H2020Индивидуална стипендия2022–2025

SAL-MOVE · Migration timing genotype as a predictor of salmon vulnerability to environmental change

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2022-04-01 → 2025-03-31
Финансиране от ЕС
258 498 €
Участници
2
Схема
MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Генетиката на атлантическата сьомга определя кога тя мигрира между река и океан, което влияе върху оцеляването ѝ при промяна на климата. Разбирането на тези процеси помага за опазването на вида и поддържането на местните риболовни стопанства.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Migration timing genotype as a predictor of salmon vulnerability to environmental change

As the climate changes, species increasingly experience mismatches between seasonally timed movements and conditions encountered. How and whether they can adjust their timing to overcome this mismatch depends on how it is shaped by genetics. The long-distance ocean and river migrations of Atlantic salmon (Salmo salar) are an example of such movements. Salmon spend the first part of their life in freshwater, then migrate out to the ocean where they feed and grow before returning to their home river to breed. To successfully complete this life cycle they need to match timing of their juvenile migration out to the ocean and their adult migration back to the river with conditions that enable their survival and reproductive success. By combining genetics, climate change projections and machine-learning, project SAL-MOVE aimed to predict how Atlantic salmon populations will be globally impacted by human-induced changes through their migration. Results from this project can help manage and conserve populations of Atlantic salmon that are declining across their range, ensuring the sustainability of fisheries that support indigenous communities and local economies through tourism and fishing. The societal importance also extends to addressing complex environmental challenges through international collaboration, contributing to the preservation of biodiversity in a rapidly changing environment. The three inter-related objectives of SAL-MOVE were: O1: To identify the environmental correlates of Atlantic salmon run timing throughout the species’ range O2: To characterise the genomic architecture of run timing throughout the species’ range O3: To combine the outcomes of O1 and O2 in a modelling framework to predict the migration-mediated vulnerability of Atlantic salmon populations to future environmental change To achieve these objectives, SAL-MOVE created a large network of Atlantic salmon researchers and biologists from 8 countries: Norway, Canada, Iceland, France, Finland, Ireland and the UK. This collaboration shared scientific resources, including genetic samples and data on migration timing for young salmon (smolts) and adults.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

As the global environment changes, species are increasingly suffering mismatches between their seasonally timed movements and the conditions that they encounter. The long-distance migrations of Atlantic salmon (Salmo salar) from their natal rivers to their marine feeding grounds and back again are a charismatic example of such seasonally timed movements. The timings of both the outward and return migrations are heritable, and vary substantially within and among populations, likely reflecting selection to enter the marine environment when survival conditions are optimal and return to the freshwater when breeding success is maximized. Importantly, salmon cannot observe the conditions at their destination and must rely on proximate cues, in particular photoperiod, to schedule their migration. Globally, salmon migrations have advanced over recent decades, suggesting that phenological mismatch could be a factor in ongoing Atlantic salmon declines.How and whether a species can adjust its migratory timing to match new conditions depends on the underlying genetic architecture of this timing. SAL-MOVE will establish a global collaborative network of salmon researchers, collate existing datasets, and apply state-of-the-art genomic analysis to characterize the environmental correlates and genetic basis of Atlantic salmon migration timing throughout its range. This information will be combined with future climate scenarios in an eco-evolutionary modelling framework to predict how Atlantic salmon populations will be impacted by anthropogenic change via their migration phenotypes and genotypes. Results from SAL-MOVE will be used to directly guide management actions intended to increase the security of wild Atlantic salmon.

Оригинален текст от CORDIS (на английски).

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Данни: CORDIS, © Европейски съюз