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Pesquisa Agropecuária Brasileira
Article . 2009
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DNA barcodes for soil animal taxonomy Código de barras de DNA para a taxonomia de animais do solo

Authors: Rodolphe Rougerie; Thibaud Decaëns; Louis Deharveng; David Porco; Sam W. James; Chih-Han Chang; Benoit Richard; +3 Authors

DNA barcodes for soil animal taxonomy Código de barras de DNA para a taxonomia de animais do solo

Abstract

The biodiversity of soil communities remains very poorly known and understood. Soil biological sciences are strongly affected by the taxonomic crisis, and most groups of animals in that biota suffer from a strong taxonomic impediment. The objective of this work was to investigate how DNA barcoding - a novel method using a microgenomic tag for species identification and discrimination - permits better evaluation of the taxonomy of soil biota. A total of 1,152 barcode sequences were analyzed for two major groups of animals, collembolans and earthworms, which presented broad taxonomic and geographic sampling. Besides strongly reflecting the taxonomic impediment for both groups, with a large number of species-level divergent lineages remaining unnamed so far, the results also highlight a high level (15%) of cryptic diversity within known species of both earthworms and collembolans. These results are supportive of recent local studies using a similar approach. Within an impeded taxonomic system for soil animals, DNA-assisted identification tools can facilitate and improve biodiversity exploration and description. DNA-barcoding campaigns are rapidly developing in soil animals and the community of soil biologists is urged to embrace these methods.A biodiversidade das comunidades do solo continua muito pouco conhecida e entendida. A biologia do solo é fortemente afetada pela crise taxonômica, e a maior parte dos grupos de animais dessa biota sofre forte impedimento taxonômico. O objetivo deste trabalho foi determinar como o código de barras de DNA - um método novo que usa uma etiqueta microgenômica para identificação e discriminação de espécies - permite uma melhor avaliação da taxonomia da biota edáfica. Foram analisadas 1.152 sequências de códigos de barras de dois grupos principais de animais, colêmbolos e minhocas, que apresentaram ampla amostragem taxonômica e geográfica. Além de refletir fortemente o impedimento taxonômico de ambos os grupos, com um grande número de linhagens divergentes no nível da espécie que ainda não está descrita, os resultados também destacam um alto (15%) nível de diversidade críptica dentro de espécies conhecidas de minhocas e colêmbolos. Esses resultados apóiam estudos locais recentes que usaram métodos similares. Considerando as dificuldades taxonômicas enfrentadas para identificar os animais de solo, ferramentas de identificação usando DNA podem facilitar e melhorar a exploração da biodiversidade e a sua descrição. As campanhas de código de barras de DNA estão se desenvolvendo rapidamente com animais do solo, e a comunidade de biólogos é incitada a adotar esses métodos.

Keywords

crise taxonômica, cryptic diversity, diversidade críptica, Agriculture (General), species identification, impedimento taxonômico, taxonomic impediment, identificação de espécies, S1-972, código de barras de DNA, Collembola, DNA barcoding, Oligochaeta, taxonomic crisis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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