Domestication reshaped the genetic basis of inbreeding depression in a maize landrace compared to its wild relative, teosinte

Inbreeding depression is the reduction in fitness and vigor resulting from mating of close relatives observed in many plant and animal species. The extent to which the genetic load of mutations contributing to inbreeding depression is due to large-effect mutations versus variants with very small individual effects is unknown and may be affected by population history. We compared the effects of outcrossing and self-fertilization on 18 traits in a landrace population of maize, which underwent a population bottleneck during domestication, and a neighboring population of its wild relative teosinte. Inbreeding depression was greater in maize than teosinte for 15 of 18 traits, congruent with the greater segregating genetic load in the maize population that we predicted from sequence data. Parental breeding values were highly consistent between outcross and selfed offspring, indicating that additive effects determine most of the genetic value even in the presence of strong inbreeding depression. We developed a novel linkage scan to identify quantitative trait loci (QTL) representing large-effect rare variants carried by only a single parent, which were more important in teosinte than maize. Teosinte also carried more putative juvenile-acting lethal variants identified by segregation distortion. These results suggest a mixture of mostly polygenic, small-effect partially recessive effects in linkage disequilibrium underlying inbreeding depression, with an additional contribution from rare larger-effect variants that was more important in teosinte but depleted in maize following the domestication bottleneck. Purging associated with the maize domestication bottleneck may have selected against some large effect variants, but polygenic load is harder to purge and overall segregating mutational burden increased in maize compared to teosinte.

The role of pseudo-overdominance in maintaining inbreeding depression

Classical models ignoring linkage predict that deleterious recessive mutations purge or fix within inbred populations, yet these often retain moderate to high segregating load. True overdominance generates balancing selection that sustains inbreeding depression even in inbred populations but is rare. In contrast, arrays of mildly deleterious recessives linked in repulsion may occur commonly enough to generate pseudo-overdominance and sustain segregating load. We used simulations to explore how long pseudo-overdominant regions (POD's) persist following their creation via hybridization between populations fixed for alternative mutations at linked loci. Balancing haplotype loads, tight linkage, and moderate to strong cumulative selective effects serve to maintain POD's, suggesting that POD's may most often arise and persist in low recombination regions (e.g., inversions). Selection and drift unbalance the load, eventually eliminating POD's, but this process is very slow when pseudo-overdominance is strong. Background selection across the genome accelerates the loss of weak POD's but reinforces strong POD's in inbred populations by disfavoring homozygotes. Further modeling and studies of POD dynamics within populations could help us understand how POD's affect persistence of the load and how inbred mating systems evolve.

Simulation of pedigree vs. fully-informative marker based relationships matrices in a loblolly pine breeding population

Computer simulations of breeding strategies are an essential resource for tree breeders because they allow exploratory analyses into potential long-term impacts on genetic gain and inbreeding consequences without bearing the cost, time, or resource requirements of field experiments. Previous work has modeled the potential long-term implications on inbreeding and genetic gain using random mating and phenotypic selection. Reduction in sequencing costs has enabled the use of DNA marker-based relationship matrices in addition to or in place of pedigree-based allele sharing estimates; this has been shown to provide a significant increase in the accuracy of progeny breeding value prediction. A potential pitfall of genomic selection using genetic relationship matrices is increased coancestry among selections, leading to the accumulation of deleterious alleles and inbreeding depression. We used simulation to compare the relative genetic gain and risk of inbreeding depression within a breeding program similar to loblolly pine, utilizing pedigree-based or marker-based relationships over ten generations. We saw a faster rate of purging deleterious alleles when using a genomic relationship matrix based on markers that track identity-by-descent of segments of the genome. Additionally, we observed an increase in the rate of genetic gain when using a genomic relationship matrix instead of a pedigree-based relationship matrix. While the genetic variance of populations decreased more rapidly when using genomic-based relationship matrices as opposed to pedigree-based, there appeared to be no long-term consequences on the accumulation of deleterious alleles within the simulated breeding strategy.

Genomic evidence for inbreeding depression and purging of deleterious genetic variation in Indian tigers

Increasing habitat fragmentation leads to wild populations becoming small, isolated, and threatened by inbreeding depression. However, small populations may be able to purge recessive deleterious alleles as they become expressed in homozygotes, thus reducing inbreeding depression and increasing population viability. We used whole-genome sequences from 57 tigers to estimate individual inbreeding and mutation load in a small–isolated and two large–connected populations in India. As expected, the small–isolated population had substantially higher average genomic inbreeding (FROH = 0.57) than the large–connected (FROH = 0.35 and FROH = 0.46) populations. The small–isolated population had the lowest loss-of-function mutation load, likely due to purging of highly deleterious recessive mutations. The large populations had lower missense mutation loads than the small–isolated population, but were not identical, possibly due to different demographic histories. While the number of the loss-of-function alleles in the small–isolated population was lower, these alleles were at higher frequencies and homozygosity than in the large populations. Together, our data and analyses provide evidence of 1) high mutation load, 2) purging, and 3) the highest predicted inbreeding depression, despite purging, in the small–isolated population. Frequency distributions of damaging and neutral alleles uncover genomic evidence that purifying selection has removed part of the mutation load across Indian tiger populations. These results provide genomic evidence for purifying selection in both small and large populations, but also suggest that the remaining deleterious alleles may have inbreeding-associated fitness costs. We suggest that genetic rescue from sources selected based on genome-wide differentiation could offset any possible impacts of inbreeding depression.

Detecting inbreeding depression in a severely bottlenecked, recovering species: The little spotted kiwi (Apteryx owenii)

<p>Population bottlenecks reduce genetic variation and population size. Small populations are at greater risk of inbreeding, which further erodes genetic diversity and can lead to inbreeding depression. Inbreeding depression is known to increase extinction risk. Thus, detecting inbreeding depression is important for population viability assessment and conservation management. However, identifying inbreeding depression in wild populations is challenging due to the difficulty of obtaining long-term measures of fitness and error-free measures of individual inbreeding coefficients. I investigated inbreeding depression and our power to detect it in species that have very low genetic variation, using little spotted kiwi (Apteryx owenii) (LSK) as a case study. This endemic New Zealand ratite experienced a bottleneck of, at most, five individuals ~100 years ago and has since been subjected to secondary bottlenecks as a result of introductions to new predator-free locations. There is no behavioural pedigree data available for any LSK population and the status of the species is monitored almost exclusively via population growth. I conducted two seasons of field work to determine hatching success in the two LSK populations with the highest and lowest numbers of founders; Zealandia Sanctuary (40 founders) and Long Island (two founders). I also used simulation-based modelling to assess the feasibility of reconstructing pedigrees based on individual genotypes from LSK populations to calculate pedigree inbreeding coefficients. Finally, I used microsatellite genotypes to measure the genetic erosion in successive filial groupings of Long Island and Zealandia LSK as a result of their respective bottlenecks, and tested for inbreeding depression on Long Island. Hatching success was significantly lower on Long Island than in Zealandia in both years of the study despite significantly higher reproductive effort on Long Island. Although this was suggestive of inbreeding depression on Long Island, simulation results showed that constructing a pedigree for any LSK population based on the genetic markers and samples currently available would lead to inaccurate pedigrees and invalid estimates of individual inbreeding coefficients. Thus, an alternative method of detecting inbreeding and inbreeding depression was required. Microsatellite data showed continued loss of heterozygosity in both populations, but loss of allelic diversity on Long Island only. Individual genotypes indicated that the majority (74%) of the adult Long Island population is comprised of the founding pair (F) and their direct offspring (F1) rather than birds from subsequent generations (F2+). This is not what would be expected if survival was equal between these two filial classes. I suggest that the high levels of inbreeding (≥0.25) in F2+ birds is impacting on their survival, creating a demographic skew in the population and resulting in lower hatching success on average on Long Island when compared to the relatively outbred Zealandia birds. This inbreeding depression appears to have been masked, thus far, by positive population growth on Long Island resulting from the long life span of LSK (27-83 years) and continued reproductive success of the founding pair. Thus, it is likely that the Long Island population will go into decline when the founding pair cease to reproduce. This study highlights the challenges of measuring inbreeding depression in species with very low genetic variation and the importance of assessing the statistical power and reliability of the genetic tools available for those species. It also demonstrates that basic genetic techniques can offer valuable insight when more advanced tools prove error-prone. Monitoring vital rates such as hatching success in conjunction with genetic data is important for assessing the success of conservation translocations and detecting potentially cryptic genetic threats such as inbreeding depression. My results suggest that LSK are being affected by inbreeding depression and that careful genetic management will be required to ensure the long-term viability of this species.</p>

Detecting inbreeding depression in a severely bottlenecked, recovering species: The little spotted kiwi (Apteryx owenii)

<p>Population bottlenecks reduce genetic variation and population size. Small populations are at greater risk of inbreeding, which further erodes genetic diversity and can lead to inbreeding depression. Inbreeding depression is known to increase extinction risk. Thus, detecting inbreeding depression is important for population viability assessment and conservation management. However, identifying inbreeding depression in wild populations is challenging due to the difficulty of obtaining long-term measures of fitness and error-free measures of individual inbreeding coefficients. I investigated inbreeding depression and our power to detect it in species that have very low genetic variation, using little spotted kiwi (Apteryx owenii) (LSK) as a case study. This endemic New Zealand ratite experienced a bottleneck of, at most, five individuals ~100 years ago and has since been subjected to secondary bottlenecks as a result of introductions to new predator-free locations. There is no behavioural pedigree data available for any LSK population and the status of the species is monitored almost exclusively via population growth. I conducted two seasons of field work to determine hatching success in the two LSK populations with the highest and lowest numbers of founders; Zealandia Sanctuary (40 founders) and Long Island (two founders). I also used simulation-based modelling to assess the feasibility of reconstructing pedigrees based on individual genotypes from LSK populations to calculate pedigree inbreeding coefficients. Finally, I used microsatellite genotypes to measure the genetic erosion in successive filial groupings of Long Island and Zealandia LSK as a result of their respective bottlenecks, and tested for inbreeding depression on Long Island. Hatching success was significantly lower on Long Island than in Zealandia in both years of the study despite significantly higher reproductive effort on Long Island. Although this was suggestive of inbreeding depression on Long Island, simulation results showed that constructing a pedigree for any LSK population based on the genetic markers and samples currently available would lead to inaccurate pedigrees and invalid estimates of individual inbreeding coefficients. Thus, an alternative method of detecting inbreeding and inbreeding depression was required. Microsatellite data showed continued loss of heterozygosity in both populations, but loss of allelic diversity on Long Island only. Individual genotypes indicated that the majority (74%) of the adult Long Island population is comprised of the founding pair (F) and their direct offspring (F1) rather than birds from subsequent generations (F2+). This is not what would be expected if survival was equal between these two filial classes. I suggest that the high levels of inbreeding (≥0.25) in F2+ birds is impacting on their survival, creating a demographic skew in the population and resulting in lower hatching success on average on Long Island when compared to the relatively outbred Zealandia birds. This inbreeding depression appears to have been masked, thus far, by positive population growth on Long Island resulting from the long life span of LSK (27-83 years) and continued reproductive success of the founding pair. Thus, it is likely that the Long Island population will go into decline when the founding pair cease to reproduce. This study highlights the challenges of measuring inbreeding depression in species with very low genetic variation and the importance of assessing the statistical power and reliability of the genetic tools available for those species. It also demonstrates that basic genetic techniques can offer valuable insight when more advanced tools prove error-prone. Monitoring vital rates such as hatching success in conjunction with genetic data is important for assessing the success of conservation translocations and detecting potentially cryptic genetic threats such as inbreeding depression. My results suggest that LSK are being affected by inbreeding depression and that careful genetic management will be required to ensure the long-term viability of this species.</p>

Gene drives and population persistence vs elimination: the impact of spatial structure and inbreeding at low density

Synthetic gene drive constructs are being developed to control disease vectors, invasive species, and other pest species. In a well-mixed random mating population a sufficiently strong gene drive is expected to eliminate a target population, but it is not clear whether the same is true when spatial processes play a role. In species with an appropriate biology it is possible that drive-induced reductions in density might lead to increased inbreeding, reducing the efficacy of drive, eventually leading to suppression rather than elimination, regardless of how strong the drive is. To investigate this question we analyse a series of explicitly solvable stochastic models considering a range of scenarios for the relative timing of mating, reproduction, and dispersal and analyse the impact of two different types of gene drive, a Driving Y chromosome and a homing construct targeting an essential gene. We find in all cases a sufficiently strong Driving Y will go to fixation and the population will be eliminated, except in the one life history scenario (reproduction and mating in patches followed by dispersal) where low density leads to increased inbreeding, in which case the population persists indefinitely, tending to either a stable equilibrium or a limit cycle. These dynamics arise because Driving Y males have reduced mating success, particularly at low densities, due to having fewer sisters to mate with. Increased inbreeding at low densities can also prevent a homing construct from eliminating a population. For both types of drive, if there is strong inbreeding depression, then the population cannot be rescued by inbreeding and it is eliminated. These results highlight the potentially critical role that low-density-induced inbreeding and inbreeding depression (and, by extension, other sources of Allee effects) can have on the eventual impact of a gene drive on a target population.