Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Validating biogeographical theory for protists: Patterns of diversity and distribution in Europe

PROVIDER: PRJNA671833 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR12905615_1.fastq.gz	Fastqsanger.gz
	SRR12905615_2.fastq.gz	Fastqsanger.gz
	SRR12905616_1.fastq.gz	Fastqsanger.gz
	SRR12905616_2.fastq.gz	Fastqsanger.gz
	SRR12905617_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 48

Similar Datasets

The functional diversity of stream microbes on mountainsides across Eurasia based on Geochip 4.0

Project description:Understanding the biogeographical patterns and underlying drivers of microbial functional diversity is essential for anticipating climate change impacts on ecosystem functioning worldwide. However, this matter remains scarcely addressed in freshwater ecosystems. Using the high-throughput gene array GeoChip 4.0, we show that functional gene alpha diversity and compositon differ across mountains, alpha diversity declines towards high elevations and compositional turnover increases with larger elevational distances. Both continental- and mountain-scale patterns were primarily driven by climatic variables.

2020-06-22 | GSE128826 | GEO

microbial functional genes are fundamentally different from bacterial phylogenetic distributions in arctic soils

Project description:Understanding biological diversity and distribution patterns at multiple spatial scales is a central issue in ecology. Here, we investigated the biogeographical patterns of functional genes in soil microbes from 24 arctic heath sites using GeoChip-based metagenomics and principal coordinates of neighbour matrices (PCNM)-based analysis. Functional gene richness varied considerably among sites, while the proportions of each major functional gene category were evenly distributed. Functional gene composition varied significantly at most medium and broad spatial scales, and the PCNM analyses indicated that 14-20% of the variation in total and major functional gene categories could be attributed primarily to relatively broad-scale spatial effects that were consistent with broad-scale variation in soil pH and total nitrogen. The combination of variance partitioning and multi-scales analysis indicated that spatial distance effects contributed 12% to variation in functional gene composition，whereas environmental factors contributed only 3%. This relatively strong influence of spatial as compared to environmental variation in determining functional gene distributions contrasts sharply with typical microbial phylotype/species-based biogeographical patterns in the Arctic and elsewhere. Our results suggest that the distributions of soil functional genes cannot be predicted from phylogenetic distributions because spatial factors associated with historical contingencies are relatively important determinants of their biogeography.

2014-12-10 | GSE63927 | GEO

Microbial Biogeography of Arctic soils

Project description:Bacterial diversity and biogeographical patterns in Arctic soils

| PRJEB29109 | ENA

Project description:Biogeographical patterns of microorganisms

| PRJNA853515 | ENA

Community composition of nitrous oxide reducing bacteria investigated using a functional gene microarray

Project description:The diversity and environmental distribution of the nosZ gene, which encodes the enzyme responsible for the consumption of nitrous oxide, was investigated in marine and terrestrial environments using a functional gene microarray. The microbial communities represented by the nosZ gene probes showed strong biogeographical separation, with communities from surface ocean waters and agricultural soils significantly different from each other and from those in oceanic oxygen minimum zones. Atypical nosZ genes, usually associated with incomplete denitrification pathways, were detected in all the environments, including surface ocean waters. The abundance of nosZ genes, as estimated by quantitative PCR, was highest in the agricultural soils and lowest in surface ocean waters.

2018-10-19 | GSE121473 | GEO

soil metagenome

Project description:diversity and distribution patterns of ammonia oxidizers

| PRJNA401945 | ENA

Project description:Spatiotemporal patterns of diversity of protists in China offshore area

| PRJNA551318 | ENA

Analysis of diversity in barcoded virus library

Project description:Validating viral barcode diversity

2021-04-22 | GSE149998 | GEO

Analysis of diversity in barcoded plasmid library

Project description:Validating plasmid barcode diversity

2021-04-22 | GSE149994 | GEO