Back

Deciphering the chemical landscape and potential ecological function of RiPPs from the untapped Archaea domain

Zhiman, S.; Cunlei, C.; Ying, G.; Xiaoqian, L.; Gengfan, W.; Haoyu, L.; Qianlin, Z.; Peiyan, C.; Junliang, Z.; Wenhua, L.; Yong-xin, L.

2024-10-08 microbiology
10.1101/2024.10.07.616454 bioRxiv
Show abstract

Chemical communication is crucial in ecosystems with complex microbial communities. However, the difficulties inherent to the cultivation of archaea have led to a limited understanding of their chemical language, especially regarding the structure diversity and function of secondary or specialized metabolites (SMs). Our comprehensive investigation into the biosynthetic potential of archaea, combined with metabolic analyses and the first report of heterologous expression in archaea, has unveiled the previously unexplored biosynthetic capabilities and chemical diversity of archaeal ribosomally synthesized and post-translationally modified peptides (RiPPs). We have identified twenty-four new lanthipeptides of RiPPs exhibiting unique chemical characteristics, including a novel subfamily featuring an unexplored type with diamino-dicarboxylic (DADC) termini, largely expanding the chemical landscape of archaeal SMs. This sheds light on the chemical novelty of archaeal metabolites and emphasizes their potential as an untapped resource for natural product discovery. Additionally, archaeal lanthipeptides demonstrate specific antagonistic activity against haloarchaea, mediating the unique biotic interaction in the halophilic niche. Furthermore, they showcase a new ecological role of RiPPs in enhancing the hosts motility by inducing the rod-shaped cell morphology and upregulating the archaellin gene expression, facilitating the archaeal interaction with abiotic environments. These discoveries broaden our understanding of archaeal chemical language and provide promising prospects for future exploration of SM-mediated interaction. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/616454v2_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@3647e4org.highwire.dtl.DTLVardef@1a9ebb1org.highwire.dtl.DTLVardef@b0efdeorg.highwire.dtl.DTLVardef@53d933_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

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

1
Journal of Natural Products
15 papers in training set
Top 0.1%
22.8%
2
Nature Communications
5641 papers in training set
Top 13%
12.9%
3
Journal of the American Chemical Society
217 papers in training set
Top 0.5%
6.4%
4
ACS Chemical Biology
167 papers in training set
Top 0.5%
5.3%
5
Nature Chemical Biology
119 papers in training set
Top 0.6%
4.1%
50% of probability mass above
6
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 16%
3.3%
7
Cell Chemical Biology
94 papers in training set
Top 0.4%
3.3%
8
Chemical Science
73 papers in training set
Top 0.5%
2.8%
9
Nature Chemistry
42 papers in training set
Top 0.3%
2.7%
10
eLife
5828 papers in training set
Top 46%
1.9%
11
RSC Chemical Biology
39 papers in training set
Top 0.3%
1.9%
12
ACS Infectious Diseases
82 papers in training set
Top 0.7%
1.9%
13
mBio
833 papers in training set
Top 7%
1.8%
14
Communications Chemistry
48 papers in training set
Top 0.6%
1.7%
15
Scientific Reports
3612 papers in training set
Top 61%
1.4%
16
Angewandte Chemie International Edition
93 papers in training set
Top 1%
1.2%
17
Microbiology Spectrum
469 papers in training set
Top 8%
1.2%
18
Frontiers in Microbiology
427 papers in training set
Top 6%
1.2%
19
Communications Biology
993 papers in training set
Top 20%
1.2%
20
Journal of Proteome Research
234 papers in training set
Top 1%
1.1%
21
iScience
1154 papers in training set
Top 29%
1.1%
22
Journal of Medicinal Chemistry
77 papers in training set
Top 0.8%
1.0%
23
ACS Synthetic Biology
287 papers in training set
Top 2%
0.9%
24
Nature
645 papers in training set
Top 11%
0.6%
25
Biochemistry
148 papers in training set
Top 3%
0.6%
26
ISME Communications
120 papers in training set
Top 2%
0.6%