Ontology highlight
ABSTRACT:
PROVIDER: PRJNA926108 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR23230400_1.fastq.gz | Fastqsanger.gz | |||
| SRR23230400_2.fastq.gz | Fastqsanger.gz | |||
| SRR23230401_1.fastq.gz | Fastqsanger.gz | |||
| SRR23230401_2.fastq.gz | Fastqsanger.gz | |||
| SRR23230402_1.fastq.gz | Fastqsanger.gz |
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Project description:<p>The biogeography of tropical Andean plants and the effects of altitudinal barriers as evolutionary constraints have been the focus of great debate. Although genetic markers have provided evidence for the geographic isolation of Andean-endemic groups, even highly variable molecular markers commonly used to assess biogeography do not have the resolving power needed for a fine geographic discrimination in some Andean taxa. We present a metabolomics approach based on ultrahigh-performance liquid chromatography-mass spectrometry combined with multivariate statistical methods and machine learning algorithms of multiple species and populations of Espeletiinae (Asteraceae) to provide metabolomic evidence for biogeographic segregation in this Andean-endemic subtribe. Our approach allows the discrimination of Espeletiinae taxa at different geographic scales with characteristic metabolic fingerprints related to their country of origin on a global scale, to their páramo massifs on a regional scale and to their páramo complexes on a local scale, revealing inter- and intraspecific metabolic variations. Our results, together with previous studies, suggest that Andean geography and Pleistocene glacial cycles not only shaped the evolutionary history of Espeletiinae but also its metabolic fingerprints, demonstrating the potential of metabolomics for understanding biogeographic patterns in recently diversified plant groups where genetic divergence is still at an early stage.</p><p><br></p><p><strong>Intraspecific chemical variability assay</strong> protocols and data are reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS943' rel='noopener noreferrer' target='_blank'><strong>MTBLS943</strong></a>.</p><p>I<strong>nterspecific chemical variability assay</strong> protocols and data are reported in study <a href='https://www.ebi.ac.uk/metabolights/MTBLS944' rel='noopener noreferrer' target='_blank'><strong>MTBLS944</strong></a>.</p>
2020-03-24 | MTBLS943 | MetaboLights
Project description:<p>The biogeography of tropical Andean plants and the effects of altitudinal barriers as evolutionary constraints have been the focus of great debate. Although genetic markers have provided evidence for the geographic isolation of Andean-endemic groups, even highly variable molecular markers commonly used to assess biogeography do not have the resolving power needed for a fine geographic discrimination in some Andean taxa. We present a metabolomics approach based on ultrahigh-performance liquid chromatography-mass spectrometry combined with multivariate statistical methods and machine learning algorithms of multiple species and populations of Espeletiinae (Asteraceae) to provide metabolomic evidence for biogeographic segregation in this Andean-endemic subtribe. Our approach allows the discrimination of Espeletiinae taxa at different geographic scales with characteristic metabolic fingerprints related to their country of origin on a global scale, to their páramo massifs on a regional scale and to their páramo complexes on a local scale, revealing inter- and intraspecific metabolic variations. Our results, together with previous studies, suggest that Andean geography and Pleistocene glacial cycles not only shaped the evolutionary history of Espeletiinae but also its metabolic fingerprints, demonstrating the potential of metabolomics for understanding biogeographic patterns in recently diversified plant groups where genetic divergence is still at an early stage.</p><p><br></p><p><strong>Interspecific chemical variability assay</strong> protocols and data are reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS944' rel='noopener noreferrer' target='_blank'><strong>MTBLS944</strong></a>.</p><p><strong>Intraspecific chemical variability assay</strong> protocols and data are reported in study <a href='https://www.ebi.ac.uk/metabolights/MTBLS943' rel='noopener noreferrer' target='_blank'><strong>MTBLS943</strong></a>.</p>
2020-03-24 | MTBLS944 | MetaboLights
Project description:The history of click-speaking Khoe-San, and African populations in general, remains poorly understood. We genotyped ~2.3 million SNPs in 220 southern Africans and found that the Khoe-San diverged from other populations at least 100,000 years ago, but structure within the Khoe-San dated back to about 35,000 years ago. Genetic variation in various sub-Saharan populations did not localize the origin of modern humans to a single geographic region within Africa, instead, it indicated a history of admixture and stratification. We found evidence of adaptation targeting muscle function and immune response, potential adaptive introgression of UV-light protection, and selection predating modern human diversification involving skeletal and neurological development. These new findings illustrate the importance of African genomic diversity in understanding human evolutionary history .220 samples were analysed with the Illumina HumanOmni2.5-Quad BeadChip and are described herein.
2012-09-22 | E-MTAB-1259 | biostudies-arrayexpress