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Record W7002326828

Multi-generation genetic and fitness effects of immigration in a natural meta-population of song sparrows (Melospiza melodia)

2024· dissertation· en· W7002326828 on OpenAlexaboutno aff

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2024
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsnot available
Fundersnot available
KeywordsInbreedingPopulation fragmentationIntrogressionPopulationInbreeding depressionImmigrationHabitat fragmentationSmall population size
DOInot available

Abstract

fetched live from OpenAlex

Fragmentation leads to smaller habitat patches and population sizes, endangering population fitness and persistence, including through inbreeding depression and loss of genetic diversity. These effects can be mitigated through immigration when immigrants contribute to replenishing local genetic diversity, while also reducing local inbreeding and the resulting expression of inbreeding depression. The concept of genetic rescue relies on these effects in its theoretical predictions and management practice. However, there are also potential negative consequences of immigration, such as loss of local adaptation. In practice, the multi-generational genetic effects of natural immigration, stemming from the fitness of immigrants and their descendants, are not yet well known, precluding informed inferences on the net consequences. Hence, in this thesis, I quantified key multi-generational effects of immigration using long-term data from a system of song sparrows, Melospiza melodia, on Mandarte Island, BC, Canada, where the focal population occasionally receives natural immigrants. Specifically, I tested standard assumptions concerning the relatedness of immigrants to the recipient population (paper I), the fitness consequences of immigration across successive generations (paper II), consequential introgression of immigrant genes in the population (paper III) and potential modulation of such fitness and introgression consequences through non-random mating (paper IV). Specifically, in paper I, I tested the standard assumptions of population genetics, that immigrants are outbred and unrelated to the recipient population at the time of arrival. Using both microsatellites and pedigree inbreeding coefficient f, I showed that immigrants are effectively unrelated to each other and to the local population, and are also outbred relative to the local scale of pedigree inbreeding. These results show that recent immigrants have potential to import novel alleles, decrease local inbreeding, and induce substantial fitness consequences.\n\nIn paper II, I quantified the relative fitness of immigrants, natives and their descendants, utilizing line cross theory and planned comparisons to quantify key differences among defined filial groups for multiple major fitness components. I found strong effects, including high relative fitness in the first generation of immigrant-native descendants (F1), and loss of fitness in the second generation (F2), indicating strong heterosis followed by epistatic breakdown. These results indicate strong non-additive genetic effects on fitness, and imply that risks of outbreeding depression in crosses between weakly diverged natural populations should not be ignored.\n\nIn paper III, to quantify the expected persistence of immigrants’ genes in the focal population, collaborators and I used long-term pedigree data to estimate genetic contributions of immigrants and natives across up to fifteen years from arrival and recruitment. We showed that female immigrants contributed more than natives, while male immigrants’ lineages went typically rapidly extinct. Further, the high genetic contribution of female immigrants only emerged several years after the immigrants arrived, consistent with heterosisenhanced introgression.\n\nFinally, in paper IV, I tested whether the fitness consequences of immigration were modulated through non-random pairing, and specifically whether F1 individuals paired with natives rather than other F1 individuals, thereby avoiding producing low-fitness F2 offspring. I found that low pairing success of male immigrants was a mechanism underpinning their fitness, with no evidence that F1s avoided each other.\n\nIn conclusion, immigrants had major fitness effects, both positive, and negative, and immigrants’ genes persisted over longer ecological time frames (here, 15 years), with strong sex-specific effects. These are surprisingly strong consequences of immigration, given that the focal song sparrow population is relatively well-connected and apparently unlikely to be strongly diverged from surrounding populations. These findings will be relevant to ambitions to understand and predict net genetic and fitness effects of immigration, and help to disentangle the trade-off between the benefits of outbreeding and the loss of local adaptation. Thereby, they can inform genetic rescue considerations and provide conceptual frameworks for estimating and understanding such complex effects in further systems in nature.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.282
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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