Variability and limits of nitrogen and phosphorus resorption during foliar senescence

Estiarte, Marc; Campiolli, Matteo; Mayol, María; Peñuelas, Josep

doi:10.1016/j.xplc.2022.100503

Cited by 21 publications

(21 citation statements)

References 143 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During leaf senescence, N derived from the degradation of macromolecules (e.g., proteins, DNA, RNA) is relocated to young, emerging leaves, developing flowers, and seeds, mainly in the form of nitrate or N‐rich amino acids (Distelfeld et al., 2014; Hörtensteiner & Feller, 2002). Leaf senescence is promoted by a shortage of N supply, probably for infallibly reallocating N to young tissues (Agüera et al., 2010; Estiarte et al., 2022; Sakuraba, 2022; Yang & Udvardi, 2018). It is also interesting that Arabidopsis thaliana knockout mutants lacking nitrate transporter NRT1.5 show an early establishment of senescence during nitrate starvation‐induced senescence, due to altered foliar potassium levels (Meng et al., 2016).…”

Section: Introductionmentioning

confidence: 99%

Arabidopsis BBX14 negatively regulates nitrogen starvation‐ and dark‐induced leaf senescence

Buelbuel,

Sakuraba,

Sedaghatmehr

et al. 2023

The Plant Journal

View full text Add to dashboard Cite

SUMMARYSenescence is a highly regulated process driven by developmental age and environmental factors. Although leaf senescence is accelerated by nitrogen (N) deficiency, the underlying physiological and molecular mechanisms are largely unknown. Here, we reveal that BBX14, a previously uncharacterized BBX‐type transcription factor in Arabidopsis, is crucial for N starvation‐induced leaf senescence. We find that inhibiting BBX14 by artificial miRNA (amiRNA) accelerates senescence during N starvation and in darkness, while BBX14 overexpression (BBX14‐OX) delays it, identifying BBX14 as a negative regulator of N starvation‐ and dark‐induced senescence. During N starvation, nitrate and amino acids like glutamic acid, glutamine, aspartic acid, and asparagine were highly retained in BBX14‐OX leaves compared to the wild type. Transcriptome analysis showed a large number of senescence‐associated genes (SAGs) to be differentially expressed between BBX14‐OX and wild‐type plants, including ETHYLENE INSENSITIVE3 (EIN3) which regulates N signaling and leaf senescence. Chromatin immunoprecipitation (ChIP) showed that BBX14 directly regulates EIN3 transcription. Furthermore, we revealed the upstream transcriptional cascade of BBX14. By yeast one‐hybrid screen and ChIP, we found that MYB44, a stress‐responsive MYB transcription factor, directly binds to the promoter of BBX14 and activates its expression. In addition, Phytochrome Interacting Factor 4 (PIF4) binds to the promoter of BBX14 to repress BBX14 transcription. Thus, BBX14 functions as a negative regulator of N starvation‐induced senescence through EIN3 and is directly regulated by PIF4 and MYB44.

show abstract

Section: Introductionmentioning

confidence: 99%

Arabidopsis BBX14 negatively regulates nitrogen starvation‐ and dark‐induced leaf senescence

Buelbuel,

Sakuraba,

Sedaghatmehr

et al. 2023

The Plant Journal

View full text Add to dashboard Cite

show abstract

“…Nevertheless, Drenovsky et al (2010; suggested that resorption variability is influenced by an interplay of the discussed drivers, that includes soil properties, climatic conditions, and plant characteristics. Estiarte et al (2023) support that leaf biochemistry of plants determine the first limitation to nutrient resorption, with a secondary regulation in resorption by environmental conditions, while the costs of leaf aging remain consistent. The divergence of observed patterns highlights the need for further investigation into the main drivers of variations in nutrient resorption, distinguishing the influence of plant types, soil and climatic conditions.…”

Section: Introductionmentioning

confidence: 77%

“…This is likely the consequence of a dominance of evergreen species in the tropics in our data set, but we cannot conclude that the lower amount of data for PRE is also a drive of this pattern. The inconsistencies of patterns and significance in P resorption can be related to high biochemical divergence in leaf P fractions compared to N, leading to varied mobilization paths (Estiarte et al, 2023). The breakdown of proteins is the main way N moves around as 75-80% of N is allocated in proteins, while P mobilization involves many different catabolic pathways that lead to wider variety in P dynamics in leaves during leaf development (Estiarte et al, 2023).…”

Section: Nutrient Resorption Limited By Leaf Structurementioning

confidence: 99%

“…The discussion that revolves around the LES is determined by a combination of trade-offs between investments in structural and metabolic components, as well as trade-offs over time in the expected returns on those investments (Reich et al, 2017). The non-transferable and possibly transferable nutrients depend on where they are located in the cell and their biochemistry (Estiarte et al, 2023). Metabolic fractions are considered to be fully accessible for resorption while structural fractions have been considered non-degradable (Estiarte et al, 2023).…”

Section: Nutrient Resorption Limited By Leaf Structurementioning

confidence: 99%

See 1 more Smart Citation

Leaf habit and nutrient availability drive leaf nutrient resorption globally

Sophia,

Caldararu,

Stocker

et al. 2024

Preprint

View full text Add to dashboard Cite

Abstract. Nutrient resorption from senescing leaves can significantly affect ecosystem nutrient cycling, making it an essential process to better understand long-term plant productivity under environmental change that affects the balance between nutrient availability and demand. Although it is known that nutrient resorption rates vary strongly between different species and across environmental gradients, the underlying driving factors are insufficiently quantified. Here, we present an analysis of globally distributed observations of leaf nutrient resorption to investigate the factors driving resorption efficiencies for nitrogen (NRE) and phosphorus (PRE). Our results show that leaf structure and habit, together with indicators of nutrient availability, are the two most important factors driving spatial variation in NRE. Overall, we found higher NRE in deciduous plants (65.2 % ± 12.4 % , n=400) than in evergreen plants (57.9 % ± 11.4 %, n=551) , likely associated with a higher share of metabolic N in leaves of deciduous plants. Tropical regions show the lowest resorption for N (NRE: 52.4 % ± 12.1 % ) and tundra ecosystems in polar regions show the highest (NRE: 69.6 % ± 12.8 %), while the minimum PRE is in temperate regions (57.8 % ± 13.6 %) increasing to boreal regions (67.3 % ± 13.6 %). Soil clay content, N and P atmospheric deposition – a globally available proxy for soil fertility – and MAP played an important role in this pattern, where we found higher NRE and PRE in high latitudes. The statistical relationships developed in this analysis indicate an important role of leaf habit and type for nutrient cycling and guide improved representations of plant-internal nutrient re-cycling and nutrient conservation strategies in vegetation models.

show abstract

“…The initial stage of leaf senescence is a decrease in photosynthetic activity due to decreasing incoming radiation (Chen et al., 2021; Y. Zhang et al., 2020). SIF, as a direct and effective proxy for photosynthesis by way of complex mechanisms of energy dissipation (Porcar‐Castell et al., 2014; Y. G. Zhang et al., 2014), decreased the earliest in autumn (Joiner et al., 2011), followed by leaf nutrient relocation and chlorophyll degradation (Marien et al., 2019), when leaves undergo to recover valuable elements contained in their pigments (Estiarte et al., 2023). Thus, CCI decreased a little later than SIF as it tracks chlorophyll decomposition (Gamon et al., 2016).…”

Section: Discussionmentioning

confidence: 99%

Divergence in Autumn Phenology Extracted From Different Satellite Proxies Reveals the Timetable of Leaf Senescence Over Deciduous Forests

Wang,

Yang,

Yin

et al. 2024

Geophysical Research Letters

Self Cite

View full text Add to dashboard Cite

Remote sensing detection of autumn phenology is challenging and highly uncertain, as exemplified by the observed divergence in autumn phenology extracted from different proxies. Here, we compared the autumn phenology derived from Solar‐Induced chlorophyll Fluorescence (SIF), Chlorophyll/Carotenoid Index (CCI), Enhanced Vegetation Index (EVI), and Normalized Difference Vegetation Index (NDVI) over deciduous forest sites. We observed a clear temporal sequence in the derived autumn phenology from various proxies: SIF < CCI < EVI < NDVI. Comparison with field measurements supported that SIF, EVI, and NDVI can successfully capture the attenuation of photosynthetic activity, leaf coloration, and leaf fall, respectively. The sequence among the autumn phenology derived from those proxies was also consistent with their responses to climate cues, where SIF had the highest partial correlation coefficient to solar radiation in autumn, followed by CCI, EVI, and NDVI, while NDVI was more correlated with temperature, followed by EVI, CCI, and SIF.

show abstract

Variability and limits of nitrogen and phosphorus resorption during foliar senescence

Cited by 21 publications

References 143 publications

Arabidopsis BBX14 negatively regulates nitrogen starvation‐ and dark‐induced leaf senescence

Arabidopsis BBX14 negatively regulates nitrogen starvation‐ and dark‐induced leaf senescence

Leaf habit and nutrient availability drive leaf nutrient resorption globally

Divergence in Autumn Phenology Extracted From Different Satellite Proxies Reveals the Timetable of Leaf Senescence Over Deciduous Forests

Contact Info

Product

Resources

About