The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Host genotype and age shape the leaf and root microbiomes of a wild perennial plant
Open accessAbstract
Bacteria living on and in leaves and roots influence many aspects of plant health, so the extent of a plant’s genetic control over its microbiota is of great interest to crop breeders and evolutionary biologists. Laboratory-based studies, because they poorly simulate true environmental heterogeneity, may misestimate or totally miss the influence of certain host genes on the microbiome. Here we report a large-scale field experiment to disentangle the effects of genotype, environment, age and year of harvest on bacterial communities associated with leaves and roots of Boechera stricta(Brassicaceae), a perennial wild mustard. Host genetic control of the microbiome is evident in leaves but not roots, and varies substantially among sites. Microbiome composition also shifts as plants age. Furthermore, a large proportion of leaf bacterial groups are shared with roots, suggesting inoculation from soil. Our results demonstrate how genotype-by-environment interactions contribute to the complexity of microbiome assembly in natural environments.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
lmerTest Package: Tests in Linear Mixed Effects Models
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017) · Journal of Statistical Software · doi:10.18637/jss.v082.i13 · Cited by 24,346
phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data
McMurdie, P. J., & Holmes, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061217 · Cited by 21,322
Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 19,885
UPARSE: highly accurate OTU sequences from microbial amplicon reads
Edgar, R. C. (2013) · Nature Methods · doi:10.1038/nmeth.2604 · Cited by 16,707
FLASH: fast length adjustment of short reads to improve genome assemblies
Magoč, T., & Salzberg, S. L. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr507 · Cited by 15,366
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891
The rhizosphere microbiome and plant health
Berendsen, R. L., Pieterse, C. M. J., & Bakker, P. A. H. M. (2012) · Trends in Plant Science · doi:10.1016/j.tplants.2012.04.001 · Cited by 5,347
Evolutionary Significance of Phenotypic Plasticity in Plants
Bradshaw, A. D. (1965) · Advances in Genetics · doi:10.1016/s0065-2660(08)60048-6 · Cited by 3,124
Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible
McMurdie, P. J., & Holmes, S. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003531 · Cited by 2,921
Defining the core Arabidopsis thaliana root microbiome
Lundberg, D. S., Lebeis, S. L., Paredes, S. H., Yourstone, S., Gehring, J., Malfatti, S., Tremblay, J., Engelbrektson, A., Kunin, V., Rio, T. G. D., et al. (2012) · Nature · doi:10.1038/nature11237 · Cited by 2,879
Self-citationStructure, variation, and assembly of the root-associated microbiomes of rice
Edwards, J., Johnson, C., Santos-Medellín, C., Lurie, E., Podishetty, N. K., Bhatnagar, S., Eisen, J. A., & Sundaresan, V. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1414592112 · Cited by 2,856
Lozupone, C. A., Hamady, M., Kelley, S. T., & Knight, R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.01996-06 · Cited by 2,656
Revealing structure and assembly cues for Arabidopsis root-inhabiting bacterial microbiota
Bulgarelli, D., Rott, M., Schlaeppi, K., Ver Loren van Themaat, E., Ahmadinejad, N., Assenza, F., Rauf, P., Huettel, B., Reinhardt, R., Schmelzer, E., et al. (2012) · Nature · doi:10.1038/nature11336 · Cited by 2,544
Microbial life in the phyllosphere
Vorholt, J. A. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2910 · Cited by 2,303
Microbiology of the Phyllosphere
Lindow, S. E., & Brandl, M. T. (2003) · Applied and Environmental Microbiology · doi:10.1128/aem.69.4.1875-1883.2003 · Cited by 2,264
Diversity and heritability of the maize rhizosphere microbiome under field conditions
Peiffer, J. A., Spor, A., Koren, O., Jin, Z., Tringe, S. G., Dangl, J. L., Buckler, E. S., & Ley, R. E. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1302837110 · Cited by 1,820
Self-citationFunctional overlap of the Arabidopsis leaf and root microbiota
Bai, Y., Müller, D. B., Srinivas, G., Garrido-Oter, R., Potthoff, E., Rott, M., Dombrowski, N., Münch, P. C., Spaepen, S., Remus-Emsermann, M., et al. (2015) · Nature · doi:10.1038/nature16192 · Cited by 1,345
Host Biology in Light of the Microbiome: Ten Principles of Holobionts and Hologenomes
Bordenstein, S. R., & Theis, K. R. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002226 · Cited by 1,240
Salicylic acid modulates colonization of the root microbiome by specific bacterial taxa
Lebeis, S. L., Paredes, S. H., Lundberg, D. S., Breakfield, N., Gehring, J., McDonald, M., Malfatti, S., Glavina del Rio, T., Jones, C. D., Tringe, S. G., et al. (2015) · Science · doi:10.1126/science.aaa8764 · Cited by 1,227
Self-citationA framework for community and ecosystem genetics: from genes to ecosystems
Whitham, T. G., Bailey, J. K., Schweitzer, J. A., Shuster, S. M., Bangert, R. K., LeRoy, C. J., Lonsdorf, E. V., Allan, G. J., DiFazio, S. P., Potts, B. M., et al. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1877 · Cited by 1,139
Practical innovations for high-throughput amplicon sequencing
Lundberg, D. S., Yourstone, S., Mieczkowski, P., Jones, C. D., & Dangl, J. L. (2013) · Nature Methods · doi:10.1038/nmeth.2634 · Cited by 1,009
Self-citationThe Soil Microbiome Influences Grapevine-Associated Microbiota
Zarraonaindia, I., Owens, S. M., Weisenhorn, P., West, K., Hampton-Marcell, J., Lax, S., Bokulich, N. A., Mills, D. A., Martin, G., Taghavi, S., et al. (2015) · mBio · doi:10.1128/mbio.02527-14 · Cited by 990
The Problem of Environment and Selection
Falconer, D. S. (1952) · The American Naturalist · doi:10.1086/281736 · Cited by 979
Bacterial Communities Associated with the Leaves and the Roots of Arabidopsis thaliana
Bodenhausen, N., Horton, M. W., & Bergelson, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056329 · Cited by 870
Rapid responses of soil microorganisms improve plant fitness in novel environments
Lau, J. A., & Lennon, J. T. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1202319109 · Cited by 791
Heritable variation and evolution under favourable and unfavourable conditions
Hoffmann, A. A., & Merilä, J. (1999) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(99)01595-5 · Cited by 754
Coleman‐Derr, D., Desgarennes, D., Fonseca‐Garcia, C., Gross, S., Clingenpeel, S., Woyke, T., North, G., Visel, A., Partida‐Martinez, L. P., & Tringe, S. G. (2016) · New Phytologist · doi:10.1111/nph.13697 · Cited by 723
Self-citationCOMMUNITY AND ECOSYSTEM GENETICS: A CONSEQUENCE OF THE EXTENDED PHENOTYPE
Whitham, T. G., Young, W. P., Martinsen, G. D., Gehring, C. A., Schweitzer, J. A., Shuster, S. M., Wimp, G. M., Fischer, D. G., Bailey, J. K., Lindroth, R. L., et al. (2003) · Ecology · doi:10.1890/0012-9658(2003)084[0559:caegac]2.0.co;2 · Cited by 707
Redford, A. J., Bowers, R. M., Knight, R., Linhart, Y., & Fierer, N. (2010) · Environmental Microbiology · doi:10.1111/j.1462-2920.2010.02258.x · Cited by 687
Schlaeppi, K., & Bulgarelli, D. (2015) · Molecular Plant-Microbe Interactions® · doi:10.1094/mpmi-10-14-0334-fi · Cited by 540
Advances in Molecular Breeding Toward Drought and Salt Tolerant Crops
(2007) · Springer eBooks · doi:10.1007/978-1-4020-5578-2 · Cited by 538
Primer and platform effects on 16S rRNA tag sequencing
Tremblay, J., Singh, K., Fern, A., Kirton, E. S., He, S., Woyke, T., Lee, J., Chen, F., Dangl, J. L., & Tringe, S. G. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00771 · Cited by 529
Self-citationKembel, S. W., Wu, M., Eisen, J. A., & Green, J. L. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002743 · Cited by 516
The Hologenome Concept: Helpful or Hollow?
Moran, N. A., & Sloan, D. B. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002311 · Cited by 508
Cryptic genetic variation: evolution's hidden substrate
Paaby, A. B., & Rockman, M. V. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3688 · Cited by 500
A Synthetic Community Approach Reveals Plant Genotypes Affecting the Phyllosphere Microbiota
Bodenhausen, N., Bortfeld-Miller, M., Ackermann, M., & Vorholt, J. A. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004283 · Cited by 473
Santhanam, R., Luu, V. T., Weinhold, A., Goldberg, J., Oh, Y., & Baldwin, I. T. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1505765112 · Cited by 442
Genome-wide association study of Arabidopsis thaliana leaf microbial community
Horton, M. W., Bodenhausen, N., Beilsmith, K., Meng, D., Muegge, B. D., Subramanian, S., Vetter, M. M., Vilhjálmsson, B. J., Nordborg, M., Gordon, J. I., et al. (2014) · Nature Communications · doi:10.1038/ncomms6320 · Cited by 431
The microbiome of the leaf surface of Arabidopsis protects against a fungal pathogen
Ritpitakphong, U., Falquet, L., Vimoltust, A., Berger, A., Métraux, J., & L'Haridon, F. (2016) · New Phytologist · doi:10.1111/nph.13808 · Cited by 390
Lau, J. A., & Lennon, J. T. (2011) · New Phytologist · doi:10.1111/j.1469-8137.2011.03790.x · Cited by 383
Wagner, M. R., Lundberg, D. S., Coleman‐Derr, D., Tringe, S. G., Dangl, J. L., & Mitchell‐Olds, T. (2014) · Ecology Letters · doi:10.1111/ele.12276 · Cited by 324
Self-citationMaignien, L., DeForce, E. A., Chafee, M. E., Eren, A. M., & Simmons, S. L. (2014) · mBio · doi:10.1128/mbio.00682-13 · Cited by 314
Seasonal Community Succession of the Phyllosphere Microbiome
Copeland, J. K., Yuan, L., Layeghifard, M., Wang, P. W., & Guttman, D. S. (2015) · Molecular Plant-Microbe Interactions® · doi:10.1094/mpmi-10-14-0331-fi · Cited by 314
Shakya, M., Gottel, N., Castro, H., Yang, Z. K., Gunter, L., Labbé, J., Muchero, W., Bonito, G., Vilgalys, R., Tuskan, G., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076382 · Cited by 307
The genetics of phenotypic plasticity. V. Evolution of reaction norm shape
Gavrilets, S., & Scheiner, S. M. (1993) · Journal of Evolutionary Biology · doi:10.1046/j.1420-9101.1993.6010031.x · Cited by 307
Plant host and soil origin influence fungal and bacterial assemblages in the roots of woody plants
Bonito, G., Reynolds, H., Robeson, M. S., Nelson, J., Hodkinson, B. P., Tuskan, G., Schadt, C. W., & Vilgalys, R. (2014) · Molecular Ecology · doi:10.1111/mec.12821 · Cited by 295
Bressan, M., Roncato, M.-A., Bellvert, F., Comte, G., Haichar, F. E. Z., Achouak, W., & Berge, O. (2009) · The ISME Journal · doi:10.1038/ismej.2009.68 · Cited by 279
Bacterial Succession on the Leaf Surface: A Novel System for Studying Successional Dynamics
Redford, A. J., & Fierer, N. (2009) · Microbial Ecology · doi:10.1007/s00248-009-9495-y · Cited by 261
Distinctive Phyllosphere Bacterial Communities in Tropical Trees
Kim, M., Singh, D., Lai-Hoe, A., Go, R., Abdul Rahim, R., A.N., A., Chun, J., & Adams, J. M. (2012) · Microbial Ecology · doi:10.1007/s00248-011-9953-1 · Cited by 201
Common foliar fungi of Populus trichocarpa modify Melampsora rust disease severity
Busby, P. E., Peay, K. G., & Newcombe, G. (2016) · New Phytologist · doi:10.1111/nph.13742 · Cited by 183
The effect of new environment on adapted genetic architecture
Holloway, G. J., Povey, S. R., & Sibly, R. M. (1990) · Heredity · doi:10.1038/hdy.1990.40 · Cited by 149
The evolution of quantitative traits in complex environments
Anderson, J. T., Wagner, M. R., Rushworth, C. A., Prasad, K. V. S. K., & Mitchell‐Olds, T. (2013) · Heredity · doi:10.1038/hdy.2013.33 · Cited by 142
Self-citationBalint-Kurti, P. J., Simmons, S. J., Blum, J. E., Ballaré, C. L., & Stapleton, A. E. (2010) · Molecular Plant-Microbe Interactions · doi:10.1094/mpmi-23-4-0473 · Cited by 132
Ontogenetic switches from plant resistance to tolerance: minimizing costs with age?
Boege, K., Dirzo, R., Siemens, D. H., & Brown, P. (2007) · Ecology Letters · doi:10.1111/j.1461-0248.2006.01012.x · Cited by 128
Boechera, a model system for ecological genomics
Rushworth, C. A., Song, B., Lee, C., & Mitchell‐Olds, T. (2011) · Molecular Ecology · doi:10.1111/j.1365-294x.2011.05340.x · Cited by 102
Self-citationTimm, C. M., Campbell, A. G., Utturkar, S. M., Jun, S., Parales, R. E., Tan, W. A., Robeson, M. S., Lu, T.-Y. S., Jawdy, S. S., Brown, S. D., et al. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.01118 · Cited by 70
Hoffmann, A. A., & Schiffer, M. (1998) · Evolution · doi:10.1111/j.1558-5646.1998.tb01847.x · Cited by 46
Pongrac, P., Vogel‐Mikuš, K., Regvar, M., Tolrà, R. P., Poschenrieder, C., & Barceló, J. A. (2008) · Journal of Chemical Ecology · doi:10.1007/s10886-008-9502-7 · Cited by 32
Cited by
Understanding and exploiting plant beneficial microbes
Finkel, O. M., Castrillo, G., Herrera Paredes, S., Salas González, I., & Dangl, J. L. (2017) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2017.04.018 · Cited by 721
Self-citationHost selection shapes crop microbiome assembly and network complexity
Xiong, C., Zhu, Y., Wang, J., Singh, B., Han, L., Shen, J., Li, P., Wang, G., Wu, C., Ge, A., et al. (2021) · New Phytologist · doi:10.1111/nph.16890 · Cited by 710
Interplay Between Innate Immunity and the Plant Microbiota
Hacquard, S., Spaepen, S., Garrido-Oter, R., & Schulze-Lefert, P. (2017) · Annual Review of Phytopathology · doi:10.1146/annurev-phyto-080516-035623 · Cited by 513
Ecology and Genomic Insights into Plant-Pathogenic and Plant-Nonpathogenic Endophytes
Brader, G., Compant, S., Vescio, K., Mitter, B., Trognitz, F., Ma, L.-J., & Sessitsch, A. (2017) · Annual Review of Phytopathology · doi:10.1146/annurev-phyto-080516-035641 · Cited by 482
Flandroy, L., Poutahidis, T., Berg, G., Clarke, G., Dao, M.-C., Decaestecker, E., Furman, E., Haahtela, T., Massart, S., Plovier, H., et al. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.01.288 · Cited by 394
Metadata
- Authors
- Wagner, M. R., Lundberg, D. S., del Rio, T. G., Tringe, S. G., Dangl, J. L., & Mitchell-Olds, T.
- Venue
- Nature Communications
- Published
- 2016-07-12
- Volume
- 7
- Issue
- 1
- Pages
- 12151-12151
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2464547619
- Cited by
- 990
- References
- 63
- FWCI
- 68.76
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.