Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 4 de 4
Filtrar
Mais filtros

Base de dados
Tipo de documento
Intervalo de ano de publicação
1.
Proc Biol Sci ; 282(1798): 20141416, 2015 Jan 07.
Artigo em Inglês | MEDLINE | ID: mdl-25429013

RESUMO

Adaptive radiations are of particular interest owing to what they reveal about the ecological and evolutionary regulation of biodiversity. This applies to localized island radiations such as Darwin's finches, and also to rapid radiations occurring on a global scale. Here we analyse the macroevolution and macroecology of Pheidole, a famously hyperdiverse and ecologically dominant ant genus. We generate and analyse four novel datasets: (i) a robust global phylogeny including 285 Pheidole species, (ii) a global database on regional Pheidole richness in 365 political areas summarizing over 97 000 individual records from more than 6500 studies, (iii) a global database of Pheidole richness from 3796 local communities and (iv) a database of Pheidole body sizes across species. Analysis of the potential climate drivers of richness revealed that the patterns are statistically very similar across different biogeographic regions, with both regional and local richness associated with the same coefficients of temperature and precipitation. This similarity occurs even though phylogenetic analysis shows that Pheidole reached dominance in communities through serial localized radiations into different biomes within different continents and islands. Pheidole body size distributions have likewise converged across geographical regions. We propose these cases of convergence indicate that the global radiation of Pheidole is structured by deterministic factors regulating diversification and diversity.


Assuntos
Formigas/classificação , Formigas/genética , Ecossistema , Filogenia , Distribuição Animal , Animais , Biodiversidade , Evolução Biológica , Tamanho Corporal , Clima , Proteínas de Insetos/genética , Proteínas de Insetos/metabolismo , Dados de Sequência Molecular , Análise de Sequência de DNA
2.
Proc Natl Acad Sci U S A ; 108(32): 13177-82, 2011 Aug 09.
Artigo em Inglês | MEDLINE | ID: mdl-21788523

RESUMO

Deep-sea floors represent one of the largest and most complex ecosystems on Earth but remain essentially unexplored. The vastness and remoteness of this ecosystem make deep-sea sampling difficult, hampering traditional taxonomic observations and diversity assessment. This problem is particularly true in the case of the deep-sea meiofauna, which largely comprises small-sized, fragile, and difficult-to-identify metazoans and protists. Here, we introduce an ultra-deep sequencing-based metagenetic approach to examine the richness of benthic foraminifera, a principal component of deep-sea meiofauna. We used Illumina sequencing technology to assess foraminiferal richness in 31 unsieved deep-sea sediment samples from five distinct oceanic regions. We sequenced an extremely short fragment (36 bases) of the small subunit ribosomal DNA hypervariable region 37f, which has been shown to accurately distinguish foraminiferal species. In total, we obtained 495,978 unique sequences that were grouped into 1,643 operational taxonomic units, of which about half (841) could be reliably assigned to foraminifera. The vast majority of the operational taxonomic units (nearly 90%) were either assigned to early (ancient) lineages of soft-walled, single-chambered (monothalamous) foraminifera or remained undetermined and yet possibly belong to unknown early lineages. Contrasting with the classical view of multichambered taxa dominating foraminiferal assemblages, our work reflects an unexpected diversity of monothalamous lineages that are as yet unknown using conventional micropaleontological observations. Although we can only speculate about their morphology, the immense richness of deep-sea phylotypes revealed by this study suggests that ultra-deep sequencing can improve understanding of deep-sea benthic diversity considered until now as unknowable based on a traditional taxonomic approach.


Assuntos
Biodiversidade , Código de Barras de DNA Taxonômico/métodos , Foraminíferos/classificação , Foraminíferos/genética , Sedimentos Geológicos/parasitologia , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Filogenia , Sequência de Bases , Geografia , Oceanos e Mares
3.
J Eukaryot Microbiol ; 57(2): 197-205, 2010.
Artigo em Inglês | MEDLINE | ID: mdl-20113377

RESUMO

Ribosomal DNA (rDNA) sequences have been shown to be very useful for identification of microbial eukaryotes. Usually, complete or long partial sequences of the rDNA genes are analysed. However, the development of new massive sequencing technologies producing a large amount of relatively short sequences raises the question about the minimum length of rDNA fragments necessary for species distinction in environmental sampling. To answer this question, we compared six variable regions of the small subunit (SSU) rDNA of foraminifera, known to have rapidly evolving ribosomal genes. For each region, we analysed (1) the sequence divergence between and within foraminiferal morphospecies, (2) the intraspecific polymorphism, and (3) the ability of each region to recognize the phylotypes inferred from analysis of a longer fragment. Our results show that although the variable regions differ considerably between taxonomic groups, most of them perform very well as species identifiers. Taking into account different analyses, the expansion segment of Helix 37 appears to be the best candidate for barcoding foraminifera. We propose that this relatively short region, averaging 50-60 nt in length, could be an ideal barcode for identification of foraminifera in environmental samples using massive sequencing approach.


Assuntos
DNA de Protozoário/genética , DNA Ribossômico/genética , Foraminíferos/classificação , Foraminíferos/genética , RNA Ribossômico 18S/genética , Análise de Sequência de DNA/métodos , Análise por Conglomerados , DNA de Protozoário/química , DNA Ribossômico/química , Genes de RNAr , Filogenia , RNA de Protozoário/genética
4.
PLoS One ; 6(4): e18169, 2011 Apr 04.
Artigo em Inglês | MEDLINE | ID: mdl-21483744

RESUMO

BACKGROUND: The deep sea floor is considered one of the most diverse ecosystems on Earth. Recent environmental DNA surveys based on clone libraries of rRNA genes confirm this observation and reveal a high diversity of eukaryotes present in deep-sea sediment samples. However, environmental clone-library surveys yield only a modest number of sequences with which to evaluate the diversity of abyssal eukaryotes. METHODOLOGY/PRINCIPAL FINDINGS: Here, we examined the richness of eukaryotic DNA in deep Arctic and Southern Ocean samples using massively parallel sequencing of the 18S ribosomal RNA (rRNA) V9 hypervariable region. In very small volumes of sediments, ranging from 0.35 to 0.7 g, we recovered up to 7,499 unique sequences per sample. By clustering sequences having up to 3 differences, we observed from 942 to 1756 Operational Taxonomic Units (OTUs) per sample. Taxonomic analyses of these OTUs showed that DNA of all major groups of eukaryotes is represented at the deep-sea floor. The dinoflagellates, cercozoans, ciliates, and euglenozoans predominate, contributing to 17%, 16%, 10%, and 8% of all assigned OTUs, respectively. Interestingly, many sequences represent photosynthetic taxa or are similar to those reported from the environmental surveys of surface waters. Moreover, each sample contained from 31 to 71 different metazoan OTUs despite the small sample volume collected. This indicates that a significant faction of the eukaryotic DNA sequences likely do not belong to living organisms, but represent either free, extracellular DNA or remains and resting stages of planktonic species. CONCLUSIONS/SIGNIFICANCE: In view of our study, the deep-sea floor appears as a global DNA repository, which preserves genetic information about organisms living in the sediment, as well as in the water column above it. This information can be used for future monitoring of past and present environmental changes.


Assuntos
Biodiversidade , Eucariotos/classificação , Eucariotos/genética , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Análise de Sequência de RNA/métodos , Animais , Sedimentos Geológicos , Oceanos e Mares , RNA Ribossômico 18S/genética
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA