Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Improving plant nitrogen (N) and carbon (C) acquisition and assimilation is a major challenge for global agriculture, food security, and ecological sustainability. Emerging synthetic biology techniques, including directed evolution, artificial intelligence (AI)-guided enzyme design, and metabolic engineering, have opened new avenues for optimizing nitrogenase to fix atmospheric N in plants, engineering Rhizobia or other nitrogen-fixing bacteria for symbiotic associations with both legume and nonlegume crops, and enhancing carbon fixation to improve photosynthetic efficiency and source-to-sink assimilate fluxes. Here, we discuss the potential for engineering nitrogen fixation and carbon fixation mechanisms in plants, from rational and AI-driven optimization of nitrogen and carbon fixation cycles. Furthermore, we discuss strategies for modifying source-to-sink relationships to promote robust growth in extreme conditions, such as arid deserts, saline-alkaline soils, or even extraterrestrial environments like Mars. The combined engineering of N and C pathways promises a new generation of crops with enhanced productivity, resource-use efficiency, and resilience. Finally, we explore future perspectives, focusing on the integration of enzyme engineering via directed evolution and computational design to accelerate metabolic innovation in plants.
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http://dx.doi.org/10.1016/j.pbi.2025.102699 | DOI Listing |