Back

Diel metabolic plasticity of CAM photosynthesis in MD-2 pineapple (Ananas comosus) under contrasting tropical environments: biochemical patterns and agronomic implications.

Vasquez-Jimenez, J.; Bartholomew, D.; Trimino-Vasquez, H.; Villegas-Penaranda, L. R.; Vargas-Leiton, B.; Esquivel-Hernandez, G.

2026-05-31 plant biology
10.64898/2026.05.27.728258 bioRxiv
Show abstract

The current understanding of Crassulacean Acid Metabolism (CAM), including semi-controlled studies in pineapple, does not fully explain outcomes observed under commercial field conditions. Although empirical agronomy confirms a strong climatic influence on growth and development, mechanistic explanations at the metabolic level--particularly for photosynthate allocation--remain scarce. This study evaluated how environmental variation affects diel CAM outputs and how such effects can be agronomically interpreted. MD-2 pineapple plants were cultivated in contrasting natural environments across Costa Rica. Leaf samples were collected at defined phenological stages and at the end of CAM Phases I and IV. Field data revealed distinct metabolic balances between soluble sugar accumulation and nocturnal malic acid content. Under high radiation and temperature, sucrose concentrations increased markedly, reflecting shifts toward leaf growth over stem reserve storage. These shifts were associated with differences in harvest index, highlighting the role of sucrose dynamics in phenotypic plasticity. From a seed selection perspective, integrating CAM diel profiling into research protocols--together with physiological age (thermal units)--could provide a stronger basis for classifying planting material beyond current fresh-weight standards. Such integration would improve the prediction of photosynthetic performance, early establishment success, and ultimately, crop uniformity at harvest. Approximately 38% of diel metabolic patterns deviated from the classical CAM model, indicating dynamic regulatory mechanisms under field conditions. Understanding these patterns could improve the interpretation of yield variability, natural flowering incidence, and harvest index across agroecosystems. Recognizing these CAM particularities offers a path to bridge the gap between fundamental CAM biochemistry and agronomic application, enabling the development of precise management strategies that respond to metabolic plasticity under real-world conditions. Closing this gap is essential to enhance productivity, uniformity, and sustainability in pineapple agroecosystems.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
PLOS ONE
5266 papers in training set
Top 11%
18.2%
2
BMC Plant Biology
57 papers in training set
Top 0.1%
9.6%
3
Frontiers in Plant Science
256 papers in training set
Top 0.8%
8.7%
4
Journal of Experimental Botany
219 papers in training set
Top 0.8%
7.7%
5
Annals of Botany
50 papers in training set
Top 0.2%
6.1%
50% of probability mass above
6
Plant Direct
95 papers in training set
Top 0.6%
4.8%
7
Plant Physiology
238 papers in training set
Top 1%
4.0%
8
PLANTS, PEOPLE, PLANET
27 papers in training set
Top 0.1%
4.0%
9
Plant Science
31 papers in training set
Top 0.3%
3.2%
10
Plants
43 papers in training set
Top 0.5%
3.2%
11
Physiologia Plantarum
39 papers in training set
Top 0.6%
2.3%
12
American Journal of Botany
47 papers in training set
Top 0.4%
2.1%
13
Plant Methods
42 papers in training set
Top 0.4%
2.1%
14
Plant Physiology and Biochemistry
20 papers in training set
Top 0.4%
1.9%
15
The Plant Journal
215 papers in training set
Top 2%
1.7%
16
Plant Stress
12 papers in training set
Top 0.2%
1.7%
17
Plant Biology
15 papers in training set
Top 0.2%
1.7%
18
New Phytologist
346 papers in training set
Top 4%
1.5%
19
Tree Physiology
24 papers in training set
Top 0.3%
1.1%
20
Theoretical and Applied Genetics
49 papers in training set
Top 0.6%
1.1%
21
Horticulture Research
47 papers in training set
Top 0.8%
1.0%
22
Planta
18 papers in training set
Top 0.7%
0.9%
23
Agronomy
18 papers in training set
Top 0.7%
0.8%
24
Environmental and Experimental Botany
12 papers in training set
Top 0.5%
0.8%
25
Scientific Reports
3612 papers in training set
Top 75%
0.8%
26
Plant, Cell & Environment
78 papers in training set
Top 2%
0.6%