The answer, my friend, is blowin’ in the wind: Blow sampling provides a new dimension to whale population monitoring
Marine mammals play a fundamental role in the functioning of healthy marine ecosystems and are important indicator species. Studying their biology, distributions, behaviour and health are still technically and logistically demanding for researchers. However, the efforts and commitment have not been...
Gespeichert in:
Veröffentlicht in: | Molecular ecology resources 2024-11, Vol.24 (8), p.e14012-n/a |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | n/a |
---|---|
container_issue | 8 |
container_start_page | e14012 |
container_title | Molecular ecology resources |
container_volume | 24 |
creator | Valsecchi, Elena |
description | Marine mammals play a fundamental role in the functioning of healthy marine ecosystems and are important indicator species. Studying their biology, distributions, behaviour and health are still technically and logistically demanding for researchers. However, the efforts and commitment have not been in vain, since we are witnessing constant and exponential advancement in the study of these animals, thanks to technological progress in numerous fields. These include miniaturization and performance of biologger tags, which are equipped with sensors for measuring physiological parameters, hydrophones, accelerometers, time‐depth records and spatial locations; the use of high throughput ‘Next Generation’ Sequencing to gain genetic information about communities and individual species from nucleic acids in environmental samples at miniscule concentrations; through, to the possibility of monitoring species with autonomous aerial and underwater vehicles. In parallel advances in computing and statistical modelling frameworks support the analysis of increasingly large and complex data sets. In this issue, O'Mahony et al. (2024) draw from at least two of these innovations: (a) the collection of biological material retrieved from large whales' blows using a modified drone and (b) the use of the samples to infer a wide spectrum of genetic information (both nuclear and mitochondrial) about the target animal/population. The methodology is not completely novel, but the study shows an impressive advancement in the amount of data obtained compared to preceding studies using the same approach. In the wake of these promising results, future perspectives are evaluated in relation to alternative sampling methodologies currently in use. It is possible to speculate that, in the next few years, the combination of non‐invasive molecular profiling and enhanced drone technology (e.g. assembling increasingly smaller components, thus expanding capacity for autonomous operation) will open up perspectives that were unimaginable at the beginning of this millennium. |
doi_str_mv | 10.1111/1755-0998.14012 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3154151725</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3097493343</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3292-d872459be44579c5c80f6946b816ee7ba479e344732b053a54619e5dccdfdd633</originalsourceid><addsrcrecordid>eNqFkTFv1TAUhS1ERUthZkOWWBj6Wt_YTmI2qFqoVGApEpvlxDfUVWIH-6XR2_gb_L3-Ehxe-4Yu9WL76DtH1z6EvAF2DHmdQCXliilVH4NgUDwjBzvl-e5c_9wnL1O6YaxkqhIvyD5XUNcA8oDcXl0jNT7NGI_osKFddOjtEXWJNn2Ynb_785c6T9cZyzf7gX7KMk1mGHvnf9ExhltnMVFDPc7UugF9ciEbAp2vTY90DOPUm_WiDcG7dYjZ94rsdaZP-Pp-PyQ_zs-uTr-sLr9_vjj9eLlqeaGKla2rQkjVoBCyUq1sa9aVSpRNDSVi1RhRKeRCVLxomORGihIUStu2trO25PyQvN_m5jl_T5jWenCpxb43HsOUNAcpQEJVyKfR5e8U52JJffcIvQlT9PkhORBAsRpEkamTLdXGkFLETo_RDSZuNDC9tKeXfvTSlf7fXna8vc-dmgHtjn-oKwNyC8yux81Tefrr2bdt8D-416Pg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3111908142</pqid></control><display><type>article</type><title>The answer, my friend, is blowin’ in the wind: Blow sampling provides a new dimension to whale population monitoring</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Valsecchi, Elena</creator><creatorcontrib>Valsecchi, Elena</creatorcontrib><description>Marine mammals play a fundamental role in the functioning of healthy marine ecosystems and are important indicator species. Studying their biology, distributions, behaviour and health are still technically and logistically demanding for researchers. However, the efforts and commitment have not been in vain, since we are witnessing constant and exponential advancement in the study of these animals, thanks to technological progress in numerous fields. These include miniaturization and performance of biologger tags, which are equipped with sensors for measuring physiological parameters, hydrophones, accelerometers, time‐depth records and spatial locations; the use of high throughput ‘Next Generation’ Sequencing to gain genetic information about communities and individual species from nucleic acids in environmental samples at miniscule concentrations; through, to the possibility of monitoring species with autonomous aerial and underwater vehicles. In parallel advances in computing and statistical modelling frameworks support the analysis of increasingly large and complex data sets. In this issue, O'Mahony et al. (2024) draw from at least two of these innovations: (a) the collection of biological material retrieved from large whales' blows using a modified drone and (b) the use of the samples to infer a wide spectrum of genetic information (both nuclear and mitochondrial) about the target animal/population. The methodology is not completely novel, but the study shows an impressive advancement in the amount of data obtained compared to preceding studies using the same approach. In the wake of these promising results, future perspectives are evaluated in relation to alternative sampling methodologies currently in use. It is possible to speculate that, in the next few years, the combination of non‐invasive molecular profiling and enhanced drone technology (e.g. assembling increasingly smaller components, thus expanding capacity for autonomous operation) will open up perspectives that were unimaginable at the beginning of this millennium.</description><identifier>ISSN: 1755-098X</identifier><identifier>ISSN: 1755-0998</identifier><identifier>EISSN: 1755-0998</identifier><identifier>DOI: 10.1111/1755-0998.14012</identifier><identifier>PMID: 39188115</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Accelerometers ; Animals ; Aquatic mammals ; Biological materials ; cetaceans ; conservation genetics ; DNA sampling ; drone ; Drone aircraft ; ecology ; Gene sequencing ; Genetic analysis ; Hydrophones ; Indicator species ; Information retrieval ; Marine biology ; Marine ecosystems ; Marine mammals ; Marine technology ; mitochondria ; New records ; Nucleic acids ; Population genetics ; Population studies ; Sampling ; Sampling methods ; species ; Statistical analysis ; Statistical models ; Underwater vehicles ; whale blow ; Whales ; Whales - genetics ; Whales - physiology ; wind</subject><ispartof>Molecular ecology resources, 2024-11, Vol.24 (8), p.e14012-n/a</ispartof><rights>2024 The Author(s). published by John Wiley & Sons Ltd.</rights><rights>2024 The Author(s). Molecular Ecology Resources published by John Wiley & Sons Ltd.</rights><rights>2024. This article is published 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.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3292-d872459be44579c5c80f6946b816ee7ba479e344732b053a54619e5dccdfdd633</cites><orcidid>0000-0003-3869-6413</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2F1755-0998.14012$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F1755-0998.14012$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39188115$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Valsecchi, Elena</creatorcontrib><title>The answer, my friend, is blowin’ in the wind: Blow sampling provides a new dimension to whale population monitoring</title><title>Molecular ecology resources</title><addtitle>Mol Ecol Resour</addtitle><description>Marine mammals play a fundamental role in the functioning of healthy marine ecosystems and are important indicator species. Studying their biology, distributions, behaviour and health are still technically and logistically demanding for researchers. However, the efforts and commitment have not been in vain, since we are witnessing constant and exponential advancement in the study of these animals, thanks to technological progress in numerous fields. These include miniaturization and performance of biologger tags, which are equipped with sensors for measuring physiological parameters, hydrophones, accelerometers, time‐depth records and spatial locations; the use of high throughput ‘Next Generation’ Sequencing to gain genetic information about communities and individual species from nucleic acids in environmental samples at miniscule concentrations; through, to the possibility of monitoring species with autonomous aerial and underwater vehicles. In parallel advances in computing and statistical modelling frameworks support the analysis of increasingly large and complex data sets. In this issue, O'Mahony et al. (2024) draw from at least two of these innovations: (a) the collection of biological material retrieved from large whales' blows using a modified drone and (b) the use of the samples to infer a wide spectrum of genetic information (both nuclear and mitochondrial) about the target animal/population. The methodology is not completely novel, but the study shows an impressive advancement in the amount of data obtained compared to preceding studies using the same approach. In the wake of these promising results, future perspectives are evaluated in relation to alternative sampling methodologies currently in use. It is possible to speculate that, in the next few years, the combination of non‐invasive molecular profiling and enhanced drone technology (e.g. assembling increasingly smaller components, thus expanding capacity for autonomous operation) will open up perspectives that were unimaginable at the beginning of this millennium.</description><subject>Accelerometers</subject><subject>Animals</subject><subject>Aquatic mammals</subject><subject>Biological materials</subject><subject>cetaceans</subject><subject>conservation genetics</subject><subject>DNA sampling</subject><subject>drone</subject><subject>Drone aircraft</subject><subject>ecology</subject><subject>Gene sequencing</subject><subject>Genetic analysis</subject><subject>Hydrophones</subject><subject>Indicator species</subject><subject>Information retrieval</subject><subject>Marine biology</subject><subject>Marine ecosystems</subject><subject>Marine mammals</subject><subject>Marine technology</subject><subject>mitochondria</subject><subject>New records</subject><subject>Nucleic acids</subject><subject>Population genetics</subject><subject>Population studies</subject><subject>Sampling</subject><subject>Sampling methods</subject><subject>species</subject><subject>Statistical analysis</subject><subject>Statistical models</subject><subject>Underwater vehicles</subject><subject>whale blow</subject><subject>Whales</subject><subject>Whales - genetics</subject><subject>Whales - physiology</subject><subject>wind</subject><issn>1755-098X</issn><issn>1755-0998</issn><issn>1755-0998</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNqFkTFv1TAUhS1ERUthZkOWWBj6Wt_YTmI2qFqoVGApEpvlxDfUVWIH-6XR2_gb_L3-Ehxe-4Yu9WL76DtH1z6EvAF2DHmdQCXliilVH4NgUDwjBzvl-e5c_9wnL1O6YaxkqhIvyD5XUNcA8oDcXl0jNT7NGI_osKFddOjtEXWJNn2Ynb_785c6T9cZyzf7gX7KMk1mGHvnf9ExhltnMVFDPc7UugF9ciEbAp2vTY90DOPUm_WiDcG7dYjZ94rsdaZP-Pp-PyQ_zs-uTr-sLr9_vjj9eLlqeaGKla2rQkjVoBCyUq1sa9aVSpRNDSVi1RhRKeRCVLxomORGihIUStu2trO25PyQvN_m5jl_T5jWenCpxb43HsOUNAcpQEJVyKfR5e8U52JJffcIvQlT9PkhORBAsRpEkamTLdXGkFLETo_RDSZuNDC9tKeXfvTSlf7fXna8vc-dmgHtjn-oKwNyC8yux81Tefrr2bdt8D-416Pg</recordid><startdate>202411</startdate><enddate>202411</enddate><creator>Valsecchi, Elena</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7SS</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0003-3869-6413</orcidid></search><sort><creationdate>202411</creationdate><title>The answer, my friend, is blowin’ in the wind: Blow sampling provides a new dimension to whale population monitoring</title><author>Valsecchi, Elena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3292-d872459be44579c5c80f6946b816ee7ba479e344732b053a54619e5dccdfdd633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accelerometers</topic><topic>Animals</topic><topic>Aquatic mammals</topic><topic>Biological materials</topic><topic>cetaceans</topic><topic>conservation genetics</topic><topic>DNA sampling</topic><topic>drone</topic><topic>Drone aircraft</topic><topic>ecology</topic><topic>Gene sequencing</topic><topic>Genetic analysis</topic><topic>Hydrophones</topic><topic>Indicator species</topic><topic>Information retrieval</topic><topic>Marine biology</topic><topic>Marine ecosystems</topic><topic>Marine mammals</topic><topic>Marine technology</topic><topic>mitochondria</topic><topic>New records</topic><topic>Nucleic acids</topic><topic>Population genetics</topic><topic>Population studies</topic><topic>Sampling</topic><topic>Sampling methods</topic><topic>species</topic><topic>Statistical analysis</topic><topic>Statistical models</topic><topic>Underwater vehicles</topic><topic>whale blow</topic><topic>Whales</topic><topic>Whales - genetics</topic><topic>Whales - physiology</topic><topic>wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Valsecchi, Elena</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Molecular ecology resources</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Valsecchi, Elena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The answer, my friend, is blowin’ in the wind: Blow sampling provides a new dimension to whale population monitoring</atitle><jtitle>Molecular ecology resources</jtitle><addtitle>Mol Ecol Resour</addtitle><date>2024-11</date><risdate>2024</risdate><volume>24</volume><issue>8</issue><spage>e14012</spage><epage>n/a</epage><pages>e14012-n/a</pages><issn>1755-098X</issn><issn>1755-0998</issn><eissn>1755-0998</eissn><abstract>Marine mammals play a fundamental role in the functioning of healthy marine ecosystems and are important indicator species. Studying their biology, distributions, behaviour and health are still technically and logistically demanding for researchers. However, the efforts and commitment have not been in vain, since we are witnessing constant and exponential advancement in the study of these animals, thanks to technological progress in numerous fields. These include miniaturization and performance of biologger tags, which are equipped with sensors for measuring physiological parameters, hydrophones, accelerometers, time‐depth records and spatial locations; the use of high throughput ‘Next Generation’ Sequencing to gain genetic information about communities and individual species from nucleic acids in environmental samples at miniscule concentrations; through, to the possibility of monitoring species with autonomous aerial and underwater vehicles. In parallel advances in computing and statistical modelling frameworks support the analysis of increasingly large and complex data sets. In this issue, O'Mahony et al. (2024) draw from at least two of these innovations: (a) the collection of biological material retrieved from large whales' blows using a modified drone and (b) the use of the samples to infer a wide spectrum of genetic information (both nuclear and mitochondrial) about the target animal/population. The methodology is not completely novel, but the study shows an impressive advancement in the amount of data obtained compared to preceding studies using the same approach. In the wake of these promising results, future perspectives are evaluated in relation to alternative sampling methodologies currently in use. It is possible to speculate that, in the next few years, the combination of non‐invasive molecular profiling and enhanced drone technology (e.g. assembling increasingly smaller components, thus expanding capacity for autonomous operation) will open up perspectives that were unimaginable at the beginning of this millennium.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>39188115</pmid><doi>10.1111/1755-0998.14012</doi><tpages>3</tpages><orcidid>https://orcid.org/0000-0003-3869-6413</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1755-098X |
ispartof | Molecular ecology resources, 2024-11, Vol.24 (8), p.e14012-n/a |
issn | 1755-098X 1755-0998 1755-0998 |
language | eng |
recordid | cdi_proquest_miscellaneous_3154151725 |
source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
subjects | Accelerometers Animals Aquatic mammals Biological materials cetaceans conservation genetics DNA sampling drone Drone aircraft ecology Gene sequencing Genetic analysis Hydrophones Indicator species Information retrieval Marine biology Marine ecosystems Marine mammals Marine technology mitochondria New records Nucleic acids Population genetics Population studies Sampling Sampling methods species Statistical analysis Statistical models Underwater vehicles whale blow Whales Whales - genetics Whales - physiology wind |
title | The answer, my friend, is blowin’ in the wind: Blow sampling provides a new dimension to whale population monitoring |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T03%3A30%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20answer,%20my%20friend,%20is%20blowin%E2%80%99%20in%20the%20wind:%20Blow%20sampling%20provides%20a%20new%20dimension%20to%20whale%20population%20monitoring&rft.jtitle=Molecular%20ecology%20resources&rft.au=Valsecchi,%20Elena&rft.date=2024-11&rft.volume=24&rft.issue=8&rft.spage=e14012&rft.epage=n/a&rft.pages=e14012-n/a&rft.issn=1755-098X&rft.eissn=1755-0998&rft_id=info:doi/10.1111/1755-0998.14012&rft_dat=%3Cproquest_cross%3E3097493343%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3111908142&rft_id=info:pmid/39188115&rfr_iscdi=true |