Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
In the present study, 16S rRNA gene sequencing based approaches were used to analyze the bacterial communities and diversity in the precipitation samples from Shanghai city, which were carried out in different months in 2012. Five clone libraries were established based on the rainwater samples collected during 5 different precipitation periods. The results showed that Proteobacteria (alpha-, beta-, gamma-) (32.5% - 94.1%) were dominant in the precipitation, including Alphaproteobacteria, Betaproteobacteria, and Gammaproteobacteria, while other 6 bacterial communities, such as Bacteroidetes, Actinobacteria, Deinococcus-Thermus, Cyanobacteria, Acidobacteria, and Firmicutes, were involved as well. Furthermore, a small proportion of undetermined bacteria (TM7, 2.5%) were also found. In addition, microbial diversity in the sample of SH6 was obviously more than those in other samplers. The investigation revealed that there was a difference in the bacterial communities and diversity in precipitation of different months.
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