Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Antimony and arsenic co-contaminated river sedimentary microbial community in an antimony-contaminated river

ABSTRACT: antimony and arsenic co-contaminated river sedimentary microbial community in an antimony-contaminated river Raw sequence reads

PROVIDER: PRJNA554201 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Arsenic contaminated soil

Project description:Bacterial community in arsenic contaminated soil

| PRJNA432647 | ENA

Arsenic contaminated groundwater

Project description:Arsenic contaminated groundwater Raw sequence reads

| PRJNA481093 | ENA

arsenic and antimony co-contamination on sedimentary microbial communities in rivers with different pollution gradients

Project description:arsenic and antimony co-contamination on sedimentary microbial communities in rivers with different pollution gradients Raw sequence reads

| PRJNA497181 | ENA

microbials in antimony contaminated rice paddies

Project description:microbials in antimony contaminated rice paddies Raw sequence reads

| PRJNA557273 | ENA

Italian groundwaters contaminated with arsenic

Project description:Microbial arsenic cycling in Italian contaminated groundwaters

| PRJNA507727 | ENA

Whole genome transcriptional analysis in rice-stem during dough stage induced by arsenic contaminated soil and irrigation water

Project description:RNA from stem containing first node and internodes during dough stage was considered for the above purpose. Satabdi, (popularly known as Minikit) most popular cultivar of West Bengal and Palman, another high yielding variety were considered for microarray analysis for comparison to each other. Two rice genotypes were grown in identical conditions (same field with contaminated ground water) to obtain the most meaningful conclusion. Dough stage was considered as variation in arsenic accumulation among the genotypes starts during dough stage to maturity. Plant tissues were collected from stem for transcriptomic analysis as expression profiling of such tissue in response to arsenic would be most useful as arsenic transport/loading in grain was assumed to be controlled by arsenic translocation behavior at inter vascular level or from xylem to phloem. Satabdi accumulates more than twice of arsenic in brown rice (0.346 mg/kg) than that of Palman (0.156 mg/kg) whereas accumulation in straw (2.07 mg/kg) was approximately less than half of the Palman (4.491 mg/kg)

2014-01-17 | E-MTAB-2106 | biostudies-arrayexpress

Project description:Arsenic contamination of drinking water occurs globally and is associated with numerous diseases including skin, lung, and bladder cancers, and cardiovascular disease. The mechanisms behind arsenic's effects remain unclear, but recent research indicates that aresnic acts along sex-specific lines and may be an endocrine disruptor. The objective of this study was to evaluate the nature of gene expression chagnes among males and females exposed to arsenic contaminated water in Bangladesh at high and low dose exposures.The median wAs concentration for the low exposure group was 103 µg/L for males and 117 µg/L for females (range 50–200 µg/L). For the high exposure group, the median wAs concentration was 355 µg /L for males (range 250-500 µg /L) and 434 µg/L for females (range 232–1000 µg /L). The PBMCs of males with high exposure compared to those with low exposure there were 534 differentially expressed genes (p <0.05); and for females with high exposure relative to low exposure there were 645 differentially expressed genes (p <0.05) in PBMCs of females.

2015-06-01 | GSE57711 | GEO

Study of microbial functional structure in Xiangjiang River sediment

Project description:Xiangjiang River (Hunan, China) has been contaminated with heavy metal for several decades by surrounding factories. However, little is known about the influence of a gradient of heavy metal contamination on the diversity, structure of microbial functional gene in sediment. To deeply understand the impact of heavy metal contamination on microbial community, a comprehensive functional gene array (GeoChip 5.0) has been used to study the functional genes structure, composition, diversity and metabolic potential of microbial community from three heavy metal polluted sites of Xiangjiang River.

2016-08-02 | GSE85064 | GEO

Microbial adaptation in vertical soil profiles contaminated by antimony smelting plant

Project description:Microbial adaptation in vertical soil profiles contaminated by antimony smelting plant Raw sequence reads

| PRJNA634794 | ENA

Study of microbial functional structure in Xiangjiang River sediment

2016-08-02 | E-GEOD-85064 | biostudies-arrayexpress