Signatures of local adaptation to climate in natural populations of sweet chestnut (Castanea sativa Mill.) from southern Europe

• Key message Understanding the adaptive mechanisms of forest species is vital to ensure their survival in a climate change scenario. This study aimed at uncovering the relationship between genetic variability and environmental variables in naturalCastanea sativapopulations, unveiling how different climate scenarios drove local adaption processes using a landscape genomics approach. Our findings provide useful data for future management of this species. • Context Temperate forest species, such as chestnut (Castanea sativa Mill.), are currently threatened by increasing temperature together with disruption and reduction of precipitation due to climate change. In this context, understanding the adaptation processes of species will help to manage and ensure the conservation of forests. • Aims We studied the relationship between genetic variability and climate variables in natural populations of C. sativa using a landscape genomics approach aimed to identify local adaption processes. • Methods Using five genomic SSRs and eight functional EST-SSRs markers, 268 individuals belonging to ten different natural European chestnut populations distributed in contrasting climatic sites were genotyped. In addition, associations between allelic variation and climatic variables (environmental association analyses approach) were performed using Samβada and LFMM. • Results Results highlighted a strong inter-relationship between climate variables and evolutionary processes resulting in adaptive variation. STRUCTURE analysis based on functional markers split the populations in three separate gene pools (K = 3), mostly in agreement with the different climatic conditions existing in the studied areas. Divergent spatial patterns of genetic variation between rainy and arid areas were found. We detected a total of 202 associations with climate among 22 different alleles, 9% of which related with the outlier locus FIR059, known to be implicated in regulatory mechanisms during water stress adaptation processes. • Conclusion Landscape genomics analyses revealed a pattern of adaptive variation, where specific climatic variables influenced the frequencies distribution and fixation of several alleles, resulting in local adaptation processes of the populations in the investigated areas. Our findings underline the close inter-relationship existing between climate and genetic variability and indicate how this approach could provide valuable information for the management of forest species in a rapidly changing environment. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Castellana, Simone [verfasserIn] Martin, Maria Ángela Solla, Alejandro Alcaide, Francisco Villani, Fiorella Cherubini, Marcello Neale, David Mattioni, Claudia

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Landscape genomics Sweet chestnut Environmental association analyses Local adaptation EST-SSR Climate change

Anmerkung:	© INRAE and Springer-Verlag France SAS, part of Springer Nature 2021

Übergeordnetes Werk:	Enthalten in: Annals of forest science - Paris : Springer, 1999, 78(2021), 2 vom: 22. März
Übergeordnetes Werk:	volume:78 ; year:2021 ; number:2 ; day:22 ; month:03

Links:	Volltext

DOI / URN:	10.1007/s13595-021-01027-6

Katalog-ID:	SPR043589049

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allfields	10.1007/s13595-021-01027-6 doi (DE-627)SPR043589049 (SPR)s13595-021-01027-6-e DE-627 ger DE-627 rakwb eng Castellana, Simone verfasserin (orcid)0000-0003-2921-5040 aut Signatures of local adaptation to climate in natural populations of sweet chestnut (Castanea sativa Mill.) from southern Europe 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © INRAE and Springer-Verlag France SAS, part of Springer Nature 2021 • Key message Understanding the adaptive mechanisms of forest species is vital to ensure their survival in a climate change scenario. This study aimed at uncovering the relationship between genetic variability and environmental variables in naturalCastanea sativapopulations, unveiling how different climate scenarios drove local adaption processes using a landscape genomics approach. Our findings provide useful data for future management of this species. • Context Temperate forest species, such as chestnut (Castanea sativa Mill.), are currently threatened by increasing temperature together with disruption and reduction of precipitation due to climate change. In this context, understanding the adaptation processes of species will help to manage and ensure the conservation of forests. • Aims We studied the relationship between genetic variability and climate variables in natural populations of C. sativa using a landscape genomics approach aimed to identify local adaption processes. • Methods Using five genomic SSRs and eight functional EST-SSRs markers, 268 individuals belonging to ten different natural European chestnut populations distributed in contrasting climatic sites were genotyped. In addition, associations between allelic variation and climatic variables (environmental association analyses approach) were performed using Samβada and LFMM. • Results Results highlighted a strong inter-relationship between climate variables and evolutionary processes resulting in adaptive variation. STRUCTURE analysis based on functional markers split the populations in three separate gene pools (K = 3), mostly in agreement with the different climatic conditions existing in the studied areas. Divergent spatial patterns of genetic variation between rainy and arid areas were found. We detected a total of 202 associations with climate among 22 different alleles, 9% of which related with the outlier locus FIR059, known to be implicated in regulatory mechanisms during water stress adaptation processes. • Conclusion Landscape genomics analyses revealed a pattern of adaptive variation, where specific climatic variables influenced the frequencies distribution and fixation of several alleles, resulting in local adaptation processes of the populations in the investigated areas. Our findings underline the close inter-relationship existing between climate and genetic variability and indicate how this approach could provide valuable information for the management of forest species in a rapidly changing environment. Landscape genomics (dpeaa)DE-He213 Sweet chestnut (dpeaa)DE-He213 Environmental association analyses (dpeaa)DE-He213 Local adaptation (dpeaa)DE-He213 EST-SSR (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Martin, Maria Ángela aut Solla, Alejandro aut Alcaide, Francisco aut Villani, Fiorella aut Cherubini, Marcello aut Neale, David aut Mattioni, Claudia aut Enthalten in Annals of forest science Paris : Springer, 1999 78(2021), 2 vom: 22. März (DE-627)312842457 (DE-600)2012340-1 1297-966X nnns volume:78 year:2021 number:2 day:22 month:03 https://dx.doi.org/10.1007/s13595-021-01027-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 78 2021 2 22 03
spelling	10.1007/s13595-021-01027-6 doi (DE-627)SPR043589049 (SPR)s13595-021-01027-6-e DE-627 ger DE-627 rakwb eng Castellana, Simone verfasserin (orcid)0000-0003-2921-5040 aut Signatures of local adaptation to climate in natural populations of sweet chestnut (Castanea sativa Mill.) from southern Europe 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © INRAE and Springer-Verlag France SAS, part of Springer Nature 2021 • Key message Understanding the adaptive mechanisms of forest species is vital to ensure their survival in a climate change scenario. This study aimed at uncovering the relationship between genetic variability and environmental variables in naturalCastanea sativapopulations, unveiling how different climate scenarios drove local adaption processes using a landscape genomics approach. Our findings provide useful data for future management of this species. • Context Temperate forest species, such as chestnut (Castanea sativa Mill.), are currently threatened by increasing temperature together with disruption and reduction of precipitation due to climate change. In this context, understanding the adaptation processes of species will help to manage and ensure the conservation of forests. • Aims We studied the relationship between genetic variability and climate variables in natural populations of C. sativa using a landscape genomics approach aimed to identify local adaption processes. • Methods Using five genomic SSRs and eight functional EST-SSRs markers, 268 individuals belonging to ten different natural European chestnut populations distributed in contrasting climatic sites were genotyped. In addition, associations between allelic variation and climatic variables (environmental association analyses approach) were performed using Samβada and LFMM. • Results Results highlighted a strong inter-relationship between climate variables and evolutionary processes resulting in adaptive variation. STRUCTURE analysis based on functional markers split the populations in three separate gene pools (K = 3), mostly in agreement with the different climatic conditions existing in the studied areas. Divergent spatial patterns of genetic variation between rainy and arid areas were found. We detected a total of 202 associations with climate among 22 different alleles, 9% of which related with the outlier locus FIR059, known to be implicated in regulatory mechanisms during water stress adaptation processes. • Conclusion Landscape genomics analyses revealed a pattern of adaptive variation, where specific climatic variables influenced the frequencies distribution and fixation of several alleles, resulting in local adaptation processes of the populations in the investigated areas. Our findings underline the close inter-relationship existing between climate and genetic variability and indicate how this approach could provide valuable information for the management of forest species in a rapidly changing environment. Landscape genomics (dpeaa)DE-He213 Sweet chestnut (dpeaa)DE-He213 Environmental association analyses (dpeaa)DE-He213 Local adaptation (dpeaa)DE-He213 EST-SSR (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Martin, Maria Ángela aut Solla, Alejandro aut Alcaide, Francisco aut Villani, Fiorella aut Cherubini, Marcello aut Neale, David aut Mattioni, Claudia aut Enthalten in Annals of forest science Paris : Springer, 1999 78(2021), 2 vom: 22. März (DE-627)312842457 (DE-600)2012340-1 1297-966X nnns volume:78 year:2021 number:2 day:22 month:03 https://dx.doi.org/10.1007/s13595-021-01027-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 78 2021 2 22 03
allfields_unstemmed	10.1007/s13595-021-01027-6 doi (DE-627)SPR043589049 (SPR)s13595-021-01027-6-e DE-627 ger DE-627 rakwb eng Castellana, Simone verfasserin (orcid)0000-0003-2921-5040 aut Signatures of local adaptation to climate in natural populations of sweet chestnut (Castanea sativa Mill.) from southern Europe 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © INRAE and Springer-Verlag France SAS, part of Springer Nature 2021 • Key message Understanding the adaptive mechanisms of forest species is vital to ensure their survival in a climate change scenario. This study aimed at uncovering the relationship between genetic variability and environmental variables in naturalCastanea sativapopulations, unveiling how different climate scenarios drove local adaption processes using a landscape genomics approach. Our findings provide useful data for future management of this species. • Context Temperate forest species, such as chestnut (Castanea sativa Mill.), are currently threatened by increasing temperature together with disruption and reduction of precipitation due to climate change. In this context, understanding the adaptation processes of species will help to manage and ensure the conservation of forests. • Aims We studied the relationship between genetic variability and climate variables in natural populations of C. sativa using a landscape genomics approach aimed to identify local adaption processes. • Methods Using five genomic SSRs and eight functional EST-SSRs markers, 268 individuals belonging to ten different natural European chestnut populations distributed in contrasting climatic sites were genotyped. In addition, associations between allelic variation and climatic variables (environmental association analyses approach) were performed using Samβada and LFMM. • Results Results highlighted a strong inter-relationship between climate variables and evolutionary processes resulting in adaptive variation. STRUCTURE analysis based on functional markers split the populations in three separate gene pools (K = 3), mostly in agreement with the different climatic conditions existing in the studied areas. Divergent spatial patterns of genetic variation between rainy and arid areas were found. We detected a total of 202 associations with climate among 22 different alleles, 9% of which related with the outlier locus FIR059, known to be implicated in regulatory mechanisms during water stress adaptation processes. • Conclusion Landscape genomics analyses revealed a pattern of adaptive variation, where specific climatic variables influenced the frequencies distribution and fixation of several alleles, resulting in local adaptation processes of the populations in the investigated areas. Our findings underline the close inter-relationship existing between climate and genetic variability and indicate how this approach could provide valuable information for the management of forest species in a rapidly changing environment. Landscape genomics (dpeaa)DE-He213 Sweet chestnut (dpeaa)DE-He213 Environmental association analyses (dpeaa)DE-He213 Local adaptation (dpeaa)DE-He213 EST-SSR (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Martin, Maria Ángela aut Solla, Alejandro aut Alcaide, Francisco aut Villani, Fiorella aut Cherubini, Marcello aut Neale, David aut Mattioni, Claudia aut Enthalten in Annals of forest science Paris : Springer, 1999 78(2021), 2 vom: 22. März (DE-627)312842457 (DE-600)2012340-1 1297-966X nnns volume:78 year:2021 number:2 day:22 month:03 https://dx.doi.org/10.1007/s13595-021-01027-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 78 2021 2 22 03
allfieldsGer	10.1007/s13595-021-01027-6 doi (DE-627)SPR043589049 (SPR)s13595-021-01027-6-e DE-627 ger DE-627 rakwb eng Castellana, Simone verfasserin (orcid)0000-0003-2921-5040 aut Signatures of local adaptation to climate in natural populations of sweet chestnut (Castanea sativa Mill.) from southern Europe 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © INRAE and Springer-Verlag France SAS, part of Springer Nature 2021 • Key message Understanding the adaptive mechanisms of forest species is vital to ensure their survival in a climate change scenario. This study aimed at uncovering the relationship between genetic variability and environmental variables in naturalCastanea sativapopulations, unveiling how different climate scenarios drove local adaption processes using a landscape genomics approach. Our findings provide useful data for future management of this species. • Context Temperate forest species, such as chestnut (Castanea sativa Mill.), are currently threatened by increasing temperature together with disruption and reduction of precipitation due to climate change. In this context, understanding the adaptation processes of species will help to manage and ensure the conservation of forests. • Aims We studied the relationship between genetic variability and climate variables in natural populations of C. sativa using a landscape genomics approach aimed to identify local adaption processes. • Methods Using five genomic SSRs and eight functional EST-SSRs markers, 268 individuals belonging to ten different natural European chestnut populations distributed in contrasting climatic sites were genotyped. In addition, associations between allelic variation and climatic variables (environmental association analyses approach) were performed using Samβada and LFMM. • Results Results highlighted a strong inter-relationship between climate variables and evolutionary processes resulting in adaptive variation. STRUCTURE analysis based on functional markers split the populations in three separate gene pools (K = 3), mostly in agreement with the different climatic conditions existing in the studied areas. Divergent spatial patterns of genetic variation between rainy and arid areas were found. We detected a total of 202 associations with climate among 22 different alleles, 9% of which related with the outlier locus FIR059, known to be implicated in regulatory mechanisms during water stress adaptation processes. • Conclusion Landscape genomics analyses revealed a pattern of adaptive variation, where specific climatic variables influenced the frequencies distribution and fixation of several alleles, resulting in local adaptation processes of the populations in the investigated areas. Our findings underline the close inter-relationship existing between climate and genetic variability and indicate how this approach could provide valuable information for the management of forest species in a rapidly changing environment. Landscape genomics (dpeaa)DE-He213 Sweet chestnut (dpeaa)DE-He213 Environmental association analyses (dpeaa)DE-He213 Local adaptation (dpeaa)DE-He213 EST-SSR (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Martin, Maria Ángela aut Solla, Alejandro aut Alcaide, Francisco aut Villani, Fiorella aut Cherubini, Marcello aut Neale, David aut Mattioni, Claudia aut Enthalten in Annals of forest science Paris : Springer, 1999 78(2021), 2 vom: 22. März (DE-627)312842457 (DE-600)2012340-1 1297-966X nnns volume:78 year:2021 number:2 day:22 month:03 https://dx.doi.org/10.1007/s13595-021-01027-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 78 2021 2 22 03
allfieldsSound	10.1007/s13595-021-01027-6 doi (DE-627)SPR043589049 (SPR)s13595-021-01027-6-e DE-627 ger DE-627 rakwb eng Castellana, Simone verfasserin (orcid)0000-0003-2921-5040 aut Signatures of local adaptation to climate in natural populations of sweet chestnut (Castanea sativa Mill.) from southern Europe 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © INRAE and Springer-Verlag France SAS, part of Springer Nature 2021 • Key message Understanding the adaptive mechanisms of forest species is vital to ensure their survival in a climate change scenario. This study aimed at uncovering the relationship between genetic variability and environmental variables in naturalCastanea sativapopulations, unveiling how different climate scenarios drove local adaption processes using a landscape genomics approach. Our findings provide useful data for future management of this species. • Context Temperate forest species, such as chestnut (Castanea sativa Mill.), are currently threatened by increasing temperature together with disruption and reduction of precipitation due to climate change. In this context, understanding the adaptation processes of species will help to manage and ensure the conservation of forests. • Aims We studied the relationship between genetic variability and climate variables in natural populations of C. sativa using a landscape genomics approach aimed to identify local adaption processes. • Methods Using five genomic SSRs and eight functional EST-SSRs markers, 268 individuals belonging to ten different natural European chestnut populations distributed in contrasting climatic sites were genotyped. In addition, associations between allelic variation and climatic variables (environmental association analyses approach) were performed using Samβada and LFMM. • Results Results highlighted a strong inter-relationship between climate variables and evolutionary processes resulting in adaptive variation. STRUCTURE analysis based on functional markers split the populations in three separate gene pools (K = 3), mostly in agreement with the different climatic conditions existing in the studied areas. Divergent spatial patterns of genetic variation between rainy and arid areas were found. We detected a total of 202 associations with climate among 22 different alleles, 9% of which related with the outlier locus FIR059, known to be implicated in regulatory mechanisms during water stress adaptation processes. • Conclusion Landscape genomics analyses revealed a pattern of adaptive variation, where specific climatic variables influenced the frequencies distribution and fixation of several alleles, resulting in local adaptation processes of the populations in the investigated areas. Our findings underline the close inter-relationship existing between climate and genetic variability and indicate how this approach could provide valuable information for the management of forest species in a rapidly changing environment. Landscape genomics (dpeaa)DE-He213 Sweet chestnut (dpeaa)DE-He213 Environmental association analyses (dpeaa)DE-He213 Local adaptation (dpeaa)DE-He213 EST-SSR (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Martin, Maria Ángela aut Solla, Alejandro aut Alcaide, Francisco aut Villani, Fiorella aut Cherubini, Marcello aut Neale, David aut Mattioni, Claudia aut Enthalten in Annals of forest science Paris : Springer, 1999 78(2021), 2 vom: 22. März (DE-627)312842457 (DE-600)2012340-1 1297-966X nnns volume:78 year:2021 number:2 day:22 month:03 https://dx.doi.org/10.1007/s13595-021-01027-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 78 2021 2 22 03
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source	Enthalten in Annals of forest science 78(2021), 2 vom: 22. März volume:78 year:2021 number:2 day:22 month:03
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title	Signatures of local adaptation to climate in natural populations of sweet chestnut (Castanea sativa Mill.) from southern Europe
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title_full	Signatures of local adaptation to climate in natural populations of sweet chestnut (Castanea sativa Mill.) from southern Europe
author_sort	Castellana, Simone
journal	Annals of forest science
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author_browse	Castellana, Simone Martin, Maria Ángela Solla, Alejandro Alcaide, Francisco Villani, Fiorella Cherubini, Marcello Neale, David Mattioni, Claudia
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title_sort	signatures of local adaptation to climate in natural populations of sweet chestnut (castanea sativa mill.) from southern europe
title_auth	Signatures of local adaptation to climate in natural populations of sweet chestnut (Castanea sativa Mill.) from southern Europe
abstract	• Key message Understanding the adaptive mechanisms of forest species is vital to ensure their survival in a climate change scenario. This study aimed at uncovering the relationship between genetic variability and environmental variables in naturalCastanea sativapopulations, unveiling how different climate scenarios drove local adaption processes using a landscape genomics approach. Our findings provide useful data for future management of this species. • Context Temperate forest species, such as chestnut (Castanea sativa Mill.), are currently threatened by increasing temperature together with disruption and reduction of precipitation due to climate change. In this context, understanding the adaptation processes of species will help to manage and ensure the conservation of forests. • Aims We studied the relationship between genetic variability and climate variables in natural populations of C. sativa using a landscape genomics approach aimed to identify local adaption processes. • Methods Using five genomic SSRs and eight functional EST-SSRs markers, 268 individuals belonging to ten different natural European chestnut populations distributed in contrasting climatic sites were genotyped. In addition, associations between allelic variation and climatic variables (environmental association analyses approach) were performed using Samβada and LFMM. • Results Results highlighted a strong inter-relationship between climate variables and evolutionary processes resulting in adaptive variation. STRUCTURE analysis based on functional markers split the populations in three separate gene pools (K = 3), mostly in agreement with the different climatic conditions existing in the studied areas. Divergent spatial patterns of genetic variation between rainy and arid areas were found. We detected a total of 202 associations with climate among 22 different alleles, 9% of which related with the outlier locus FIR059, known to be implicated in regulatory mechanisms during water stress adaptation processes. • Conclusion Landscape genomics analyses revealed a pattern of adaptive variation, where specific climatic variables influenced the frequencies distribution and fixation of several alleles, resulting in local adaptation processes of the populations in the investigated areas. Our findings underline the close inter-relationship existing between climate and genetic variability and indicate how this approach could provide valuable information for the management of forest species in a rapidly changing environment. © INRAE and Springer-Verlag France SAS, part of Springer Nature 2021
abstractGer	• Key message Understanding the adaptive mechanisms of forest species is vital to ensure their survival in a climate change scenario. This study aimed at uncovering the relationship between genetic variability and environmental variables in naturalCastanea sativapopulations, unveiling how different climate scenarios drove local adaption processes using a landscape genomics approach. Our findings provide useful data for future management of this species. • Context Temperate forest species, such as chestnut (Castanea sativa Mill.), are currently threatened by increasing temperature together with disruption and reduction of precipitation due to climate change. In this context, understanding the adaptation processes of species will help to manage and ensure the conservation of forests. • Aims We studied the relationship between genetic variability and climate variables in natural populations of C. sativa using a landscape genomics approach aimed to identify local adaption processes. • Methods Using five genomic SSRs and eight functional EST-SSRs markers, 268 individuals belonging to ten different natural European chestnut populations distributed in contrasting climatic sites were genotyped. In addition, associations between allelic variation and climatic variables (environmental association analyses approach) were performed using Samβada and LFMM. • Results Results highlighted a strong inter-relationship between climate variables and evolutionary processes resulting in adaptive variation. STRUCTURE analysis based on functional markers split the populations in three separate gene pools (K = 3), mostly in agreement with the different climatic conditions existing in the studied areas. Divergent spatial patterns of genetic variation between rainy and arid areas were found. We detected a total of 202 associations with climate among 22 different alleles, 9% of which related with the outlier locus FIR059, known to be implicated in regulatory mechanisms during water stress adaptation processes. • Conclusion Landscape genomics analyses revealed a pattern of adaptive variation, where specific climatic variables influenced the frequencies distribution and fixation of several alleles, resulting in local adaptation processes of the populations in the investigated areas. Our findings underline the close inter-relationship existing between climate and genetic variability and indicate how this approach could provide valuable information for the management of forest species in a rapidly changing environment. © INRAE and Springer-Verlag France SAS, part of Springer Nature 2021
abstract_unstemmed	• Key message Understanding the adaptive mechanisms of forest species is vital to ensure their survival in a climate change scenario. This study aimed at uncovering the relationship between genetic variability and environmental variables in naturalCastanea sativapopulations, unveiling how different climate scenarios drove local adaption processes using a landscape genomics approach. Our findings provide useful data for future management of this species. • Context Temperate forest species, such as chestnut (Castanea sativa Mill.), are currently threatened by increasing temperature together with disruption and reduction of precipitation due to climate change. In this context, understanding the adaptation processes of species will help to manage and ensure the conservation of forests. • Aims We studied the relationship between genetic variability and climate variables in natural populations of C. sativa using a landscape genomics approach aimed to identify local adaption processes. • Methods Using five genomic SSRs and eight functional EST-SSRs markers, 268 individuals belonging to ten different natural European chestnut populations distributed in contrasting climatic sites were genotyped. In addition, associations between allelic variation and climatic variables (environmental association analyses approach) were performed using Samβada and LFMM. • Results Results highlighted a strong inter-relationship between climate variables and evolutionary processes resulting in adaptive variation. STRUCTURE analysis based on functional markers split the populations in three separate gene pools (K = 3), mostly in agreement with the different climatic conditions existing in the studied areas. Divergent spatial patterns of genetic variation between rainy and arid areas were found. We detected a total of 202 associations with climate among 22 different alleles, 9% of which related with the outlier locus FIR059, known to be implicated in regulatory mechanisms during water stress adaptation processes. • Conclusion Landscape genomics analyses revealed a pattern of adaptive variation, where specific climatic variables influenced the frequencies distribution and fixation of several alleles, resulting in local adaptation processes of the populations in the investigated areas. Our findings underline the close inter-relationship existing between climate and genetic variability and indicate how this approach could provide valuable information for the management of forest species in a rapidly changing environment. © INRAE and Springer-Verlag France SAS, part of Springer Nature 2021
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title_short	Signatures of local adaptation to climate in natural populations of sweet chestnut (Castanea sativa Mill.) from southern Europe
url	https://dx.doi.org/10.1007/s13595-021-01027-6
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author2	Martin, Maria Ángela Solla, Alejandro Alcaide, Francisco Villani, Fiorella Cherubini, Marcello Neale, David Mattioni, Claudia
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