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A Review on - Comparisons of Seed Plants: Insights for Conservation

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Journal Ecol Evol
Date 2023 Apr 3
PMID 37006890
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Abstract

Increased access to genome-wide data provides new opportunities for plant conservation. However, information on neutral genetic diversity in a small number of marker loci can still be valuable because genomic data are not available to most rare plant species. In the hope of bridging the gap between conservation science and practice, we outline how conservation practitioners can more efficiently employ population genetic information in plant conservation. We first review the current knowledge about neutral genetic variation (NGV) and adaptive genetic variation (AGV) in seed plants, regarding both within-population and among-population components. We then introduce the estimates of among-population genetic differentiation in quantitative traits ( ) and neutral markers ( ) to plant biology and summarize conservation applications derived from - comparisons, particularly on how to capture most AGV and NGV on both in-situ and ex-situ programs. Based on a review of published studies, we found that, on average, two and four populations would be needed for woody perennials ( = 18) to capture 99% of NGV and AGV, respectively, whereas four populations would be needed in case of herbaceous perennials ( = 14). On average, is about 3.6, 1.5, and 1.1 times greater than in woody plants, annuals, and herbaceous perennials, respectively. Hence, conservation and management policies or suggestions based solely on inference on could be misleading, particularly in woody species. To maximize the preservation of the maximum levels of both AGV and NGV, we suggest using maximum rather than average . We recommend conservation managers and practitioners consider this when formulating further conservation and restoration plans for plant species, particularly woody species.

Citing Articles

A review on - comparisons of seed plants: Insights for conservation.

Chung M, Merila J, Kim Y, Mao K, Lopez-Pujol J, Chung M Ecol Evol. 2023; 13(3):e9926.

PMID: 37006890 PMC: 10049885. DOI: 10.1002/ece3.9926.

References
1.
Sork V . Genomic Studies of Local Adaptation in Natural Plant Populations. J Hered. 2017; 109(1):3-15. DOI: 10.1093/jhered/esx091. View

2.
Bell G . Fluctuating selection: the perpetual renewal of adaptation in variable environments. Philos Trans R Soc Lond B Biol Sci. 2009; 365(1537):87-97. PMC: 2842698. DOI: 10.1098/rstb.2009.0150. View

3.
Volis S, Yakubov B, Shulgina I, Ward D, Mendlinger S . Distinguishing adaptive from nonadaptive genetic differentiation: comparison of Q(ST) and F(ST) at two spatial scales. Heredity (Edinb). 2005; 95(6):466-75. DOI: 10.1038/sj.hdy.6800745. View

4.
Ovaskainen O, Karhunen M, Zheng C, Arias J, Merila J . A new method to uncover signatures of divergent and stabilizing selection in quantitative traits. Genetics. 2011; 189(2):621-32. PMC: 3189809. DOI: 10.1534/genetics.111.129387. View

5.
de Villemereuil P, Gaggiotti O, Mouterde M, Till-Bottraud I . Common garden experiments in the genomic era: new perspectives and opportunities. Heredity (Edinb). 2015; 116(3):249-54. PMC: 4806574. DOI: 10.1038/hdy.2015.93. View