Landscape genetics structure of European sweet chestnut (Castanea sativa Mill): indications for conservation priorities

Mattioni, Claudia; Martín, L. M.; Chiocchini, Francesca; Cherubini, M.; Gaudet, Muriel; Pollegioni, Paola; Velichkov, Ivaylo; Jarman, Rob; Chambers, Frank M.; Paule, Ladislav; Damian, V. L.; Crainic, G. C.; Villani, F.

doi:10.1007/s11295-017-1123-2

Cited by 56 publications

(74 citation statements)

References 62 publications

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“…The levels of diversity in our sampling regions are comparable with those reported in other studies (Lusini et al 2014;Mattioni et al 2017;Mattioni et al 2013;Skender et al 2017), similarly, the mean number of alleles per locus are 295 comparable with those obtained in other European regions (Lusini et al 2014;Pereira-Lorenzo et al 2017). The high observed heterozygosity in two of our sampling regions, CultArdech and CultLimousin, could be explained by the fact that they were sampled in several local conservatories.…”

Section: Diversity Indicessupporting

confidence: 91%

“…This result was also 355 expected for a continuously dispersed species affected by human management like European chestnut. Moreover, an admixed genetic structure was consistent with the known patterns of divergence and distribution of chestnut (Mattioni et al 2017), combined with evidence from fossil pollen of several tree species suggesting that chestnut populations originating from Italy or the Balkans spread into the Iberian Peninsula from the north (Grivet and Petit 2003;Petit 2003).…”

Section: A Hypothetical Common Glacial Refugia For French and Iberiansupporting

confidence: 71%

“…Strong geographical structure was reported in wild populations in Italy, Spain, Greece and Turkey (Mattioni et al 2013). A study of wild chestnut in Spain, Italy and Greece (Fernández-Cruz and Fernández-López 2016) found two main gene pools in Europe, and another study of wild, natural or naturalized populations (Mattioni et al 2017), found three. These 75 findings agree with evidence of spontaneous establishment originating from the Last Glacial Maximum refugia in the north of the Iberian, Italian and Balkan peninsulas, and in northern Anatolia (Krebs et al 2004(Krebs et al , 2019Roces-Díaz et al 2018).…”

Section: Introductionmentioning

confidence: 99%

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High admixture between forest an cultivated chestnut (Castanea sativaMill.) in France

Bouffartigue

Debille

Fabreguette

et al. 2019

Preprint

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Key messageThis paper presents the results of the first assessment of genetic diversity and structure of wild and cultivated sweet 25 chestnut in France. It reveals high diversity, a low but significant structure, and strongly suggests that the French gene pool is at the intersection between the Italian and Spanish gene pools. Abstract Context 30Renewed interest in European chestnut in France is focussed on finding locally adapted populations partially resistant to ink disease and identifying local landraces. AimsWe genotyped trees to assess (i) the genetic diversity of wild and cultivated chestnut across most of its range in France, (ii) their genetic structure, notably in relation with the sampled regions, and (iii) relations with its neighbors in Spain 35 and Italy. MethodsA total of 1,401 trees in 17 sampling regions in France were genotyped at 13 SSRs, and a subset of 693 trees at 24 SSRs. ResultsGenetic diversity was high in most sampling regions, with redundancy between them. No significant differentiation was 40 found between wild and cultivated chestnut. A genetic structure analysis with no a priori information found a low, yet significant structure, and identified three clusters. Two clusters of sampling regions, south east France and Corsica, were 2/17 less admixed than the others. A substructure was detected in the admixed cluster suggesting differentiation in wild chestnut trees in Finistère and Aveyron sampling regions. Conclusion 45The genetic structure within and between our sampling regions is likely the result of natural events (recolonization after the last glaciation) and human activities (migration and exchanges). Notably, we provide evidence for a common origin of most French and Iberian chestnut trees, except those from, south east France that were associated with the Italian gene pool. This advance in our knowledge of chestnut genetic diversity and structure will benefit conservation and help our local partners' valorization efforts. 50Keywords Castanea sativa Mill.; chestnut; genetic diversity; genetic structure; microsatellite markers; landraces 55 3/17

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Section: Diversity Indicessupporting

confidence: 91%

Section: A Hypothetical Common Glacial Refugia For French and Iberiansupporting

confidence: 71%

Section: Introductionmentioning

confidence: 99%

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High admixture between forest an cultivated chestnut (Castanea sativaMill.) in France

Bouffartigue

Debille

Fabreguette

et al. 2019

Preprint

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“…In addition, almost all of the populations in the third group are of natural structure. The mentioned populations, from the North Anatolia Region (Black Sea Coast) of Turkey, are in general characterized with higher genetic (Villani et al 1999;Mattioni et al 2017) and morphological variation. Populations in the first and second group are both natural and grafted.…”

Section: Rasprava I Zaključcimentioning

confidence: 99%

“…In Europe, there are three main areas (Georgia, eastern Turkey and Italy) having particular biological value for conservation of genetic resources of sweet chestnut (Villiani et al 1999;Mattioni et al 2017). Likewise, areas particularly rich in genetic diversity were detected in the Iberian (Martin et al 2012) and Balkan Peninsula (Lusini et al 2014;.…”

Section: Introduction Uvodmentioning

confidence: 99%

Fruit and seedling diversity among sweet chestnut (Castanea sativa Mill.) populations in Turkey

Atar

Turna

2018

Šumar. list (Online)

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Pitomi kesten, Castanea sativa Mill., plemenita je vrsta drveća od koje imamo višestruku gospodarsku korist (kvalitetno drvo, jestivi plodovi, med, ogrijev, listinac i dr.). Rasprostranjen je u mediteranskom području, od Kaspijskog jezera do Atlantskog oceana. U Turskoj najveće površine pod kestenovim šumama nalazimo na području sjeverne i zapadne Antolije te u regiji Marmara. U posljednjih nekoliko desetljeća pitomi kesten je ugrožen od raka kestenove kore i negativnih antropogenih utjecaja. S obzirom na to provedena su brojna istraživanja s ciljem očuvanje genofonda ove plemenite vrste drveća. Glavni cilj ovoga istraživanja bio je utvrditi morfološku varijabilnost plodova i jednogodišnjih sadnica pitomoga kestena u Turskoj. Plodovi za morfometrijsku analizu skupljeni su tijekom listopada u osam populacija pitomoga kestena na području istočne, središnje i zapadne Turske (slika 1, tablica 1). Unutar svake populacije sakupljeni su uzorci sa po 15 do 20 stabala. Ukupno su određene po četiri značajke na svakom plodu: dužina, širina i debljina ploda te omjer dužine i širine ploda. Osim toga, određen je i udio vlage u plodovima, kao i masa 1000 zračno suhih plodova. Plodovi su u proljeće posijani na unaprijed pripremljene gredice. Na kraju prvog vegetacijskog razdoblja mjerene su sljedeće značajke: visina sadnice, promjer sadnice pri osnovi i koeficijent čvrstoće. Za utvrđivanje varijabilnosti populacija korištene su deskriptivne i multivarijatne statističke metode. Podaci su obrađeni u programskom paketu SPSS 23.0. Rezultati deskriptivne statističke analize prikazani su na slici 2. Najviše vrijednosti za dužinu, širinu i debljinu ploda utvrđene su u populaciji Izmira, dok su najviše prosječne vrijednosti za visinu sadnice, promjer sadnice pri njenoj osnovi i koeficijent čvrstoće utvrđene u populaciji Balikesira. Masa 1000 zračno suhih plodova kretala se je od 3815,1 g do 10516,5 g, a udio vlage u plodovima od 38.46 % do 52,21 % (tablica 2). Istraživanjem je utvrđen visok stupanj varijabilnosti populacija pitomoga kestena u Turskoj (slika 3). Rezultati provedene analize varijance pokazali su da se populacije međusobno signifikantno razlikuju za sve istraživane značajke. Pearsonovim koeficijentom korelacije utvrđena je statistički značajna korelacija između dužine, širine i debljine ploda, kao i mase 1000 zračno suhih plodova (tablica 3). Osim toga, pozitivna korelacija utvrđena je i između visine sadnice i koeficijenta čvrstoće. Duncanovim testom i hijerarhijskom klasterskom analizom utvrđeno je da se one populacije koje su geografski bliže i ekološki sličnije nalaze u istoj skupini (slika 1 i 4). Također je utvrđeno da se veličina plodova u kestenovim šumama Turske povećava od istoka prema zapadu.

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Geospatial genetics: Integrating genetics into marine protection and spatial planning

Kershaw

McClintock

Andrews

et al. 2021

Aquatic Conservation

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The protection of evolutionary processes and maintenance of genetic diversity is necessary for the persistence of biodiversity and ecosystem resilience. The importance of genetic diversity has been reflected in a range of marine policy mechanisms, and the genetic ‘toolbox’ has great potential to support marine protection and marine spatial planning (MSP) at multiple scales. Despite scientific advances in the application of genetics in marine protection and management, systematic integration of genetic information has been generally lacking, primarily due to a knowledge and communication disconnect between geneticists and the marine policy and management community. To meet these outstanding needs, a ‘geospatial genetics’ approach to spatially map species‐specific genetic data and associated information in a way that can be readily integrated by practitioners into marine protection and MSP decisions was developed. Techniques to derive geospatial genetic data layers, which can be viewed and mapped alongside other kinds of spatial data commonly used by conservation practitioners, hold promise for increasing the accessibility of genetic data to support policy decisions more fully. While applicable to many mobile and sessile taxa, an initial focus was placed on marine mammals, and the approach was developed and refined through a series of international meetings and published papers, as well as the development of interactive, expert‐reviewed case studies hosted on the MSP tool SeaSketch. Outcomes of the work to date are currently serving in the policy arena by informing the identification of Important Marine Mammal Areas, an initiative led by the IUCN Marine Mammal Protected Areas Task Force to apply criteria to identify marine mammal habitats across the world's ocean, seas and relevant inland waters through a standardized process. It has become clear that geospatial genetics has great potential to foster increased collaboration among an intersectional community of geneticists, spatial ecologists, and practitioners. This increased opportunity for dialogue and cooperation will help ensure that evolutionary processes are factored into marine protection and MSP processes, and potentially for freshwater and terrestrial systems.

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Landscape genetics structure of European sweet chestnut (Castanea sativa Mill): indications for conservation priorities

Abstract: Landscape genetics structure of European sweet chestnut (Castanea sativa Mill): indications for 2 conservation priorities

Cited by 56 publications

References 62 publications

High admixture between forest an cultivated chestnut (Castanea sativaMill.) in France

High admixture between forest an cultivated chestnut (Castanea sativaMill.) in France

Fruit and seedling diversity among sweet chestnut (Castanea sativa Mill.) populations in Turkey

Geospatial genetics: Integrating genetics into marine protection and spatial planning

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