H2020Индивидуална стипендия2017–2019

FORGENET · A novel approach for detecting polygenic adaptation applied to FORest tree candidate GEne NETworks

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

Период: 2017-09-01 → 2019-10-01
Финансиране от ЕС: 175 420 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Генните мрежи при дървета като бялата ела помагат за разбирането на адаптацията към сушата. Анализът на взаимодействията между множество гени позволява по-точно да се открие как видовете се приспособяват към променящата се околна среда.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

A novel approach for detecting polygenic adaptation applied to FORest tree candidate GEne NETworks

Unravelling the mechanisms of selection that allow species to adapt to changing environments has been a perpetual goal of evolutionary genetics. A current paradigm shift seems to radically change our view regarding the major mechanisms of evolutionary change. Ample experimental data indicates that most traits that potentially play a role in adaptations are controlled by many genes and that most adaptation events in natural populations are reached via so-called polygenic adaptation, involving small changes at multiple genes at a time. FORGENET explored the statistical performance of several tests to detect the genomic signature of polygenic adaptation in simulated data sets. We addressed the question how gene flow and recombination between loci can influence the power and the false positive rate of single locus and pairwise tests. Single locus tests are based on the idea that there are major genes underlying ecological traits. Pairwise tests are based on detecting non-random associations between loci among populations, thereby allow to reveal the signature of selection on gene interactions. We found that pairwise tests are more powerful in most scenarios than single locus tests, notably when selection is recent, when there is a high gene flow, and when there are epistatic interactions between genes. The methods we developed and tested are implemented in software tools. Significant progress have been made to better understand drought adaptation in a European conifer, Abies alba. We illustrate the method to detect selection on gene interactions using the example of adaptation to the photoperiod in Arabidopsis thaliana and Populus tremula.

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

Цел на проекта

Unravelling the mechanisms of selection that allow species to adapt to changing environments has been a perpetual goal of evolutionary genetics. A current paradigm shift seems to radically change our view regarding the major mechanisms of evolutionary change. Ample experimental data indicates that most traits that potentially play a role in adaptations are controlled by many genes that may not act independently, but as members of complex gene interaction networks. Thus, it is widely agreed that most adaptation events in natural populations are reached via so-called polygenic adaptation, involving small changes at multiple genes at a time. Nevertheless, methods are still lacking to detect such adaptive gene associations. The main objective of FORGENET is to propose NetAdapt, a network-based test of polygenic selection for candidate-gene data. NetAdapt exploits candidate-gene data both as genotype and functional genomic data. First, based on the functional genomic information inherent to candidate gene data, it proposes to construct a gene interaction network, whose topology can be used to define a null hypothesis of neutrality. Second, based on the genotype data, it proposes a test for detecting selection on gene interactions, i.e. epistatic selection, based on linkage disequilibrium statistics. NetAdapt is expected to enhance our understanding how selection acts on gene networks and to propose new candidate genes for future genotyping. NetAdapt will be applied to published data on coniferous forest trees that have been genotyped from haploid tissue, which offers a straightforward application. Many conifers are endangered by climate change and estimating their adaptability is an important European research priority. FORGENET will study the evolution of flowering time genes at spruces along latitudinal gradients, and drought tolerance in Mediterranean pine species.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITAT ZURICH · ZurichКоординаторШвейцария