Examinando por Autor "Iriondo, José María"

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Assisted gene flow management to climate change in the annual legume Lupinus angustifolius L.: from phenotype to genotype
(Wiley, 2025-03-06) Sacristán-Bajo, Sandra; Lara-Romero, Carlos; Garcia-Fernández, Alfredo; Prieto-Benitez, Samuel; Morente-Lopez, Javier; Rubio Teso, María Luisa; Torres, Elena; Iriondo, José María
Climate change may hinder species' ability to evolutionarily adapt to environmental shifts. Assisted gene flow, introducingadaptive alleles into target populations, could be a viable solution for keystone species. Our study aimed to evaluate the benefitsand limitations of assisted gene flow in enhancing the evolutionary potential of Lupinus angustifolius L. (Fabaceae), consideringboth phenotypic and genomic perspectives. We collected seeds from four populations in Spain at two latitudes (north and south),and grew them in a common garden. We used pollen from southern individuals to pollinate northern plants and create an F1gene flow line that would advance its flowering onset. In the next season, we allowed F1 plants to self-pollinate creating an F2self-pollination line. We also created a backcross line by pollinating control northern plants with pollen from F1 plants. We meas-ured flowering onset, reproductive success, and other plant traits in all resulting lines. In parallel, we sequenced genes related toreproduction, growth, stress, nitrogen, and alkaloids. All gene flow-derived lines flowered significantly earlier than the controllines from the northern populations. F1 gene flow line plants produced heavier seeds and had a lower shoot growth than thosefrom the northern control lines. Genomic analyses identified 36 outlier SNPs between the control and the F1 gene flow lines,associated with differences in flowering onset, seed weight, and shoot growth. These results underscore that assisted gene flowcan enhance a population's evolutionary potential by altering specific traits. However, altering one trait may impact others in away that depends on the intrinsic characteristics of each population.
Colecciones de ejercicios de la asignatura de Biología de la Conservación
(2023-02) Cayuela, Luis; Iriondo, José María
Colección de ejercicios (prácticas) de la asignatura de Biología de la Conservación del Grado en Biología. El material recogido incluye los guiones de las cinco prácticas realizadas en la asignatura.
Ranking of critical species to preserve the functionality of mutualistic networks using the k-core decomposition
(PeerJ, 2017-05) García-Algarra, Javier; Pastor, Juan Manuel; Iriondo, José María; Galeano, Javier
Background. Network analysis has become a relevant approach to analyze cascading species extinctions resulting from perturbations on mutualistic interactions as a result of environmental change. In this context, it is essential to be able to point out key species, whose stability would prevent cascading extinctions, and the consequent loss of ecosystem function. In this study, we aim to explain how the k-core decomposition sheds light on the understanding the robustness of bipartite mutualistic networks. Methods.Wedefined three k-magnitudes based on the k-core decomposition: k-radius, k-degree, and k-risk. The first one, k-radius, quantifies the distance from a node to the innermost shell of the partner guild, while k-degree provides a measure of centrality in the k-shell based decomposition. k-risk is a way to measure the vulnerability of a network to the loss of a particular species. Using these magnitudes we analyzed 89 mutualistic networks involving plant pollinators or seed dispersers. Two static extinction procedures were implemented in which k-degree and k-risk were compared against other commonly used ranking indexes, as for example MusRank, explained in detail in Material and Methods. Results. When extinctions take place in both guilds, k-risk is the best ranking index if the goal is to identify the key species to preserve the giant component. When species are removed only in the primary class and cascading extinctions are measured in the secondary class, the most effective ranking index to identify the key species to preserve the giant component is k-degree. However, MusRank index was more effective when the goal is to identify the key species to preserve the greatest species richness in the second class. Discussion. The k-core decomposition offers a new topological view of the structure of mutualistic networks. The new k-radius, k-degree and k-risk magnitudes take advantage of its properties and provide new insight into the structure of mutualistic networks. The k-risk and k-degree ranking indexes are especially effective approaches to identify key species to preserve when conservation practitioners focus on the preservation of ecosystem functionality over species richness.