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      A carnivorous plant genetic map: pitcher/insect-capture QTL on a genetic linkage map of Sarracenia

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          Abstract

          This study presents the first genetic map for a carnivorous plant, mapping 64 QTLs in Sarracenia to provide the genetic basis for differences between the pitfall and lobster-trap insect-capture strategies.

          Abstract

          The study of carnivorous plants can afford insight into their unique evolutionary adaptations and their interactions with prokaryotic and eukaryotic species. For Sarracenia (pitcher plants), we identified 64 quantitative trait loci (QTL) for insect-capture traits of the pitchers, providing the genetic basis for differences between the pitfall and lobster-trap strategies of insect capture. The linkage map developed here is based upon the F2 of a cross between Sarracenia rosea and Sarracenia psittacina; we mapped 437 single nucleotide polymorphism and simple sequence repeat markers. We measured pitcher traits which differ between S. rosea and S. psittacina, mapping 64 QTL for 17 pitcher traits; there are hot-spot locations where multiple QTL map near each other. There are epistatic interactions in many cases where there are multiple loci for a trait. The QTL map uncovered the genetic basis for the differences between pitfall- and lobster-traps, and the changes that occurred during the divergence of these species. The longevity and clonability of Sarracenia plants make the F2 mapping population a resource for mapping more traits and for phenotype-to-genotype studies.

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          The hitch-hiking effect of a favourable gene

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            The sunflower genome provides insights into oil metabolism, flowering and Asterid evolution

            The domesticated sunflower, Helianthus annuus L., is a global oil crop that has promise for climate change adaptation, because it can maintain stable yields across a wide variety of environmental conditions, including drought. Even greater resilience is achievable through the mining of resistance alleles from compatible wild sunflower relatives, including numerous extremophile species. Here we report a high-quality reference for the sunflower genome (3.6 gigabases), together with extensive transcriptomic data from vegetative and floral organs. The genome mostly consists of highly similar, related sequences and required single-molecule real-time sequencing technologies for successful assembly. Genome analyses enabled the reconstruction of the evolutionary history of the Asterids, further establishing the existence of a whole-genome triplication at the base of the Asterids II clade and a sunflower-specific whole-genome duplication around 29 million years ago. An integrative approach combining quantitative genetics, expression and diversity data permitted development of comprehensive gene networks for two major breeding traits, flowering time and oil metabolism, and revealed new candidate genes in these networks. We found that the genomic architecture of flowering time has been shaped by the most recent whole-genome duplication, which suggests that ancient paralogues can remain in the same regulatory networks for dozens of millions of years. This genome represents a cornerstone for future research programs aiming to exploit genetic diversity to improve biotic and abiotic stress resistance and oil production, while also considering agricultural constraints and human nutritional needs.
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              OneMap: software for genetic mapping in outcrossing species.

              OneMap is an environment for constructing linkage maps of outcrossing plant species, using full-sib families derived from two outbred parents. The analyses are performed using a novel methodology based on the maximum likelihood approach for simultaneous estimation of linkage and linkage phases (Wu et al. 2002), which has been successfully applied to sugarcane (Garcia et al. 2006). It is implemented as a set of functions for the freely distributed software R, and handles pairwise marker analysis, marker ordering and map refinement. The software is freely available at http://www.ciagri.usp.br/ approximately aafgarci/OneMap/.
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                Author and article information

                Journal
                Life Sci Alliance
                Life Sci Alliance
                lsa
                lsa
                Life Science Alliance
                Life Science Alliance LLC
                2575-1077
                29 November 2018
                December 2018
                29 November 2018
                : 1
                : 6
                : e201800146
                Affiliations
                [1 ]Department of Plant Biology, Miller Plant Sciences Building, University of Georgia, Athens, GA, USA
                [2 ]Institute of Bioinformatics, Davison Life Sciences Building, University of Georgia, Athens, GA, USA
                [3 ]Georgia Genomics and Bioinformatics Core, University of Georgia, Athens, GA, USA
                Author notes
                Correspondence: malmberg@ 123456uga.edu

                Willie L Rogers' present address is State Botanical Garden of Georgia, University of Georgia, Athens, GA, USA

                Author information
                https://orcid.org/0000-0002-7448-5034
                https://orcid.org/0000-0002-1601-682X
                Article
                LSA-2018-00146
                10.26508/lsa.201800146
                6265660
                c1063b68-7c51-4a62-a9df-7886b47e3dfd
                © 2018 Malmberg et al.

                This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

                History
                : 3 August 2018
                : 16 November 2018
                : 19 November 2018
                Funding
                Funded by: University of Georgia Distinguished University Professorship;
                Award Recipient :
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