Modeling aerotaxis band formation in Azospirillum brasilense

Background Bacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various plant-microbe associations, including those that benefit plant growth and crop productivity. The motile soil bacterium Azospirillum brasilense colonizes...

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Published inBMC microbiology Vol. 19; no. 1; pp. 101 - 10
Main Authors Elmas, Mustafa, Alexiades, Vasilios, O’Neal, Lindsey, Alexandre, Gladys
Format Journal Article
LanguageEnglish
Published London BioMed Central 17.05.2019
BioMed Central Ltd
BMC
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ISSN1471-2180
1471-2180
DOI10.1186/s12866-019-1468-9

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Abstract Background Bacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various plant-microbe associations, including those that benefit plant growth and crop productivity. The motile soil bacterium Azospirillum brasilense colonizes the rhizosphere and promotes the growth of diverse plants across a range of environments. Aerotaxis, or the ability to navigate oxygen gradients, is a widespread behavior in bacteria. It is one of the strongest behavioral responses in A. brasilense and it is essential for successful colonization of the root surface. Oxygen is one of the limiting nutrients in the rhizosphere where density and activity of organisms are greatest. The aerotaxis response of A. brasilense is also characterized by high precision with motile cells able to detect narrow regions in a gradient where the oxygen concentration is low enough to support their microaerobic lifestyle and metabolism. Results Here, we present a mathematical model for aerotaxis band formation that captures most critical features of aerotaxis in A. brasilense . Remarkably, this model recapitulates experimental observations of the formation of a stable aerotactic band within 2 minutes of exposure to the air gradient that were not captured in previous modeling efforts. Using experimentally determined parameters, the mathematical model reproduced an aerotactic band at a distance from the meniscus and with a width that matched the experimental observation. Conclusions Including experimentally determined parameter values allowed us to validate a mathematical model for aerotactic band formation in spatial gradients that recapitulates the spatiotemporal stability of the band and its position in the gradient as well as its overall width. This validated model also allowed us to capture the range of oxygen concentrations the bacteria prefer during aerotaxis, and to estimate the effect of parameter values (e.g. oxygen consumption rate), both of which are difficult to obtain in experiments.
AbstractList Background Bacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various plant-microbe associations, including those that benefit plant growth and crop productivity. The motile soil bacterium Azospirillum brasilense colonizes the rhizosphere and promotes the growth of diverse plants across a range of environments. Aerotaxis, or the ability to navigate oxygen gradients, is a widespread behavior in bacteria. It is one of the strongest behavioral responses in A. brasilense and it is essential for successful colonization of the root surface. Oxygen is one of the limiting nutrients in the rhizosphere where density and activity of organisms are greatest. The aerotaxis response of A. brasilense is also characterized by high precision with motile cells able to detect narrow regions in a gradient where the oxygen concentration is low enough to support their microaerobic lifestyle and metabolism. Results Here, we present a mathematical model for aerotaxis band formation that captures most critical features of aerotaxis in A. brasilense . Remarkably, this model recapitulates experimental observations of the formation of a stable aerotactic band within 2 minutes of exposure to the air gradient that were not captured in previous modeling efforts. Using experimentally determined parameters, the mathematical model reproduced an aerotactic band at a distance from the meniscus and with a width that matched the experimental observation. Conclusions Including experimentally determined parameter values allowed us to validate a mathematical model for aerotactic band formation in spatial gradients that recapitulates the spatiotemporal stability of the band and its position in the gradient as well as its overall width. This validated model also allowed us to capture the range of oxygen concentrations the bacteria prefer during aerotaxis, and to estimate the effect of parameter values (e.g. oxygen consumption rate), both of which are difficult to obtain in experiments.
Bacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various plant-microbe associations, including those that benefit plant growth and crop productivity. The motile soil bacterium Azospirillum brasilense colonizes the rhizosphere and promotes the growth of diverse plants across a range of environments. Aerotaxis, or the ability to navigate oxygen gradients, is a widespread behavior in bacteria. It is one of the strongest behavioral responses in A. brasilense and it is essential for successful colonization of the root surface. Oxygen is one of the limiting nutrients in the rhizosphere where density and activity of organisms are greatest. The aerotaxis response of A. brasilense is also characterized by high precision with motile cells able to detect narrow regions in a gradient where the oxygen concentration is low enough to support their microaerobic lifestyle and metabolism. Here, we present a mathematical model for aerotaxis band formation that captures most critical features of aerotaxis in A. brasilense. Remarkably, this model recapitulates experimental observations of the formation of a stable aerotactic band within 2 minutes of exposure to the air gradient that were not captured in previous modeling efforts. Using experimentally determined parameters, the mathematical model reproduced an aerotactic band at a distance from the meniscus and with a width that matched the experimental observation. Including experimentally determined parameter values allowed us to validate a mathematical model for aerotactic band formation in spatial gradients that recapitulates the spatiotemporal stability of the band and its position in the gradient as well as its overall width. This validated model also allowed us to capture the range of oxygen concentrations the bacteria prefer during aerotaxis, and to estimate the effect of parameter values (e.g. oxygen consumption rate), both of which are difficult to obtain in experiments.
Abstract Background Bacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various plant-microbe associations, including those that benefit plant growth and crop productivity. The motile soil bacterium Azospirillum brasilense colonizes the rhizosphere and promotes the growth of diverse plants across a range of environments. Aerotaxis, or the ability to navigate oxygen gradients, is a widespread behavior in bacteria. It is one of the strongest behavioral responses in A. brasilense and it is essential for successful colonization of the root surface. Oxygen is one of the limiting nutrients in the rhizosphere where density and activity of organisms are greatest. The aerotaxis response of A. brasilense is also characterized by high precision with motile cells able to detect narrow regions in a gradient where the oxygen concentration is low enough to support their microaerobic lifestyle and metabolism. Results Here, we present a mathematical model for aerotaxis band formation that captures most critical features of aerotaxis in A. brasilense. Remarkably, this model recapitulates experimental observations of the formation of a stable aerotactic band within 2 minutes of exposure to the air gradient that were not captured in previous modeling efforts. Using experimentally determined parameters, the mathematical model reproduced an aerotactic band at a distance from the meniscus and with a width that matched the experimental observation. Conclusions Including experimentally determined parameter values allowed us to validate a mathematical model for aerotactic band formation in spatial gradients that recapitulates the spatiotemporal stability of the band and its position in the gradient as well as its overall width. This validated model also allowed us to capture the range of oxygen concentrations the bacteria prefer during aerotaxis, and to estimate the effect of parameter values (e.g. oxygen consumption rate), both of which are difficult to obtain in experiments.
Bacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various plant-microbe associations, including those that benefit plant growth and crop productivity. The motile soil bacterium Azospirillum brasilense colonizes the rhizosphere and promotes the growth of diverse plants across a range of environments. Aerotaxis, or the ability to navigate oxygen gradients, is a widespread behavior in bacteria. It is one of the strongest behavioral responses in A. brasilense and it is essential for successful colonization of the root surface. Oxygen is one of the limiting nutrients in the rhizosphere where density and activity of organisms are greatest. The aerotaxis response of A. brasilense is also characterized by high precision with motile cells able to detect narrow regions in a gradient where the oxygen concentration is low enough to support their microaerobic lifestyle and metabolism. Here, we present a mathematical model for aerotaxis band formation that captures most critical features of aerotaxis in A. brasilense. Remarkably, this model recapitulates experimental observations of the formation of a stable aerotactic band within 2 minutes of exposure to the air gradient that were not captured in previous modeling efforts. Using experimentally determined parameters, the mathematical model reproduced an aerotactic band at a distance from the meniscus and with a width that matched the experimental observation. Including experimentally determined parameter values allowed us to validate a mathematical model for aerotactic band formation in spatial gradients that recapitulates the spatiotemporal stability of the band and its position in the gradient as well as its overall width. This validated model also allowed us to capture the range of oxygen concentrations the bacteria prefer during aerotaxis, and to estimate the effect of parameter values (e.g. oxygen consumption rate), both of which are difficult to obtain in experiments.
Background Bacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various plant-microbe associations, including those that benefit plant growth and crop productivity. The motile soil bacterium Azospirillum brasilense colonizes the rhizosphere and promotes the growth of diverse plants across a range of environments. Aerotaxis, or the ability to navigate oxygen gradients, is a widespread behavior in bacteria. It is one of the strongest behavioral responses in A. brasilense and it is essential for successful colonization of the root surface. Oxygen is one of the limiting nutrients in the rhizosphere where density and activity of organisms are greatest. The aerotaxis response of A. brasilense is also characterized by high precision with motile cells able to detect narrow regions in a gradient where the oxygen concentration is low enough to support their microaerobic lifestyle and metabolism. Results Here, we present a mathematical model for aerotaxis band formation that captures most critical features of aerotaxis in A. brasilense. Remarkably, this model recapitulates experimental observations of the formation of a stable aerotactic band within 2 minutes of exposure to the air gradient that were not captured in previous modeling efforts. Using experimentally determined parameters, the mathematical model reproduced an aerotactic band at a distance from the meniscus and with a width that matched the experimental observation. Conclusions Including experimentally determined parameter values allowed us to validate a mathematical model for aerotactic band formation in spatial gradients that recapitulates the spatiotemporal stability of the band and its position in the gradient as well as its overall width. This validated model also allowed us to capture the range of oxygen concentrations the bacteria prefer during aerotaxis, and to estimate the effect of parameter values (e.g. oxygen consumption rate), both of which are difficult to obtain in experiments.
Background Bacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various plant-microbe associations, including those that benefit plant growth and crop productivity. The motile soil bacterium Azospirillum brasilense colonizes the rhizosphere and promotes the growth of diverse plants across a range of environments. Aerotaxis, or the ability to navigate oxygen gradients, is a widespread behavior in bacteria. It is one of the strongest behavioral responses in A. brasilense and it is essential for successful colonization of the root surface. Oxygen is one of the limiting nutrients in the rhizosphere where density and activity of organisms are greatest. The aerotaxis response of A. brasilense is also characterized by high precision with motile cells able to detect narrow regions in a gradient where the oxygen concentration is low enough to support their microaerobic lifestyle and metabolism. Results Here, we present a mathematical model for aerotaxis band formation that captures most critical features of aerotaxis in A. brasilense. Remarkably, this model recapitulates experimental observations of the formation of a stable aerotactic band within 2 minutes of exposure to the air gradient that were not captured in previous modeling efforts. Using experimentally determined parameters, the mathematical model reproduced an aerotactic band at a distance from the meniscus and with a width that matched the experimental observation. Conclusions Including experimentally determined parameter values allowed us to validate a mathematical model for aerotactic band formation in spatial gradients that recapitulates the spatiotemporal stability of the band and its position in the gradient as well as its overall width. This validated model also allowed us to capture the range of oxygen concentrations the bacteria prefer during aerotaxis, and to estimate the effect of parameter values (e.g. oxygen consumption rate), both of which are difficult to obtain in experiments. Keywords: Chemotaxis, Aerotaxis, Band formation, Azospirillum brasilense, Mathematical modeling
Bacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various plant-microbe associations, including those that benefit plant growth and crop productivity. The motile soil bacterium Azospirillum brasilense colonizes the rhizosphere and promotes the growth of diverse plants across a range of environments. Aerotaxis, or the ability to navigate oxygen gradients, is a widespread behavior in bacteria. It is one of the strongest behavioral responses in A. brasilense and it is essential for successful colonization of the root surface. Oxygen is one of the limiting nutrients in the rhizosphere where density and activity of organisms are greatest. The aerotaxis response of A. brasilense is also characterized by high precision with motile cells able to detect narrow regions in a gradient where the oxygen concentration is low enough to support their microaerobic lifestyle and metabolism.BACKGROUNDBacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various plant-microbe associations, including those that benefit plant growth and crop productivity. The motile soil bacterium Azospirillum brasilense colonizes the rhizosphere and promotes the growth of diverse plants across a range of environments. Aerotaxis, or the ability to navigate oxygen gradients, is a widespread behavior in bacteria. It is one of the strongest behavioral responses in A. brasilense and it is essential for successful colonization of the root surface. Oxygen is one of the limiting nutrients in the rhizosphere where density and activity of organisms are greatest. The aerotaxis response of A. brasilense is also characterized by high precision with motile cells able to detect narrow regions in a gradient where the oxygen concentration is low enough to support their microaerobic lifestyle and metabolism.Here, we present a mathematical model for aerotaxis band formation that captures most critical features of aerotaxis in A. brasilense. Remarkably, this model recapitulates experimental observations of the formation of a stable aerotactic band within 2 minutes of exposure to the air gradient that were not captured in previous modeling efforts. Using experimentally determined parameters, the mathematical model reproduced an aerotactic band at a distance from the meniscus and with a width that matched the experimental observation.RESULTSHere, we present a mathematical model for aerotaxis band formation that captures most critical features of aerotaxis in A. brasilense. Remarkably, this model recapitulates experimental observations of the formation of a stable aerotactic band within 2 minutes of exposure to the air gradient that were not captured in previous modeling efforts. Using experimentally determined parameters, the mathematical model reproduced an aerotactic band at a distance from the meniscus and with a width that matched the experimental observation.Including experimentally determined parameter values allowed us to validate a mathematical model for aerotactic band formation in spatial gradients that recapitulates the spatiotemporal stability of the band and its position in the gradient as well as its overall width. This validated model also allowed us to capture the range of oxygen concentrations the bacteria prefer during aerotaxis, and to estimate the effect of parameter values (e.g. oxygen consumption rate), both of which are difficult to obtain in experiments.CONCLUSIONSIncluding experimentally determined parameter values allowed us to validate a mathematical model for aerotactic band formation in spatial gradients that recapitulates the spatiotemporal stability of the band and its position in the gradient as well as its overall width. This validated model also allowed us to capture the range of oxygen concentrations the bacteria prefer during aerotaxis, and to estimate the effect of parameter values (e.g. oxygen consumption rate), both of which are difficult to obtain in experiments.
ArticleNumber 101
Audience Academic
Author Alexiades, Vasilios
O’Neal, Lindsey
Alexandre, Gladys
Elmas, Mustafa
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  surname: Alexandre
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  organization: Biochemistry and Cellular & Molecular Biology, University of Tennessee
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CitedBy_id crossref_primary_10_1073_pnas_2111142118
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Cites_doi 10.1088/0951-7715/26/1/81
10.1007/BF01661982
10.1128/JB.00020-17
10.1128/AEM.53.2.410-415.1987
10.1103/PhysRevE.85.051901
10.1016/j.mib.2018.02.002
10.1038/35000570
10.1007/s11103-016-0432-4
10.1099/mic.0.039214-0
10.1111/j.1574-695X.2005.00024.x
10.1371/journal.pone.0074878
10.1128/jb.178.17.5199-5204.1996
10.1128/JB.182.21.6042-6048.2000
10.1007/BF01628169
10.1073/pnas.0910055107
10.1142/S021820251100543X
10.1111/j.1365-2672.1983.tb02634.x
10.1137/0132054
10.1371/journal.pone.0045258
10.1007/BF02476407
10.1002/cpmc.39
10.1139/m78-160
10.1016/S0006-3495(03)74775-4
10.1109/CDC.2016.7798360
10.1063/1.4891570
10.1016/S0006-3495(03)70021-6
10.7554/eLife.03526
10.1128/JB.00734-08
10.1128/jb.179.12.4075-4079.1997
10.1146/annurev.micro.53.1.103
10.1073/pnas.94.20.10541
10.1371/journal.pone.0059671
10.1016/0022-5193(71)90050-6
10.1016/S0022-5193(76)80004-5
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Issue 1
Keywords Azospirillum brasilense
Band formation
Mathematical modeling
Aerotaxis
Chemotaxis
Language English
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References 1468_CR29
1468_CR7
1468_CR8
1468_CR1
M Beijerinck (1468_CR6) 1893; 14
1468_CR2
1468_CR3
J Tarrand (1468_CR20) 1978; 24
M Elmas (1468_CR25) 2017; 25
1468_CR9
D Horstmann (1468_CR34) 2003; 105
1468_CR22
1468_CR23
1468_CR24
1468_CR27
1468_CR28
1468_CR18
1468_CR19
T Engelmann (1468_CR4) 1881; 25
M Vanstockem (1468_CR21) 1987; 53
D Horstmann (1468_CR35) 2004; 106
1468_CR30
E Keller (1468_CR26) 1971; 30
1468_CR31
1468_CR10
1468_CR32
1468_CR11
1468_CR33
1468_CR12
T Engelmann (1468_CR5) 1881; 26
1468_CR13
1468_CR14
1468_CR36
1468_CR15
1468_CR37
1468_CR16
1468_CR38
1468_CR17
References_xml – ident: 1468_CR33
  doi: 10.1088/0951-7715/26/1/81
– volume: 25
  start-page: 285
  year: 1881
  ident: 1468_CR4
  publication-title: Pflugers Arch Gesammte Physiol Menschen Tiere
  doi: 10.1007/BF01661982
– ident: 1468_CR13
  doi: 10.1128/JB.00020-17
– volume: 53
  start-page: 410
  issue: 2
  year: 1987
  ident: 1468_CR21
  publication-title: Appl Environ Microbiol
  doi: 10.1128/AEM.53.2.410-415.1987
– ident: 1468_CR28
  doi: 10.1103/PhysRevE.85.051901
– ident: 1468_CR1
  doi: 10.1016/j.mib.2018.02.002
– ident: 1468_CR7
  doi: 10.1038/35000570
– ident: 1468_CR3
  doi: 10.1007/s11103-016-0432-4
– ident: 1468_CR38
  doi: 10.1099/mic.0.039214-0
– ident: 1468_CR17
  doi: 10.1111/j.1574-695X.2005.00024.x
– ident: 1468_CR29
  doi: 10.1371/journal.pone.0074878
– ident: 1468_CR10
  doi: 10.1128/jb.178.17.5199-5204.1996
– volume: 106
  start-page: 51
  year: 2004
  ident: 1468_CR35
  publication-title: Jahresbericht der DMV
– ident: 1468_CR11
  doi: 10.1128/JB.182.21.6042-6048.2000
– volume: 26
  start-page: 537
  year: 1881
  ident: 1468_CR5
  publication-title: Pflugers Arch Gesammte Physiol Menschen Tiere
  doi: 10.1007/BF01628169
– ident: 1468_CR12
  doi: 10.1073/pnas.0910055107
– ident: 1468_CR27
  doi: 10.1142/S021820251100543X
– ident: 1468_CR18
  doi: 10.1111/j.1365-2672.1983.tb02634.x
– ident: 1468_CR37
  doi: 10.1137/0132054
– ident: 1468_CR31
  doi: 10.1371/journal.pone.0045258
– ident: 1468_CR32
  doi: 10.1007/BF02476407
– ident: 1468_CR22
  doi: 10.1002/cpmc.39
– volume: 24
  start-page: 967
  year: 1978
  ident: 1468_CR20
  publication-title: Can J Microbiol
  doi: 10.1139/m78-160
– ident: 1468_CR15
  doi: 10.1016/S0006-3495(03)74775-4
– ident: 1468_CR16
  doi: 10.1109/CDC.2016.7798360
– ident: 1468_CR19
  doi: 10.1063/1.4891570
– ident: 1468_CR23
  doi: 10.1016/S0006-3495(03)70021-6
– ident: 1468_CR24
  doi: 10.7554/eLife.03526
– volume: 14
  start-page: 827
  year: 1893
  ident: 1468_CR6
  publication-title: Zentrabl Bakteriol Parasitenkd
– volume: 105
  start-page: 103
  year: 2003
  ident: 1468_CR34
  publication-title: Jahresbericht der DMV
– ident: 1468_CR14
  doi: 10.1128/JB.00734-08
– ident: 1468_CR8
  doi: 10.1128/jb.179.12.4075-4079.1997
– ident: 1468_CR2
  doi: 10.1146/annurev.micro.53.1.103
– ident: 1468_CR9
  doi: 10.1073/pnas.94.20.10541
– volume: 25
  start-page: 345
  year: 2017
  ident: 1468_CR25
  publication-title: Neural, Parallel, Sci Comput
– ident: 1468_CR30
  doi: 10.1371/journal.pone.0059671
– volume: 30
  start-page: 225
  year: 1971
  ident: 1468_CR26
  publication-title: J Theor Biol
  doi: 10.1016/0022-5193(71)90050-6
– ident: 1468_CR36
  doi: 10.1016/S0022-5193(76)80004-5
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Snippet Background Bacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various...
Bacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various plant-microbe...
Background Bacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various...
Abstract Background Bacterial chemotaxis, the ability of motile bacteria to navigate gradients of chemicals, plays key roles in the establishment of various...
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StartPage 101
SubjectTerms Aerotaxis
Azospirillum brasilense
Azospirillum brasilense - growth & development
Azospirillum brasilense - metabolism
Bacteria
Band formation
Biological Microscopy
Biomedical and Life Sciences
Cells (Biology)
Chemotaxis
Colonization
Concentration gradient
Crop production
E coli
Energy
Life Sciences
Limiting nutrients
Mathematical modeling
Mathematical models
Metabolism
Microbial biochemistry
Microbiology
Models, Theoretical
Motility
Mycology
Nutrients
Organic chemistry
Organisms
Oxygen
Oxygen - metabolism
Oxygen consumption
Parameter estimation
Parasitology
physiology and metabolism
Plant growth
Production management
Proteobacteria
Research Article
Rhizosphere
Soil bacteria
Soil microbiology
Soil microorganisms
Virology
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Title Modeling aerotaxis band formation in Azospirillum brasilense
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