Fabio Morgante

Works (5)

Updated: July 5th, 2023 15:40

2020 journal article

Gene expression networks in the Drosophila Genetic Reference Panel

GENOME RESEARCH, 30(3), 485–496.

By: L. Everett n, W. Huang n, S. Zhou n, M. Carbone n, R. Lyman n, G. Arya n, M. Geisz n, J. Ma * ...

MeSH headings : Animals; DNA Transposable Elements; Drosophila melanogaster / genetics; Drosophila melanogaster / metabolism; Drosophila melanogaster / microbiology; Female; Gene Expression Regulation; Gene Regulatory Networks; Genetic Variation; High-Throughput Nucleotide Sequencing; Male; Microbiota / genetics; Quantitative Trait Loci; Sequence Analysis, RNA
TL;DR: This study performed deep RNA sequencing of 200 Drosophila Genetic Reference Panel inbred lines with complete genome sequences and mapped expression quantitative trait loci for annotated genes, novel transcribed regions, transposable elements and microbial species, providing new insights regarding the role of natural genetic variation in regulating gene expression. (via Semantic Scholar)
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Source: Web Of Science
Added: April 14, 2020

2020 journal article

Leveraging Multiple Layers of Data To Predict Drosophila Complex Traits

G3-GENES GENOMES GENETICS, 10(12), 4599–4613.

By: F. Morgante n, W. Huang n, P. Sorensen *, C. Maltecca n  & T. Mackay n

Contributors: F. Morgante n, W. Huang n, P. Sørensen *, C. Maltecca n  & T. Mackay  n

author keywords: Genomic prediction; Transcriptomic prediction; Gene Ontology informed prediction; Drosophila Genetic Reference Panel; GenPred; Shared data resources
MeSH headings : Animals; Drosophila; Drosophila melanogaster / genetics; Female; Genotype; Male; Models, Genetic; Multifactorial Inheritance; Phenotype; Polymorphism, Single Nucleotide
TL;DR: This study shows that integrating different sources of information can improve prediction accuracy, especially when large samples are not available, as well as a limited number of GO terms were strongly predictive of the traits. (via Semantic Scholar)
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2. Zero Hunger (OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: January 4, 2021

2019 journal article

Systems genetics of the Drosophila metabolome

GENOME RESEARCH, 30(3), 392–405.

By: S. Zhou n, F. Morgante n, M. Geisz n, J. Ma *, R. Anholt n & T. Mackay n

MeSH headings : Animals; Drosophila melanogaster / genetics; Drosophila melanogaster / metabolism; Female; Genetic Association Studies; Genetic Variation; Male; Metabolome / genetics; Phenotype; Quantitative Trait Loci
TL;DR: This work identified sex-specific modules of genetically correlated metabolites and constructed networks that integrate DNA sequence variation and variation in gene expression with variation in metabolites and organismal traits, including starvation stress resistance and male aggression. (via Semantic Scholar)
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Source: Web Of Science
Added: April 14, 2020

2015 journal article

Genetic Architecture of Micro-Environmental Plasticity in Drosophila melanogaster

Scientific Reports, 5(1).

By: F. Morgante*, P. Sørensen *, D. Sorensen *, C. Maltecca*  & T. Mackay*

Contributors: F. Morgante*, P. Sørensen *, D. Sorensen *, C. Maltecca*  & T. Mackay *

MeSH headings : Acclimatization / genetics; Animals; Cell Plasticity / genetics; Drosophila Proteins / genetics; Drosophila melanogaster / genetics; Ecosystem; Gene-Environment Interaction; Genetic Fitness / genetics; Quantitative Trait Loci / genetics
TL;DR: This work quantified genetic variation for micro-environmental plasticity for three quantitative traits in the inbred, sequenced lines of the Drosophila melanogaster Genetic Reference Panel and identified several candidate genes associated with micro-Environmental plasticity of startle response, including Drosophile Hsp90. (via Semantic Scholar)
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13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID, Crossref
Added: August 6, 2018

journal article

Genetic control of environmental variation of two quantitative traits of Drosophila melanogaster revealed by whole-genome sequencing

Sorensen, P., Campos, G., Morgante, F., Mackay, T. F. C., & Sorensen, D. Genetics, 201(2), 487-.

By: P. Sorensen, G. Campos, F. Morgante, T. Mackay & D. Sorensen

Source: NC State University Libraries
Added: August 6, 2018

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