Decoding the Peruvian Amazon with in situ DNA barcoding of vertebrate and plant taxa.

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Pamela Sánchez-Vendizú, Gideon Erkenswick, Jhakelin Reyes, Samantha López Clinton, Thalía Silvestre Espejo, Gabriela Cáceres, Zane Libke, Alejandra Arana, Jorge Mendoza-Silva, Cristian Tirapelle, Sean Williams, Varun Swamy, José Martínez-Altamirano, Juan Esteves, Juan P Barnuevo-Bullón, Jacqueline Hernández-Mejía, Xiomara Caffo, Alejandro Mendevil Malpica, Roberto Salazar-Aragón, Leticia Gutiérrez-Jiménez, Jennifer Stabile, Naija Cuzmar, Timothy D Paine, Priscila Peralta-Aguilar, Giancarlo Inga-Díaz, Jesus Lescano, Andrés Viñas-Martínez, Mary E McElroy, Daxs Coayla, Liza-María Linares R, Nicholas W Pilfold, Alexandra J Sacco, Mónica Arakaki, José Luis Mena, Mathias W Tobler, Letty Salinas, César Arana, Víctor Pacheco, Stefan Prost, Mrinalini Watsa
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引用次数: 0

Abstract

Species extinctions in the tropics are accelerating, outpacing documentation efforts. Meanwhile, DNA barcoding is flourishing in the Global North, backed by extensive infrastructure, allowing non-taxonomic experts to identify species from nonlethal, minimally invasive, and environmental samples. However, hyper-diverse regions like Peru make up only 0.52% (n = 93,246) of the Barcode of Life Database (BOLD). To address this, we established three decentralized laboratories with low-cost, portable nanopore sequencers. From 2018-2023, we generated 1,858 barcodes in situ using six genetic markers for 1,097 vertebrates and 76 plants from existing and new biobanks. We present the first genetic barcodes for 30 mammal and 196 bird species from Peruvian specimens, increasing the number of Peruvian mammal and bird species in BOLD by 110% and 36.5% respectively. We also report the first records of the marsupial Marmosops ocellatus and the bat Sturnira lilium for Peru. This dataset represents an effort to go from fresh or museum-preserved samples to barcodes entirely in situ, avoiding the export of samples outside the country, and facilitating local capacity in molecular biodiversity research.

Abstract Image

Abstract Image

Abstract Image

用脊椎动物和植物分类群的原位DNA条形码解码秘鲁亚马逊雨林。
热带地区的物种灭绝正在加速,超过了记录工作的速度。与此同时,DNA条形码在全球北方蓬勃发展,有广泛的基础设施支持,允许非分类学专家从非致命性、微创性和环境样本中识别物种。然而,像秘鲁这样高度多样化的地区只占生命条形码数据库(BOLD)的0.52% (n = 93246)。为了解决这个问题,我们建立了三个分散的实验室,配备了低成本、便携式纳米孔测序仪。从2018年到2023年,我们利用六种遗传标记,在现有和新的生物库中为1097种脊椎动物和76种植物生成了1858个原位条形码。我们首次获得了秘鲁标本中30种哺乳动物和196种鸟类的遗传条形码,使BOLD中秘鲁哺乳动物和鸟类的数量分别增加了110%和36.5%。我们还报道了秘鲁有袋动物Marmosops ocellatus和蝙蝠Sturnira lilium的首次记录。该数据集代表了从新鲜或博物馆保存的样本到完全原位条形码的努力,避免了样本出口到国外,并促进了当地分子生物多样性研究的能力。
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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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