Ecological and genomic vulnerability to climate change across native populations of Robusta coffee (Coffea canephora)

Abstract

The assessment of population vulnerability under climate change is crucial for planning conservation as well as for ensuring food security. Coffea canephora is, in its native habitat, an understorey tree that is mainly distributed in the lowland rainforests of tropical Africa. Also known as Robusta, its commercial value constitutes a significant revenue for many human populations in tropical countries. Comparing ecological and genomic vulnerabilities within the species' native range can provide valuable insights about habitat loss and the species' adaptive potential, allowing to identify genotypes that may act as a resource for varietal improvement. By applying species distribution | 4125 TOURNEBIZE ET al.

Genome-Wide Admixture Mapping Identifies Wild Ancestry-of-Origin Segments in Cultivated Robusta Coffee

“…The native African Robusta individuals were classified into five groups that could be linked to geographical origins, and this genetic structure was perfectly congruent with previous study findings ( Tournebize et al 2022 ). The latest classification of C. canephora using 8.5 K SNP arrays ( Mérot-L’Anthoëne et al 2019 ) led to an eight-group classification, but the differentiation between groups O and B, E and R, and A and G was low, so they were clustered in this study and our previous study ( Tournebize et al 2022 ). The clustering of individuals of closely related groups was also due to bias toward one group when the other contained a small number of individuals.…”

“…We used two sets of accessions: (1) 55 previously sequenced wild C. canephora accessions from Africa ( Tournebize 2017 ; Tournebize et al 2022 ); and (2) ten newly sequenced cultivated C. canephora accessions from Vietnam. The wild African samples are representative of the native range of C. canephora .…”

Genomic vulnerability to climate change in Quercus acutissima, a dominant tree species in East Asian deciduous forests

“…Populations with greater mismatch (i.e., genetic offsets) in their genetic composition between current and future climates are expected to be more vulnerable to climate change. These approaches have been used to reveal the among‐population variation in the climatic response of plants, including forest trees (Dauphin et al, 2021; Pina‐Martins et al, 2019; Rellstab et al, 2016; Tournebize et al, 2022; Zhao et al, 2020), crops (Aguirre‐Liguori et al, 2019; Rhone et al, 2020), seaweed (Wood et al, 2021), fish (Layton et al, 2021) and birds (Bay et al, 2018; Ruegg et al, 2018). Given that multiple evolutionary forces can affect the species' response to climate change (Aguirre‐Liguori et al, 2021; Gougherty et al, 2021), Gougherty et al (2021) developed a predictive model to account for the impacts of local adaptation and migration on the fate of populations under future climatic conditions.…”

“…These approaches have been used to reveal the among-population variation in the climatic response of plants, including forest trees (Dauphin et al, 2021;Pina-Martins et al, 2019;Rellstab et al, 2016;Tournebize et al, 2022;Zhao et al, 2020), crops (Aguirre-Liguori et al, 2019;Rhone et al, 2020), seaweed (Wood et al, 2021), fish (Layton et al, 2021) and birds (Bay et al, 2018;Ruegg et al, 2018).…”

Systematic Description of the Content Variation of Natural Products (NPs): To Prompt the Yield of High-Value NPs and the Discovery of New Therapeutics

“…25−27 However, significant NP content variation (mediated by abiotic and biotic factors) 28−30 may significantly affect the "return on investment" of NP-based industries 31 and render ecological systems severely vulnerable. 28 Therefore, many studies have been conducted to identify the mechanisms underlying variations in certain NP content. 32 These mechanisms include molecular regulation, 33 species factor, 34 environmental conditions, 35 and combined factor.…”