Evidence map›Paper›PMID 39484505›Full record

ArticlebioRxiv : the preprint server for biology2025

Large future genetic diversity losses are predicted even with habitat protection.

Kristy S Mualim, Jeffrey P Spence, Clemens Weiß, Oliver Selmoni, Meixi Lin, Moises Exposito-Alonso

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Kristy S MualimDepartment of Plant Biology, Carnegie Institution for Science, Stanford, California, USA.ORCID 0000-0002-6898-3205
Jeffrey P SpenceDepartment of Genetics, Stanford University, Stanford, California, USA.
Clemens WeißDepartment of Genetics, Stanford University, Stanford, California, USA.
Oliver SelmoniDepartment of Plant Biology, Carnegie Institution for Science, Stanford, California, USA.
Meixi LinDepartment of Plant Biology, Carnegie Institution for Science, Stanford, California, USA.
Moises Exposito-AlonsoDepartment of Plant Biology, Carnegie Institution for Science, Stanford, California, USA.ORCID 0000-0001-5711-0700

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Predicting and controlling polygenic health traits using probabilistic models and evolution-inspired gene editingDP5OD029506 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI EXPOSITO-ALONSO, MOISES · 2020 to 2024
$2.0M
COMPUTATIONAL METHODS FOR PROTEOMIC ANALYSISK22HG000044 · NHGRI · UNIVERSITY OF UTAH · PI GIDDINGS, MORGAN CORINNE · 2000 to 2005
$1.3M
NHGRI NIH HHS K22 HG000044NHGRI NIH HHS T32 HG000044NIH HHS DP5 OD029506
6 · The paper itself

Abstract

Genetic diversity within species is the basis for evolutionary adaptive capacity and has recently been included as a target for protection in the United Nations' Global Biodiversity Framework (GBF). However, we lack large-scale mathematical frameworks to quantify how much genetic diversity has already been lost, let alone to predict future losses under 21st century conservation scenarios. To fill this gap, we developed an area-based spatio-temporal predictive framework of genetic diversity calibrated with population-scale genomic data of 29 plant and animal species. To estimate present genetic diversity loss with our framework, we used species' habitat area and population sizes losses reported in the Living Planet Index, the Red List, and new GBF indicators across 13,808 species for the last 5 decades. Applying our evolutionary framework across these species, we estimate genetic diversity loss lags behind population and habitat area declines, with an estimated current 13-22% π genetic diversity loss. However, we forecast future genetic diversity losses will reach 41-76% even if populations are not further contracted. These results highlight that safeguarding existing habitats is insufficient to maintain the genetic health of species and relying solely on continuous genetic monitoring underestimates lagging long term impacts.

Indexed as

conservationcontinuous space simulationsGenetic diversityhabitat destructionlong-termMajor: Biological SciencesMinor: Evolution

Identifiers

PMID39484505
PMCPMC11526952

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.