Skip to main content
  • Introduction
  • Open access
  • Published:

Genomics and Systems Biology at the “Century of Human Population Genetics” conference

This special issue of BMC Genomics presents works in the broad field of genomics as discussed at the “Century of Human Population Genetics” conference in Moscow in May 2019, held at Moscow State University (http://centenary-popgene.com/). The Conference discussed the current research of gene pools of the world’s nations, analysis of ancient DNA, judicial possibilities of human genetics, developemngt of population genetic databases, biobanks, as well as a set of newest additions to the toolbox of genomics technologies. It was an unique event, dedicated to the 100th anniversary of the first human population study performed in 1919, way before a function of DNA was discovered.

This journal issue also contains materials on human genomics and computational genetics presented at the “Systems Biology and Bioinformatics” (SBB-2019), a School for the Young Scientists held in Novosibirsk, Russia. Since 2008, this traditional school on bioinformatics is organized annually, under joint guidance of the Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences and the Novosibirsk State University (http://conf.bionet.nsc.ru/sbb2019/en/) [1, 2]. Traditionally, the Program Committee selects best conference materials for subsequent publications in BMC Genomics and related journals of BioMed Central [3,4,5,6]. The SBB Schools in Novosibirsk are the satellite events for the larger BGRS\SB (Bioinformatics of Genome Regulation and Structure \ Systems Biology) multiconference [1]. At the time of this paper writing, the BGRS\SB-2020 meeting in Novosibirsk just concluded (https://bgrssb.icgbio.ru/2020/), for the first time its twenty years history in the on-line format.

Therefore, this special issue on genomics and systems biology is accompanied by sister issues in other BMC journals in the fields of genetics, bioinformatics, microbiology, and medical genomics are published as a part of the following series: BMC Bioinformatics, BMC Medical Genomics, BMC Genetics, and BMC Medical Genetics, as well as in BMC Microbiology. In 2018, the conference highlights were organized into the Special Issues with reports from the BGRS\SB-2018 Conference and, earlier, from Belyaev Readings-2017 in Novosibirsk [7, 8]. The special issues in BMC Genomics were continued in 2019 [9, 10].

We open up this Special Issue by the human population genomics study on genetic determinants for the eye and hair color by Balanovska et al. [11] (This issue).

Predicting the eye and hair color from genotype became an established and widely used tool for both the forensic genetics and for a studies of ancient human populations. Accuracy of these predictions were extensively verified in the West and Central Europeans [12], while the studies in lightly pigmented people from border regions between Europe and Asia, including Caucasus and Ural are lacking. The authors collected 300 samples from across northern Eurasia, phenotyped and genotyped them using HIrisPlex-S markers [13], then estimated the predictive power of these biomarkers in Caucasus/Ural/Siberian populations. As genetic ancestries of these populations differ from that of West Europeans, Balanovska and co-authors hypothesized that they allelic spectrum might be also somewhat different. Thus, for all the 300 samples, the authors performed the exome sequencing and performed an enrichment of biomarker set with the 53 genes and intergenic regions associated with the eye/hair color. The association analysis replicated previous finsings concerning some known pigmentation related SNPs but also identified five new markers, with eye color prediction power for North Eurasians comparable with that of two well-known SNPs of this type. Four of these SNPs are located in HERС2 gene. The released dataset may be used for further advancement of population genetics and medical genetics; it describes the exome variation in some undercharacterized indigenous groups, previously studied by SNPs arrays only, but not by the sequencing approach.

The paper by Sandoval and colleagues [14] (this issue) continues topic of human population genetics with an excurse to Latin American and a journey of ‘Canaris’ people from Ecuador and Peru. According to pre-Hispanic history records, during the conquest and Inka expansion in Ecuador, many Andean families of the Cañar region were been displaced to several places, including Kañaris, a Quechua-speaking community of Peru mountains. The study focused on the genetic footprints of the ‘Cañaris’ of Cañar compared to other highland populations. The authors analyzed native Y chromosome haplotypes of local communities—three from Ecuador and seven from Peru – to show that individuals from the Cañar region do not share Y haplotypes with the Kañaris. Although no close genetic links between the Peruvian Kañaris (including Inkawasi) and Ecuadorian Cañar populations were shown, some congruence with historical records was observed [15].

Suntsova and Buzdin [16] (this issue) review compares human and great apes genomes to reveal genetic features distinguishing us from chimpanzees and making us humans. Even if these features are quantifiable, we still cannot identify with certainty the causative genes of “human identity” [17]. The authors summarize available information about genetic differences between humans and chimpanzees and potential functional impacts of these on differences on molecular, anatomical, physiological, and cognitive features of these species.

The paper by Kirill Danilov and colleagues [18] (this issue) investigates a performance of commonly used genotyping technologies, including Whole Genome (WGS) and Whole Exome Sequencing (WES) [13]. They conclude that WGS genotype callings exhibit higher overall precision within the selected variety of discordantly genotyped variants, a finding relevant to clinical diagnostics of common and rare variants.

The work by Vasilina Akulova et al. [19] (this issue) focuses on a basidiomycete tree fungus (Armillaria borealis) genome. This fungus causes the “white rot” root disease that weakens and even kills woody plants; it is common in Siberia and the Far East [20]. The de novo genome assembly and annotation were performed for the A. borealis species for the first time. Functional annotation analysis revealed about 22,000 protein-coding genes and provided data for further comparative analysis with other fungal species. Note that the work by Akulova et al. (this issue) refers to to BMC Plant Biol special issues published in parallel after PlantGen-2019 Conference (http://conf.bionet.nsc.ru/plantgen2019/en/), which continues as a series of special issues at BMC family journals [21].

Through offering schools for young scientists, we aim to support international exchanges and education in the field of computational biology and bioinformatics (https://bgrssb.icgbio.ru/2020/). We invite our worldwide readers to attend our next events – in Novosibirsk and Moscow (https://forum.digital/clinic, http://ngs.med-gen.ru/).

References

  1. Baranova AV, Orlov YL. The papers presented at 7th Young Scientists School “Systems Biology and Bioinformatics” (SBB’15): Introductory Note. BMC Genet. 2016;17:S20.

  2. Orlov YL, Baranova AV, Hofestaedt R, Kolchanov NA. Computational genomics at BGRS\SB-2016: introductory note. BMC Genomics. 2016;17(Suppl 14):996.

    Article  Google Scholar 

  3. Orlov YL, Kolchanov NA, Hofestädt R, Wong L. Editorial - bioinformatics development at the BGRS\SB conference series: 10th anniversary. J Bioinforma Comput Biol. 2017;15(2):1702001.

    Article  Google Scholar 

  4. Orlov YL, Baranova AV, Markel AL. Computational models in genetics at BGRS\SB-2016: introductory note. BMC Genet. 2016;17(Suppl 3):155.

    Article  Google Scholar 

  5. Tatarinova TV, Chen M, Orlov YL. Bioinformatics research at BGRS-2018. BMC Bioinformatics. 2019;20(Suppl 1):33.

    Article  Google Scholar 

  6. Orlov YL, Baranova AV. Editorial: bioinformatics of genome regulation and systems biology. Front Genet. 2020;11:625.

    Article  Google Scholar 

  7. Orlov YL, Baranova AV, Hofestädt R, Kolchanov NA. Genomics at Belyaev conference – 2017. BMC Genomics. 2018;19(Suppl 3):79.

    Article  Google Scholar 

  8. Orlov YL, Baranova AV, Tatarinova TV, Kolchanov NA. Genetics at Belyaev conference - 2017: introductory note. BMC Genet. 2017;18(Suppl 1):116.

    Article  Google Scholar 

  9. Orlov YL., Kochetov A.V., Li G., Kolchanov N.A. Genomics research at bioinformatics of genome regulation and structure\ systems biology (BGRS\SB) conferences in Novosibirsk. BMC Genomics 2019;20(Suppl 3):322.

  10. Orlov YL, Galieva ER, Melerzanov AV. Computer genomics research at the bioinformatics conference series in Novosibirsk. BMC Genomics. 2019;20(Suppl 7):537.

    Article  Google Scholar 

  11. Balanovska E, Lukianova E, Kagazezheva J, Maurer A, Leybova N, Agdzhoyan A, Gorin I, Petrushenko V, Pylev V, Kostryukova E, Balanovsky O. Optimizing the genetic prediction of the eye and hair color for north Eurasian populations. BMC Genomics. 2020;21(Suppl 7). https://0-doi-org.brum.beds.ac.uk/10.1186/s12864-020-06923-1.

  12. Candille SI, Absher DM, Beleza S, Bauchet M, McEvoy B, Garrison NA, Li JZ, Myers RM, Barsh GS, Tang H, Shriver MD. Genome-wide association studies of quantitatively measured skin, hair, and eye pigmentation in four European populations. PLoS One. 2012;7(10):e48294.

    Article  CAS  Google Scholar 

  13. Chaitanya L, Breslin K, Zuñiga S, Wirken L, Pośpiech E, Kukla-Bartoszek M, Sijen T. Peter de Knijff, Liu F., Branicki W., Kayser M., Walsh S. the HIrisPlex-S system for eye, hair and skin colour prediction from DNA: introduction and forensic developmental validation. Forensic Sci Int Genet. 2018;35:123–35.

    Article  CAS  Google Scholar 

  14. Sandoval JR, Lacerda DR, Jota MMS, Robles-Ruiz P, Danos P, Paz-y-Miño C, Wells S, Santos FR, Fujita R. Tracing the genetic history of the ‘Canaris’ from Ecuador and Peru using uniparental DNA markers. BMC Genomics. 2020;21(Suppl 7). https://0-doi-org.brum.beds.ac.uk/10.1186/s12864-020-06834-1.

  15. Barbieri C, Barquera R, Arias L, Sandoval JR, Acosta O, Zurita C, et al. The current genomic landscape of Western South America: Andes, Amazonia, and Pacific coast. Mol Biol Evol. 2019;36(12):2698–713.

    Article  CAS  Google Scholar 

  16. Suntsova MV, Buzdin AA. Differences between human and chimpanzee genomes and their implications in gene expression, protein functions and biochemical properties of the two species. BMC Genomics. 2020;21(Suppl 7). https://0-doi-org.brum.beds.ac.uk/10.1186/s12864-020-06962-8.

  17. Dong X, Wang X, Zhang F, Tian W. Genome-wide identification of regulatory sequences undergoing accelerated evolution in the human genome. Mol Biol Evol. 2016;33(10):2565–75.

    Article  CAS  Google Scholar 

  18. Danilov K.A., Baranova AV, Nikogosov DA, Musienko SV. A comparison of BeadChip and WGS genotyping outputs using partial validation by Sanger sequencing BMC Genomics 2020;21(Suppl 7). https://doi.org/10.1186/s12864-020-06919-x.

  19. Akulova VS, Sharov VV, Aksyonova AI, Putintseva YA, Oreshkova NV, Feranchuk SI, Kuzmin DA, Pavlov IN, Litovka YA, Krutovsky KV. De novo sequencing, assembly and functional annotation of Armillaria borealis genome BMC Genomics. 2020;21(Suppl 7). https://0-doi-org.brum.beds.ac.uk/10.1186/s12864-020-06964-6.

  20. Kolesnikova AI, Putintseva YA, Simonov EP, Biriukov VV, Oreshkova NV, Pavlov IN, Sharov VV, Kuzmin DA, Anderson JB, Krutovsky KV. Mobile genetic elements explain size variation in the mitochondrial genomes of four closely-related Armillaria species. BMC Genomics. 2019;20(1):351.

    Article  Google Scholar 

  21. Orlov YL, Baranova AV, Salina EA. Computational plant bioscience at BGRS\SB-2016: introductory note. BMC Plant Biol. 2016;16(Suppl 3):243.

    Article  Google Scholar 

Download references

Acknowledgments

We are grateful to Professors O.P. Balanovsky and G.S. Lebedev for the organization of the “Century of Human Population Genetics” and Digital Medicine conferences in Moscow in 2019 and for compiling materials for the SBB-2019 issues at BioMed Central journals.

This work was supported by a grant from the Ministry of Education and Science of the Russian Federation (project identifier RFMEFI60819X0278).

The guest editors of the special issue are grateful to the conference and school organizing committee members and to all the reviewers who helped in the peer-review and the language editing. We acknowledge Mikhail Ponomarenko and Vadim Efimov (Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia), Hildegard Nikki Hall (University of Edinburgh, UK), Piramanayagam Shanmughavel (Bharatiar University, India), Haiqing Zhao (Columbia University Medical Center, USA), Vitaly Gursky (St.Petersburg Polytech University, Russia), Olga Zolotareva (Bielefeld University, Germany), Elvira Galieva (Novosibirsk State University, Russia), Alexey Kolodkin (University of Luxemburg), Alexander Ratushny and Irina Medvedeva (Bristol Myers Squibb, USA), Olga Arkova (Institute of Gene Biology RAS, Moscow), Larissa Litvinova (I.Kant Baltic Federal University, Kaliningrad), Paul Jones (AIC Inc., USA), Shuan Li (University of Rhode Island, USA), Mengting Liu (University of Southern California, USA), Lydia Manor (AIC Inc., USA), Guohao Wang (NIH, USA), Nina Oparina (Karolinska Institut, Sweden), Stanislav Rybtsov (University of Edinburgh, UK), Anastasia Efimenko (Moscow State University, Russia), Ed Hollox (University of Leicester, USA), Igor Sharakhov (Virginia Tech, USA), Ludmila Zakharenko (Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia), Alexander Konev (NRC «Kurchatov Institute» - PNPI, Gatchina, Russia), Angelica Timofeeva (Moscow State University, Russia), Anatoly Ivashchenko (al-Farabi Kazakh National University, Kazakhstan), Ekaterina Marakasova (US FDA, USA), Chris Tyler-Smith (Sanger Centre, UK), Dmitry Karpov (Institute of Biomedical Chemistry RAS), Nikolai Barlev (Institute of Cytology RAS, St.-Petersburg, Russia), Elena Leberfarb (Novosibirsk State Medical University, Russia), Lyubov Chuvakova (Moscow State University, Russia), Andrei Krivtsov (Dana Farber Cancer Institute, USA), Olga Tarasova (Sechenov University, Moscow, Russia), Nadezhda Antipova (Moscow State University, Russia), Oleg Gusev (RIKEN, Japan), Konstantin Gunbin and Nataly Bondar (Novosibirsk State University, Russia), Hua Zhong (Fred Hutchinson Cancer Research Center, USA), Elena Zaklyazminskaya (Petrovsky Russian Research Centre of Surgery, Russia), Michael Linderman (Icahn School of Medicine at Mount Sinai, USA), Sergei Fedotov (MEPhI, Moscow, Russia), Igor Berezovsky (Bioinformatics Institute, Singapore), Andreas Laner (Medizinisch Genetisches Zentrum, Munich, Germany), Arun Kumar (Shanmugha Arts Science Technology and Research Academy, India), Lars Fehren-Schmitz (University of California Santa Cruz, USA), Mikhail Sadovsky (Siberian Federal University, Krasnoyarsk, Russia), Vasily Ramensky (National Research Institute of Preventive Medicine, Moscow, Russia), Patrick Harrison (University College Cork, Ireland).

About this supplement

This article has been published as part of BMC Genomics Volume 21 Supplement 7, 2020: Selected Topics in “Systems Biology and Bioinformatics” - 2019: genomics. The full contents of the supplement are available online at https://0-bmcgenomics-biomedcentral-com.brum.beds.ac.uk/articles/supplements/volume-21-supplement-7.

Funding

Publication of this article was not covered by sponsorship.

Author information

Authors and Affiliations

Authors

Contributions

TT, AB, and YO are guest editors of the special post-conference issues and Program Committee members of SBB-2019 School. AA is the invited editor and the committee member of the Conference. All the authors read, revised, and approved the final manuscript.

Corresponding author

Correspondence to Yuriy L. Orlov.

Ethics declarations

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tatarinova, T.V., Baranova, A.V., Anashkina, A.A. et al. Genomics and Systems Biology at the “Century of Human Population Genetics” conference. BMC Genomics 21 (Suppl 7), 592 (2020). https://0-doi-org.brum.beds.ac.uk/10.1186/s12864-020-06993-1

Download citation

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12864-020-06993-1