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      Classification and Association Analysis of Gerbera ( Gerbera hybrida) Flower Color Traits

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          Abstract

          Floral color plays a crucial role in plant life such as plant-pollinator interactions and modifying the abiotic environment of reproductive structures. In the current study, 123 gerbera accessions were divided into six color groups (white, yellow, orange, pink, red, and purple), based on Royal Horticultural Society Color Chart calibration and colorimeter measurement. Partial least squares discriminant analysis showed that the white group was mainly affected by L* value, a* value, C value, and total anthocyanin contents, while the yellow group was positively correlated with L* value, b* value, and total anthocyanin contents. Similarly, the orange group was mainly affected by b* value and total carotenoid contents, whereas the pink group was positively correlated with L* and h values. Furthermore, the red group was affected by L* value, a* value, C value, and total anthocyanin contents, whilst the purple group was mainly distributed by L* value, a* value, b* value, and total anthocyanin contents. Based on ‘Jin Xiang’ transcriptome data, 14,106 expressed sequence tag (EST)-SSR markers were identified and 48 pairs of primers (19 newly developed primers) were screened. Population genetic structure, neighbor-joining clustering, and principal coordinate analysis showed that 123 gerbera accessions could be divided into two groups. EST-SSR-based association analysis showed that 1, 1, 2, 1, 1, 2, and 1 significant loci were related to L*, a*, b*, C, and h, total carotenoid, and total anthocyanin contents, respectively. These results provide an important reference for flower color classification and genetic improvement of gerbera.

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            Inference of Population Structure Using Multilocus Genotype Data

            We describe a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations. We assume a model in which there are K populations (where K may be unknown), each of which is characterized by a set of allele frequencies at each locus. Individuals in the sample are assigned (probabilistically) to populations, or jointly to two or more populations if their genotypes indicate that they are admixed. Our model does not assume a particular mutation process, and it can be applied to most of the commonly used genetic markers, provided that they are not closely linked. Applications of our method include demonstrating the presence of population structure, assigning individuals to populations, studying hybrid zones, and identifying migrants and admixed individuals. We show that the method can produce highly accurate assignments using modest numbers of loci—e.g., seven microsatellite loci in an example using genotype data from an endangered bird species. The software used for this article is available from http://www.stats.ox.ac.uk/~pritch/home.html.
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              STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method

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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                25 January 2022
                2021
                : 12
                : 779288
                Affiliations
                [1] 1The Research Center for Ornamental Plants, College of Forestry and Landscape Architecture, South China Agricultural University , Guangzhou, China
                [2] 2Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, South China Agricultural University , Guangzhou, China
                [3] 3College of Life Sciences, South China Agricultural University , Guangzhou, China
                Author notes

                Edited by: Jian-Feng Mao, Beijing Forestry University, China

                Reviewed by: Sufang Chen, Sun Yat-sen University, China; Hongbo Cao, Agricultural University of Hebei, China

                *Correspondence: Yanping Fan, fanyanping@ 123456scau.edu.cn

                These authors have contributed equally to this work

                This article was submitted to Plant Metabolism and Chemodiversity, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2021.779288
                8824200
                e39fb96c-df74-4894-a76a-79483590469a
                Copyright © 2022 Zhou, Yin, Abbas, Sun, Gao, Yan, Li, Yu, Yue, Yu and Fan.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 October 2021
                : 31 December 2021
                Page count
                Figures: 8, Tables: 3, Equations: 0, References: 65, Pages: 15, Words: 9476
                Funding
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                gerbera,flower color,est-ssr,transcriptome,association analysis
                Plant science & Botany
                gerbera, flower color, est-ssr, transcriptome, association analysis

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