2015
DOI: 10.1128/aem.04122-14
|View full text |Cite
|
Sign up to set email alerts
|

Abstract: dThis study characterized specific changes in the millet root zone microbiome stimulated by long-term woody-shrub intercropping at different sites in Senegal. At the two study sites, intercropping with woody shrubs and shrub residue resulted in a significant increase in millet [Pennisetum glaucum (L.) R. Br.] yield (P < 0.05) and associated patterns of increased diversity in both bacterial and fungal communities in the root zone of the crop. Across four experiments, operational taxonomic units (OTUs) belonging… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

7
30
0
3

Year Published

2015
2015
2023
2023

Publication Types

Select...
8
1
1

Relationship

4
6

Authors

Journals

citations
Cited by 43 publications
(40 citation statements)
references
References 38 publications
7
30
0
3
Order By: Relevance
“…A hypothesis for the crop productivity difference is that some beneficial and/or detrimental abiotic or biotic factors are unequally distributed in the bulk soils among areas in a field. A couple of studies have suggested the link between yield performances and soil microbiome differences for grape and millet (Debenport et al, 2015; Xu et al, 2015). This could also be the case for field crops.…”
Section: Introductionmentioning
confidence: 99%
“…A hypothesis for the crop productivity difference is that some beneficial and/or detrimental abiotic or biotic factors are unequally distributed in the bulk soils among areas in a field. A couple of studies have suggested the link between yield performances and soil microbiome differences for grape and millet (Debenport et al, 2015; Xu et al, 2015). This could also be the case for field crops.…”
Section: Introductionmentioning
confidence: 99%
“…This method was initially developed to assess the differential gene expression from RNAseq data but can be applied to any count matrix data such as OTU tables (Love et al, 2014). It was recently imple-mented for the treatment of 16S rDNA OTU table and has been widely used since (e.g., Debenport et al, 2015;Pitombo et al, 2015) because it (i) is a sensitive and precise method, (ii) controls the false positive rate (Love et al, 2014) and (iii) uses all the power of the dataset without the need to rarefy the OTU table (McMurdie and Holmes, 2014). After checking the good agreement between the fit line and the shrunken data on the dispersion plot, a Wald test was applied to each OTU to reject the null hypothesis (p < 0.05) because the logarithmic fold change between treatments (i.e., in our case type of mineral substrate) for a given OTU is null.…”
Section: Differential Abundance Of Otus Analysesmentioning
confidence: 99%
“…Furthermore, P. reticulatum is known to perform hydraulic lift [9] which improves soil moisture by moving water from areas of high water potential in the wet sub soil to areas of low water potential at the surface. Previous work has shown that soil around the shrubs maintains microbial diversity and activity; and drives nutrient mineralization and decomposition through the long dry season [2] [10] [11]. Interactions between native shrubs and soil biota improve plant growth and soil microbial activity through increased water and nutrient availability [9] [12] [13].…”
Section: Introductionmentioning
confidence: 99%