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Methods for Studying Bacterial–Fungal Interactions in the Microenvironments of Soil. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11199182] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Due to their small size, microorganisms directly experience only a tiny portion of the environmental heterogeneity manifested in the soil. The microscale variations in soil properties constrain the distribution of fungi and bacteria, and the extent to which they can interact with each other, thereby directly influencing their behavior and ecological roles. Thus, to obtain a realistic understanding of bacterial–fungal interactions, the spatiotemporal complexity of their microenvironments must be accounted for. The objective of this review is to further raise awareness of this important aspect and to discuss an overview of possible methodologies, some of easier applicability than others, that can be implemented in the experimental design in this field of research. The experimental design can be rationalized in three different scales, namely reconstructing the physicochemical complexity of the soil matrix, identifying and locating fungi and bacteria to depict their physical interactions, and, lastly, analyzing their molecular environment to describe their activity. In the long term, only relevant experimental data at the cell-to-cell level can provide the base for any solid theory or model that may serve for accurate functional prediction at the ecosystem level. The way to this level of application is still long, but we should all start small.
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Koç MM, Aslan N, Kao AP, Barber AH. Evaluation of X-ray tomography contrast agents: A review of production, protocols, and biological applications. Microsc Res Tech 2019; 82:812-848. [PMID: 30786098 DOI: 10.1002/jemt.23225] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 01/02/2019] [Accepted: 01/12/2019] [Indexed: 12/25/2022]
Abstract
X-ray computed tomography is a strong tool that finds many applications both in medical applications and in the investigation of biological and nonbiological samples. In the clinics, X-ray tomography is widely used for diagnostic purposes whose three-dimensional imaging in high resolution helps physicians to obtain detailed image of investigated regions. Researchers in biological sciences and engineering use X-ray tomography because it is a nondestructive method to assess the structure of their samples. In both medical and biological applications, visualization of soft tissues and structures requires special treatment, in which special contrast agents are used. In this detailed report, molecule-based and nanoparticle-based contrast agents used in biological applications to enhance the image quality were compiled and reported. Special contrast agent applications and protocols to enhance the contrast for the biological applications and works to develop nanoparticle contrast agents to enhance the contrast for targeted drug delivery and general imaging applications were also assessed and listed.
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Affiliation(s)
- Mümin Mehmet Koç
- School of Engineering, University of Portsmouth, Portsmouth, United Kingdom.,Department of Physics, Kirklareli University, Kirklareli, Turkey
| | - Naim Aslan
- Department of Metallurgical and Materials Engineering, Munzur University, Tunceli, Turkey
| | - Alexander P Kao
- School of Engineering, University of Portsmouth, Portsmouth, United Kingdom
| | - Asa H Barber
- School of Engineering, London South Bank University, London, United Kingdom
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Baveye PC, Otten W, Kravchenko A, Balseiro-Romero M, Beckers É, Chalhoub M, Darnault C, Eickhorst T, Garnier P, Hapca S, Kiranyaz S, Monga O, Mueller CW, Nunan N, Pot V, Schlüter S, Schmidt H, Vogel HJ. Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain. Front Microbiol 2018; 9:1929. [PMID: 30210462 PMCID: PMC6119716 DOI: 10.3389/fmicb.2018.01929] [Citation(s) in RCA: 125] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 07/30/2018] [Indexed: 01/17/2023] Open
Abstract
Over the last 60 years, soil microbiologists have accumulated a wealth of experimental data showing that the bulk, macroscopic parameters (e.g., granulometry, pH, soil organic matter, and biomass contents) commonly used to characterize soils provide insufficient information to describe quantitatively the activity of soil microorganisms and some of its outcomes, like the emission of greenhouse gasses. Clearly, new, more appropriate macroscopic parameters are needed, which reflect better the spatial heterogeneity of soils at the microscale (i.e., the pore scale) that is commensurate with the habitat of many microorganisms. For a long time, spectroscopic and microscopic tools were lacking to quantify processes at that scale, but major technological advances over the last 15 years have made suitable equipment available to researchers. In this context, the objective of the present article is to review progress achieved to date in the significant research program that has ensued. This program can be rationalized as a sequence of steps, namely the quantification and modeling of the physical-, (bio)chemical-, and microbiological properties of soils, the integration of these different perspectives into a unified theory, its upscaling to the macroscopic scale, and, eventually, the development of new approaches to measure macroscopic soil characteristics. At this stage, significant progress has been achieved on the physical front, and to a lesser extent on the (bio)chemical one as well, both in terms of experiments and modeling. With regard to the microbial aspects, although a lot of work has been devoted to the modeling of bacterial and fungal activity in soils at the pore scale, the appropriateness of model assumptions cannot be readily assessed because of the scarcity of relevant experimental data. For significant progress to be made, it is crucial to make sure that research on the microbial components of soil systems does not keep lagging behind the work on the physical and (bio)chemical characteristics. Concerning the subsequent steps in the program, very little integration of the various disciplinary perspectives has occurred so far, and, as a result, researchers have not yet been able to tackle the scaling up to the macroscopic level. Many challenges, some of them daunting, remain on the path ahead. Fortunately, a number of these challenges may be resolved by brand new measuring equipment that will become commercially available in the very near future.
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Affiliation(s)
- Philippe C. Baveye
- UMR ECOSYS, AgroParisTech, Université Paris-Saclay, Thiverval-Grignon, rance
| | - Wilfred Otten
- School of Water, Energy and Environment, Cranfield University, Cranfield, United Kingdom
| | - Alexandra Kravchenko
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, United States
| | - María Balseiro-Romero
- UMR ECOSYS, AgroParisTech, Université Paris-Saclay, Thiverval-Grignon, rance
- Department of Soil Science and Agricultural Chemistry, Centre for Research in Environmental Technologies, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Éléonore Beckers
- Soil–Water–Plant Exchanges, Terra Research Centre, BIOSE, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
| | - Maha Chalhoub
- UMR ECOSYS, INRA, Université Paris-Saclay, Thiverval-Grignon, France
| | - Christophe Darnault
- Laboratory of Hydrogeoscience and Biological Engineering, L.G. Rich Environmental Laboratory, Department of Environmental Engineering and Earth Sciences, Clemson University, Clemson, SC, United States
| | - Thilo Eickhorst
- Faculty 2 Biology/Chemistry, University of Bremen, Bremen, Germany
| | - Patricia Garnier
- UMR ECOSYS, INRA, Université Paris-Saclay, Thiverval-Grignon, France
| | - Simona Hapca
- Dundee Epidemiology and Biostatistics Unit, School of Medicine, University of Dundee, Dundee, United Kingdom
| | - Serkan Kiranyaz
- Department of Electrical Engineering, Qatar University, Doha, Qatar
| | - Olivier Monga
- Institut de Recherche pour le Développement, Bondy, France
| | - Carsten W. Mueller
- Lehrstuhl für Bodenkunde, Technical University of Munich, Freising, Germany
| | - Naoise Nunan
- Institute of Ecology and Environmental Sciences – Paris, Sorbonne Universités, CNRS, IRD, INRA, P7, UPEC, Paris, France
| | - Valérie Pot
- UMR ECOSYS, INRA, Université Paris-Saclay, Thiverval-Grignon, France
| | - Steffen Schlüter
- Soil System Science, Helmholtz-Zentrum für Umweltforschung GmbH – UFZ, Leipzig, Germany
| | - Hannes Schmidt
- Terrestrial Ecosystem Research, Department of Microbiology and Ecosystem Science, Research Network ‘Chemistry meets Microbiology’, University of Vienna, Vienna, Austria
| | - Hans-Jörg Vogel
- Soil System Science, Helmholtz-Zentrum für Umweltforschung GmbH – UFZ, Leipzig, Germany
- Institute of Soil Science and Plant Nutrition, Martin Luther University of Halle-Wittenberg, Halle, Germany
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Yan L, Guo Y, Qi J, Zhu Q, Gu L, Zheng C, Lin T, Lu Y, Zeng Z, Yu S, Zhu S, Zhou X, Zhang X, Du Y, Yao Z, Lu Y, Liu X. Iodine and freeze-drying enhanced high-resolution MicroCT imaging for reconstructing 3D intraneural topography of human peripheral nerve fascicles. J Neurosci Methods 2017. [PMID: 28634148 DOI: 10.1016/j.jneumeth.2017.06.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND The precise annotation and accurate identification of the topography of fascicles to the end organs are prerequisites for studying human peripheral nerves. NEW METHOD In this study, we present a feasible imaging method that acquires 3D high-resolution (HR) topography of peripheral nerve fascicles using an iodine and freeze-drying (IFD) micro-computed tomography (microCT) method to greatly increase the contrast of fascicle images. RESULTS The enhanced microCT imaging method can facilitate the reconstruction of high-contrast HR fascicle images, fascicle segmentation and extraction, feature analysis, and the tracing of fascicle topography to end organs, which define fascicle functions. COMPARISON WITH EXISTING METHODS The complex intraneural aggregation and distribution of fascicles is typically assessed using histological techniques or MR imaging to acquire coarse axial three-dimensional (3D) maps. However, the disadvantages of histological techniques (static, axial manual registration, and data instability) and MR imaging (low-resolution) limit these applications in reconstructing the topography of nerve fascicles. CONCLUSIONS Thus, enhanced microCT is a new technique for acquiring 3D intraneural topography of the human peripheral nerve fascicles both to improve our understanding of neurobiological principles and to guide accurate repair in the clinic. Additionally, 3D microstructure data can be used as a biofabrication model, which in turn can be used to fabricate scaffolds to repair long nerve gaps.
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Affiliation(s)
- Liwei Yan
- Department of Microsurgery and Orthopedic Trauma, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, PR China; Center for Peripheral Nerve Tissue Engineering and Technology Research, Guangdong, Guangzhou 510080, PR China.
| | - Yongze Guo
- School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510080, PR China; Guangdong Province Key Laboratory of Computational Science, Guangzhou 510080, PR China.
| | - Jian Qi
- Department of Microsurgery and Orthopedic Trauma, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, PR China; Center for Peripheral Nerve Tissue Engineering and Technology Research, Guangdong, Guangzhou 510080, PR China.
| | - Qingtang Zhu
- Department of Microsurgery and Orthopedic Trauma, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, PR China; Center for Peripheral Nerve Tissue Engineering and Technology Research, Guangdong, Guangzhou 510080, PR China.
| | - Liqiang Gu
- Department of Microsurgery and Orthopedic Trauma, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, PR China; Center for Peripheral Nerve Tissue Engineering and Technology Research, Guangdong, Guangzhou 510080, PR China.
| | - Canbin Zheng
- Department of Microsurgery and Orthopedic Trauma, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, PR China; Center for Peripheral Nerve Tissue Engineering and Technology Research, Guangdong, Guangzhou 510080, PR China.
| | - Tao Lin
- Department of Microsurgery and Orthopedic Trauma, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, PR China; Center for Peripheral Nerve Tissue Engineering and Technology Research, Guangdong, Guangzhou 510080, PR China.
| | - Yutong Lu
- National Supercomputer Center in GuangZhou, Sun Yat-sen University, Guangzhou 510080, PR China.
| | - Zitao Zeng
- School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510080, PR China; Guangdong Province Key Laboratory of Computational Science, Guangzhou 510080, PR China.
| | - Sha Yu
- School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510080, PR China; Guangdong Province Key Laboratory of Computational Science, Guangzhou 510080, PR China.
| | - Shuang Zhu
- Department of Microsurgery and Orthopedic Trauma, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, PR China; Center for Peripheral Nerve Tissue Engineering and Technology Research, Guangdong, Guangzhou 510080, PR China.
| | - Xiang Zhou
- Department of Microsurgery and Orthopedic Trauma, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, PR China; Center for Peripheral Nerve Tissue Engineering and Technology Research, Guangdong, Guangzhou 510080, PR China.
| | - Xi Zhang
- National Supercomputer Center in GuangZhou, Sun Yat-sen University, Guangzhou 510080, PR China.
| | - Yunfei Du
- National Supercomputer Center in GuangZhou, Sun Yat-sen University, Guangzhou 510080, PR China.
| | - Zhi Yao
- Department of Microsurgery and Orthopedic Trauma, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, PR China; Center for Peripheral Nerve Tissue Engineering and Technology Research, Guangdong, Guangzhou 510080, PR China.
| | - Yao Lu
- School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510080, PR China; Guangdong Province Key Laboratory of Computational Science, Guangzhou 510080, PR China.
| | - Xiaolin Liu
- Department of Microsurgery and Orthopedic Trauma, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, PR China; Center for Peripheral Nerve Tissue Engineering and Technology Research, Guangdong, Guangzhou 510080, PR China.
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Abstract
ABSTRACT
The characteristic growth pattern of fungal mycelia as an interconnected network has a major impact on how cellular events operating on a micron scale affect colony behavior at an ecological scale. Network structure is intimately linked to flows of resources across the network that in turn modify the network architecture itself. This complex interplay shapes the incredibly plastic behavior of fungi and allows them to cope with patchy, ephemeral resources, competition, damage, and predation in a manner completely different from multicellular plants or animals. Here, we try to link network structure with impact on resource movement at different scales of organization to understand the benefits and challenges of organisms that grow as connected networks. This inevitably involves an interdisciplinary approach whereby mathematical modeling helps to provide a bridge between information gleaned by traditional cell and molecular techniques or biophysical approaches at a hyphal level, with observations of colony dynamics and behavior at an ecological level.
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Lewinska AM, Hoof JB, Peuhkuri RH, Rode C, Lilje O, Foley M, Trimby P, Andersen B. Visualization of the structural changes in plywood and gypsum board during the growth of Chaetomium globosum and Stachybotrys chartarum. J Microbiol Methods 2016; 129:28-38. [PMID: 27476483 DOI: 10.1016/j.mimet.2016.07.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Revised: 07/26/2016] [Accepted: 07/26/2016] [Indexed: 11/28/2022]
Abstract
Fungal growth in indoor environments is associated with many negative health effects. Many studies focus on brown- and white-rot fungi and their effect on wood, but there is none that reveals the influence of soft-rot fungi, such as Stachybotrys spp. and Chaetomium spp., on the structure of building materials such as plywood and gypsum wallboard. This study focuses on using micro-computed tomography (microCT) to investigate changes of the structure of plywood and gypsum wallboard during fungal degradation by S. chartarum and C. globosum. Changes in the materials as a result of dampness and fungal growth were determined by measuring porosity and pore shape via microCT. The results show that the composition of the building material influenced the level of penetration by fungi as shown by scanning electron microscopy (SEM). Plywood appeared to be the most affected, with the penetration of moisture and fungi throughout the whole thickness of the sample. Conversely, fungi grew only on the top cardboard in the gypsum wallboard and they did not have significant influence on the gypsum wallboard structure. The majority of the observed changes in gypsum wallboard occurred due to moisture. This paper suggests that the mycelium distribution within building materials and the structural changes, caused by dampness and fungal growth, depend on the type of the material.
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Affiliation(s)
- Anna M Lewinska
- Department of Bioengineering and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark.
| | - Jakob B Hoof
- Department of Bioengineering and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Ruut H Peuhkuri
- Danish Building Research Institute, Aalborg University, København SV, Denmark
| | - Carsten Rode
- Department of Civil Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Osu Lilje
- School of Life and Environmental Sciences, University of Sydney, Sydney, Australia
| | - Matthew Foley
- Australian Center for Microscopy and Microanalysis, University of Sydney, Sydney, Australia
| | - Patrick Trimby
- Australian Center for Microscopy and Microanalysis, University of Sydney, Sydney, Australia
| | - Birgitte Andersen
- Department of Bioengineering and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark
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Toward Modeling the Resistance and Resilience of "Below-ground" Fungal Communities: A Mechanistic and Trait-Based Approach. ADVANCES IN APPLIED MICROBIOLOGY 2015; 93:1-44. [PMID: 26505687 DOI: 10.1016/bs.aambs.2015.08.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The role of fungi in shaping ecosystems is well evidenced and there is growing recognition of their importance among scientists and the general public. Establishing and separating the role of key local (soil chemical, biological, and physical properties) and global (climate, dispersal limitation) drivers in fungal community structure and functioning is currently a source of frustration to mycologists. The quest to determine niche processes and environmental characteristics shaping fungal community structure, known to be important for plant and animal communities, is proving difficult, resulting in the acknowledgment that niche neutral processes (climate, dispersal limitations) may dominate. The search for predictable patterns in fungal community structure may have been restricted as the "appropriate" scales at which to measure community structure and characterize the environment have not been fully determined yet, and the focus on taxonomy makes it difficult to link environmental characteristics to fungal traits. While key determinants of microbial community composition have been uncovered for some functional groups, the differential response of functional groups is largely unknown. Before we can truly understand what drives the development of microbial community structure, an understanding of the autecology of major fungal taxa and how they interact with their immediate environment (from the micro- up to kilometer scale) is urgently needed. Furthermore, key information and empirical data is missing at the microscale due to experimental difficulties in mapping this heterogeneous and opaque environment. We therefore present a framework that would help generate this much-needed empirical data and information at the microscale, together with modeling approaches to link the spatial and temporal scales. The latter is important as we propose that there is much to be gained by linking our understanding of fungal community responses across scales, in order to develop species and community-environment-function predictive models.
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Mickiewicz P, Binkowski M, Bursig H, Wróbel Z. X-ray microtomography-based measurements of meniscal allografts. Orthop Traumatol Surg Res 2015; 101:319-24. [PMID: 25623273 DOI: 10.1016/j.otsr.2014.11.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2014] [Revised: 11/10/2014] [Accepted: 11/17/2014] [Indexed: 02/02/2023]
Abstract
BACKGROUND X-ray microcomputed tomography (XMT) is a technique widely used to image hard and soft tissues. Meniscal allografts as collagen structures can be imaged and analyzed using XMT. The aim of this study was to present an XMT scanning protocol that can be used to obtain the 3D geometry of menisci. It was further applied to compare two methods of meniscal allograft measurement: traditional (based on manual measurement) and novel (based on digital measurement of 3D models of menisci obtained with use of XMT scanner). HYPOTHESIS The XMT-based menisci measurement is a reliable method for assessing the geometry of a meniscal allograft by measuring the basic meniscal dimensions known from traditional protocol. MATERIALS AND METHODS Thirteen dissected menisci were measured according the same principles traditionally applied in a tissue bank. Next, the same specimens were scanned by a laboratory scanner in the XMT Lab. The images were processed to obtain a 3D mesh. 3D models of allograft geometry were then measured using a novel protocol enhanced by computer software. Then, both measurements were compared using statistical tests. RESULTS The results showed significant differences (P<0.05) between the lengths of the medial and lateral menisci measured in the tissue bank and the XMT Lab. Also, medial meniscal widths were significantly different (P<0.05). DISCUSSION Differences in meniscal lengths may result from difficulties in dissected meniscus measurements in tissue banks, and may be related to the elastic structure of the dissected meniscus. Errors may also be caused by the lack of highlighted landmarks on the meniscal surface in this study. CONCLUSION The XMT may be a good technique for assessing meniscal dimensions without actually touching the specimen.
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Affiliation(s)
- P Mickiewicz
- X-ray Microtomography Lab, Department of Biomedical Computer Systems, Institute of Computer Science, Faculty of Computer and Material Science, University of Silesia, 75 Pułku Piechoty 1, building H, segment C, P8, 41-500 Chorzów, Poland.
| | - M Binkowski
- X-ray Microtomography Lab, Department of Biomedical Computer Systems, Institute of Computer Science, Faculty of Computer and Material Science, University of Silesia, 75 Pułku Piechoty 1, building H, segment C, P8, 41-500 Chorzów, Poland
| | - H Bursig
- Regional Blood Center, Tissue Bank Katowice, Raciborska 15, 40-074 Katowice, Poland
| | - Z Wróbel
- X-ray Microtomography Lab, Department of Biomedical Computer Systems, Institute of Computer Science, Faculty of Computer and Material Science, University of Silesia, 75 Pułku Piechoty 1, building H, segment C, P8, 41-500 Chorzów, Poland
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