 2400–2600 ALS-CF 18.7 1103 24°16'N,100°48'E 1500-2000 DMS-BF 14.7 2746 23°24'N,108°31'E 355-365 DMS-CF 15.1 2630 23°24'N,108°31'E 175-365 DHS-BF 20.9 1927 23°10'N,112°31'E 250-300 DHS-CF 21.4 1927 23°10'N,112°31'E 90-115 Soil Types Typically yellow-brown Mountain yellow red Yellow podzolic Mountain yellow Hydration lateritic Hydration lateritic Dominant Tree species Lithocarpus xylocarpu Pinus kesiya var. langbianesnis Quercus griffithii Hook. f. et Thoms ex Miq Pinus massoniana Cryptocarya concinna Hance Pinus massoniana Dominant understory species Sinarundinaria nitida Eupatorium adenophora Indocalamus tessellatus Dicranopteris dichotoma Psychotria rubra Evodia lepta(Spreng.)Merr. 8 Figure S1| Rarefaction curves of high-throughput sequencing data of the samples from the broadleaved forests and the coniferous forests. 1200 Coniferous Forests Broadleaved Forests Rarefaction measure: observed species 1000 800 600 400 200 0 0 1000 2000 3000 4000 Numbers of sequences per sample 5000 6000 9 Figure S2| Principal coordinates analysis (PCoA) of bacterial community based on high-throughput sequencing data in the subtropical coniferous and broadleaved forests. The values for Axes 1 and 2 are percentages of variation attributed to the corresponding axis. Solid circles represent samples of the broadleaved forests, and solid triangle represent samples of the coniferous forests. The blue color represents ALS site, the orange color represents DMS site, and the red color represents DHS site. PCoA_PC1 vs PC2 PC2-Percent variations explained 15.47% 0.4 0.3 0.2 0.1 0.0 -0.1 -0.2 -0.3 -0.4 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 PC1-Percent variations explained 44.52% 0.4 10 Figure S3| Redundancy analysis (RDA) of PLFA profiles for soil samples using 8 microbial group PLFAs and 9 environmental parameters at the site scale. Blue line vectors represent microbial variables: bacterial PLFA biomarkers. Red line vectors represent environmental variables: Soil moisture content (SMC), soil organic carbon (SOC), soil total nitrogen (STN), the ratio of soil organic carbon to soil total nitrogen (SOC: STN), pH water (pH), litter organic carbon (LOC), litter total nitrogen (LTN), litter storage (LS) and the ratio of litter organic carbon to litter total nitrogen (LOC: LTN). (A) The bacterial communities and the environment factors at the ALS site, n = 60; (B) The bacterial communities and the environment factors at the DMS site, n = 60; (C) The bacterial communities and the environment factors at the DHS site, n = 60. 11 12 Figure S4| Location of nine paired coniferous and broadleaved forests from three study sites in subtropical China. The original map was from Data Sharing Infrastructure of National Administration of Surveying, Mapping and Geoinformation of China. This figure was generated by using Adobe Illustrator CS6 software from Adobe Company (San Jose, California, USA). 13 Figure S5| the diagrammatic sketch of experimental design and sampling. The total number of samples for each of the nine forest pairs was 180: namely, 3 sites * 2 forest types * 3 replicated plots * 5 subplots * 2 seasons. The 180 samples were used to determinate the bacterial biomass by using PLFAs. We extracted 180 DNA samples and then mixed these 180 DNA samples into 12 composite samples, namely, 2 seasons * 3 sites * 2 forest types. The 12 composite samples were used to determinate the bacterial composition by using 16S pyro-sequencing. The 12 composite samples were named Dry-ALS-CF, Dry-ALS-BF, Dry-DMS-CF, Dry-DMS-BF, Dry-DHS-CF, Dry-DHS-BF, Wet-ALS-CF, Wet-ALS-BF, Wet-DMS-CF, Wet-DMS-BF, Wet-DHS-CF, and Wet-DHS-BF, respectively. ALS, DMS, DHS, Dry, Wet, CF, and BF are the abbreviations of Ailaoshan, Damingshan, Dinghushan, Dry season, Wet season, Coniferous forest, Broadleaved forest, respectively. 14 15