Back

Leaf age modulates physiological and metabolic responses to contrasting nitrogen forms in Chinese fir (Cunninghamia lanceolata (Lamb.) Hook)

Fu, W.; Zhang, Y.; Yu, W.; Zhang, Z.; Yuan, S.; Chen, G.; Zeng, J.

2026-02-26 plant biology
10.64898/2026.02.25.707992 bioRxiv
Show abstract

Atmospheric nitrogen (N) deposition is increasingly affecting global ecosystems, with nitrate contributing a growing proportion alongside ammonium. However, the interaction between N forms and leaf developmental stage in shaping physiological and metabolic strategies in Chinese fir remains poorly understood. In this study, a field experiment was conducted to explore the physiological and metabolic responses of young and old leaves to ammonium and nitrate N addition. Our findings showed that N addition enhanced photosynthetic performance in young leaves, with a stronger effect from nitrate. In contrast, old leaves exhibited limited photosynthetic response but accumulated higher non-structural carbohydrates and showed elevated N assimilation enzyme activities, particularly under nitrate addition. Phytohormone profiles varied between leaf ages, with young leaves having higher auxin levels while old leaves exhibiting increased abscisic and salicylic acid contents under N addition. Additionally, N addition induced differential reprogramming of amino acid metabolism, with age-dependent accumulation patterns. Metabolomic analysis identified key amino acids involved in coordinating carbon-nitrogen metabolism. These results highlighted the complementary metabolic strategies by young and old leaves of Chinese fir under contrasting N forms addition and emphasized the importance of considering both N form and leaf age in optimizing N management for sustainable plantation practices. HighlightsO_LINitrate enhanced photosynthesis in young Chinese fir leaves more effectively than ammonium. C_LIO_LIOld leaves prioritized C storage and N assimilation under N addition, especially nitrate. C_LIO_LIComplementary metabolic strategies between leaf ages optimized resource use under different N forms addition. C_LI

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Frontiers in Plant Science
240 papers in training set
Top 0.3%
18.6%
2
Journal of Experimental Botany
195 papers in training set
Top 0.5%
8.4%
3
Environmental and Experimental Botany
11 papers in training set
Top 0.1%
8.4%
4
PLOS ONE
4510 papers in training set
Top 22%
8.4%
5
Plant Direct
81 papers in training set
Top 0.3%
4.9%
6
Physiologia Plantarum
35 papers in training set
Top 0.1%
4.2%
50% of probability mass above
7
New Phytologist
309 papers in training set
Top 2%
3.6%
8
Science of The Total Environment
179 papers in training set
Top 2%
3.6%
9
Plant Physiology and Biochemistry
17 papers in training set
Top 0.1%
3.6%
10
Plant, Cell & Environment
78 papers in training set
Top 0.4%
2.4%
11
Plant Physiology
217 papers in training set
Top 2%
2.4%
12
Plants
39 papers in training set
Top 0.8%
2.1%
13
Scientific Reports
3102 papers in training set
Top 50%
2.1%
14
BMC Plant Biology
47 papers in training set
Top 0.2%
2.1%
15
The Plant Journal
197 papers in training set
Top 2%
1.9%
16
Plant Science
25 papers in training set
Top 0.5%
1.8%
17
Journal of Agricultural and Food Chemistry
14 papers in training set
Top 0.8%
1.3%
18
Agronomy
18 papers in training set
Top 0.6%
1.2%
19
Horticulture Research
43 papers in training set
Top 1%
1.0%
20
Plant Communications
35 papers in training set
Top 1%
0.8%
21
BMC Genomics
328 papers in training set
Top 6%
0.7%
22
International Journal of Molecular Sciences
453 papers in training set
Top 15%
0.7%
23
Computational and Structural Biotechnology Journal
216 papers in training set
Top 9%
0.7%
24
Journal of Fungi
31 papers in training set
Top 0.6%
0.7%
25
Plant Reproduction
12 papers in training set
Top 0.2%
0.7%