Back

Equivalent fitness increase achieved by active learning-navigated habitat reconstruction and evolution-induced genome mutation

Lu, Z.; Ying, B.-W.

2026-04-01 systems biology
10.64898/2026.03.29.715165 bioRxiv
Show abstract

Fitness increase, impacted by genetic and environmental traits, requires evolutionary changes in genomes or ecological changes in habitats. Whether and how habitat reconstruction can compensate for the genetic changes remains unclear. The present study offers an experimental comparison of bacterial fitness increase via evolutionary and ecological strategies to verify that habitat reconstruction has the potential to avert genetic restriction, challenging the genetic-only view of adaptation. Six finely tuned media with different combinations and five evolved lineages with different mutations, both of which allowed equivalent increases in bacterial growth rates, were achieved through active machine learning and experimental evolution, respectively. Transcriptome changes accompanied by fitness increase were limited but divergent among the six fitted media, compared to changes that were broad but similar among the five fitted genomes. The universal transcriptome reorganization in fitted genomes and media was likely driven by surrounding metabolisms, indicating escape routes for genetic changes that increase fitness through habitat reconstruction.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 8%
17.0%
2
Cell Systems
167 papers in training set
Top 1%
8.9%
3
mSystems
361 papers in training set
Top 1%
8.2%
4
eLife
5422 papers in training set
Top 15%
6.1%
5
npj Systems Biology and Applications
99 papers in training set
Top 0.3%
4.7%
6
PLOS Computational Biology
1633 papers in training set
Top 8%
4.2%
7
Computational and Structural Biotechnology Journal
216 papers in training set
Top 1%
3.9%
50% of probability mass above
8
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 23%
3.0%
9
iScience
1063 papers in training set
Top 7%
3.0%
10
Scientific Reports
3102 papers in training set
Top 45%
2.7%
11
Frontiers in Microbiology
375 papers in training set
Top 4%
2.5%
12
Communications Biology
886 papers in training set
Top 8%
1.7%
13
Environmental Microbiology
119 papers in training set
Top 2%
1.6%
14
Advanced Science
249 papers in training set
Top 12%
1.6%
15
Synthetic and Systems Biotechnology
10 papers in training set
Top 0.2%
1.6%
16
Cell Reports
1338 papers in training set
Top 26%
1.4%
17
PLOS ONE
4510 papers in training set
Top 59%
1.3%
18
ISME Communications
103 papers in training set
Top 1%
1.2%
19
Science China Life Sciences
26 papers in training set
Top 2%
0.9%
20
mBio
750 papers in training set
Top 10%
0.9%
21
Microbiology Spectrum
435 papers in training set
Top 4%
0.9%
22
PLOS Biology
408 papers in training set
Top 19%
0.8%
23
Nucleic Acids Research
1128 papers in training set
Top 17%
0.8%
24
International Journal of Molecular Sciences
453 papers in training set
Top 15%
0.8%
25
ACS Synthetic Biology
256 papers in training set
Top 3%
0.8%
26
Nature Ecology & Evolution
113 papers in training set
Top 4%
0.7%
27
The ISME Journal
194 papers in training set
Top 2%
0.7%
28
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 10%
0.7%
29
Applied and Environmental Microbiology
301 papers in training set
Top 3%
0.7%
30
BMC Genomics
328 papers in training set
Top 7%
0.6%