About: Genome sequencing and population genomics modeling provide insights into the local adaptation of weeping forsythia

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About: Genome sequencing and population genomics modeling provide insights into the local adaptation of weeping forsythia Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Genome sequencing and population genomics modeling provide insights into the local adaptation of weeping forsythia
Creator	Li, Yong Cushman, Samuel He, Yan-Xia Li, Lin-Feng
Source	Medline; PMC
abstract	Understanding the genetic basis underlying the local adaptation of nonmodel species is a fundamental goal in evolutionary biology. In this study, we explored the genetic mechanisms of the local adaptation of Forsythia suspensa using genome sequence and population genomics data obtained from specific-locus amplified fragment sequencing. We assembled a high-quality reference genome of weeping forsythia (Scaffold N50 = 7.3 Mb) using ultralong Nanopore reads. Then, genome-wide comparative analysis was performed for 15 natural populations of weeping forsythia across its current distribution range. Our results revealed that candidate genes associated with local adaptation are functionally correlated with solar radiation, temperature and water variables across heterogeneous environmental scenarios. In particular, solar radiation during the period of fruit development and seed drying after ripening, cold, and drought significantly contributed to the adaptive differentiation of F. suspensa. Natural selection exerted by environmental factors contributed substantially to the population genetic structure of F. suspensa. Our results supported the hypothesis that adaptive differentiation should be highly pronounced in the genes involved in signal crosstalk between different environmental variables. Our population genomics study of F. suspensa provides insights into the fundamental genetic mechanisms of the local adaptation of plant species to climatic gradients.
has issue date	2020-08-01(xsd:dateTime)
bibo:doi	10.1038/s41438-020-00352-7
bibo:pmid	32821413
has license	cc-by
sha1sum (hex)	e867e2ee1150829e8deeabecd4f8f6af3514160b
schema:url	https://doi.org/10.1038/s41438-020-00352-7
resource representing a document's title	Genome sequencing and population genomics modeling provide insights into the local adaptation of weeping forsythia
has PubMed Central identifier	PMC7395120
has PubMed identifier	32821413
schema:publication	Hortic Res
resource representing a document's body	covid:e867e2ee1150829e8deeabecd4f8f6af3514160b#body_text
is schema:about of	named entity 'fruit' named entity 'reads' named entity 'assembled' named entity 'forsythia' named entity 'species' named entity 'provide' named entity 'GRADIENTS' named entity 'NATURAL' named entity 'PLANT SPECIES' named entity 'LOCUS' named entity 'STUDY' named entity 'candidate' named entity 'period' named entity 'Our' named entity 'N50' named entity 'differentiation' named entity 'signal' named entity 'species' named entity 'solar radiation' named entity 'Forsythia suspensa' named entity 'drought' named entity 'highly' named entity 'differentiation' named entity 'temperature' named entity 'distribution range' named entity 'locus' named entity 'genome sequence' named entity 'genome-wide' named entity 'fruit' named entity 'genetic basis' named entity 'Natural selection' named entity 'population genetic structure' named entity 'high-quality' named entity 'population genomics' named entity 'adaptive' named entity 'selection pressures' named entity 'environmental factors' named entity 'genome' named entity 'interglacial' named entity 'genome assembly' named entity 'China' named entity 'ecological isolation' named entity 'sequencing data' named entity 'genome' named entity 'mixed model' named entity 'natural selection' named entity 'natural selection' named entity 'genetic structure' named entity 'reference genome' named entity 'Beijing' named entity 'genome size' named entity 'genome sequences' named entity 'Fraxinus' named entity 'population genetic structure' named entity 'gene' named entity 'medicinal plant' named entity 'loci' named entity 'PCA' named entity 'vapor pressure' named entity 'genome sequencing' named entity 'molecular markers' named entity 'transcription factor' named entity 'homologous' named entity 'genome' named entity 'Illumina' named entity 'minor allele frequency' named entity 'population genetic structure' named entity 'genomes' named entity 'solar radiation' named entity 'SLAF' named entity 'environmental factors' named entity 'SNPs' named entity 'genetic differentiation' named entity 'Biomarker' named entity 'genetic mechanisms' named entity 'population genetic' named entity 'genome' named entity 'clustering methods'

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