PreprintCited by 136Soil Carbon and Nitrogen DynamicsBioenergy crop production and managementSoil erosion and sediment transport

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Microbial extracellular polysaccharide production and aggregate stability controlled by Switchgrass ( Panicum virgatum ) root biomass and soil water potential

Open access
Sher, Yonatan, Baker, Nameer R., Herman, Don, Fossum, Christina, Hale, Lauren, Zhang, Xing-Xu, Nuccio, Erin, Saha, Malay, Zhou, Jizhong, Pett-Ridge, Jennifer, Firestone, Mary·2019·Soil Biology and Biochemistry

Preprint — published as 10.1016/j.soilbio.2020.107742

Abstract

Deep-rooting perennial grasses are promising feedstock for biofuel production, especially in marginal soils lacking organic material, nutrients, and/or that experience significant water stress. Perennial grass roots can alter surrounding soil conditions and influence microbial activities, particularly the production of extracellular polymeric substances composed primarily of extracellular polysaccharides (EPS). These polymers can alleviate cellular moisture and nutrient stress, and enhance soil characteristics through improved water retention and aggregate stability, the latter of which may in turn enhance carbon persistence. In this study we used a 13 CO 2 tracer greenhouse experiment to examine the effect of switchgrass cultivation on the production and origin of EPS in a marginal soil with five fertilization/water treatments (control, +N, +NP, +P, low water). Soils with both added nitrogen and phosphorus had the highest root biomass, EPS and percentage of water-stable soil aggregates. Multiple linear regression analyses revealed root biomass was the most important determinant for soil EPS production, potentially by controlling carbon supply and diurnal changes in soil water potential. Path analysis highlighted the role of soil water potential were and EPS on with water-stable soil aggregates, indicating that EPS concentration and soil aggregation have similar drivers in this soil. High mannose content confirmed the microbial origin of EPS. 13 CO 2 labeling indicated that 0.18% of newly fixed plant carbon was incorporated into EPS. Analysis of field samples suggests that EPS is significantly enhanced under long-term switchgrass cultivation. Our results demonstrate that switchgrass cultivation can promote microbial production of EPS, providing a mechanism to enhance sustainability of marginal soils.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/724195

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Flagged first, then by citations

Research works printed but not linked: 102

  1. 10.1088/1748-9326/aafc10 · DOI
  2. 10.1016/j.soilbio.2017.10.002 · DOI
  3. 10.1007/s00374-009-0404-9 · DOI
  4. 10.1023/A:1004403009353 · DOI
  5. 10.1300/J064v14n02_08 · DOI
  6. 10.1111/j.1757-1707.2008.01001.x · DOI · Paper page
  7. 10.1016/S0038-0717(02)00070-6 · DOI
  8. 10.1111/j.2517-6161.1995.tb02031.x · DOI · Paper page
  9. 10.2135/cssaspecpub30.c12 · DOI
  10. 10.1016/j.apsoil.2012.06.005 · DOI
  11. 10.1007/s004420050363 · DOI
  12. 10.1016/j.carbpol.2007.11.021 · DOI
  13. 10.1128/JB.00727-07 · DOI
  14. 10.1016/B978-012088775-0/50004-5 · DOI
  15. Chenu, C. , 1995. Extracellular Polysaccharides: An Interface between Microorganisms and Soil Constituents, in: Huang, P.M. , Berthelin, J. , Bollag, J.-M. , McGill, W.B. (Eds.), Environmental Impacts of Soil Component Interactions: Land Quality, Natural and Anthropogenic Organics, Volume I. Presented at the Impact of interactions of inorganic, organic, and microbiological soil components on environmental quality, Edmonton, Alberta, Canada, pp. 217–233.
  16. 10.1016/0016-7061(93)90106-U · DOI
  17. 10.1111/j.1365-2389.2006.00834.x · DOI
  18. 10.1016/0038-0717(96)00070-3 · DOI
  19. Cheshire, M.V. , 1979. Nature and Origin of Carbohydrates in Soils. Academic Press, London, UK.
  20. 10.1111/j.1365-2389.1977.tb02290.x · DOI
  21. 10.3389/fmicb.2018.01636 · DOI
  22. 10.2134/jeq2001.2206 · DOI
  23. 10.1016/S1002-0160(13)60033-8 · DOI
  24. 10.1021/ac60111a017 · DOI · Paper page
  25. Fox, J. , Weisberg, S. , 2011. An R companion to applied regression, 2nd ed. ed. SAGE Publications, Thousand Oaks, Calif.
  26. 10.1016/0043-1354(95)00323-1 · DOI
  27. 10.1073/pnas.1017277108 · DOI
  28. 10.1007/s13199-011-0109-3 · DOI
  29. 10.1016/j.soilbio.2015.07.021 · DOI
  30. 10.1038/nrmicro821 · DOI
  31. 10.1081/CSS-120018969 · DOI
  32. 10.1073/pnas.94.14.7362 · DOI
  33. 10.1007/s10584-006-9178-3 · DOI
  34. 10.1016/S0038-0717(97)00207-1 · DOI
  35. 10.3389/fmicb.2017.02618 · DOI
  36. 10.1128/AEM.02289-09 · DOI
  37. 10.1016/0038-0717(96)00111-3 · DOI
  38. Kemper, W.D. , Rosenau, R.C. , 1986. Aggregate Stability and Size Distribution, in: Methods of Soil Analysis, Part 1. Physical and Mineralogical Methods (2nd Edition). pp. 425–442. · DOI
  39. 10.1016/B978-012409751-3/50019-0 · DOI
  40. 10.1038/nmicrobiol.2017.105 · DOI · Paper page
  41. 10.1016/j.soilbio.2006.04.004 · DOI
  42. 10.1016/S0961-9534(00)00013-1 · DOI · Paper page
  43. 10.1111/1758-2229.12152 · DOI
  44. 10.1016/j.soilbio.2018.07.009 · DOI
  45. 1946, Microorganisms and Soil Aggregation, Soil Science, 61, 157, 10.1097/00010694-194602000-00004 · DOI
  46. 10.2134/jeq2017.06.0226 · DOI · Paper page
  47. 10.2134/agronj2018.04.0284 · DOI
  48. 10.1890/04-1650 · DOI
  49. 10.1016/j.jenvman.2014.05.010 · DOI
  50. 10.1080/09593330903552094 · DOI
  51. 10.1007/BF02205590 · DOI
  52. 10.1016/j.soilbio.2013.01.031 · DOI
  53. 10.1016/j.geoderma.2015.04.016 · DOI
  54. Ontl, T.A. , Hofmockel, K.S. , Cambardella, C.A. , Schulte, L.A. , Kolka, R.K. , 2013. Topographic and soil influences on root productivity of three bioenergy cropping systems. New Phytologist 727–737. doi:10.1111/nph.12302@10.1002/(ISSN)1469-8137(CAT)VirtualIssues(VI)ScalingRootProcessesGlobalImpacts · DOI
  55. 1994, A Role for Exopolysaccharides in the Protection of Microorganisms from Desiccation, Appl. Environ. Microbiol., 60, 740, 10.1128/AEM.60.2.740-745.1994 · DOI
  56. 10.1016/j.advwatres.2006.05.025 · DOI
  57. 10.1155/2013/692374 · DOI
  58. 10.1080/07352680500316433 · DOI · Paper page
  59. 2011, Switchgrass is a promising, high-yielding crop for California biofuel, California Agriculture, 65, 168, 10.3733/ca.E.v065n03p168 · DOI
  60. 10.1111/j.1462-2920.2011.02679.x · DOI
  61. 10.1016/j.rhisph.2017.04.016 · DOI
  62. 10.1007/s00203-006-0127-3 · DOI
  63. 10.1016/j.soilbio.2014.01.025 · DOI
  64. 10.1016/j.soilbio.2015.05.025 · DOI
  65. 10.1016/j.scitotenv.2018.08.259 · DOI
  66. 1992, Relationship between desiccation and exopolysaccharide production in a soil Pseudomonas sp, Applied and Environmental Microbiology, 58, 1284, 10.1128/AEM.58.4.1284-1291.1992 · DOI
  67. 10.2136/sssaj1995.03615995005900060012x · DOI
  68. 10.1016/B978-0-12-415955-6.00014-1 · DOI
  69. 10.1126/science.aal2324 · DOI · Paper page
  70. 10.1111/gcbb.12396 · DOI
  71. 10.1007/BF00647668 · DOI
  72. 2012, lavaan: An R Package for Structural Equation Modeling, Journal of Statistical Software, 48, 1
  73. 10.3390/f9040184 · DOI
  74. 10.1134/S0026261715040153 · DOI
  75. 10.1146/annurev-ecolsys-110617-062614 · DOI
  76. 2007, SWRC fit – a nonlinear fitting program with a water retention curve for soils having unimodal and bimodal pore structure, Hydrology and Earth System Sciences Discussions, 4, 407, 10.5194/hessd-4-407-2007 · DOI
  77. 10.1016/j.biotechadv.2010.08.001 · DOI
  78. 10.1016/j.ibiod.2006.07.005 · DOI
  79. Shipley, B. , 2016. Cause and correlation biology users guide path analysis structural equations and causal inference r 2nd edition | Ecology and co, 2nd ed. Cambridge university press. · DOI
  80. 10.2136/sssaj1992.03615995005600060032x · DOI
  81. 10.1023/A:1016125726789 · DOI · Paper page
  82. 10.1016/S0038-0717(00)00179-6 · DOI · Paper page
  83. 10.1016/j.soilbio.2013.06.014 · DOI
  84. 10.1016/S0016-7061(96)00036-5 · DOI · Paper page
  85. 10.1007/s00203-011-0742-5 · DOI
  86. 10.1017/S1479050503001066 · DOI
  87. 10.1081/PLN-120038544 · DOI · Paper page
  88. 10.1111/gcbb.12126 · DOI · Paper page
  89. 10.1126/science.1133306 · DOI · Paper page
  90. 10.1111/j.1365-2389.1982.tb01755.x · DOI · Paper page
  91. 2011, Exopolysaccharide-Producing Plant Growth-Promoting Rhizobacteria Under Salinity Condition, Pedosphere, 21, 214, 10.1016/S1002-0160(11)60120-3 · DOI
  92. Venables, W.N. , Ripley, B.D. , 2002. Modern applied statistics with S, 4th ed. ed, Statistics and computing. Springer, New York. · DOI
  93. 10.2134/agronj2002.0413 · DOI · Paper page
  94. 10.1007/s00253-007-0870-7 · DOI
  95. 10.1016/j.soilbio.2019.05.014 · DOI
  96. Wickham, H. , 2016. ggplot2: elegant graphics for data analysis, Second edition. ed, Use R! Springer, Cham. · DOI
  97. Wolfaardt, G.M. , Lawrence, J.R. , Korber, D.R. , 1999. Function of EPS, in: Wingender, J. , Neu, T.R. , Flemming, H.-C. (Eds.), Microbial Extracellular Polymeric Substances. Springer. · DOI
  98. 10.1104/pp.16.00302 · DOI
  99. 10.1038/s41564-018-0129-3 · DOI
  100. 10.1128/AEM.01904-12 · DOI
  101. 10.1016/j.apsoil.2016.07.009 · DOI
  102. 10.1111/j.2041-210X.2009.00001.x · DOI · Paper page

Metadata

Authors
Sher, Y., Baker, N. R., Herman, D., Fossum, C., Hale, L., Zhang, X.-X., Nuccio, E., Saha, M., Zhou, J., Pett-Ridge, J., & Firestone, M.
Affiliations
  • Migal - Galilee Technology Center (IL)
  • University of California, Berkeley (US)
  • Agricultural Research Service (US)
  • Lawrence Livermore National Laboratory (US)
  • Noble Research Institute (US)
  • Lawrence Berkeley National Laboratory (US)
Corresponding author
Baker, Nameer R.
Venue
Soil Biology and Biochemistry
Publisher
openRxiv
Published
2019-08-05
Volume
143
Pages
107742-107742
ISSN
0038-0717 (ISSN-L)
OpenAlex
W3004872554
Cited by
136
References
2
Citations by year
2026: 26 · 2025: 25 · 2024: 22 · 2023: 16 · 2022: 23 · 2021: 17 · 2020: 6
FWCI
9.16
Type
journal article
Language
en
Open access
Locations
  • Soil Biology and Biochemistry (acceptedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion, cc-by)
  • Lanzhou University Institutional Repository (submittedVersion, cc-by-nc-sa)
  • Lanzhou University Institutional Repository (submittedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
Funders
  • U.S. Department of Energy (DEAC5207NA27344, DESC0014079, AC52‐07NA27344, SCW1555, Contract DE-AC52-07NA27344)
  • U.S. Department of Agriculture (2016-67012-24717)
  • University of California Berkeley
  • Oklahoma State University
  • University of Oklahoma
  • Noble Research Institute
  • National Institute of Food and Agriculture (2016-67012-24717)
  • Office of Science (DE-AC52-07NA27344, DESC0014079)
  • Lawrence Livermore National Laboratory (DE‐AC5207NA27344, 07NA27344, Contract DE-AC52-07NA27344, SCW1555, DE-AC52, AC52-07NA27344)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Bioenergy crop production and management
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil erosion and sediment transport
Keywords
exopolysaccharides, extracellular polymeric substances, switchgrass, root biomass, soil aggregate stability, soil water potential, marginal soils, biofuel feedstock, nitrogen fertilization, phosphorus fertilization, microbial carbon use, mannose, soil carbon persistence, perennial grasses

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