Multi-omics analysis of excessive nitrogen fertilizer application: Assessing environmental damage and solutions in potato farming

Potatoes (Solanum tuberosum L.) are the third largest food crop globally and are pivotal for global food security. Widespread N fertilizer waste in potato cultivation has caused diverse environmental issues. This study employed microbial metagenomic sequencing to analyze the causes behind the declining N use efficiency (NUE) and escalating greenhouse gas emissions resulting from excessive N fertilizer application. Addressing N fertilizer inefficiency through breeding has emerged as a viable solution for mitigating overuse in potato cultivation. In this study, transcriptome and metabolome analyses were applied to identify N fertilizer-responsive genes. Metagenomic sequencing revealed that excessive N fertilizer application triggered alterations in the population dynamics of 11 major bacterial phyla, consequently affecting soil microbial functions, particularly N metabolism pathways and bacterial secretion systems. Notably, the enzyme levels associated with NO<sub>3</sub><sup>-</sup> increased, and those associated with NO and N<sub>2</sub>O increased. Furthermore, excessive N fertilizer application enhanced soil virulence factors and increased potato susceptibility to diseases. Transcriptome and metabolome sequencing revealed significant impacts of excessive N fertilizer use on lipid and amino acid metabolism pathways. Weighted gene co‑expression network analysis (WGCNA) was adopted to identify two genes associated with N fertilizer response: PGSC0003DMG400021157 and PGSC0003DMG400009544.

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Publication Details

Journal
Ecotoxicology and Environmental Safety
Published
2024-08-23
DOI
https://doi.org/10.1016/j.ecoenv.2024.116916
Citations
19
Primary Topic
Plant nutrient uptake and metabolism
Type
article
Field-Weighted Citation Impact
11.39
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article

Multi-omics analysis of excessive nitrogen fertilizer application: Assessing environmental damage and solutions in potato farming

Qingsong Tong, Yanbin Yin, Zhenping Gong, Qiaorong Wei et al.
19 citations
Ecotoxicology and Environmental Safety
Plant nutrient uptake and metabolism
11.39
article

Multi-omics analysis of excessive nitrogen fertilizer application: Assessing environmental damage and solutions in potato farming

Qingsong Tong, Yanbin Yin, Zhenping Gong, Qiaorong Wei, Shi Ying
article en
19 citations

Abstract

Potatoes (Solanum tuberosum L.) are the third largest food crop globally and are pivotal for global food security. Widespread N fertilizer waste in potato cultivation has caused diverse environmental issues. This study employed microbial metagenomic sequencing to analyze the causes behind the declining N use efficiency (NUE) and escalating greenhouse gas emissions resulting from excessive N fertilizer application. Addressing N fertilizer inefficiency through breeding has emerged as a viable solution for mitigating overuse in potato cultivation. In this study, transcriptome and metabolome analyses were applied to identify N fertilizer-responsive genes. Metagenomic sequencing revealed that excessive N fertilizer application triggered alterations in the population dynamics of 11 major bacterial phyla, consequently affecting soil microbial functions, particularly N metabolism pathways and bacterial secretion systems. Notably, the enzyme levels associated with NO<sub>3</sub><sup>-</sup> increased, and those associated with NO and N<sub>2</sub>O increased. Furthermore, excessive N fertilizer application enhanced soil virulence factors and increased potato susceptibility to diseases. Transcriptome and metabolome sequencing revealed significant impacts of excessive N fertilizer use on lipid and amino acid metabolism pathways. Weighted gene co‑expression network analysis (WGCNA) was adopted to identify two genes associated with N fertilizer response: PGSC0003DMG400021157 and PGSC0003DMG400009544.

Ecotoxicology and Environmental SafetyVol. 284
Harbin Engineering University (CN), Northeast Agricultural University (CN)
Zero hunger
Openalex Percentile: Top 2%
Plant nutrient uptake and metabolism
11.39
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