Insecticide-Induced Perturbations in Sugar Metabolism and Alkaloid Biosynthesis in <i>Coffea arabica</i> (L.) Seedlings

The application of soil-applied insecticides can cause unintended metabolic changes on coffee plants, but these effects are still poorly understood. This study sought to assess the metabolic profile of coffee seedlings treated with insecticides commonly used for managing the coffee leaf miner (Leucoptera coffeella) using gas chromatography coupled to mass spectrometry (GC–MS). Coffee seedlings were treated via soil application with thiamethoxam, thiamethoxam + cyproconazole, dinotefuran, dinotefuran + pyriproxyfen, imidacloprid, and flupyradifuron, with water as the control treatment. After 80 days, the third pair of leaves was collected and analyzed using GC-MS. Insecticide treatments showed distinct metabolomic profiles (Student’s t test, p < 0.05). Neonicotinoid applications generally increased the expression of free sugars, particularly impacting the galactose pathway, and consistently reduced inositol levels, suggesting a common metabolic cost. Notably, the butenolide flupyradifurone triggered a unique response, distinguished by the considerable accumulation of the neuroactive alkaloid N-methylphenylethanolamine, putatively identified by mass spectral library matching. This study demonstrates that insecticides induce specific and complex metabolic shifts in coffee seedlings, offering essential understanding into their biochemical effects beyond pest control.

Authors

Institutions

Publication Details

Journal
ACS Agricultural Science & Technology
Published
2025-10-21
DOI
https://doi.org/10.1021/acsagscitech.5c00439
Primary Topic
Growth and nutrition in plants
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Insecticide-Induced Perturbations in Sugar Metabolism and Alkaloid Biosynthesis in Coffea arabica (L.) Seedlings

Carlos Gustavo da Cruz, Frederico Garcia Pinto, Wellington Luiz de Almeida, Flávio Lemes Fernandes et al.
ACS Agricultural Science & Technology
Growth and nutrition in plants
article

Insecticide-Induced Perturbations in Sugar Metabolism and Alkaloid Biosynthesis in Coffea arabica (L.) Seedlings

Carlos Gustavo da Cruz, Frederico Garcia Pinto, Wellington Luiz de Almeida, Flávio Lemes Fernandes, Brena Rodrigues Mota Ikehara, Erick A. A. Rocha, Natália Reis de Almeida
article en

Abstract

The application of soil-applied insecticides can cause unintended metabolic changes on coffee plants, but these effects are still poorly understood. This study sought to assess the metabolic profile of coffee seedlings treated with insecticides commonly used for managing the coffee leaf miner (Leucoptera coffeella) using gas chromatography coupled to mass spectrometry (GC–MS). Coffee seedlings were treated via soil application with thiamethoxam, thiamethoxam + cyproconazole, dinotefuran, dinotefuran + pyriproxyfen, imidacloprid, and flupyradifuron, with water as the control treatment. After 80 days, the third pair of leaves was collected and analyzed using GC-MS. Insecticide treatments showed distinct metabolomic profiles (Student’s t test, p < 0.05). Neonicotinoid applications generally increased the expression of free sugars, particularly impacting the galactose pathway, and consistently reduced inositol levels, suggesting a common metabolic cost. Notably, the butenolide flupyradifurone triggered a unique response, distinguished by the considerable accumulation of the neuroactive alkaloid N-methylphenylethanolamine, putatively identified by mass spectral library matching. This study demonstrates that insecticides induce specific and complex metabolic shifts in coffee seedlings, offering essential understanding into their biochemical effects beyond pest control.

ACS Agricultural Science & TechnologyVol. 5(11)
Universidade Federal de Viçosa (BR), Universidade Federal da Paraíba (BR), Universidade Federal de Uberlândia (BR)
Openalex Percentile: Top 78%
Growth and nutrition in plants
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.