Back

Discerning amyloid network in plants

Gahane, A. Y.; Sinha, N.; Zahra, T.; Thakur, A. K.

2021-01-25 plant biology
10.1101/2021.01.24.427947 bioRxiv
Show abstract

Amyloids are proteinaceous fibrillar structures and are known for their pathogenic and functional roles across the kingdoms. Besides proteinaceous deposits, amyloid-like structures are present in small metabolite assemblies and fibrillar hydrogels. Recent cryoelectron microscopy studies have shed light on the heterogeneous nature of the amyloid structures and their association with carbohydrate or lipid molecules, suggesting that amyloids are not exclusively proteinaceous. The association of amyloids with carbohydrates is further supported because the gold-standard dye of amyloid detection, Congo red, also binds to carbohydrates, probably due to similar stacking interactions. We name the association between amyloids, carbohydrates and other biomolecules as amyloid-network and propose that plants might contain such structures. Specifically, we hypothesize that cereal seeds containing glutamine-repeat-rich granules of storage proteins may have amyloid-like structures. This is because, polyQ repeats are associated with protein aggregation and amyloid formation in humans and are linked to multiple neurodegenerative conditions. Also seed storage proteins and seed cell wall proteins possess carbohydrate affinity. Thus, plant seeds might contain an intercalated network of proteins and carbohydrates, lending strength, stability and dynamics to these structures. In this paper, we show that, plant seeds have a mesh-like network that shows apple-green birefringence on staining with Congo red, a characteristic of amyloids. This congophilic network is more prominent in protein-rich seed sections of wheat and lentils, as compared to starch-rich compartments of potato. The findings suggest an amyloid network in the seeds and might be extended to other plant tissues. Further investigation with mass spectrometry and other techniques would detail the exact compositional analysis of these networks.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
Frontiers in Plant Science
240 papers in training set
Top 1%
7.2%
2
Scientific Reports
3102 papers in training set
Top 18%
6.4%
3
PLOS ONE
4510 papers in training set
Top 32%
4.8%
4
Journal of Structural Biology
58 papers in training set
Top 0.3%
4.8%
5
International Journal of Biological Macromolecules
65 papers in training set
Top 0.4%
4.3%
6
Molecular Omics
21 papers in training set
Top 0.1%
4.0%
7
Nature Communications
4913 papers in training set
Top 40%
3.6%
8
International Journal of Molecular Sciences
453 papers in training set
Top 3%
3.6%
9
Journal of Experimental Botany
195 papers in training set
Top 1%
3.6%
10
Journal of Extracellular Vesicles
50 papers in training set
Top 0.1%
3.6%
11
eLife
5422 papers in training set
Top 26%
3.6%
12
Advanced Science
249 papers in training set
Top 5%
3.6%
50% of probability mass above
13
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 23%
3.1%
14
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 2%
2.9%
15
Physical Chemistry Chemical Physics
34 papers in training set
Top 0.2%
2.1%
16
The Plant Journal
197 papers in training set
Top 2%
1.9%
17
The Journal of Physical Chemistry Letters
58 papers in training set
Top 0.7%
1.8%
18
Journal of the American Chemical Society
199 papers in training set
Top 3%
1.7%
19
Frontiers in Molecular Biosciences
100 papers in training set
Top 2%
1.7%
20
Computational and Structural Biotechnology Journal
216 papers in training set
Top 5%
1.5%
21
Communications Biology
886 papers in training set
Top 11%
1.5%
22
Acta Biomaterialia
85 papers in training set
Top 0.6%
1.2%
23
ACS Omega
90 papers in training set
Top 3%
1.2%
24
PROTEOMICS
35 papers in training set
Top 0.5%
1.2%
25
iScience
1063 papers in training set
Top 22%
1.2%
26
New Phytologist
309 papers in training set
Top 4%
1.1%
27
Journal of Molecular Biology
217 papers in training set
Top 3%
0.9%
28
Open Biology
95 papers in training set
Top 2%
0.8%
29
Biophysical Journal
545 papers in training set
Top 5%
0.7%
30
PLOS Biology
408 papers in training set
Top 20%
0.7%