Genomic Evaluation of <i>Coffea arabica</i> and Its Wild Relative <i>Coffea racemosa</i> in Mozambique: Settling Resilience Keys for the Coffee Crop in the Context of Climate Change
Climate change is negatively affecting the coffee value chain, with a direct effect on approximately 100 million people from 80 countries. This has been attributed to the high vulnerability of the two-mainstream species, <i>Coffea arabica</i> and <i>Coffea canephora</i>, to e...
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| Format: | Article |
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MDPI AG
2023-05-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/12/10/2044 |
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| author | Inocência da Piedade Ernesto Tapaça Lopes Mavuque Riccardo Corti Samuele Pedrazzani Ivete S. A. Maquia Castigo Tongai Fábio Luiz Partelli José C. Ramalho Isabel Marques Ana I. Ribeiro-Barros |
| author_facet | Inocência da Piedade Ernesto Tapaça Lopes Mavuque Riccardo Corti Samuele Pedrazzani Ivete S. A. Maquia Castigo Tongai Fábio Luiz Partelli José C. Ramalho Isabel Marques Ana I. Ribeiro-Barros |
| author_sort | Inocência da Piedade Ernesto Tapaça |
| collection | DOAJ |
| description | Climate change is negatively affecting the coffee value chain, with a direct effect on approximately 100 million people from 80 countries. This has been attributed to the high vulnerability of the two-mainstream species, <i>Coffea arabica</i> and <i>Coffea canephora</i>, to extreme weather events, with notable uneven increases in market prices. Taking into account the narrow genetic plasticity of the commercial coffee cultivars, wild-relatives and underutilized <i>Coffea</i> species are valuable genetic resources. In this work, we have assessed the occurrence of <i>Coffea</i> species in to understand the degree of genetic relationships between <i>Coffea</i> species in the country, as well as the patterns of genetic diversity, differentiation, and genetic structure. Only one wild species was found, <i>C. racemosa</i>, which showed a high level of genetic separation with <i>C. arabica</i>, based on plastid, as well as SSR and SNP analysis. <i>C. arabica</i> presented low levels of diversity likely related to their autogamous nature, while the allogamous <i>C. racemosa</i> presented higher levels of diversity and heterozygosity. The analysis of the functional pathways based on SNPs suggests that the stress signaling pathways are more robust in this species. This novel approach shows that it is vital to introduce more resilient species and increase genomic diversity in climate-smart practices. |
| first_indexed | 2024-03-11T03:23:16Z |
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| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-11T03:23:16Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj.art-43178c19b2c34ccb80c5d98b9f74bd562023-11-18T02:56:50ZengMDPI AGPlants2223-77472023-05-011210204410.3390/plants12102044Genomic Evaluation of <i>Coffea arabica</i> and Its Wild Relative <i>Coffea racemosa</i> in Mozambique: Settling Resilience Keys for the Coffee Crop in the Context of Climate ChangeInocência da Piedade Ernesto Tapaça0Lopes Mavuque1Riccardo Corti2Samuele Pedrazzani3Ivete S. A. Maquia4Castigo Tongai5Fábio Luiz Partelli6José C. Ramalho7Isabel Marques8Ana I. Ribeiro-Barros9Forest Research Center (CEF), Associate Laboratory TERRA, Instituto Superior de Agronomia (ISA), Universidade de Lisboa (UL), Tapada da Ajuda, 1349-017 Lisbon, PortugalForest Research Center (CEF), Associate Laboratory TERRA, Instituto Superior de Agronomia (ISA), Universidade de Lisboa (UL), Tapada da Ajuda, 1349-017 Lisbon, PortugalForest Research Center (CEF), Associate Laboratory TERRA, Instituto Superior de Agronomia (ISA), Universidade de Lisboa (UL), Tapada da Ajuda, 1349-017 Lisbon, PortugalForest Research Center (CEF), Associate Laboratory TERRA, Instituto Superior de Agronomia (ISA), Universidade de Lisboa (UL), Tapada da Ajuda, 1349-017 Lisbon, PortugalForest Research Center (CEF), Associate Laboratory TERRA, Instituto Superior de Agronomia (ISA), Universidade de Lisboa (UL), Tapada da Ajuda, 1349-017 Lisbon, PortugalForest Research Center (CEF), Associate Laboratory TERRA, Instituto Superior de Agronomia (ISA), Universidade de Lisboa (UL), Tapada da Ajuda, 1349-017 Lisbon, PortugalCentro Universitário do Norte do Espírito Santo (CEUNES), Departmento Ciências Agrárias e Biológicas (DCAB), Universidade Federal Espírito Santo (UFES), Rodovia BR 101 Norte, Km 60, Bairro Litorâneo, São Mateus 29932-540, ES, BrazilForest Research Center (CEF), Associate Laboratory TERRA, Instituto Superior de Agronomia (ISA), Universidade de Lisboa (UL), Tapada da Ajuda, 1349-017 Lisbon, PortugalForest Research Center (CEF), Associate Laboratory TERRA, Instituto Superior de Agronomia (ISA), Universidade de Lisboa (UL), Tapada da Ajuda, 1349-017 Lisbon, PortugalForest Research Center (CEF), Associate Laboratory TERRA, Instituto Superior de Agronomia (ISA), Universidade de Lisboa (UL), Tapada da Ajuda, 1349-017 Lisbon, PortugalClimate change is negatively affecting the coffee value chain, with a direct effect on approximately 100 million people from 80 countries. This has been attributed to the high vulnerability of the two-mainstream species, <i>Coffea arabica</i> and <i>Coffea canephora</i>, to extreme weather events, with notable uneven increases in market prices. Taking into account the narrow genetic plasticity of the commercial coffee cultivars, wild-relatives and underutilized <i>Coffea</i> species are valuable genetic resources. In this work, we have assessed the occurrence of <i>Coffea</i> species in to understand the degree of genetic relationships between <i>Coffea</i> species in the country, as well as the patterns of genetic diversity, differentiation, and genetic structure. Only one wild species was found, <i>C. racemosa</i>, which showed a high level of genetic separation with <i>C. arabica</i>, based on plastid, as well as SSR and SNP analysis. <i>C. arabica</i> presented low levels of diversity likely related to their autogamous nature, while the allogamous <i>C. racemosa</i> presented higher levels of diversity and heterozygosity. The analysis of the functional pathways based on SNPs suggests that the stress signaling pathways are more robust in this species. This novel approach shows that it is vital to introduce more resilient species and increase genomic diversity in climate-smart practices.https://www.mdpi.com/2223-7747/12/10/2044agroforestry systemscoffeegenetic diversitymicrosatellitesSNPsMozambique |
| spellingShingle | Inocência da Piedade Ernesto Tapaça Lopes Mavuque Riccardo Corti Samuele Pedrazzani Ivete S. A. Maquia Castigo Tongai Fábio Luiz Partelli José C. Ramalho Isabel Marques Ana I. Ribeiro-Barros Genomic Evaluation of <i>Coffea arabica</i> and Its Wild Relative <i>Coffea racemosa</i> in Mozambique: Settling Resilience Keys for the Coffee Crop in the Context of Climate Change Plants agroforestry systems coffee genetic diversity microsatellites SNPs Mozambique |
| title | Genomic Evaluation of <i>Coffea arabica</i> and Its Wild Relative <i>Coffea racemosa</i> in Mozambique: Settling Resilience Keys for the Coffee Crop in the Context of Climate Change |
| title_full | Genomic Evaluation of <i>Coffea arabica</i> and Its Wild Relative <i>Coffea racemosa</i> in Mozambique: Settling Resilience Keys for the Coffee Crop in the Context of Climate Change |
| title_fullStr | Genomic Evaluation of <i>Coffea arabica</i> and Its Wild Relative <i>Coffea racemosa</i> in Mozambique: Settling Resilience Keys for the Coffee Crop in the Context of Climate Change |
| title_full_unstemmed | Genomic Evaluation of <i>Coffea arabica</i> and Its Wild Relative <i>Coffea racemosa</i> in Mozambique: Settling Resilience Keys for the Coffee Crop in the Context of Climate Change |
| title_short | Genomic Evaluation of <i>Coffea arabica</i> and Its Wild Relative <i>Coffea racemosa</i> in Mozambique: Settling Resilience Keys for the Coffee Crop in the Context of Climate Change |
| title_sort | genomic evaluation of i coffea arabica i and its wild relative i coffea racemosa i in mozambique settling resilience keys for the coffee crop in the context of climate change |
| topic | agroforestry systems coffee genetic diversity microsatellites SNPs Mozambique |
| url | https://www.mdpi.com/2223-7747/12/10/2044 |
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