Journal article 436 views 91 downloads
Divergent abiotic spectral pathways unravel pathogen stress signals across species
Nature Communications, Volume: 12, Issue: 1, Start page: 6088
Swansea University Authors: Alberto Hornero, Rocio Hernandez-Clemente
-
PDF | Version of Record
© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License
Download (1.99MB)
DOI (Published version): 10.1038/s41467-021-26335-3
Abstract
Abstract: Plant pathogens pose increasing threats to global food security, causing yield losses that exceed 30% in food-deficit regions. Xylella fastidiosa (Xf) represents the major transboundary plant pest and one of the world’s most damaging pathogens in terms of socioeconomic impact. Spectral scr...
Published in: | Nature Communications |
---|---|
ISSN: | 2041-1723 |
Published: |
Springer Science and Business Media LLC
2021
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa58435 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
first_indexed |
2021-10-20T12:29:13Z |
---|---|
last_indexed |
2021-11-18T04:28:00Z |
id |
cronfa58435 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2021-11-17T16:35:27.6892253</datestamp><bib-version>v2</bib-version><id>58435</id><entry>2021-10-20</entry><title>Divergent abiotic spectral pathways unravel pathogen stress signals across species</title><swanseaauthors><author><sid>3140d9cb2dde2c093d42d5bf3b85d05e</sid><firstname>Alberto</firstname><surname>Hornero</surname><name>Alberto Hornero</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>0b007e63ef097cd47d6bc60b58379103</sid><firstname>Rocio</firstname><surname>Hernandez-Clemente</surname><name>Rocio Hernandez-Clemente</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-10-20</date><deptcode>FGSEN</deptcode><abstract>Abstract: Plant pathogens pose increasing threats to global food security, causing yield losses that exceed 30% in food-deficit regions. Xylella fastidiosa (Xf) represents the major transboundary plant pest and one of the world’s most damaging pathogens in terms of socioeconomic impact. Spectral screening methods are critical to detect non-visual symptoms of early infection and prevent spread. However, the subtle pathogen-induced physiological alterations that are spectrally detectable are entangled with the dynamics of abiotic stresses. Here, using airborne spectroscopy and thermal scanning of areas covering more than one million trees of different species, infections and water stress levels, we reveal the existence of divergent pathogen- and host-specific spectral pathways that can disentangle biotic-induced symptoms. We demonstrate that uncoupling this biotic–abiotic spectral dynamics diminishes the uncertainty in the Xf detection to below 6% across different hosts. Assessing these deviating pathways against another harmful vascular pathogen that produces analogous symptoms, Verticillium dahliae, the divergent routes remained pathogen- and host-specific, revealing detection accuracies exceeding 92% across pathosystems. These urgently needed hyperspectral methods advance early detection of devastating pathogens to reduce the billions in crop losses worldwide.</abstract><type>Journal Article</type><journal>Nature Communications</journal><volume>12</volume><journalNumber>1</journalNumber><paginationStart>6088</paginationStart><paginationEnd/><publisher>Springer Science and Business Media LLC</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2041-1723</issnElectronic><keywords/><publishedDay>19</publishedDay><publishedMonth>10</publishedMonth><publishedYear>2021</publishedYear><publishedDate>2021-10-19</publishedDate><doi>10.1038/s41467-021-26335-3</doi><url/><notes/><college>COLLEGE NANME</college><department>Science and Engineering - Faculty</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>FGSEN</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>The study was partially funded by the European Union’s Horizon 2020 Research and Innovation Programme through grant agreements POnTE (635646) and XFACTORS (727987), as well as by projects AGL2009-13105 from the Spanish Ministry of Education and Science, P08-AGR-03528 from the Regional Government of Andalusia and the European Social Fund, project E-RTA2017-00004-02 from ‘Programa Estatal de I + D + I Orientada a los Retos de la Sociedad’ of Spain and FEDER, Intramural Project 201840E111 from CSIC, and Project ITS2017-095 Consejeria de Medio Ambiente, Agricultura y Pesca de las Islas Baleares, Spain.</funders><lastEdited>2021-11-17T16:35:27.6892253</lastEdited><Created>2021-10-20T13:25:40.3252334</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Geography</level></path><authors><author><firstname>P. J.</firstname><surname>Zarco-Tejada</surname><order>1</order></author><author><firstname>T.</firstname><surname>Poblete</surname><order>2</order></author><author><firstname>C.</firstname><surname>Camino</surname><order>3</order></author><author><firstname>V.</firstname><surname>Gonzalez-Dugo</surname><order>4</order></author><author><firstname>R.</firstname><surname>Calderon</surname><order>5</order></author><author><firstname>Alberto</firstname><surname>Hornero</surname><order>6</order></author><author><firstname>Rocio</firstname><surname>Hernandez-Clemente</surname><order>7</order></author><author><firstname>M.</firstname><surname>Román-Écija</surname><order>8</order></author><author><firstname>M. P.</firstname><surname>Velasco-Amo</surname><order>9</order></author><author><firstname>B. B.</firstname><surname>Landa</surname><order>10</order></author><author><firstname>P. S. A.</firstname><surname>Beck</surname><order>11</order></author><author><firstname>M.</firstname><surname>Saponari</surname><order>12</order></author><author><firstname>D.</firstname><surname>Boscia</surname><order>13</order></author><author><firstname>J. A.</firstname><surname>Navas-Cortes</surname><order>14</order></author></authors><documents><document><filename>58435__21242__6e3a74317daf41f3898af1dd3cb45c7d.pdf</filename><originalFilename>58435.pdf</originalFilename><uploaded>2021-10-20T13:28:30.9783419</uploaded><type>Output</type><contentLength>2088890</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807> |
spelling |
2021-11-17T16:35:27.6892253 v2 58435 2021-10-20 Divergent abiotic spectral pathways unravel pathogen stress signals across species 3140d9cb2dde2c093d42d5bf3b85d05e Alberto Hornero Alberto Hornero true false 0b007e63ef097cd47d6bc60b58379103 Rocio Hernandez-Clemente Rocio Hernandez-Clemente true false 2021-10-20 FGSEN Abstract: Plant pathogens pose increasing threats to global food security, causing yield losses that exceed 30% in food-deficit regions. Xylella fastidiosa (Xf) represents the major transboundary plant pest and one of the world’s most damaging pathogens in terms of socioeconomic impact. Spectral screening methods are critical to detect non-visual symptoms of early infection and prevent spread. However, the subtle pathogen-induced physiological alterations that are spectrally detectable are entangled with the dynamics of abiotic stresses. Here, using airborne spectroscopy and thermal scanning of areas covering more than one million trees of different species, infections and water stress levels, we reveal the existence of divergent pathogen- and host-specific spectral pathways that can disentangle biotic-induced symptoms. We demonstrate that uncoupling this biotic–abiotic spectral dynamics diminishes the uncertainty in the Xf detection to below 6% across different hosts. Assessing these deviating pathways against another harmful vascular pathogen that produces analogous symptoms, Verticillium dahliae, the divergent routes remained pathogen- and host-specific, revealing detection accuracies exceeding 92% across pathosystems. These urgently needed hyperspectral methods advance early detection of devastating pathogens to reduce the billions in crop losses worldwide. Journal Article Nature Communications 12 1 6088 Springer Science and Business Media LLC 2041-1723 19 10 2021 2021-10-19 10.1038/s41467-021-26335-3 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University The study was partially funded by the European Union’s Horizon 2020 Research and Innovation Programme through grant agreements POnTE (635646) and XFACTORS (727987), as well as by projects AGL2009-13105 from the Spanish Ministry of Education and Science, P08-AGR-03528 from the Regional Government of Andalusia and the European Social Fund, project E-RTA2017-00004-02 from ‘Programa Estatal de I + D + I Orientada a los Retos de la Sociedad’ of Spain and FEDER, Intramural Project 201840E111 from CSIC, and Project ITS2017-095 Consejeria de Medio Ambiente, Agricultura y Pesca de las Islas Baleares, Spain. 2021-11-17T16:35:27.6892253 2021-10-20T13:25:40.3252334 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography P. J. Zarco-Tejada 1 T. Poblete 2 C. Camino 3 V. Gonzalez-Dugo 4 R. Calderon 5 Alberto Hornero 6 Rocio Hernandez-Clemente 7 M. Román-Écija 8 M. P. Velasco-Amo 9 B. B. Landa 10 P. S. A. Beck 11 M. Saponari 12 D. Boscia 13 J. A. Navas-Cortes 14 58435__21242__6e3a74317daf41f3898af1dd3cb45c7d.pdf 58435.pdf 2021-10-20T13:28:30.9783419 Output 2088890 application/pdf Version of Record true © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License true eng http://creativecommons.org/licenses/by/4.0/ |
title |
Divergent abiotic spectral pathways unravel pathogen stress signals across species |
spellingShingle |
Divergent abiotic spectral pathways unravel pathogen stress signals across species Alberto Hornero Rocio Hernandez-Clemente |
title_short |
Divergent abiotic spectral pathways unravel pathogen stress signals across species |
title_full |
Divergent abiotic spectral pathways unravel pathogen stress signals across species |
title_fullStr |
Divergent abiotic spectral pathways unravel pathogen stress signals across species |
title_full_unstemmed |
Divergent abiotic spectral pathways unravel pathogen stress signals across species |
title_sort |
Divergent abiotic spectral pathways unravel pathogen stress signals across species |
author_id_str_mv |
3140d9cb2dde2c093d42d5bf3b85d05e 0b007e63ef097cd47d6bc60b58379103 |
author_id_fullname_str_mv |
3140d9cb2dde2c093d42d5bf3b85d05e_***_Alberto Hornero 0b007e63ef097cd47d6bc60b58379103_***_Rocio Hernandez-Clemente |
author |
Alberto Hornero Rocio Hernandez-Clemente |
author2 |
P. J. Zarco-Tejada T. Poblete C. Camino V. Gonzalez-Dugo R. Calderon Alberto Hornero Rocio Hernandez-Clemente M. Román-Écija M. P. Velasco-Amo B. B. Landa P. S. A. Beck M. Saponari D. Boscia J. A. Navas-Cortes |
format |
Journal article |
container_title |
Nature Communications |
container_volume |
12 |
container_issue |
1 |
container_start_page |
6088 |
publishDate |
2021 |
institution |
Swansea University |
issn |
2041-1723 |
doi_str_mv |
10.1038/s41467-021-26335-3 |
publisher |
Springer Science and Business Media LLC |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
hierarchy_top_id |
facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
hierarchy_parent_id |
facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography |
document_store_str |
1 |
active_str |
0 |
description |
Abstract: Plant pathogens pose increasing threats to global food security, causing yield losses that exceed 30% in food-deficit regions. Xylella fastidiosa (Xf) represents the major transboundary plant pest and one of the world’s most damaging pathogens in terms of socioeconomic impact. Spectral screening methods are critical to detect non-visual symptoms of early infection and prevent spread. However, the subtle pathogen-induced physiological alterations that are spectrally detectable are entangled with the dynamics of abiotic stresses. Here, using airborne spectroscopy and thermal scanning of areas covering more than one million trees of different species, infections and water stress levels, we reveal the existence of divergent pathogen- and host-specific spectral pathways that can disentangle biotic-induced symptoms. We demonstrate that uncoupling this biotic–abiotic spectral dynamics diminishes the uncertainty in the Xf detection to below 6% across different hosts. Assessing these deviating pathways against another harmful vascular pathogen that produces analogous symptoms, Verticillium dahliae, the divergent routes remained pathogen- and host-specific, revealing detection accuracies exceeding 92% across pathosystems. These urgently needed hyperspectral methods advance early detection of devastating pathogens to reduce the billions in crop losses worldwide. |
published_date |
2021-10-19T04:14:58Z |
_version_ |
1763754008149753856 |
score |
11.016235 |