Biology subjects

Caldeira, C. F.

Publications and source records attributed to Caldeira, C. F..

3 recordsLinked to original sources

bioRxiv2020

Elevated temperatures impose transcriptional constraints on coffee genotypes and elicit intraspecific differences in thermoregulation

The projected impact of global warming on coffee production may require the heat-adapted genotypes in the next decades. To identify thermotolerance cellular strategies, we compared the effect of elevated temperature on two commercial Coffea arabica L. genotypes exploring leaf physiology, transcriptome and carbohydrate/protein composition. Growth temperatures were 23/19{degrees}C (day/night), as optimal condition (OpT), and 30/26{degrees}C (day/night) as a possible warmer scenario (WaT). The cv. Acaua showed lower levels of leaf temperature under both conditions compared to cv. Catuai, whereas slightly or no differences for other leaf physiological parameters. Therefore, to explore thermoregulatory pathways the leaf transcriptome was examined using RNAseq. Genotypes showed a marked number of differentially-expressed genes (DEGs) under OpT, however DEGs strongly decrease in both at WaT condition indicating a transcriptional constraint. DEGs responsive to WaT revealed shared and genotype-specific genes mostly related to carbohydrate metabolism. Under OpT, leaf starch content was greater in cv. Acaua although the levels of leaf starch, sucrose, and leaf protein decreased in both genotypes as WaT was imposed. These findings indicate that genotypes with a greater capacity to maintain carbohydrate homeostasis under temperature fluctuations could be more thermotolerant and which may be useful in breeding for a changing climate. HIGHLIGHTIn response to warming, transcriptional differences decrease in coffee genotypes hampering breeding programs. Differences in gene expression and sugar levels confirm intraspecific variation associating thermotolerance to maintenance of energetic homeostasis.

plant biology↗

bioRxiv2019

Combining genotype, phenotype, and environmental data to delineate site-adjusted provenance strategies for ecological restoration

Despite the importance of climate-adjusted provenancing to mitigate the effects of environmental change, climatic considerations alone are insufficient when restoring highly degraded sites. Here we propose a comprehensive landscape genomic approach to assist the restoration of moderately disturbed and highly degraded sites. To illustrate it we employ genomic datasets comprising thousands of single nucleotide polymorphisms from two plant species suitable for the restoration of iron-rich Amazonian Savannas. We first use a subset of neutral loci to assess genetic structure and determine the genetic neighborhood size. We then identify genotype-phenotype-environment associations, map adaptive genetic variation, and predict adaptive genotypes for restoration sites. Whereas local provenances were found optimal to restore a moderately disturbed site, a mixture of genotypes seemed the most promising strategy to recover a highly degraded mining site. We discuss how our results can help define site-adjusted provenancing strategies, and argue that our methods can be more broadly applied to assist other restoration initiatives.

ecology↗

bioRxiv2019

Habitat loss does not always entail negative genetic consequences

Although habitat loss has large, consistently negative effects on biodiversity, its genetic consequences are not yet fully understood. In this paper, we assess the genetic consequences of extreme habitat loss driven by mining in two endemic plants from Amazonian Savannas. Our analyses are the first to overcome major methodological limitations like the confounding effect of habitat fragmentation, historical processes underpinning genetic differentiation, time-lags between the onset of disturbances and genetic outcomes, and the need for large numbers of samples, genetic markers and replicated landscapes to ensure sufficient statistical power. We found that both species are remarkably resilient, as genetic diversity and gene flow patterns were unaffected by habitat loss. Our study unambiguously demonstrates that it is not possible to generalize about the genetic consequences of habitat loss, and imply that future conservation efforts need to consider species-specific genetic information.

ecology↗