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Camenzind T, Aguilar-Trigueros CA, Hempel S, Lehmann A, Bielcik M, Andrade-Linares DR, Bergmann J, Dela Cruz J, Gawronski J, Golubeva P, Haslwimmer H, Lartey L, Leifheit E, Maaß S, Marhan S, Pinek L, Powell JR, Roy J, Veresoglou SD, Wang D, Wulf A, Zheng W, Rillig MC. Towards establishing a fungal economics spectrum in soil saprobic fungi. Nat Commun 2024; 15:3321. [PMID: 38637578 PMCID: PMC11026409 DOI: 10.1038/s41467-024-47705-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 04/10/2024] [Indexed: 04/20/2024] Open
Abstract
Trait-based frameworks are promising tools to understand the functional consequences of community shifts in response to environmental change. The applicability of these tools to soil microbes is limited by a lack of functional trait data and a focus on categorical traits. To address this gap for an important group of soil microorganisms, we identify trade-offs underlying a fungal economics spectrum based on a large trait collection in 28 saprobic fungal isolates, derived from a common grassland soil and grown in culture plates. In this dataset, ecologically relevant trait variation is best captured by a three-dimensional fungal economics space. The primary explanatory axis represents a dense-fast continuum, resembling dominant life-history trade-offs in other taxa. A second significant axis reflects mycelial flexibility, and a third one carbon acquisition traits. All three axes correlate with traits involved in soil carbon cycling. Since stress tolerance and fundamental niche gradients are primarily related to the dense-fast continuum, traits of the 2nd (carbon-use efficiency) and especially the 3rd (decomposition) orthogonal axes are independent of tested environmental stressors. These findings suggest a fungal economics space which can now be tested at broader scales.
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Affiliation(s)
- Tessa Camenzind
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany.
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany.
| | - Carlos A Aguilar-Trigueros
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2751, Australia
- Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35, 40014, Jyväskylä, Finland
| | - Stefan Hempel
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Anika Lehmann
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Milos Bielcik
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Diana R Andrade-Linares
- Research Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany
| | - Joana Bergmann
- Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, Müncheberg, Germany
| | - Jeane Dela Cruz
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Jessie Gawronski
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Polina Golubeva
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Heike Haslwimmer
- Institute of Soil Science and Land Evaluation, Soil Biology department, University of Hohenheim, Emil-Wolff-Str. 27, 70599, Stuttgart, Germany
| | - Linda Lartey
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Eva Leifheit
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Stefanie Maaß
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Sven Marhan
- Institute of Soil Science and Land Evaluation, Soil Biology department, University of Hohenheim, Emil-Wolff-Str. 27, 70599, Stuttgart, Germany
| | - Liliana Pinek
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Jeff R Powell
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Julien Roy
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Stavros D Veresoglou
- State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen, 518107, China
| | - Dongwei Wang
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Anja Wulf
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Weishuang Zheng
- Marine Institute for Bioresources and Environment, Peking University Shenzhen Institute, Shenzhen, 518057, China
| | - Matthias C Rillig
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
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Desuó IC, Souza-Galheico CB, Shima SN, Santos GMM, Cruz JD, Bichara Filho CC, Dias CTS. An adaptive view of caste differentiation in the neotropical wasp Polybia (Trichothorax) sericea Olivier (Hymenoptera: Vespidae). Neotrop Entomol 2011; 40:653-660. [PMID: 23939271 DOI: 10.1590/s1519-566x2011000600004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2011] [Accepted: 08/09/2011] [Indexed: 06/02/2023]
Abstract
The tribe Epiponini comprehends the swarm-founding Neotropical wasps, with several species endemic to Brazil, which are extremely important in studies of social evolution of wasps. The Epiponini diverge in several ways from the definitions of high eusociality, since caste syndromes range from species without morphological caste differentiation to those with complete caste dimorphism, and all species are polygynous. Frequently, indirect studies based on morphometry and physiology are the only solutions to collect data regarding the natural history and caste system in this tribe, since most species are extremely aggressive and build enveloped nests, usually in places of difficult access. We analyzed morphological parameters in seven colonies of the Epiponini species Polybia (Trichothorax) sericea Olivier in different phases of colonial development. Nine body variables were taken and females were classified according to their ovary development and spermathecal contents. The results showed that caste differences in this species are based on a contrast among variables: queens have larger mesosoma and abdomen, but are smaller in head width and wing length. These results suggest that morphological caste differentiation in this species is based mainly on body shape. We considered this combination of characters as being adaptive. We also showed that caste differences varied according to the colony cycle, with more conspicuous differences when queen number is reduced.
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Cosman F, Baz-Hecht M, Cushman M, Vardy MD, Cruz JD, Nieves JW, Zion M, Lindsay R. Short-term effects of estrogen, tamoxifen and raloxifene on hemostasis: a randomized-controlled study and review of the literature. Thromb Res 2005; 116:1-13. [PMID: 15850603 DOI: 10.1016/j.thromres.2004.09.014] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2004] [Revised: 09/13/2004] [Accepted: 09/21/2004] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Estrogen therapy (ET), tamoxifen and raloxifene are associated with a two- to three-fold increased risk of venous thrombosis (VT); however, the mechanisms by which each drug increases venous thrombosis propensity are not fully understood. The objectives of this investigation were to compare the effects of these three treatments on hemostasis in a head to head randomized placebo-controlled trial. PATIENTS/METHODS Ninety-four postmenopausal women were assigned to receive oral estrogen (conjugated equine estrogen [CEE] 0.625 mg, n=23), tamoxifen 20 mg (n=24), raloxifene 60 mg (n=24) or placebo (n=23) daily for 6 months. Blood samples were analyzed for procoagulant factors (prothrombin, factors VII [fVII], VIII [fVIII], IX [fIX] and XI [fXI], D-dimer and von Willebrand factor [vWf]), anticoagulant factors (antithrombin [AT], total and free protein S, protein C and activated protein C [APC] resistance) and fibrinolytic factors (thrombin activatable fibrinolysis inhibitor [TAFI] and plasminogen activator inhibitor-1 [PAI-1]), at baseline and at 6 months of treatment. RESULTS Estrogen increased factor VII and D-dimer, and decreased antithrombin, total and free protein S and PAI-1. Changes with tamoxifen were distinct from estrogen with increases in factors VIII, IX, vWf and free protein S, and decreases in AT, total protein S, protein C and plasminogen activator inhibitor-1. Raloxifene produced similar effects as tamoxifen, but did not increase factor IX or decrease protein C. CONCLUSIONS Estrogen, tamoxifen and raloxifene affected hemostasis favoring procoagulation and impairing anticoagulation. The biochemical effects of the selective estrogen receptor modulators (SERMs) were distinct from those of estrogen and differed only subtly from each other.
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Affiliation(s)
- F Cosman
- Clinical Research/Regional Bone Centers, Helen Hayes Hospital, West Haverstraw, NY 10993, USA.
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