{"id":66,"date":"2022-02-04T09:47:23","date_gmt":"2022-02-04T08:47:23","guid":{"rendered":"https:\/\/pgtb.fr\/?page_id=66"},"modified":"2026-05-19T13:59:16","modified_gmt":"2026-05-19T11:59:16","slug":"la-metagenomique-ciblee","status":"publish","type":"page","link":"https:\/\/pgtb.fr\/en\/la-metagenomique-ciblee\/","title":{"rendered":"Targeted metagenomic (metabarcoding)"},"content":{"rendered":"<p class=\"has-text-align-justify wp-block-paragraph\">Targeted metagenomics (metabarcoding) enables the identification of organisms (bacteria, archaea, eukaryotes) present in complex environments (tissues, faeces, saliva, soil samples, water, air, food, etc.). This method, which is an alternative to culturing samples in the laboratory, is based on the analysis of environmental DNA using next-generation sequencing (NGS) of targeted DNA regions, which have been previously amplified by PCR.<\/p>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph\">Metabarcoding analysis using next-generation sequencing (NGS) involves several steps. First, total DNA is extracted from the sample, after which a taxonomically informative marker common to a specific group of interest is amplified. It is also possible to analyse several markers of interest simultaneously using multiplexing. The resulting amplicons are sequenced and analysed using bioinformatics to determine which organisms are present in the sample and their relative abundance.&nbsp;<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" width=\"750\" height=\"291\" data-attachment-id=\"1340\" data-permalink=\"https:\/\/pgtb.fr\/en\/metabarcoding\/\" data-orig-file=\"https:\/\/i0.wp.com\/pgtb.fr\/wp-content\/uploads\/2022\/04\/metabarcoding.jpg?fit=1428%2C555&amp;ssl=1\" data-orig-size=\"1428,555\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;1&quot;}\" data-image-title=\"metabarcoding\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/pgtb.fr\/wp-content\/uploads\/2022\/04\/metabarcoding.jpg?fit=750%2C291&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/pgtb.fr\/wp-content\/uploads\/2022\/04\/metabarcoding.jpg?resize=750%2C291&#038;ssl=1\" alt=\"\" class=\"wp-image-1340\"\/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">PGTB offers this analysis as short-read sequencing on Illumina\u2019s MiSeq i100 and NextSeq 2000 sequencers, and as long-read sequencing on Oxford Nanopore Technologies\u2019 PromethION 2 Solo sequencer:<\/p>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\" style=\"font-size:15px\"><table><tbody><tr><td>&nbsp;<\/td><td class=\"has-text-align-right\" data-align=\"right\"><strong>Short read<\/strong><\/td><td class=\"has-text-align-right\" data-align=\"right\"><strong>Long read<\/strong><\/td><\/tr><tr><td>Maximum number of sequences per run<\/td><td class=\"has-text-align-right\" data-align=\"right\">300 M (2&#215;300 pb)<\/td><td class=\"has-text-align-right\" data-align=\"right\">5 M<\/td><\/tr><tr><td>Maximum number of samples per run<\/td><td class=\"has-text-align-right\" data-align=\"right\">1140<\/td><td class=\"has-text-align-right\" data-align=\"right\">96<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph translation-block\"><strong>IMPORTANT <\/strong>: For targeted metagenomic analyses, Illumina recommends using 35% PhiX to avoid compromising the quality of the data produced due to the lack of diversity in this type of library. We follow these recommendations, which results in a proportional reduction in the number of usable reads.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">The PGTB also provides a <a href=\"https:\/\/pgtb.fr\/en\/laboratoire-adn-sensible\/\" target=\"_self\">dedicated DNA laboratory<\/a> for the extraction of DNA from environmental samples and the preparation of libraries under optimal conditions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<ul style=\"font-size:30px\" class=\"wp-block-list\">\n<li>Targeted metagenomics using an Illumina sequencer<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:30px\">Services <\/h2>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph translation-block\"><em>Number of samples<\/em>: 95 to 1,140 per run. One well per plate is left empty for the PGTB internal control.<\/p>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph translation-block\"><em>Sample type<\/em>: DNA or PCR products with a specific molecular tail<\/p>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph translation-block\"><em>Sequencing on the Illumina MiSeq i100 or NextSeq 2000<\/em>: selecting the flow cell based on the number of samples and targets analysed, and the target sequencing depth.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:30px\">Requirements <\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pgtb.fr\/wp-content\/uploads\/2026\/05\/I-Prerequis-pour-lanalyse-metagenomique-ciblee-Envoi-dADN-1.pdf\" data-type=\"link\" data-id=\"https:\/\/pgtb.fr\/wp-content\/uploads\/2026\/05\/I-Prerequis-pour-lanalyse-metagenomique-ciblee-Envoi-dADN-1.pdf\">Requirements for metabarcoding from DNA<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pgtb.fr\/wp-content\/uploads\/2026\/05\/I-Prerequis-pour-la-metagenomique-ciblee-Envoi-de-produit-PCR-1.pdf\" data-type=\"link\" data-id=\"https:\/\/pgtb.fr\/wp-content\/uploads\/2026\/05\/I-Prerequis-pour-la-metagenomique-ciblee-Envoi-de-produit-PCR-1.pdf\">Requirements for metabarcoding from PCR1 products<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:30px\">Results<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Sent by email or uploaded to a server<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Depending on the service requested:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Demultiplexed FASTQ files<\/li>\n\n\n\n<li class=\"translation-block\">Sequencing run report (<a rel=\"noreferrer noopener\" href=\"https:\/\/multiqc.info\/\" target=\"_blank\">MultiQC<\/a>)<\/li>\n\n\n\n<li>If bioanalysis: report and file containing the results of the data analysis (table showing the abundance of OTUs or ASVs along with their taxonomic assignments, etc.)<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<ul style=\"font-size:30px\" class=\"wp-block-list\">\n<li>Targeted metagenomics on the P2 Solo sequencer<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:30px\">Services <\/h2>\n\n\n\n<p class=\"wp-block-paragraph translation-block\"><em>Number of samples<\/em>: to be determined based on the size of the targets<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\"><em>Sample type<\/em>: DNA or PCR products with a specific molecular tail<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:30px\">Requirements <\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Sufficient DNA integrity and purity to obtain long-range PCR products<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Int\u00e9grit\u00e9 et puret\u00e9 des ADN suffisants pour obtenir des produits de PCR long range<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:30px\">Results <\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Sent by email or uploaded to a server<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Depending on the service requested:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Demultiplexed FASTQ files<\/li>\n\n\n\n<li class=\"translation-block\">Sequencing run report (<a href=\"https:\/\/a-slide.github.io\/pycoQC\/\" target=\"_blank\" rel=\"noreferrer noopener\">PycoQC<\/a>)<\/li>\n\n\n\n<li class=\"translation-block\">Analysis on the EPI2ME platform (<a rel=\"noreferrer noopener\" href=\"https:\/\/nanoporetech.com\/resource-centre\/epi2me-16s-workflow-real-time-identification-bacteria-and-archaea\" target=\"_blank\">16S<\/a>, <a rel=\"noreferrer noopener\" href=\"https:\/\/nanoporetech.com\/resource-centre\/epi2me-wimp-workflow-quantitative-real-time-species-identification-metagenomic\" target=\"_blank\">WIMP.<\/a>..).<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:30px\">Associated publications<\/h2>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph\">Barroso-Bergad\u00e0, D., Delmotte, F., Faivre d\u2019Arcier, J.,&nbsp;<strong>Massot, M., Chancerel, E.<\/strong>, Demeaux, I., Guimier, S.,&nbsp;<strong>Guichoux, E<\/strong>., Bohan, D.A., Vacher, C., 2023a. Leaf Microbiome Data for European Cultivated Grapevine ( Vitis vinifera ) During Downy Mildew ( Plasmopara viticola ) Epidemics in Three Wine-Producing Regions in France. PhytoFrontiers\u2122 3, 477\u2013483.&nbsp;<a href=\"https:\/\/doi.org\/10.1094\/PHYTOFR-11-22-0138-A\">https:\/\/doi.org\/10.1094\/PHYTOFR-11-22-0138-A<\/a><\/p>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph\">Barroso-Bergad\u00e0, D., Massot, M., Vignolles, N., Faivre d\u2019Arcier, J.,&nbsp;<strong>Chancerel, E., Guichoux, E.<\/strong>, Walker, A.-S., Vacher, C., Bohan, D.A., Laval, V., Suffert, F., 2023b. Metagenomic Next-Generation Sequencing (mNGS) Data Reveal the Phyllosphere Microbiome of Wheat Plants Infected by the Fungal Pathogen Zymoseptoria tritici. Phytobiomes Journal 7, 281\u2013287.&nbsp;<a href=\"https:\/\/doi.org\/10.1094\/PBIOMES-02-22-0008-FI\">https:\/\/doi.org\/10.1094\/PBIOMES-02-22-0008-FI<\/a><\/p>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph\">Cambon, M.C., Cartry, D.,&nbsp;<strong>Chancerel, E<\/strong>., Ziegler, C., Levionnois, S., Coste, S., Stahl, C., Delzon, S., Bu\u00e9e, M., Burban, B., Cazal, J., Fort, T., Goret, J.-Y., Heuret, P., L\u00e9ger, P., Louisanna, E., Ritter, Y., Bonal, D., Roy, M., Schimann, H., Vacher, C., 2023a. Drought Tolerance Traits in Neotropical Trees Correlate with the Composition of Phyllosphere Fungal Communities. Phytobiomes Journal 7, 244\u2013258.&nbsp;<a href=\"https:\/\/doi.org\/10.1094\/PBIOMES-04-22-0023-R\">https:\/\/doi.org\/10.1094\/PBIOMES-04-22-0023-R<\/a><\/p>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph\">Cambon, M.C., Trillat, M., Lesur\u2010Kupin, I., Burlett, R.,&nbsp;<strong>Chancerel, E., Guichoux,&nbsp;<\/strong>E., Piouceau, L., Castagneyrol, B., Le&nbsp;Provost, G., Robin, S., Ritter, Y., Van&nbsp;Halder, I., Delzon, S., Bohan, D.A., Vacher, C., 2023b. Microbial biomarkers of tree water status for next\u2010generation biomonitoring of forest ecosystems. Molecular Ecology 32, 5944\u20135958.&nbsp;<a href=\"https:\/\/doi.org\/10.1111\/mec.17149\">https:\/\/doi.org\/10.1111\/mec.17149<\/a><\/p>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph\">Fort, T., Pauvert, C.,&nbsp;<strong>Chancerel, E<\/strong>., Burlett, R., Wingate, L., Vacher, C., 2023. Leaf microbiome data for European beech (Fagus sylvatica) at the leaf and canopy scales collected in a gallery forest in South-West France. Annals of Forest Science 80, 14.&nbsp;<a href=\"https:\/\/doi.org\/10.1186\/s13595-023-01181-z\">https:\/\/doi.org\/10.1186\/s13595-023-01181-z<\/a><\/p>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph\">Tamarelle, J.,&nbsp;<strong>Penaud, B., Tyssandier, B., Guichoux, E.<\/strong>, <em>et al.<\/em>, 2023. Effects of azithromycin and doxycycline on the vaginal microbiota of women with urogenital Chlamydia trachomatis infection: a substudy of the Chlazidoxy randomized controlled trial. Clinical Microbiology and Infection 29, 1056\u20131062.&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.cmi.2023.04.020\">https:\/\/doi.org\/10.1016\/j.cmi.2023.04.020<\/a><\/p>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph\">Ravign\u00e9, V., Becker, N., Massol, F.,&nbsp;<strong>Guichoux, E., Boury, C<\/strong>., Mah\u00e9, F., Facon, B., 2022. Fruit fly phylogeny imprints bacterial gut microbiota. Evolutionary Applications n\/a.&nbsp;<a href=\"https:\/\/doi.org\/10.1111\/eva.13352\">https:\/\/doi.org\/10.1111\/eva.13352<\/a><\/p>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph\">Vacher, C., Francioni, C., Michel, M., Fort, T., Faivre d\u2019Arcier, J.,&nbsp;<strong>Chancerel, E<\/strong>., Delmotte, F., Delmas, C.E.L., 2022. Fungal Metabarcoding Data for Two Grapevine Varieties (Regent and Vitis vinifera \u2018Cabernet-Sauvignon\u2019) Inoculated with Powdery Mildew (Erysiphe necator) Under Drought Conditions. Phytobiomes Journal PBIOMES-06-22-0037-A.&nbsp;<a href=\"https:\/\/doi.org\/10.1094\/PBIOMES-06-22-0037-A\">https:\/\/doi.org\/10.1094\/PBIOMES-06-22-0037-A<\/a><\/p>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph\">Aguayo J, Husson C,<strong>&nbsp;Chancerel E<\/strong>, Fabreguettes O, Chandelier A, Fourrier-Jeandel C, et al. Combining permanent aerobiological networks and molecular analyses for large-scale surveillance of forest fungal pathogens: A proof-of-concept. Plant Pathology. 2021;70(1):181\u201194.<a href=\"https:\/\/doi.org\/10.1111\/ppa.13265\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1111\/ppa.13265<\/a><\/p>\n\n\n\n<p class=\"has-text-align-justify wp-block-paragraph\">Enaud R, Cambos S, Viaud E,&nbsp;<strong>Guichoux E, Chancerel E<\/strong>, Marighetto A, et al. Gut Microbiota and Mycobiota Evolution Is Linked to Memory Improvement after Bariatric Surgery in Obese Patients: A Pilot Study. Nutrients. 13 nov 2021;13(11):4061.&nbsp;<a href=\"https:\/\/doi.org\/10.3390\/nu13114061\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.3390\/nu13114061<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>La m\u00e9tag\u00e9nomique cibl\u00e9e (metabarcoding) permet d\u2019\u00e9tablir un inventaire des organismes (bact\u00e9ries, arch\u00e9es, eucaryotes) pr\u00e9sents dans un milieu complexe (tissus, f\u00e8ces, salive, \u00e9chantillons de sol, eau, air, aliments&#8230;). Cette m\u00e9thode, qui est une alternative \u00e0 la culture d&rsquo;\u00e9chantillons en laboratoire, est bas\u00e9e sur l\u2019analyse de l&rsquo;ADN environnemental par s\u00e9quen\u00e7age haut d\u00e9bit (NGS) \u00e0 partir de r\u00e9gions<a class=\"more-link\" href=\"https:\/\/pgtb.fr\/en\/la-metagenomique-ciblee\/\">Continue reading <span class=\"screen-reader-text\">\u00ab\u00a0La m\u00e9tag\u00e9nomique cibl\u00e9e (metabarcoding)\u00a0\u00bb<\/span><\/a><\/p>","protected":false},"author":216247060,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"jetpack_seo_schema_type":"","_wpcom_ai_launchpad_about_page":false,"_wpcom_ai_launchpad_gallery_page":false,"_wpcom_ai_launchpad_contact_page":false,"_wpcom_ai_launchpad_events_page":false,"_wpcom_ai_launchpad_video_page":false,"_wpcom_ai_launchpad_portfolio_piece":false,"footnotes":""},"class_list":["post-66","page","type-page","status-publish","hentry","entry"],"jetpack_likes_enabled":true,"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/PdFmHm-14","jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/pgtb.fr\/en\/wp-json\/wp\/v2\/pages\/66","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pgtb.fr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pgtb.fr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pgtb.fr\/en\/wp-json\/wp\/v2\/users\/216247060"}],"replies":[{"embeddable":true,"href":"https:\/\/pgtb.fr\/en\/wp-json\/wp\/v2\/comments?post=66"}],"version-history":[{"count":33,"href":"https:\/\/pgtb.fr\/en\/wp-json\/wp\/v2\/pages\/66\/revisions"}],"predecessor-version":[{"id":4229,"href":"https:\/\/pgtb.fr\/en\/wp-json\/wp\/v2\/pages\/66\/revisions\/4229"}],"wp:attachment":[{"href":"https:\/\/pgtb.fr\/en\/wp-json\/wp\/v2\/media?parent=66"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}