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      Deciphering the Genetic Basis of Silkworm Cocoon Colors Provides New Insights into Biological Coloration and Phenotypic Diversification

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          Abstract

          The genetic basis of phenotypic variation is a long-standing concern of evolutionary biology. Coloration has proven to be a visual, easily quantifiable, and highly tractable system for genetic analysis and is an ever-evolving focus of biological research. Compared with the homogenized brown-yellow cocoons of wild silkworms, the cocoons of domestic silkworms are spectacularly diverse in color, such as white, green, and yellow-red; this provides an outstanding model for exploring the phenotypic diversification and biological coloration. Herein, the molecular mechanism underlying silkworm green cocoon formation was investigated, which was not fully understood. We demonstrated that five of the seven members of a sugar transporter gene cluster were specifically duplicated in the Bombycidae and evolved new spatial expression patterns predominantly expressed in silk glands, accompanying complementary temporal expression; they synergistically facilitate the uptake of flavonoids, thus determining the green cocoon. Subsequently, polymorphic cocoon coloring landscape involving multiple loci and the evolution of cocoon color from wild to domestic silkworms were analyzed based on the pan-genome sequencing data. It was found that cocoon coloration involved epistatic interaction between loci; all the identified cocoon color-related loci existed in wild silkworms; the genetic segregation, recombination, and variation of these loci shaped the multicolored cocoons of domestic silkworms. This study revealed a new mechanism for flavonoids-based biological coloration that highlights the crucial role of gene duplication followed by functional diversification in acquiring new genetic functions; furthermore, the results in this work provide insight into phenotypic innovation during domestication.

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          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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            MUSCLE: multiple sequence alignment with high accuracy and high throughput.

            We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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              PLINK: a tool set for whole-genome association and population-based linkage analyses.

              Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, large data sets comprising hundreds of thousands of markers genotyped for thousands of individuals can be rapidly manipulated and analyzed in their entirety. As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage. We introduce PLINK and describe the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation. In particular, we focus on the estimation and use of identity-by-state and identity-by-descent information in the context of population-based whole-genome studies. This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals. Analysis of the patterns of segmental sharing has the potential to map disease loci that contain multiple rare variants in a population-based linkage analysis.

                Author and article information

                Contributors
                Role: Associate Editor
                Journal
                Mol Biol Evol
                Mol Biol Evol
                molbev
                Molecular Biology and Evolution
                Oxford University Press (US )
                0737-4038
                1537-1719
                February 2023
                31 January 2023
                31 January 2023
                : 40
                : 2
                : msad017
                Affiliations
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                Key Laboratory of Sericulture Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, College of Sericulture, Textile and Biomass Sciences, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                Key Laboratory of Sericulture Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, College of Sericulture, Textile and Biomass Sciences, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                Key Laboratory of Sericulture Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, College of Sericulture, Textile and Biomass Sciences, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                Key Laboratory of Sericulture Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, College of Sericulture, Textile and Biomass Sciences, Southwest University , Chongqing, China
                State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, Southwest University , Chongqing, China
                Key Laboratory of Sericulture Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, College of Sericulture, Textile and Biomass Sciences, Southwest University , Chongqing, China
                Author notes

                Yaru Lu and Jiangwen Luo contributed equally to this work.

                Fangyin Dai lead contact.

                Corresponding authors: E-mails: fydai@ 123456swu.edu.cn ; xltong@ 123456swu.edu.cn .
                Author information
                https://orcid.org/0000-0003-1784-8676
                Article
                msad017
                10.1093/molbev/msad017
                9937047
                36718535
                20c43bbc-e4e7-4c51-845e-09a6790dbe06
                © The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution.

                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
                Page count
                Pages: 18
                Funding
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Award ID: 31830094
                Award ID: U20A2058
                Funded by: the China Agriculture Research System;
                Award ID: CARS-18-ZJ0102
                Funded by: Innovative Research Groups of Natural Science Foundation of Chongqing;
                Award ID: cstc2021jcyj-cxtt0005
                Categories
                Discoveries
                AcademicSubjects/SCI01130
                AcademicSubjects/SCI01180

                Molecular biology
                phenotypic variation,domestication,coloration,flavonoids,sugar transporter
                Molecular biology
                phenotypic variation, domestication, coloration, flavonoids, sugar transporter

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