Back

Genetic diversity at putatively adaptive but not neutral loci in Primula veris responds to recent habitat change in semi-natural grasslands

Traeger, S.; Rellstab, C.; Reinula, I.; Zemp, N.; Helm, A.; Holderegger, R.; Aavik, T.

2021-05-14 plant biology
10.1101/2021.05.12.442254 bioRxiv
Show abstract

Recent habitat change in semi-natural grasslands due to a lack of management has been shown to affect the genetic diversity of grassland plants. However, it is unknown how a change in local environment affects genetic diversity at adaptive loci. We applied RADseq (restriction-site associated DNA sequencing) to extract > 3,000 SNPs across 568 individuals from 32 Estonian populations of Primula veris, a plant species common to semi-natural grasslands. We evaluated the effect of recent grassland overgrowth following management abandonment on the genetic diversity at putatively neutral and adaptive loci, which we distinguished by applying three methods, i.e., linear and categorical environmental association analyses, and an FST outlier test. For validation, we randomised the genotype to sample assignments. Effects of recent habitat change on genetic diversity differed between neutral and adaptive SNP sets. Genetic diversity assessed at putatively neutral loci was similar in open and overgrown habitats but showed a significant difference between these habitat types at putatively adaptive loci: overgrown (i.e. newly established) habitats exhibited higher genetic diversity at putatively adaptive loci than open (i.e. old) habitats, likely due to the exertion of novel selection pressures imposed by new habitat conditions. This increase in genetic diversity at putatively adaptive loci in the new environment points to currently ongoing selection processes where genetic adaptation to the old habitat is potentially lost through altered allele frequencies. Our study suggests that a recent change in local habitat conditions may not be reflected in neutral loci whereas putatively adaptive loci can inform about potential selection processes.

Matching journals

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

1
Molecular Ecology
304 papers in training set
Top 0.3%
17.9%
2
Peer Community Journal
254 papers in training set
Top 0.3%
6.6%
3
AoB PLANTS
11 papers in training set
Top 0.1%
6.1%
4
American Journal of Botany
41 papers in training set
Top 0.1%
6.1%
5
Frontiers in Plant Science
240 papers in training set
Top 2%
6.1%
6
Journal of Ecology
47 papers in training set
Top 0.1%
3.8%
7
Journal of Biogeography
37 papers in training set
Top 0.1%
3.5%
50% of probability mass above
8
Annals of Botany
43 papers in training set
Top 0.1%
3.5%
9
PLOS ONE
4510 papers in training set
Top 41%
3.5%
10
Evolutionary Applications
91 papers in training set
Top 0.4%
2.6%
11
PLANTS, PEOPLE, PLANET
21 papers in training set
Top 0.2%
2.5%
12
BMC Genomics
328 papers in training set
Top 1%
2.4%
13
New Phytologist
309 papers in training set
Top 3%
2.0%
14
PeerJ
261 papers in training set
Top 5%
2.0%
15
Scientific Reports
3102 papers in training set
Top 55%
1.8%
16
Journal of Experimental Botany
195 papers in training set
Top 2%
1.6%
17
PLOS Genetics
756 papers in training set
Top 9%
1.6%
18
Frontiers in Genetics
197 papers in training set
Top 6%
1.4%
19
Ecology and Evolution
232 papers in training set
Top 3%
1.4%
20
Global Change Biology
69 papers in training set
Top 1%
1.4%
21
Journal of Heredity
35 papers in training set
Top 0.1%
1.3%
22
Biological Invasions
14 papers in training set
Top 0.1%
1.2%
23
Nature Communications
4913 papers in training set
Top 60%
0.9%
24
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 46%
0.7%
25
BMC Plant Biology
47 papers in training set
Top 1%
0.7%
26
Journal of Virology
456 papers in training set
Top 4%
0.7%
27
Diversity and Distributions
26 papers in training set
Top 0.5%
0.7%
28
G3 Genes|Genomes|Genetics
351 papers in training set
Top 3%
0.6%
29
Global Ecology and Conservation
25 papers in training set
Top 1%
0.6%
30
Plants
39 papers in training set
Top 2%
0.6%