Sacred Groves Banaskantha
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ABSTRACT:
PROVIDER: PRJEB39235 | ENA |
REPOSITORIES: ENA
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Project description:Explore the Microbial diversity from Sacred Groves
| PRJEB39307 | ENA
Project description:This study derive the exploration microbial diversity from Sacred groves
| PRJEB39294 | ENA
Project description:Bacillus spp. and related genera native to soils of the pristine sacred groves from Meghalaya, India were characterized using biochemical and 16S rRNA gene analysis which revealed dominance of Bacillus, Paenibacillus, Lysinibacillus and Viridibacillus in the groves. Biochemical estimation was carried out for in vitro testing of plant growth promoting traits present in these isolates. PCR screening were performed for plant growth-promoting related genes involved in the biosynthesis of acid phosphatase (AcPho), indolepyruvate decarboxylase (ipdC), 1-aminocyclopropane-1-carboxylate deaminase (accd) and siderophore biosynthesis protein (asbA). 76% of the sacred grove isolates gave an amplified fragment for AcPho. Three of the isolates gave an amplified fragment for IpdC gene. Apart from 2 isolates, all the other isolates including the reference strains were positive for the amplification of the accd gene indicating their potential to produce ACC deaminase enzyme. 42% of the isolates gave an amplified fragment for asbA gene indicating the potential ability of these isolates to produce the catechol type siderophore, petrobactin. Overall findings indicated multiple PGP genetic traits present in these isolates which suggested that these isolates are capable of expressing multiple PGP traits. Phylogenetic and sequence analysis of accd and asbA genes from the isolates revealed that asbA genes from Paenibacillus taichungiensis SG3 and Paenibacillus tylopili SG24 indicated the occurrence of intergeneric horizontal transfer between Paenibacillus and Bacillus.
| S-EPMC4844137 | biostudies-literature
Project description:This study presents the complete genome sequence of Streptomyces californicus TBG-201 isolated from the soil samples of Vandanam sacred groves in Alleppey District, Kerala, India. The organism has potent chitinolytic activity. The genome of S. californicus TBG-201 was sequenced using the Illumina HiSeq-2500 platform with 2 × 150bp pair-end protocol and assembled using Velvet version 1.2.10.0. The assembled genome has a 7.99 Mb total length, a G+C content of 72.60%, and 6683 protein-coding genes, 116 pseudogenes, 31 rRNAs, and 66 tRNAs. AntiSMASH analysis revealed abundant biosynthetic gene clusters, while the dbCAN meta server was used to detect carbohydrate-active enzyme coding genes. The NCBI Prokaryotic Genome Annotation Pipeline was used for genome annotation. The presence of numerous genes coding for chitin degradation indicates the chitinolytic ability of this strain. The genome data have been deposited in NCBI with the accession number JAJDST000000000.
| S-EPMC10293955 | biostudies-literature
Project description:To effectively monitor microbial populations in acidic environments and bioleaching systems, a comprehensive 50-mer-based oligonucleotide microarray was developed based on most of the known genes associated with the acidophiles. This array contained 1,072 probes in which there were 571 related to 16S rRNA and 501 related to functional genes. Acid mine drainage (AMD) presents numerous problems to the aquatic life and surrounding ecosystems. However, little is known about the geographic distribution, diversity, composition, structure and function of AMD microbial communities. In this study, we analyzed the geographic distribution of AMD microbial communities from twenty sites using restriction fragment length polymorphism (RFLP) analysis of 16S rRNA genes, and the results showed that AMD microbial communities were geographically distributed and had high variations among different sites. Then an AMD-specific microarray was used to further analyze nine AMD microbial communities, and showed that those nine AMD microbial communities had high variations measured by the number of detected genes, overlapping genes between samples, unique genes, and diversity indices. Statistical analyses indicated that the concentrations of Fe, S, Ca, Mg, Zn, Cu and pH had strong impacts on both phylogenetic and functional diversity, composition, and structure of AMD microbial communities. This study provides insights into our understanding of the geographic distribution, diversity, composition, structure and functional potential of AMD microbial communities and key environmental factors shaping them. This study investigated the geographic distribution of Acid Mine Drainages microbial communities using a 16S rRNA gene-based RFLP method and the diversity, composition and structure of AMD microbial communities phylogenetically and functionally using an AMD-specific microarray which contained 1,072 probes ( 571 related to 16S rRNA and 501 related to functional genes). The functional genes in the microarray were involved in carbon metabolism (158), nitrogen metabolism (72), sulfur metabolism (39), iron metabolism (68), DNA replication and repair (97), metal-resistance (27), membrane-relate gene (16), transposon (13) and IST sequence (11).
2011-03-08 | E-GEOD-27542 | biostudies-arrayexpress
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. Three groups of samples, A, B and C. Every group has 3 replicates.
2016-08-02 | E-GEOD-85064 | biostudies-arrayexpress
Project description:Samples of oil and production water were collected from five wells of the Qinghai Oilfield, China, and subjected to GeoChip hybridization experiments for microbial functional diversity profiling. Unexpectedly, a remarkable microbial diversity in oil samples, which was higher than that in the corresponding water samples, was observed, thus challenging previously believed assumptions about the microbial diversity in this ecosystem. Hierarchical clustering separated oil and water samples, thereby indicating distinct functional structures in the samples. Genes involved in the degradation of hydrocarbons, organic remediation, stress response, and carbon cycling were significantly abundant in crude oil, which is consistent with their important roles in residing in oil. Association analysis with environmental variables suggested that oil components comprising aromatic hydrocarbons, aliphatic hydrocarbons, and a polar fraction with nitrogen-, sulfur-, and oxygen-containing compounds were mainly influential on the structure of the microbial community. Furthermore, a comparison of microbial communities in oil samples indicated that the structures were depth/temperature-dependent. To our knowledge, this is the first thorough study to profile microbial functional diversity in crude oil samples. From the Qinghai Oilfield located in the Tibetan Plateau, northwest China, oil production mixtures were taken from four oil production wells (No. 813, 516, 48 and 27) and one injection well (No. 517) in the Yue-II block. The floating oil and water phases of the production mixtures were separated overnight by gravitational separation. Subsequently, the microbial community and the characteristics of the water solution (W813, W516, W48, and W27) and floating crude oil (O813, O516, O48, and O27) samples were analyzed. A similar analysis was performed with the injection water solution (W517).
2016-04-01 | E-GEOD-55293 | biostudies-arrayexpress
Project description: Not available
| S-EPMC1747591 | biostudies-literature