Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1131189 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR29749074_1.fastq.gz | Fastqsanger.gz | |||
| SRR29749074_2.fastq.gz | Fastqsanger.gz | |||
| SRR29749075_1.fastq.gz | Fastqsanger.gz | |||
| SRR29749075_2.fastq.gz | Fastqsanger.gz | |||
| SRR29749076_1.fastq.gz | Fastqsanger.gz |
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Project description:Intercropping is a vital technology in resource-limited agricultural systems with low inputs. Peanut/maize intercropping enhances iron (Fe) nutrition in calcareous soil. Proteomic studies of the differences in peanut leaves, maize leaves and maize roots between intercropping and monocropping systems indicated that peanut/maize intercropping not only improves Fe availability in the rhizosphere but also influences the levels of proteins related to carbon and nitrogen metabolism. Moreover, intercropping may enhance stress resistance in the peanut plant (Xiong et al. 2013b). Although the mechanism and molecular ecological significance of peanut/maize intercropping have been investigated, little is known about the genes and/or gene products in peanut and maize roots that mediate the benefits of intercropping. In the present study, we investigated the transcriptomes of maize roots grown in intercropping and monocropping systems by microarray analysis. The results enabled exploration differentially expressed genes in intercropped maize. Peanut (Arachis hypogaea L. cv. Luhua14) and maize (Zea mays L. cv. Nongda108) seeds were grown in calcareous sandy soil in a greenhouse. The soil was enhanced with basal fertilizers [composition (mg·kg−1 soil): N, 100 (Ca (NO3)2·4H2O); P, 150 (KH2PO4); K, 100 (KCl); Mg, 50 (MgSO4·7H2O); Cu, 5 (CuSO4·5H2O); and Zn, 5 (ZnSO4·7H2O)]. The experiment consisted of three cropping treatments: peanut monocropping, maize monocropping and intercropping of peanut and maize. After germination of peanut for 10 days, maize was sown. Maize samples were harvested after 63 days of growth of peanut plants based on the degree of Fe chlorosis in the leaves of monocropped peanut. The leaves of monocropped peanut plants exhibited symptoms of Fe-deficiency chlorosis at 63 days, while the leaves of peanut plants intercropped with maize maintained a green color.
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Project description:To identify genes that are drought-responsive we conducted drought (soil water depletion) experiments on 3-month-old *P*. *trichocarpa *clonal plants. The plants undergo five different stages based on the appearance of their shoots and leaves during the drought experiments. Stage I: The shoot and leaves are green, and the leaves are well-spread. Stage II: The leaves are droopy. Stage III: The shoot is droopy, and the leaves are partially dry. Stage IV: The leaves are brown and totally dry. Stage V: The shoot is brown. With fully irrigation, the soil water content is 74% and the xylem water content is 80.6%. Plants in Stage III (Day 5) are under a mild drought state. The soil and xylem water content in Stage III dropped to 33% and 75.3%, respectively. Stage IV (Day 6-10) is a severe drought state where the soil and xylem water content continued decreasing to 29% and 74.3%, respectively in Day 7. The stressed plants from Stage I-IV could all recover in 3 days after rehydration, but the plants in Stage V could not recover after rehydration.
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Project description:Because of severe abiotic limitations, Antarctic soils represent simplified ecosystems, where microorganisms are the principle drivers of nutrient cycling. This relative simplicity makes these ecosystems particularly vulnerable to perturbations, like global warming, and the Antarctic Peninsula is among the most rapidly warming regions on the planet. However, the consequences of the ongoing warming of Antarctica on microorganisms and the processes they mediate are unknown. Here, using 16S rRNA gene pyrosequencing and qPCR, we report a number of highly consistent changes in microbial community structure and abundance across very disparate sub-Antarctic and Antarctic environments following three years of experimental field warming (+ 0.5-2°C). Specifically, we found significant increases in the abundance of fungi and bacteria and in the Alphaproteobacteria-to-Acidobacteria ratio. These alterations were linked to a significant increase in soil respiration. Furthermore, the shifts toward generalist or opportunistic bacterial communities following warming weakened the linkage between bacterial diversity and functional diversity. Warming also increased the abundance of some organisms related to the N-cycle, detected as an increase in the relative abundance of nitrogenase genes via GeoChip microarray analyses. Our results demonstrate that soil microorganisms across a range of sub-Antarctic and Antarctic environments can respond consistently and rapidly to increasing temperatures, thereby potentially disrupting soil functioning.
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Project description:Comparison of gene expression profiles of widespread peanut cultivars for exploring the expression data in pod and leaf with regard to signatures of artificial selection We investigated the overall expression by hybridizing the microarray (GPL13178) with RNA samples from pods and leaves of five selected representative peanut varieties (Fuhuasheng, Shitouqi, Yueyou116, Shanyou523, and Yueyou7), which were widely cultivated in different periods of the past fifty years in southern China. We used the RNA sample from Yueyou7 pod as a reference for all the pod hybridizations, and used the Yueyou7 leaf sample as a reference for all the leaf hybridizations. Field grown plants under normal irrigation were used for sample collection. Replicates with dye-swap were performed for each genotype.
2012-06-18 | E-GEOD-30128 | biostudies-arrayexpress
Project description:Peanut is one of the most important cash crops with high quality oil, high protein content, and many other nutritional elements, and grown globally. Cultivated peanut (Arachis hypogaea L.) is allotetraploid with a narrow genetic base, and its genetics and molecular mechanisms controlling the agronomic traits are poorly understood. The array SNP data was used for revaling of key candidate loci and genes associated with important agronomic traits in peanut
2022-02-22 | GSE197103 | GEO