{"id":221,"date":"2012-04-26T00:07:37","date_gmt":"2012-04-25T23:07:37","guid":{"rendered":"https:\/\/www.tantolabels.com\/blog\/?p=221"},"modified":"2017-08-11T10:57:09","modified_gmt":"2017-08-11T09:57:09","slug":"animal-species-barcodes","status":"publish","type":"post","link":"https:\/\/tantolabels.com\/blog\/animal-species-barcodes\/","title":{"rendered":"Plant and Animal Species Identified FAST with Barcodes"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"data:image\/jpeg;base64,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\" alt=\"\" width=\"241\" height=\"160\" \/><\/p>\n<p>As a barcode labels manufacturer Tanto Labels is always\u00a0 interested in the use and application of barcode labels across business and society.\u00a0 This story from the scientific community is not really about barcodes as we know them, but more about the boffins helping explain\u00a0 a complex idea using a\u00a0 familiar\u00a0 every-day product.<\/p>\n<p>Biologists want to use a similar process to barcodes to aid rapid identification of plant and animal life.\u00a0 An\u00a0initiative dubbed\u00a0 German Barcode of Life (GBOL)\u00a0 is bringing together\u00a0 zoologists and botanists in Germany.<\/p>\n<p>In the DNA of living beings, scientists\u00a0 have identified sections as <em>DNA barcodes<\/em> that, while being almost identical within a certain species, differ among the various species,&#8221; explained Prof. Dr. Dietmar Quandt from the Nees Institute for Biodiversity of Plants at the University of Bonn. &#8220;Based on these markers, we can then identify species unambiguously and relatively fast.&#8221; The result of this analysis resembles barcodes at the supermarket; only that it does not come in black and white, but in four colours, with each one corresponding to one of the four letters of the genetic code.<\/p>\n<h3><strong>Barcodes and the genetic make-up<\/strong><\/h3>\n<p>In classical biological taxonomy, animals and plants are identified by their external characteristics. &#8220;It is in species of a genus that resemble each other very closely, such as sedges, that definite identification can be a very long process,&#8221; reported Prof. Quandt, Speaker for the botanical project within the GBOL Initiative. &#8220;In addition, we have to rely on competent experts here, who unfortunately are a dying breed nationally.&#8221; Fully automated sequencing of DNA, however, allows identifying plants much faster. &#8220;Besides, we do not need flowering and complete plants,&#8221; added Stefanie Winter, one of Prof. Quandt&#8217;s doctoral candidates. &#8220;A tiny fragment, e.g., from a leaf, is sufficient for identifying the species based on its genetic markers.&#8221;<\/p>\n<p><a href=\"http:\/\/www.sciencedaily.com\/releases\/2012\/04\/120425094557.htm\" target=\"_blank\">Read the full story here.<\/a><\/p>\n<p>At Tanto labels we supply everything to do with barcodes labels and barcode label printers. To view all our products and services view our menu on the left.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div data-counters='1' data-style='square' data-size='regular' data-url='https:\/\/tantolabels.com\/blog\/animal-species-barcodes\/' data-title='Plant and Animal Species Identified FAST with Barcodes' class='linksalpha_container linksalpha_app_3'><a href='\/\/www.linksalpha.com\/share?network='facebook' class='linksalpha_icon_facebook'><\/a><a href='\/\/www.linksalpha.com\/share?network='twitter' class='linksalpha_icon_twitter'><\/a><a href='\/\/www.linksalpha.com\/share?network='googleplus' class='linksalpha_icon_googleplus'><\/a><a href='\/\/www.linksalpha.com\/share?network='mail' class='linksalpha_icon_mail'><\/a><\/div><div data-position='' data-url='https:\/\/tantolabels.com\/blog\/animal-species-barcodes\/' data-title='Plant and Animal Species Identified FAST with Barcodes' class='linksalpha_container linksalpha_app_7'><a href='\/\/www.linksalpha.com\/share?network='facebook' class='linksalpha_icon_facebook'><\/a><a href='\/\/www.linksalpha.com\/share?network='twitter' class='linksalpha_icon_twitter'><\/a><a href='\/\/www.linksalpha.com\/share?network='googleplus' class='linksalpha_icon_googleplus'><\/a><a href='\/\/www.linksalpha.com\/share?network='mail' class='linksalpha_icon_mail'><\/a><\/div>","protected":false},"excerpt":{"rendered":"<p>As a barcode labels manufacturer Tanto Labels is always\u00a0 interested in the use and application of barcode labels across business and society.\u00a0 This story from the scientific community is not really about barcodes as we know them, but more about the boffins helping explain\u00a0 a complex idea using a\u00a0 familiar\u00a0 every-day product. Biologists want to use a similar process to barcodes to aid rapid identification of plant and animal life.\u00a0 An\u00a0initiative dubbed\u00a0 German Barcode of Life (GBOL)\u00a0 is bringing together\u00a0 zoologists and botanists in Germany. In the DNA of living beings, scientists\u00a0 have identified sections as DNA barcodes that, while being almost identical within a certain species, differ among the various species,&#8221; explained Prof. Dr. Dietmar Quandt from the Nees Institute for Biodiversity of Plants at the University of Bonn. &#8220;Based on these markers, we can then identify species unambiguously and relatively fast.&#8221; The result of this analysis resembles barcodes at the supermarket; only that it does not come in black and white, but in four colours, with each one corresponding to one of the four letters of the genetic code. Barcodes and the genetic make-up In classical biological taxonomy, animals and plants are identified by their external characteristics. &#8220;It [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,6],"tags":[22,36,37],"class_list":["post-221","post","type-post","status-publish","format-standard","hentry","category-barcodes","category-tanto-news-and-offers","tag-barcode","tag-fast-barcode","tag-identify"],"_links":{"self":[{"href":"https:\/\/tantolabels.com\/blog\/wp-json\/wp\/v2\/posts\/221","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tantolabels.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tantolabels.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tantolabels.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/tantolabels.com\/blog\/wp-json\/wp\/v2\/comments?post=221"}],"version-history":[{"count":18,"href":"https:\/\/tantolabels.com\/blog\/wp-json\/wp\/v2\/posts\/221\/revisions"}],"predecessor-version":[{"id":898,"href":"https:\/\/tantolabels.com\/blog\/wp-json\/wp\/v2\/posts\/221\/revisions\/898"}],"wp:attachment":[{"href":"https:\/\/tantolabels.com\/blog\/wp-json\/wp\/v2\/media?parent=221"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tantolabels.com\/blog\/wp-json\/wp\/v2\/categories?post=221"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tantolabels.com\/blog\/wp-json\/wp\/v2\/tags?post=221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}