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      Similar sequences but dissimilar biological functions of GDF11 and myostatin

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          Abstract

          Growth differentiation factor 11 (GDF11) and myostatin (MSTN) are closely related TGFβ family members that are often believed to serve similar functions due to their high homology. However, genetic studies in animals provide clear evidence that they perform distinct roles. While the loss of Mstn leads to hypermuscularity, the deletion of Gdf11 results in abnormal skeletal patterning and organ development. The perinatal lethality of Gdf11-null mice, which contrasts with the long-term viability of Mstn-null mice, has led most research to focus on utilizing recombinant GDF11 proteins to investigate the postnatal functions of GDF11. However, the reported outcomes of the exogenous application of recombinant GDF11 proteins are controversial partly because of the different sources and qualities of recombinant GDF11 used and because recombinant GDF11 and MSTN proteins are nearly indistinguishable due to their similar structural and biochemical properties. Here, we analyze the similarities and differences between GDF11 and MSTN from an evolutionary point of view and summarize the current understanding of the biological processing, signaling, and physiological functions of GDF11 and MSTN. Finally, we discuss the potential use of recombinant GDF11 as a therapeutic option for a wide range of medical conditions and the possible adverse effects of GDF11 inhibition mediated by MSTN inhibitors.

          Growth factors: untangling twin proteins

          A growth factor protein called GDF11 has potential for rejuvenation of heart, brain, and muscle tissues, but first its relationship with a twin growth factor (MSTN) must be unraveled. Although GDF11 and MSTN are almost identical in amino acid sequence, MSTN controls growth of skeletal muscles, and GDF11 regulates bone and organ patterning. To untangle what differentiates these proteins, Yun-Sil Lee and Joonho Suh at Seoul National University, South Korea, reviewed their evolution and function. They report that GDF11 and MSTN are the result of duplication of an original gene and have evolved to perform different roles. They cover some of the beneficial effects reported with GDF11 supplementation, such as tissue rejuvenation and increased lifespan, but caution that negative effects have been reported. Further investigation may illuminate growth and development processes, and therapeutic potential.

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          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          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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              Regulation of skeletal muscle mass in mice by a new TGF-beta superfamily member.

              The transforming growth factor-beta (TGF-beta) superfamily encompasses a large group of growth and differentiation factors playing important roles in regulating embryonic development and in maintaining tissue homeostasis in adult animals. Using degenerate polymerase chain reaction, we have identified a new murine TGF-beta family member, growth/differentiation factor-8 (GDF-8), which is expressed specifically in developing and adult skeletal muscle. During early stages of embryogenesis, GDF-8 expression is restricted to the myotome compartment of developing somites. At later stages and in adult animals, GDF-8 is expressed in many different muscles throughout the body. To determine the biological function of GDF-8, we disrupted the GDF-8 gene by gene targeting in mice. GDF-8 null animals are significantly larger than wild-type animals and show a large and widespread increase in skeletal muscle mass. Individual muscles of mutant animals weigh 2-3 times more than those of wild-type animals, and the increase in mass appears to result from a combination of muscle cell hyperplasia and hypertrophy. These results suggest that GDF-8 functions specifically as a negative regulator of skeletal muscle growth.
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                Author and article information

                Contributors
                yunlee@snu.ac.kr
                Journal
                Exp Mol Med
                Exp Mol Med
                Experimental & Molecular Medicine
                Nature Publishing Group UK (London )
                1226-3613
                2092-6413
                19 October 2020
                19 October 2020
                October 2020
                : 52
                : 10
                : 1673-1693
                Affiliations
                GRID grid.31501.36, ISNI 0000 0004 0470 5905, Department of Molecular Genetics & Dental Pharmacology, School of Dentistry and Dental Research Institute, , Seoul National University, ; Seoul, Republic of Korea
                Author information
                http://orcid.org/0000-0002-1228-0404
                Article
                516
                10.1038/s12276-020-00516-4
                8080601
                33077875
                ff3336cc-c142-4aae-8d4c-0877fa987c2c
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 July 2020
                : 13 August 2020
                : 17 August 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100002701, Ministry of Education (Ministry of Education of the Republic of Korea);
                Award ID: NRF-2018R1D1A1B07045334
                Award ID: NRF-2018R1D1A1B07045334
                Award Recipient :
                Funded by: Creative-Pioneering Researchers Program through Seoul National University (SNU) NRF grant funded by the Korea government (Ministry of Science and ICT) (NRF-2020R1A2C1010359)
                Categories
                Review Article
                Custom metadata
                © The Author(s) 2020

                Molecular medicine
                growth factor signalling,transforming growth factor beta,evolutionary biology

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