Abstract

The bacterioplankton community composition’s (BCC) spatial and temporal variation patterns in three reservoirs (Shiyan, Xikeng, and LuoTian Reservoir) of similar trophic status in Bao’an District, Shenzhen (China), were investigated using PCR amplification of the 16S rDNA gene and the denaturing gradient gel electrophoresis (DGGE) techniques. Water samples were collected monthly in each reservoir during 12 consecutive months. Distinct differences were detected in band number, pattern, and density of DGGE at different sampling sites and time points. Analysis of the DGGE fingerprints showed that changes in the bacterial community structure mainly varied with seasons, and the patterns of change indicated that seasonal forces might have a more significant impact on the BCC than eutrophic status in the reservoirs, despite the similar Shannon-Weiner index among the three reservoirs. The sequences obtained from excised bands were affiliated with Cyanobacteria, Firmicutes, Bacteriodetes, Acidobacteria, Actinobacteria, Planctomycetes, and Proteobacteria.

Highlights

  • Bacterioplankton play an important role in the food web of both lotic and lentic water bodies, serving as a regulator of oxygen, carbon, and nutrient dynamics [1]

  • Environmental variables were measured for water samples, including total phosphorus, total nitrogen, Chlorophyll a, Dissolved Organic Carbon (DOC), Permanganate Index, and the modified trophic state index (TSIM), using standard methods stated in the literature [22]

  • bacterial community composition (BCC) in December, January, February, March, and April were in the same cluster in all reservoirs; while in late spring to Oacuttoubmernf,otrwmoetdoatnhorethe emr oclnutshtse,ro, arnedvetnhoosneeinmtohnethotahleornme, oonf tBhCs Ctesnfdoerdmteodcolunsetecrlu(sFtiegru. rRee7sBul)t.sInofththee LUuPo-GtiManARcelusesrtveroairn, aBlCysCis sinugSgeepstteemdbtheartatnhde bJuancteefroiorpmlaendkttwono columstmerusn, iBtiCeCs isninwAinutegruasntdanedarOlycstpobrienrg waeprpeegarroeudpteodbienmtouocnhemcloursetesrt,aabnledtthhaonsethinosteheinoltahteersufomrmerdaanndotehaerrlyclauusttuemr

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Summary

Introduction

Bacterioplankton play an important role in the food web of both lotic and lentic water bodies, serving as a regulator of oxygen, carbon, and nutrient dynamics [1]. Bacterial communities can respond rapidly to seasonal changes, such as algal abundance, grazing pressure, and concentrations of total nitrogen (TN) and total phosphate (TP) [10,11,12]. Patterns of change in bacterial community composition (BCC) should reflect the effects of lake-specific characteristics, as well as the effects of parameters that fluctuate seasonally. To obtain insights into the dynamics of bacterial populations in lake or reservoir ecosystems, it is important to explore temporal and spatial variations of BCC. A lot of multi-lake or multi-reservoir studies have shown variation in BCC among. BAtaltihnoinugghintfhoermDaGtiGonEabbaonudtitnhge pBaCtCte’rsndsymnaamy incostinretfhleecnt atthueracloemnmviuronnitmyefnutll[y1,6P–1C8R].-DAGltGhoEugwhasthae cDoGmGmEonblaynudsinedg pmaottleecrunlsarmmayetnhootdretofleicntvtehsteigcaotme mthuensiptyatfiaull-ltye,mPpCoRra-lDdGyGnEamwicass oafcBoCmCmoinnlnyautusreadl emnovliercounlmaremntest[h4o,1d9t,2o0i]n.vestigate the spatial-temporal dynamics of BCC in natural environments [4,19,20]. TThhrreeee mmaaiinn rreesseerrvvooiirrss ((SShhiiyyaann,, XXiikkeenngg,, aanndd LLuuoottiiaann RReesseerrvvooiirr)) iinn BBaaoo’’aann DDiissttrriicctt ((2222° ̋2244′1NN,, 111144° ̋0088′1EE)),, SShheennzzhheenn((GGuuaannggddoonnggPPrroovvininccee,,CChhininaa),),wweerreesseeleleccteteddinintthheepprreesseennttssttuuddyy((FFigiguurree11)). Dissolved organic carbon (DOC) (mg/L) Permanganate Index (mg/L) Temperature ( ̋C)

Sample Collection
Total Bacterioplankton Counts
Total Microbial DNA Extraction and 16s rDNA-V3 PCR Amplification
Sequencing and Phylogenetic Analysis of Excised DGGE Bands
Results
Factors Affecting Patterns of BCC
Discussion
Effects of PCR-DGGE Techniques on Change Patterns of the BCC
Conclusions

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