Premium
Metabolic responses to potassium availability and waterlogging reshape respiration and carbon use efficiency in oil palm
Author(s) -
Cui Jing,
Davanture Marlène,
Zivy Michel,
Lamade Emmanuelle,
Tcherkez Guillaume
Publication year - 2019
Publication title -
new phytologist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.742
H-Index - 244
eISSN - 1469-8137
pISSN - 0028-646X
DOI - 10.1111/nph.15751
Subject(s) - respiration , waterlogging (archaeology) , palm oil , potassium , agronomy , palm , carbon fibers , environmental science , biology , botany , chemistry , agroforestry , ecology , mathematics , wetland , physics , organic chemistry , algorithm , quantum mechanics , composite number
Summary Oil palm is by far the major oil‐producing crop on the global scale, with c . 62 Mt oil produced each year. This species is a strong potassium (K)‐demanding species cultivated in regions where soil K availability is generally low and waterlogging due to tropical heavy rains can limit further nutrient absorption. However, the metabolic effects of K and waterlogging have never been assessed precisely. Here, we examined the metabolic response of oil palm saplings in the glasshouse under controlled conditions (nutrient composition with low or high K availability, with or without waterlogging), using gas exchange, metabolomics and proteomics analyses. Our results showed that both low K and waterlogging have a detrimental effect on photosynthesis but stimulate leaf respiration, with differential accumulation of typical metabolic intermediates and enzymes of Krebs cycle and alternative catabolic pathways. In addition, we found a strong relationship between metabolic composition, the rate of leaf dark respiration, and cumulated respiratory loss. Advert environmental conditions (here, low K and waterlogging) therefore have an enormous effect on respiration in oil palm. Leaf metabolome and proteome appear to be good predictors of carbon balance, and open avenues for cultivation biomonitoring using functional genomics technologies.