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      Natural genetic variation as a tool for discovery in Caenorhabditis nematodes

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          Abstract

          Over the last 20 years, studies of Caenorhabditis elegans natural diversity have demonstrated the power of quantitative genetic approaches to reveal the evolutionary, ecological, and genetic factors that shape traits. These studies complement the use of the laboratory-adapted strain N2 and enable additional discoveries not possible using only one genetic background. In this chapter, we describe how to perform quantitative genetic studies in Caenorhabditis, with an emphasis on C. elegans. These approaches use correlations between genotype and phenotype across populations of genetically diverse individuals to discover the genetic causes of phenotypic variation. We present methods that use linkage, near-isogenic lines, association, and bulk-segregant mapping, and we describe the advantages and disadvantages of each approach. The power of C. elegans quantitative genetic mapping is best shown in the ability to connect phenotypic differences to specific genes and variants. We will present methods to narrow genomic regions to candidate genes and then tests to identify the gene or variant involved in a quantitative trait. The same features that make C. elegans a preeminent experimental model animal contribute to its exceptional value as a tool to understand natural phenotypic variation.

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          Epistasis--the essential role of gene interactions in the structure and evolution of genetic systems.

          Epistasis, or interactions between genes, has long been recognized as fundamentally important to understanding the structure and function of genetic pathways and the evolutionary dynamics of complex genetic systems. With the advent of high-throughput functional genomics and the emergence of systems approaches to biology, as well as a new-found ability to pursue the genetic basis of evolution down to specific molecular changes, there is a renewed appreciation both for the importance of studying gene interactions and for addressing these questions in a unified, quantitative manner.
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            The QTN program and the alleles that matter for evolution: all that's gold does not glitter.

            The search for the alleles that matter, the quantitative trait nucleotides (QTNs) that underlie heritable variation within populations and divergence among them, is a popular pursuit. But what is the question to which QTNs are the answer? Although their pursuit is often invoked as a means of addressing the molecular basis of phenotypic evolution or of estimating the roles of evolutionary forces, the QTNs that are accessible to experimentalists, QTNs of relatively large effect, may be uninformative about these issues if large-effect variants are unrepresentative of the alleles that matter. Although 20th century evolutionary biology generally viewed large-effect variants as atypical, the field has recently undergone a quiet realignment toward a view of readily discoverable large-effect alleles as the primary molecular substrates for evolution. I argue that neither theory nor data justify this realignment. Models and experimental findings covering broad swaths of evolutionary phenomena suggest that evolution often acts via large numbers of small-effect polygenes, individually undetectable. Moreover, these small-effect variants are different in kind, at the molecular level, from the large-effect alleles accessible to experimentalists. Although discoverable QTNs address some fundamental evolutionary questions, they are essentially misleading about many others. © 2011 The Author(s). Evolution © 2011 The Society for the Study of Evolution.
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              FTO Obesity Variant Circuitry and Adipocyte Browning in Humans.

              Genomewide association studies can be used to identify disease-relevant genomic regions, but interpretation of the data is challenging. The FTO region harbors the strongest genetic association with obesity, yet the mechanistic basis of this association remains elusive.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                Genetics
                Genetics
                genetics
                Genetics
                Oxford University Press
                0016-6731
                1943-2631
                January 2022
                04 January 2022
                04 January 2022
                : 220
                : 1
                : iyab156
                Affiliations
                [1 ] Department of Molecular Biosciences, Northwestern University , Evanston, IL 60201, USA
                [2 ] Department of Biology and Center for Genomics & Systems Biology, New York University , New York, NY 10003, USA
                Author notes
                Author information
                https://orcid.org/0000-0003-0229-9651
                https://orcid.org/0000-0001-6492-8906
                Article
                iyab156
                10.1093/genetics/iyab156
                8733454
                35134197
                e1a6015f-849b-43eb-8936-e8003157ed99
                © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 June 2021
                : 11 September 2021
                Page count
                Pages: 23
                Funding
                Funded by: Natural Diversity Resource;
                Funded by: NSF Collections in Support of Biological Research—Living Collections;
                Award ID: 1930382
                Funded by: NIH, DOI 10.13039/100000002;
                Funded by: NIEHS, DOI 10.13039/100000066;
                Award ID: ES029930
                Funded by: Human Frontiers Science Program Award;
                Award ID: RGP0001/2019
                Funded by: NSF CAREER Award;
                Award ID: 1751035
                Funded by: NIGMS, DOI 10.13039/100000057;
                Award ID: GM141906
                Funded by: NIEHS, DOI 10.13039/100000066;
                Award ID: ES031364
                Categories
                Wormbook
                Evolution and Ecology
                AcademicSubjects/SCI01180
                AcademicSubjects/SCI01140
                AcademicSubjects/SCI00010
                AcademicSubjects/SCI00960

                Genetics
                caenorhabditis,quantitative genetics,qtl mapping,recombinant inbred lines,genetic variation,wormbook

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