Phylogenetic diversity and conservation of crop wild relatives in Colombia

Unveiling evolutionary cradles and museums of flowering plants in a neotropical biodiversity hotspot

Colombia, renowned as an important centre of global biodiversity, continues to harbour undiscovered evolutionary hotspots of flowering plants. The altitude-dependent hypothesis suggests that richness patterns are determined by altitude and probably influenced by climate variables. This study employs null models based on a species-level phylogeny of Colombia's flowering plants and their geographical distributions to identify evolutionary hotspots. We explore the potential correlation between elevation, climate variables such as temperature and rainfall, and the location and nature of these hotspots. The findings reveal that evolutionary cradles, which house young endemic species, are predominantly located in the mountainous regions of the Andes. Conversely, evolutionary museums, hosting older endemic species, are found in lowland regions spanning the Caribbean, Orinoco, Amazon and Pacific areas. These results demonstrate a clear elevational segregation of evolutionary hotspots, primarily influenced by temperature, thereby supporting the hypothesis under examination. Furthermore, this study identifies previously unrecognized evolutionary regions, highlighting the limited understanding of Colombia's biodiversity distribution and evolutionary history.

Prioritizing Colombian plant genetic resources for investment in research using indicators about the geographic origin, vulnerability status, economic benefits, and food security importance

Germplasm banks are the most significant repository for plant genetic resources for food and agriculture (PGRFA) worldwide. Despite their strategic importance, national germplasm banks of tropical megadiverse developing countries such as Colombia have extremely limited funds. Therefore, making strategic decisions about research investment is essential. Here, we designed a data-driven approach to build an index that sorts Colombian PGRFA into three groups: high, medium, or low priority, based on four pillars of information from open-access databases and aligned with the sustainable goals of no poverty and zero hunger: Geographic origin, vulnerability status, economic benefits, and food security importance. We analyzed 345 PGRFA using the index, separating them into two groups, 275 already conserved in the Colombian germplasm bank (BGVCOL group) and 70 not currently conserved in the BGVCOL (NCB group). We used fuzzy logic to classify each PGRFA by each pillar and integrate it to obtain a priority index. Missing data for native crops were frequent in the BGVCOL group. Therefore we adopted an imputation strategy to fill the gaps and calculated the uncertainty. After applying the index, PGRFA with higher priority were 24 (8.72%) from the BGVCOL (i.e., 15 potatoes, three tomatoes, two tree tomatoes, pineapple, cocoa, papaya, and yacon) and one from NCB (i.e., coffee). We concluded that this methodology successfully prioritized PGRFA in Colombia and shows the big holes of knowledge for future research and alternatives to improve this index. The versatility of this methodology could be helpful in other genebanks with budget limitations for research investment.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10531-023-02599-7.

Application of crop wild relatives in modern breeding: An overview of resources, experimental and computational methodologies

Global agricultural industries are under pressure to meet the future food demand; however, the existing crop genetic diversity might not be sufficient to meet this expectation. Advances in genome sequencing technologies and availability of reference genomes for over 300 plant species reveals the hidden genetic diversity in crop wild relatives (CWRs), which could have significant impacts in crop improvement. There are many ex-situ and in-situ resources around the world holding rare and valuable wild species, of which many carry agronomically important traits and it is crucial for users to be aware of their availability. Here we aim to explore the available ex-/in- situ resources such as genebanks, botanical gardens, national parks, conservation hotspots and inventories holding CWR accessions. In addition we highlight the advances in availability and use of CWR genomic resources, such as their contribution in pangenome construction and introducing novel genes into crops. We also discuss the potential and challenges of modern breeding experimental approaches (e.g. de novo domestication, genome editing and speed breeding) used in CWRs and the use of computational (e.g. machine learning) approaches that could speed up utilization of CWR species in breeding programs towards crop adaptability and yield improvement.

Evolutionary Genetics of Crop-Wild Complexes

Since Darwin's time, the role of crop wild relatives (CWR), landraces, and cultivated genepools in shaping plant diversity and boosting food resources has been a major question [...].