Dataset Information

Metagenome dataset of wheat rhizosphere from Ghazipur region of Eastern Uttar Pradesh.

ABSTRACT: Wheat is the major crop in India and like other crops also subjected to influence by microbial communities of the rhizospheric region which are extremely diverse and undoubtedly play a central role in the nutrient cycle, plant productivity and growth promotion. In order to know how changes in the rhizospheric microbial community can make an impact on overall crop function, wheat rhizospheric soil samples from Ghazipur (25.913824 N 83.529715 E) regions of Eastern Uttar Pradesh (Eastern Indogangatic Plain), were collected and analyzed. Full length 16S rRNA gene amplification sequencing was performed to reveal the bacterial community in wheat rhizosphere. A total of 51,909 read were analyzed, out of that only 44,125 reads were classified and 7784 were unclassified using oxford nanopore sequencing and EPI2ME data analysis platform. MinION oxford nanopore sequencing uncovered that dominant phyla were Proteobacteria (68%), followed by firmicutes (13%), bacteroidetes (3%), actinobacteria (3%) and acidobacteria (3%). The data is available at the NCBI - Sequence Read Archive (SRA) with accession number: SRX5275271.

SUBMITTER: Srivastava R

PROVIDER: S-EPMC6956763 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Metagenome dataset of wheat rhizosphere from Ghazipur region of Eastern Uttar Pradesh.

Srivastava Ruchi R Srivastava Alok K AK Ramteke Promod W PW Gupta Vijai K VK Srivastava Anchal K AK

Data in brief 20200103

Wheat is the major crop in India and like other crops also subjected to influence by microbial communities of the rhizospheric region which are extremely diverse and undoubtedly play a central role in the nutrient cycle, plant productivity and growth promotion. In order to know how changes in the rhizospheric microbial community can make an impact on overall crop function, wheat rhizospheric soil samples from Ghazipur (25.913824 N 83.529715 E) regions of Eastern Uttar Pradesh (Eastern Indogangat ...[more]

PMID: 31956680

Similar Datasets

Project description:BackgroundSalinity is known to affect almost half of the world's irrigated lands, especially rice fields. Furthermore, cyanobacteria, one of the critical inhabitants of rice fields have been characterized at molecular level from many different geographical locations. This study, for the first time, has examined the molecular diversity of cyanobacteria inhabiting Indian rice fields which experience various levels of salinity.ResultsTen physicochemical parameters were analyzed for samples collected from twenty experimental sites. Electrical conductivity data were used to classify the soils and to investigate relationship between soil salinity and cyanobacterial diversity. The cyanobacterial communities were analyzed using semi-nested 16S rRNA gene PCR and denaturing gradient gel electrophoresis. Out of 51 DGGE bands selected for sequencing only 31 which showed difference in sequences were subjected to further analysis. BLAST analysis revealed highest similarity for twenty nine of the sequences with cyanobacteria, and the other two to plant plastids. Clusters obtained based on morphological and molecular attributes of cyanobacteria were correlated to soil salinity. Among six different clades, clades 1, 2, 4 and 6 contained cyanobacteria inhabiting normal or low saline (having EC < 4.0 ds m(-1)) to (high) saline soils (having EC > 4.0 ds m(-1)), however, clade 5 represented the cyanobacteria inhabiting only saline soils. Whilst, clade 3 contained cyanobacteria from normal soils. The presence of DGGE band corresponding to Aulosira strains were present in large number of soil indicating its wide distribution over a range of salinities, as were Nostoc, Anabaena, and Hapalosiphon although to a lesser extent in the sites studied.ConclusionLow salinity favored the presence of heterocystous cyanobacteria, while very high salinity mainly supported the growth of non-heterocystous genera. High nitrogen content in the low salt soils is proposed to be a result of reduced ammonia volatilization compared to the high salt soils. Although many environmental factors could potentially determine the microbial community present in these multidimensional ecosystems, changes in the diversity of cyanobacteria in rice fields was correlated to salinity.

Project description:BackgroundIndia has experienced several waves of migration since the Middle Paleolithic. It is believed that the initial demic movement into India was from Africa along the southern coastal route, approximately 60,000-85,000 years before present (ybp). It has also been reported that there were two other major colonization which included eastward diffusion of Neolithic farmers (Elamo Dravidians) from Middle East sometime between 10,000 and 7,000 ybp and a southern dispersal of Indo Europeans from Central Asia 3,000 ybp. Mongol entry during the thirteenth century A.D. as well as some possible minor incursions from South China 50,000 to 60,000 ybp may have also contributed to cultural, linguistic and genetic diversity in India. Therefore, the genetic affinity and relationship of Indians with other world populations and also within India are often contested. In the present study, we have attempted to offer a fresh and immaculate interpretation on the genetic relationships of different North Indian populations with other Indian and world populations.ResultsWe have first genotyped 20 tetra-nucleotide STR markers among 1800 north Indian samples of nine endogamous populations belonging to three different socio-cultural strata. Genetic distances (Nei's DA and Reynold's Fst) were calculated among the nine studied populations, Caucasians and East Asians. This analysis was based upon the allelic profile of 20 STR markers to assess the genetic similarity and differences of the north Indian populations. North Indians showed a stronger genetic relationship with the Europeans (DA 0.0341 and Fst 0.0119) as compared to the Asians (DA 0.1694 and Fst - 0.0718). The upper caste Brahmins and Muslims were closest to Caucasians while middle caste populations were closer to Asians. Finally, three phylogenetic assessments based on two different NJ and ML phylogenetic methods and PC plot analysis were carried out using the same panel of 20 STR markers and 20 geo-ethnic populations. The three phylogenetic assessments revealed that north Indians are clustering with Caucasians.ConclusionThe genetic affinities of Indians and that of different caste groups towards Caucasians or East Asians is distributed in a cline where geographically north Indians and both upper caste and Muslim populations are genetically closer to the Caucasians.

Dataset Information

Metagenome dataset of wheat rhizosphere from Ghazipur region of Eastern Uttar Pradesh.

Publications

Metagenome dataset of wheat rhizosphere from Ghazipur region of Eastern Uttar Pradesh.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets