Bolson Mônica, Smidt Eric de Camargo, Brotto Marcelo Leandro, Silva-Pereira Viviane
Departamento de Botânica, Setor de Ciências Biológicas, Universidade Federal do Paraná, Curitiba, Paraná, Brazil.
Museu Botânico Municipal de Curitiba, Curitiba, Paraná, Brazil.
PLoS One. 2015 Dec 2;10(12):e0143049. doi: 10.1371/journal.pone.0143049. eCollection 2015.
The Araucaria Forests in southern Brazil are part of the Atlantic Rainforest, a key hotspot for global biodiversity. This habitat has experienced extensive losses of vegetation cover due to commercial logging and the intense use of wood resources for construction and furniture manufacturing. The absence of precise taxonomic tools for identifying Araucaria Forest tree species motivated us to test the ability of DNA barcoding to distinguish species exploited for wood resources and its suitability for use as an alternative testing technique for the inspection of illegal timber shipments. We tested three cpDNA regions (matK, trnH-psbA, and rbcL) and nrITS according to criteria determined by The Consortium for the Barcode of Life (CBOL). The efficiency of each marker and selected marker combinations were evaluated for 30 commercially valuable woody species in multiple populations, with a special focus on Lauraceae species. Inter- and intraspecific distances, species discrimination rates, and ability to recover species-specific clusters were evaluated. Among the regions and different combinations, ITS was the most efficient for identifying species based on the 'best close match' test; similarly, the trnH-psbA + ITS combination also demonstrated satisfactory results. When combining trnH-psbA + ITS, Maximum Likelihood analysis demonstrated a more resolved topology for internal branches, with 91% of species-specific clusters. DNA barcoding was found to be a practical and rapid method for identifying major threatened woody angiosperms from Araucaria Forests such as Lauraceae species, presenting a high confidence for recognizing members of Ocotea. These molecular tools can assist in screening those botanical families that are most targeted by the timber industry in southern Brazil and detecting certain species protected by Brazilian legislation and could be a useful tool for monitoring wood exploitation.
巴西南部的南洋杉林是大西洋雨林的一部分,而大西洋雨林是全球生物多样性的关键热点地区。由于商业伐木以及建筑和家具制造对木材资源的大量使用,该栖息地的植被覆盖面积大幅减少。缺乏用于识别南洋杉林树种的精确分类工具促使我们测试DNA条形码区分用于木材资源的物种的能力,以及其作为检查非法木材运输的替代检测技术的适用性。我们根据生命条形码联盟(CBOL)确定的标准,测试了三个叶绿体DNA区域(matK、trnH-psbA和rbcL)以及nrITS。对多个种群中的30种具有商业价值的木本物种评估了每个标记及选定标记组合的效率,特别关注樟科物种。评估了种间和种内距离、物种鉴别率以及恢复物种特异性聚类的能力。在这些区域和不同组合中,基于“最佳匹配”测试,ITS在识别物种方面效率最高;同样,trnH-psbA + ITS组合也显示出令人满意的结果。当结合trnH-psbA + ITS时,最大似然分析显示内部分支的拓扑结构更清晰,有91%的物种特异性聚类。结果发现,DNA条形码是识别南洋杉林主要受威胁木本被子植物(如樟科物种)的实用且快速的方法,对识别月桂属成员具有很高的置信度。这些分子工具可协助筛选巴西南部木材行业最感兴趣的植物科,并检测巴西立法保护的某些物种,可能是监测木材采伐的有用工具。