Published December 11, 2019 | Version v1
Dataset Open

Severe inbreeding depression is predicted by the "rare allele load" in Mimulus guttatus

  • 1. University of Kansas

Description

Most flowering plants are hermaphroditic and experience strong pressures to evolve self‐pollination (automatic selection, reproductive assurance). Inbreeding depression (ID) can oppose selection for selfing, but it remains unclear if ID is typically strong enough to maintain outcrossing. To measure the full cost of sustained inbreeding on fitness, and its genomic basis, we planted highly homozygous, fully genome‐sequenced inbred lines of yellow monkeyflower (Mimulus guttatus) in the field next to outbred plants from crosses between the same lines. The cost of full homozygosity is severe: 65% for survival, 86% for lifetime seed production. Accounting for the unmeasured effect of lethal and sterile mutations, we estimate that the average fitness of fully inbred genotypes is only 3–4% that of outbred competitors. The genome sequence data provides no indication of simple overdominance, but the number of rare alleles carried by a line, especially within rare allele clusters nonrandomly distributed across the genome, is a significant negative predictor of fitness measurements. These findings are consistent with a deleterious allele model for ID. High variance in rare allele load among lines and the genomic distribution of rare alleles both suggest that migration might be an important source of deleterious alleles to local populations.

Notes

Funding provided by: National Institutes of Health
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000002
Award Number: R01 GM073990

Funding provided by: KU Botany Endowment
Crossref Funder Registry ID:
Award Number:

Files

500snp.simple.txt

Files (30.5 MB)

Name Size Download all
md5:609d8fd9f15871124aa521b93c303c8f
23.6 MB Preview Download
md5:57130c48de11883a46af63ae868e2a08
40.3 kB Preview Download
md5:2e13158611783d3e67483889b6fb99cd
7.5 kB Download
md5:d4016ffaace28e21f17b279dea320b99
2.8 kB Preview Download
md5:c74a0482569bd7ea102da04abd60b55a
5.4 kB Download
md5:1efbab29528bca8ec4f813cf79ba8909
1.6 kB Preview Download
md5:090144ce324dd108b78a87dea83734ca
810 Bytes Preview Download
md5:8f651c800347b4d7556c782af30694fd
107.6 kB Download
md5:6592b7908b68ba57544ce92b0eade583
61.1 kB Preview Download
md5:7447a517cd850e029705bdadf94af131
18.8 kB Preview Download
md5:3af856bc7b2124412d95f9c1a9c8c0d6
1.2 kB Preview Download
md5:7895fbb80b31864805ed243d5dc35c36
38.7 kB Preview Download
md5:ff8f41a1e55be94a03aa07b42a11d8cb
79.7 kB Preview Download
md5:f45758d5f2521ac9bcc865adeceea907
106.3 kB Preview Download
md5:08bbe595dea62b693fe0460f469f8525
9.1 kB Preview Download
md5:931c34b4a69a91d54443816b620c5ff6
597 Bytes Preview Download
md5:427d44e690fbaa469e071111b17a96ab
4.4 kB Preview Download
md5:77d4e0686d8c66cb962a1b19ca38011d
15.7 kB Preview Download
md5:c6c4096dc139013103ec70f830bf9d4a
147.8 kB Download
md5:6f364d5bb42f539a447ca611e3169188
44.1 kB Download
md5:ba70a973982dd528d1d28ddad7021ab5
103.8 kB Preview Download
md5:c21ce90cd8364451753429caf3d91ab2
1.1 kB Download
md5:b83cca86f76db4113d5821b7eee8317d
19.0 kB Preview Download
md5:4ca6645ffee98392b383af82f99e643a
277.7 kB Download
md5:410c3a6d49b93bf2174503a0a60f0ede
3.2 kB Download
md5:0014ca23f76e3e11bc5119033bcba17b
1.4 kB Download
md5:2b712883de02ff22c61afbebbe5f48c5
12.1 kB Preview Download
md5:dcfc952253f0b4faadb9b164df3d8327
5.8 MB Preview Download
md5:f4a850545ed9a3d262fea7c06a32de5b
25.2 kB Preview Download

Additional details

Related works

Is cited by
10.1111/evo.13876 (DOI)