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...
Saved in:
Published in | BMC microbiology Vol. 19; no. 1; pp. 101 - 10 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
London
BioMed Central
17.05.2019
BioMed Central Ltd BMC |
Subjects | |
Online Access | Get full text |
ISSN | 1471-2180 1471-2180 |
DOI | 10.1186/s12866-019-1468-9 |
Cover
Loading…
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 |
Author_xml | – sequence: 1 givenname: Mustafa surname: Elmas fullname: Elmas, Mustafa organization: Mathematics, University of Tennessee – sequence: 2 givenname: Vasilios surname: Alexiades fullname: Alexiades, Vasilios organization: Mathematics, University of Tennessee – sequence: 3 givenname: Lindsey surname: O’Neal fullname: O’Neal, Lindsey organization: Biochemistry and Cellular & Molecular Biology, University of Tennessee – sequence: 4 givenname: Gladys orcidid: 0000-0002-9238-4640 surname: Alexandre fullname: Alexandre, Gladys email: galexan2@utk.edu organization: Biochemistry and Cellular & Molecular Biology, University of Tennessee |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31101077$$D View this record in MEDLINE/PubMed |
BookMark | eNp9kluL1DAYhousuAf9Ad5IwRv3omu-pElakIVhWXVgRfBwHXJqzdAmY9LK6q83M7Pr7iwqvWhpnvdJ8_U9Lg588LYongM6A2jY6wS4YaxC0FZQs6ZqHxVHUHOoMDTo4N7zYXGc0goh4A3hT4pDAoAAcX5UvPkQjB2c70tpY5jktUulkt6UXYijnFzwpfPl4ldIaxfdMMxjqaJMbrA-2afF404OyT67uZ8UX99efrl4X119fLe8WFxVmhE-VbjmiNUKoGvb2nQ1M7jGGhjRLWGKWNTRDmOlLFhmEO8MaW1jKdO14RxrSk6K5c5rglyJdXSjjD9FkE5sX4TYCxknpwcrcEMVJUraDnKcgOSUK0NbhVpDNa2z63znWs9qtEZbP0U57En3V7z7JvrwQzCKc5xkwasbQQzfZ5smMbqk7TBIb8OcBMYEo7rBgDL68gG6CnP0eVSZwhwh1lK4o3qZD-B8F_K-eiMVC9owCphvXWd_ofJl7Oh07kWX_8l-4HQvkJnJXk-9nFMSy8-f9tkX94fyZxq3PckA3wE6hpSi7YR207Ye-SvcIACJTSPFrpEiN1JsGinanIQHyVv5_zJ4l0mZ9b2Nd3P7d-g3TmvvTg |
CitedBy_id | crossref_primary_10_1073_pnas_2111142118 crossref_primary_10_1098_rsif_2020_0559 crossref_primary_10_1016_j_resmic_2021_103875 crossref_primary_10_3390_plants12132476 crossref_primary_10_1134_S0026261721010100 crossref_primary_10_1103_PhysRevE_109_024405 |
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 |
ContentType | Journal Article |
Copyright | The Author(s) 2019 COPYRIGHT 2019 BioMed Central Ltd. 2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
Copyright_xml | – notice: The Author(s) 2019 – notice: COPYRIGHT 2019 BioMed Central Ltd. – notice: 2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM ISR 3V. 7QL 7T7 7U9 7X7 7XB 88E 8FD 8FE 8FH 8FI 8FJ 8FK ABUWG AEUYN AFKRA AZQEC BBNVY BENPR BHPHI C1K CCPQU DWQXO FR3 FYUFA GHDGH GNUQQ H94 HCIFZ K9. LK8 M0S M1P M7N M7P P64 PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS 7X8 5PM DOA |
DOI | 10.1186/s12866-019-1468-9 |
DatabaseName | Springer Nature OA Free Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Science ProQuest Central (Corporate) Bacteriology Abstracts (Microbiology B) Industrial and Applied Microbiology Abstracts (Microbiology A) Virology and AIDS Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Technology Research Database ProQuest SciTech Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection Environmental Sciences and Pollution Management ProQuest One ProQuest Central Korea Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student AIDS and Cancer Research Abstracts SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Biological Sciences Health & Medical Collection (Alumni) Medical Database Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Database Biotechnology and BioEngineering Abstracts ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest Central Student Technology Research Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) Health & Medical Research Collection Biological Science Collection AIDS and Cancer Research Abstracts Industrial and Applied Microbiology Abstracts (Microbiology A) ProQuest Central (New) ProQuest Medical Library (Alumni) Virology and AIDS Abstracts ProQuest Biological Science Collection ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition Engineering Research Database ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
DatabaseTitleList | MEDLINE Publicly Available Content Database MEDLINE - Academic |
Database_xml | – sequence: 1 dbid: C6C name: Springer Nature OA Free Journals url: http://www.springeropen.com/ sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 4 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 5 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Biology |
EISSN | 1471-2180 |
EndPage | 10 |
ExternalDocumentID | oai_doaj_org_article_285b53baef1c4d31a757bd59b09d5c54 PMC6525433 A586512710 31101077 10_1186_s12866_019_1468_9 |
Genre | Research Support, U.S. Gov't, Non-P.H.S Journal Article Research Support, N.I.H., Extramural |
GrantInformation_xml | – fundername: Directorate for Biological Sciences grantid: MCB 1330344 funderid: http://dx.doi.org/10.13039/100000076 – fundername: NIGMS NIH HHS grantid: R25 GM086761 – fundername: ; grantid: MCB 1330344 |
GroupedDBID | --- 0R~ 23N 2WC 53G 5VS 6J9 7X7 88E 8FE 8FH 8FI 8FJ A8Z AAFWJ AAJSJ AASML ABDBF ABUWG ACGFO ACGFS ACIHN ACPRK ACUHS ADBBV ADRAZ ADUKV AEAQA AENEX AEUYN AFKRA AFPKN AFRAH AHBYD AHMBA AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS BAPOH BAWUL BBNVY BCNDV BENPR BFQNJ BHPHI BMC BPHCQ BVXVI C6C CCPQU CS3 DIK DU5 E3Z EAD EAP EAS EBD EBLON EBS EJD EMB EMK EMOBN ESTFP ESX F5P FYUFA GROUPED_DOAJ GX1 HCIFZ HMCUK HYE IAO IGS IHR INH INR ISR ITC KQ8 LK5 LK8 M1P M48 M7P M7R MM. M~E O5R O5S OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PJZUB PPXIY PQGLB PQQKQ PROAC PSQYO PUEGO RBZ RNS ROL RPM RSV SBL SOJ SV3 TR2 TUS UKHRP W2D WOQ WOW XSB ~02 AAYXX ALIPV CITATION -A0 3V. ACRMQ ADINQ AGJBV C24 CGR CUY CVF ECM EIF NPM PMFND 7QL 7T7 7U9 7XB 8FD 8FK AZQEC C1K DWQXO FR3 GNUQQ H94 K9. M7N P64 PKEHL PQEST PQUKI PRINS 7X8 5PM |
ID | FETCH-LOGICAL-c637t-247064b11f994df46d242c163c936b3e0f5f22bbe1e6d07fd39e8e56c4d772c53 |
IEDL.DBID | M48 |
ISSN | 1471-2180 |
IngestDate | Wed Aug 27 01:07:08 EDT 2025 Thu Aug 21 14:11:49 EDT 2025 Fri Sep 05 09:54:34 EDT 2025 Fri Jul 25 10:52:15 EDT 2025 Tue Jun 17 21:06:06 EDT 2025 Tue Jun 10 20:29:13 EDT 2025 Fri Jun 27 04:59:05 EDT 2025 Wed Feb 19 02:30:33 EST 2025 Tue Jul 01 04:31:30 EDT 2025 Thu Apr 24 22:54:07 EDT 2025 Sat Sep 06 07:28:46 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Keywords | Azospirillum brasilense Band formation Mathematical modeling Aerotaxis Chemotaxis |
Language | English |
License | Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c637t-247064b11f994df46d242c163c936b3e0f5f22bbe1e6d07fd39e8e56c4d772c53 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ORCID | 0000-0002-9238-4640 |
OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1186/s12866-019-1468-9 |
PMID | 31101077 |
PQID | 2227006951 |
PQPubID | 42585 |
PageCount | 10 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_285b53baef1c4d31a757bd59b09d5c54 pubmedcentral_primary_oai_pubmedcentral_nih_gov_6525433 proquest_miscellaneous_2232048210 proquest_journals_2227006951 gale_infotracmisc_A586512710 gale_infotracacademiconefile_A586512710 gale_incontextgauss_ISR_A586512710 pubmed_primary_31101077 crossref_citationtrail_10_1186_s12866_019_1468_9 crossref_primary_10_1186_s12866_019_1468_9 springer_journals_10_1186_s12866_019_1468_9 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2019-05-17 |
PublicationDateYYYYMMDD | 2019-05-17 |
PublicationDate_xml | – month: 05 year: 2019 text: 2019-05-17 day: 17 |
PublicationDecade | 2010 |
PublicationPlace | London |
PublicationPlace_xml | – name: London – name: England |
PublicationTitle | BMC microbiology |
PublicationTitleAbbrev | BMC Microbiol |
PublicationTitleAlternate | BMC Microbiol |
PublicationYear | 2019 |
Publisher | BioMed Central BioMed Central Ltd BMC |
Publisher_xml | – name: BioMed Central – name: BioMed Central Ltd – name: BMC |
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 |
SSID | ssj0017837 |
Score | 2.296133 |
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... |
SourceID | doaj pubmedcentral proquest gale pubmed crossref springer |
SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
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 |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Li9RAEC5kQfAirs_oKlEEQQmbpB9Jg5dRXFZBD-rC3pp-ugPSI5MZWP31ViWZuFlRL16nq4fkS1VXFV31FcDToEphmAxF6ZQvuENLN5ZTjZjyytbRM0uNwu8_yOMT_u5UnF4Y9UU1YQM98ADcYd0KK5g1IVaOe1aZRjTWC2VL5YUTPRMo-rxdMjXeHzSYd413mFUrDzs8hSVlzqroW43UzAv1ZP2_H8kXfNLleslLl6a9Lzq6AdfHIDJfDA-_D1dCuglXh7GS32_BSxpwRm3muQnr1cacL7vcmuTzqVMxX6Z88YNGhqyXNOo4x5y5w_MhdeE2nBy9-fz6uBinJBROsmZT1LzBsMJWVVSK-8ilR6_rMMxyiknLQhlFrGtrQxWkLxtEX4U2CIloYmTtBLsDe2mVwj3IcZ-KwjETPOeRs7ZVlWMtceRhzl2JDModatqNFOI0yeKr7lOJVuoBaI1AU07RapXB82nLt4E_42_Cr-hTTIJEfd3_gAqhR4XQ_1KIDJ7Qh9REbpGoeuaL2Xadfvvpo16IVmKAg0FVBs9GobjCN3BmbEZAHIgPayZ5MJNE63Pz5Z2-6NH6O039xUQBLaoMHk_LtJMq2lJYbUmGEWdyTX9xd1Cv6b0ZxmSYljcZNDPFmwEzX0nLs54bXApiN2AZvNip6K_H-iPu9_8H7g_gWk0GRsy2zQHsbdbb8BADto191NvmTyBFOgQ priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3ra9RAEB_0iuAX8W1qlSiCoIQm2UeyIMhVWqpgkWqh35bsI_VAkvZyB-pf70yyl5qK_ZqdDdmZ2dmZ7MxvAF55lYqKSZ-kVrmEW9zpleGUI6acMnntmKFC4c9H8vCEfzoVp-GHWxfSKjc2sTfUrrX0j3yXajYJVldk788vEuoaRberoYXGTdhCE1yKGWzt7R99OR7vEQqMv8JdZlbK3Q6JJEXQKulLjtTkNOpB-_81zX-dTVfzJq9cnvZn0sFduBOcyXg-SP8e3PDNfbg1tJf89QDeUaMzKjePK79sV9XPRRebqnHxWLEYL5p4_ptahywX1PI4xti5QzvRdP4hnBzsf_twmIRuCYmVrFglOS_QvTBZVivFXc2lw9PXortlFZOG-bQWdZ4b4zMvXVqgFJQvvZCWO_SwrWCPYNa0jX8CMc5TtbCs8o7zmrOyVJllJWHlYeydiQjSDde0DVDi1NHih-5DilLqgdEaGU2xRalVBG_GKecDjsZ1xHskipGQILD7B-3yTIcdpVHcRjBT-TrDJbCsKkRhnFAmVU5YwSN4SYLUBHLRUBbNWbXuOv3x67Gei1Kio4POVQSvA1Hd4gpsFYoSkA-EizWh3JlQ4i600-GNvuhgBTp9qbMRvBiHaSZltjW-XRMNI-zknF7xeFCvcd0MfTMMz4sIioniTRgzHWkW33uMcCkI5YBF8Hajopef9V--b1-_iKdwO6etQ9i1xQ7MVsu1f4Yu2co8D_vuD6_TMmU priority: 102 providerName: ProQuest – databaseName: Springer Nature OA Free Journals dbid: C6C link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3di9RADA96Ivgifls9pYogKMW28w2-rIfHKeiDenBvw3z1XJCubHdB_etN2m69nh_g605SdjLJTEKSXwCeJFMKx2QqymBiwQNauvOcasRMNL5uIvPUKPzuvTw65m9PxMkIFk29MGfz95WWLzq8PyXFvKbom4TMRbgkCGaM8rLyYEoYKAy0xqTlH9lmz06Pzv_7HXzmETpfIHkuS9o_PofX4OroNeaL4Zivw4XU3oDLwxzJ7zfhJU00o77y3KX1auO-LbvcuzbmU2tivmzzxQ-aEbJe0mzjHIPkDi-Etku34Pjw9aeDo2Ici1AEydSmqLlCP8JXVWMMjw2XEZ_ZgH5VMEx6lspGNHXtfaqSjKVCcZukk5CBR3Slg2C3Ya9dteku5MhnGhGYS5HzhjOtTRWYJlA8DLIrkUG5k5oNI2Y4ja74YvvYQUs7CNqioCmI0NZk8Gxi-ToAZvyL-BUdxURIWNf9D6gCdjQdW2vhBfMuNRVugVVOCeWjML40UQTBM3hMB2kJzaKlcplTt-06--bjB7sQWqJHg15UBk9HomaFOwhu7D5AORAA1oxyf0aJ5hbmyzt9saO5d5YaignzWVQZPJqWiZNK2Nq02hINI5Dkmj5xZ1Cvad8MnTCMw1UGaqZ4M8HMV9rl5x4MXAqCM2AZPN-p6K-_9Ve53_sv6vtwpSZLIsxatQ97m_U2PUBXbOMf9kb4EydbKa0 priority: 102 providerName: Springer Nature |
Title | Modeling aerotaxis band formation in Azospirillum brasilense |
URI | https://link.springer.com/article/10.1186/s12866-019-1468-9 https://www.ncbi.nlm.nih.gov/pubmed/31101077 https://www.proquest.com/docview/2227006951 https://www.proquest.com/docview/2232048210 https://pubmed.ncbi.nlm.nih.gov/PMC6525433 https://doaj.org/article/285b53baef1c4d31a757bd59b09d5c54 |
Volume | 19 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3da9RAEB_6gdIX8dtoPaIIgpKaZD-SBUXujpYqtMjpweHLkt1s6kHJtZc7aP3rncklV1OrD74c5HY2yc7O7Mxkd34D8MqpUGRMuiC0Kg-4RU3PDKczYipXJi5yZihR-OhYHo7554mYbEBb3qphYHVjaEf1pMbz072L88uPqPAfaoVP5bsK11hJcbEK6kQitQnbaJgkCfkRv9pUSDAYazY2b-y2A7cZWkMMiJKOlarB_P9csn-zWdfPU17bVK1t1cFduNM4mX5_JRX3YMOV9-HWquzk5QN4TwXQKA3dz9x8tsguppVvsjL315mM_rT0-z-ppMh8SqWQfYypK1w_yso9hPHB_rfhYdBUUQisZMkiiHmCboeJokIpnhdc5miVLbphVjFpmAsLUcSxMS5yMg8TnB3lUiek5Tl63lawR7BVzkr3BHzspwphWeZyzgvO0lRFlqWEoYcxeSQ8CFuuadtAjFOli1Ndhxqp1Cuea-Q5xRypVh68WXc5W-Fr_It4QFOxJiRo7PqP2fxEN5qm41QYwUzmigiHwKIsEYnJhTKhyoUV3IOXNJGawC9KOl1zki2rSn_6OtJ9kUp0gNDp8uB1Q1TMcAQ2a5IVkA-El9Wh3O1QonbabnMrL7oVbk35xwQRLSIPXqybqSedeCvdbEk0jDCVY7rF45V4rcfdSqkHSUfwOozptpTTHzV2uBSEfsA8eNuK6NVr_ZXvT__7Oc9gJyYFI7jbZBe2FvOle45e3ML0YDOZJD3YHuwffxnh1VAOe_UXkV6ttfg7Gnz_BWZ6RsY |
linkProvider | Scholars Portal |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1ba9RAFB5Ki-iLeDdaNYoiKKFJ5pIMKLLVll3bLlJb6NuYuaQuSFI3u2j9Uf5Gz8mtpmLf-po5EzJnzjUz5zuEPHcy5BkVLgiNtAEzoOmZZnhHTFqp49xSjYXCe1MxPmQfj_jRCvnd1cLgtcrOJtaG2pYG_5FvYM0mwury6N3J9wC7RuHpatdCoxGLHXf6A1K26u3kA-zvizje3jp4Pw7argKBETRZBDFLwA3rKMqlZDZnwoKXMhCWGEmFpi7MeR7HWrvICRsm8LXSpY4LwyxEoga7RIDJX4MwQ4IWrW1uTT_t9-cWCeR77dlplIqNCqy_wIxdBnWJkxx4v7pJwL-u4C9feP6e5rnD2toHbt8g19vg1R810naTrLjiFrnStLM8vU3eYGM1LG_3MzcvF9nPWeXrrLB-XyHpzwp_9Atblcxn2GLZh1y9ArtUVO4OObwUPt4lq0VZuPvEh3ky54ZmzjKWM5qmMjI0RWw-yPUj7pGw45oyLXQ5dtD4puoUJhWqYbQCRmMukyrpkVf9lJMGt-Mi4k3cip4QIbfrB-X8WLUarOKUa0515vIIlkCjLOGJtlzqUFpuOPPIM9xIhaAaBd7aOc6WVaUmn_fViKcCAisI5jzysiXKS1iBydoiCOAD4nANKNcHlKD1ZjjcyYtqrU6lznTEI0_7YZyJN-kKVy6RhiJWc4yvuNeIV79uCrFgFCaJR5KB4A0YMxwpZl9rTHLBEVWBeuR1J6Jnn_Vfvj-4eBFPyNXxwd6u2p1Mdx6SazGqEeLmJutkdTFfukcQDi7041YHffLlstX-D9_EbtQ |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3ra9RAEB_0iuKX4rOmVo0iCEpokn0kC345H0d7ahFrod-W7CP1QHLlkgP1r3cmyUVTH-DX29lwO7uz-xtm5jcAT7yKRcGkj2KrXMQtWnphOOWIKadMWjpmqFD4_ZE8OOHzU3Ha9zmtN9num5BkV9NALE1Vs3_uys7Ec7lf460qyRNWUVs6pC7DVi4RPUxgazqdH8-HQEKGDlgfzPzjxNFz1LL2_343__I4XUycvBA9bR-l2XXY7tFkOO22_wZc8tVNuNL1l_x2C15QpzOqNw8Lv1o2xddFHZqicuFQshguqnD6nXqHrBbU8zhE57nGi6Kq_W04mb359Oog6tslRFayrIlSniG-MElSKsVdyaXD59ci3rKKScN8XIoyTY3xiZcuznAblM-9kJY7hNhWsDswqZaVvwshzlOlsKzwjvOSszxXiWU5keWh852IAOKN1rTtucSppcUX3foUudSdojUqmpyLXKsAng1TzjsijX8Jv6StGASJA7v9Ybk6071J6TQXRjBT-DLBJbCkyERmnFAmVk5YwQN4TBupieWiojSas2Jd1_rw-KOeilwi0kF0FcDTXqhc4gps0VcloB6IGGskuTeSRDO04-HNedH9NVBrKjQmLmiRBPBoGKaZlNpW-eWaZBiRJ6f0iZ3ueA3rZgjO0D_PAshGB2-kmPFItfjckoRLQTQHLIDnmyP682_9Ve-7_yX9EK5-eD3T7w6P3t6DaykZFdHaZnswaVZrfx_RWmMe9Bb5A3a6Nkg |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Modeling+aerotaxis+band+formation+in+Azospirillum+brasilense&rft.jtitle=BMC+microbiology&rft.au=Elmas%2C+Mustafa&rft.au=Alexiades%2C+Vasilios&rft.au=O%E2%80%99Neal%2C+Lindsey&rft.au=Alexandre%2C+Gladys&rft.date=2019-05-17&rft.pub=BioMed+Central&rft.eissn=1471-2180&rft.volume=19&rft_id=info:doi/10.1186%2Fs12866-019-1468-9&rft_id=info%3Apmid%2F31101077&rft.externalDocID=PMC6525433 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-2180&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-2180&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-2180&client=summon |