Organic management practices shape the structure and associations of soil bacterial communities in tea plantations

2021 ◽  
Vol 163 ◽  
pp. 103975
Author(s):  
Heng Gui ◽  
Lichao Fan ◽  
Donghui Wang ◽  
Peng Yan ◽  
Xin Li ◽  
...  
2003 ◽  
Vol 69 (3) ◽  
pp. 1800-1809 ◽  
Author(s):  
Martina S. Girvan ◽  
Juliet Bullimore ◽  
Jules N. Pretty ◽  
A. Mark Osborn ◽  
Andrew S. Ball

ABSTRACT Degradation of agricultural land and the resulting loss of soil biodiversity and productivity are of great concern. Land-use management practices can be used to ameliorate such degradation. The soil bacterial communities at three separate arable farms in eastern England, with different farm management practices, were investigated by using a polyphasic approach combining traditional soil analyses, physiological analysis, and nucleic acid profiling. Organic farming did not necessarily result in elevated organic matter levels; instead, a strong association with increased nitrate availability was apparent. Ordination of the physiological (BIOLOG) data separated the soil bacterial communities into two clusters, determined by soil type. Denaturing gradient gel electrophoresis and terminal restriction fragment length polymorphism analyses of 16S ribosomal DNA identified three bacterial communities largely on the basis of soil type but with discrimination for pea cropping. Five fields from geographically distinct soils, with different cropping regimens, produced highly similar profiles. The active communities (16S rRNA) were further discriminated by farm location and, to some degree, by land-use practices. The results of this investigation indicated that soil type was the key factor determining bacterial community composition in these arable soils. Leguminous crops on particular soil types had a positive effect upon organic matter levels and resulted in small changes in the active bacterial population. The active population was therefore more indicative of short-term management changes.


2021 ◽  
Author(s):  
Heng Gui ◽  
Lichao Fan ◽  
Donghui Wang ◽  
Peng Yan ◽  
Xin Li ◽  
...  

AbstractLong-term monoculture agriculture systems could lead to soil degradation and yield decline. The ways in which soil microbiotas interact with one another, particularly in response to long-term tea monoculture systems are currently unclear. In this study, through the comparison of three independent tea plantations across eastern China composed of varying stand ages (from 3 years to 90 years after conversion from forest), we found that long-term tea monoculture led to significant increases in soil total organic carbon (TOC) and microbial nitrogen (MBN). Additionally, the structure, function and co-occurrence network of soil microbial communities were investigated by pyrosequencing 16S rRNA genes. The pyrosequencing analysis revealed that structures and functions of soil bacterial communities were significantly affected by different stand ages of tea plantations, but sampling sites and land-use conversion (from forest to tea plantation) still outcompeted stand age to control the diversity and structure of soil bacterial communities. Further RDA analysis revealed that the C and N availability improvement in tea plantation soils led to variation of structure and function in soil microbial communities. Moreover, co-occurrence network analysis of soil bacterial communities also demonstrated that interactions among soil bacteria taxa were strengthened with the increasing stand age of respective tea stands. Overall, this study provides a comprehensive understanding of the impact of long-term monoculture stand age on soil nutrient dynamics and bacterial communities in tea production.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yu-Te Lin ◽  
Yu-Fei Lin ◽  
Isheng J. Tsai ◽  
Ed-Haun Chang ◽  
Shih-Hao Jien ◽  
...  

2021 ◽  
Vol 309 ◽  
pp. 107285
Author(s):  
Mengyu Gao ◽  
Jinfeng Yang ◽  
Chunmei Liu ◽  
Bowen Gu ◽  
Meng Han ◽  
...  

mBio ◽  
2014 ◽  
Vol 5 (4) ◽  
Author(s):  
Y. Verastegui ◽  
J. Cheng ◽  
K. Engel ◽  
D. Kolczynski ◽  
S. Mortimer ◽  
...  

ABSTRACTSoil microbial diversity represents the largest global reservoir of novel microorganisms and enzymes. In this study, we coupled functional metagenomics and DNA stable-isotope probing (DNA-SIP) using multiple plant-derived carbon substrates and diverse soils to characterize active soil bacterial communities and their glycoside hydrolase genes, which have value for industrial applications. We incubated samples from three disparate Canadian soils (tundra, temperate rainforest, and agricultural) with five native carbon (12C) or stable-isotope-labeled (13C) carbohydrates (glucose, cellobiose, xylose, arabinose, and cellulose). Indicator species analysis revealed high specificity and fidelity for many uncultured and unclassified bacterial taxa in the heavy DNA for all soils and substrates. Among characterized taxa,Actinomycetales(Salinibacterium),Rhizobiales(Devosia),Rhodospirillales(Telmatospirillum), andCaulobacterales(PhenylobacteriumandAsticcacaulis) were bacterial indicator species for the heavy substrates and soils tested. BothActinomycetalesandCaulobacterales(Phenylobacterium) were associated with metabolism of cellulose, andAlphaproteobacteriawere associated with the metabolism of arabinose; members of the orderRhizobialeswere strongly associated with the metabolism of xylose. Annotated metagenomic data suggested diverse glycoside hydrolase gene representation within the pooled heavy DNA. By screening 2,876 cloned fragments derived from the13C-labeled DNA isolated from soils incubated with cellulose, we demonstrate the power of combining DNA-SIP, multiple-displacement amplification (MDA), and functional metagenomics by efficiently isolating multiple clones with activity on carboxymethyl cellulose and fluorogenic proxy substrates for carbohydrate-active enzymes.IMPORTANCEThe ability to identify genes based on function, instead of sequence homology, allows the discovery of genes that would not be identified through sequence alone. This is arguably the most powerful application of metagenomics for the recovery of novel genes and a natural partner of the stable-isotope-probing approach for targeting active-yet-uncultured microorganisms. We expanded on previous efforts to combine stable-isotope probing and metagenomics, enriching microorganisms from multiple soils that were active in degrading plant-derived carbohydrates, followed by construction of a cellulose-based metagenomic library and recovery of glycoside hydrolases through functional metagenomics. The major advance of our study was the discovery of active-yet-uncultivated soil microorganisms and enrichment of their glycoside hydrolases. We recovered positive cosmid clones in a higher frequency than would be expected with direct metagenomic analysis of soil DNA. This study has generated an invaluable metagenomic resource that future research will exploit for genetic and enzymatic potential.


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