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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Living organisms encounter various growth conditions in their habitats, raising the question of whether ecological fluctuations could alter biological macromolecules. The advent of complete genome sequences and the characterization of whole metabolic pathways allowed us to search for such ecological imprints. Significant correlations between atomic composition and metabolic function were found in sulfur- and carbon-assimilatory enzymes, which appear depleted in sulfur and carbon, respectively, in both the bacterium Escherichia coli and the eukaryote Saccharomyces cerevisiae. In addition to genetic instructions, genomic data thus also provide paleontological records of environmental nutrient availability and of metabolic costs.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1126/science.1061052 | DOI Listing |
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