Groundnut rhizosphere
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1232925 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Background: The soil environment is responsible for sustaining most terrestrial plant life on earth, yet we know surprisingly little about the important functions carried out by diverse microbial communities in soil. Soil microbes that inhabit the channels of decaying root systems, the detritusphere, are likely to be essential for plant growth and health, as these channels are the preferred locations of new root growth. Understanding the microbial metagenome of the detritusphere and how it responds to agricultural management such as crop rotations and soil tillage will be vital for improving global food production. Methods: The rhizosphere soils of wheat and chickpea growing under + and - decaying root were collected for metagenomics sequencing. A gene catalogue was established by de novo assembling metagenomic sequencing. Genes abundance was compared between bulk soil and rhizosphere soils under different treatments. Conclusions: The study describes the diversity and functional capacity of a high-quality soil microbial metagenome. The results demonstrate the contribution of the microbiome from decaying root in determining the metagenome of developing root systems, which is fundamental to plant growth, since roots preferentially inhabit previous root channels. Modifications in root microbial function through soil management, can ultimately govern plant health, productivity and food security.
2020-03-06 | GSE146427 | GEO
Project description:Impact of Plant Development on Structure and Function of Rhizosphere Microbial Community associated with Groundnut (Arachis hypogaea L.)
| PRJEB31415 | ENA
Project description:Low temperature stress in a number of African countries, such as Botswana, at night can effect the growth and development of bambara groundnut, leading to losses in potential crop yield. Therefore, we made an attempt to identify and analyze the genes and gene modules associated with low temperature stress response in bambara groundnut using the cross-species microarray technique, as bambara groundnut has no microarray chip, coupled with network-based analysis.
2016-02-10 | GSE72255 | GEO
Project description:Low temperature stress in a number of African countries, such as Botswana, at night can effect the growth and development of bambara groundnut, leading to losses in potential crop yield. Therefore, we made an attempt to identify and analyze the genes and gene modules associated with low temperature stress response in bambara groundnut using the cross-species microarray technique, as bambara groundnut has no microarray chip, coupled with network-based analysis.
2016-02-10 | GSE75982 | GEO
Project description:Methylorubrum populi strain:groundnut | isolate:groundnut Genome sequencing
| PRJNA1154441 | ENA
Project description:Bambara groundnut (Vigna subterranea) Chloroplast Genome
| PRJNA1320698 | ENA
Project description:Low temperature stress in a number of African countries, such as Botswana, at night can effect the growth and development of bambara groundnut, leading to losses in potential crop yield. Therefore, we made an attempt to identify and analyze the genes and gene modules associated with low temperature stress response in bambara groundnut using the cross-species microarray technique, as bambara groundnut has no microarray chip, coupled with network-based analysis. Three plants of the bambara groundnut genotype â??S19-3â?? were grown in controlled environment growth rooms at Sutton Bonington Campus, University of Nottingham under a 12 hour photoperiod and at a constant temperature of 27°C. Plants were grown in soil columns containing a growing medium of 1 part John Innes 2 compost to 1 part sand, and were watered as required. A single, fully-expanded leaflet was sampled from each of the three plants growing at 27°C, snap frozen in liquid nitrogen and stored at -80°C. Plants were given a further 3 days at 27°C to recover from sampling before being moved to a controlled environment room at 23°C. On the fifth day at 23°C a single fully-expanded leaflet was sampled and stored, as described above. After 3 further days plants were moved to 18°C, and then five days later were sampled again.
2016-02-10 | E-GEOD-72255 | biostudies-arrayexpress
Project description:Low temperature stress in a number of African countries, such as Botswana, at night can effect the growth and development of bambara groundnut, leading to losses in potential crop yield. Therefore, we made an attempt to identify and analyze the genes and gene modules associated with low temperature stress response in bambara groundnut using the cross-species microarray technique, as bambara groundnut has no microarray chip, coupled with network-based analysis. Two plants of the bambara groundnut genotype âS19-3â were grown in controlled environment growth rooms at Sutton Bonington Campus, University of Nottingham under a 12 hour photoperiod and at a constant temperature of 27°C. Plants were grown in soil columns containing a growing medium of 1 part John Innes 2 compost to 1 part sand, and were watered as required. A single, fully-expanded leaflet was sampled from each of the three plants growing at 27°C, snap frozen in liquid nitrogen and stored at -80°C. Plants were given a further 3 days at 27°C to recover from sampling before being moved to a controlled environment room at 23°C. On the fifth day at 23°C a single fully-expanded leaflet was sampled and stored, as described above. After 3 further days plants were moved to 18°C, and then five days later were sampled again.
2016-02-10 | E-GEOD-75982 | biostudies-arrayexpress
Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method.
2014-09-12 | GSE61338 | GEO
Project description:Kerstings groundnut (Macrotyloma geocarpum) genome
| PRJEB88983 | ENA