<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gibson, Joel F.</style></author><author><style face="normal" font="default" size="100%">Shokralla, Shadi</style></author><author><style face="normal" font="default" size="100%">Curry, Colin</style></author><author><style face="normal" font="default" size="100%">Baird, Donald J.</style></author><author><style face="normal" font="default" size="100%">Monk, Wendy A.</style></author><author><style face="normal" font="default" size="100%">King, Ian</style></author><author><style face="normal" font="default" size="100%">Hajibabaei, Mehrdad</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Large-scale biomonitoring of remote and threatened ecosystems via high-throughput sequencing</style></title><secondary-title><style face="normal" font="default" size="100%">PLOS ONE</style></secondary-title><short-title><style face="normal" font="default" size="100%">PLoS ONE</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">anthropogenic stressors</style></keyword><keyword><style  face="normal" font="default" size="100%">biodiversity metrics</style></keyword><keyword><style  face="normal" font="default" size="100%">DNA sequencing</style></keyword><keyword><style  face="normal" font="default" size="100%">environmental monitoring</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2015</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0138432</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">e0138432</style></pages><language><style face="normal" font="default" size="100%">eng </style></language><abstract><style face="normal" font="default" size="100%">Biodiversity metrics are critical for assessment and monitoring of ecosystems threatened by anthropogenic stressors. Existing sorting and identification methods are too expensive and labour-intensive to be scaled up to meet management needs. Alternately, a high-throughput DNA sequencing approach could be used to determine biodiversity metrics from bulk environmental samples collected as part of a large-scale biomonitoring program. Here we show that both morphological and DNA sequence-based analyses are suitable for recovery of individual taxonomic richness, estimation of proportional abundance, and calculation of biodiversity metrics using a set of 24 benthic samples collected in the Peace-Athabasca Delta region of Canada. The high-throughput sequencing approach was able to recover all metrics with a higher degree of taxonomic resolution than morphological analysis. The reduced cost and increased capacity of DNA sequence-based approaches will finally allow environmental monitoring programs to operate at the geographical and temporal scale required by industrial and regulatory end-users.</style></abstract><issue><style face="normal" font="default" size="100%">10</style></issue><custom2><style face="normal" font="default" size="100%">Peace-Athabasca Delta, Athabasca River, Peace River, Birch River, Wood Buffalo National Park</style></custom2><custom3><style face="normal" font="default" size="100%">http://www.worldcat.org/oclc/5899244689</style></custom3></record></records></xml>