Abstract
Background
Chromosome counting is a process in which cells determine somehow their intrinsic chromosome number(s). The best-studied cellular mechanism that involves chromosome counting is ‘chromosome-kissing’ and X-chromosome inactivation (XCI) mechanism. It is necessary for the well-known dosage compensation between the genders in mammals to balance the number of active X-chromosomes (Xa) with regard to diploid set of autosomes. At the onset of XCI, two X-chromosomes are coming in close proximity and pair physically by a specific segment denominated X-pairing region (Xpr) that involves the SLC16A2 gene.
Results
An Ensembl BLAST search for human and mouse SLC16A2/Slc16a2 homologues revealed, that highly similar sequences can be found at almost each chromosome in the corresponding genomes. Additionally, a BLAST search for SLC16A2/TSIX/XIST (genes responsible for XCI) reveled that “SLC16A2/TSIX/XIST like sequences” cover equally all chromosomes, too. With respect to this we provide following hypotheses.
Hypotheses
If a single genomic region containing the SLC16A2 gene on X-chromosome is responsible for maintaining “balanced” active copy numbers, it is possible that similar sequences or gene/s have the same function on other chromosomes (autosomes). SLC16A2 like sequences on autosomes could encompass evolutionary older, but functionally active key regions for chromosome counting in early embryogenesis. Also SLC16A2 like sequence on autosomes could be involved in inappropriate chromosomes pairing and, thereby be involved in aneuploidy formation during embryogenesis and cancer development. Also, “SLC16A2/TSIX/XIST gene like sequence combinations” covering the whole genome, could be important for the determination of X:autosome ratio in cells and chromosome counting.
Conclusions
SLC16A2 and/or SLC16A2/TSIX/XIST like sequence dispersed across autosomes and X-chromosome(s) could serve as bases for a counting mechanism to determine X:autosome ratio and could potentially be a mechanism by which a cell also counts its autosomes. It could also be that such specific genomic regions have the same function for each specific autosome. As errors during the obviously existing process of chromosome counting are one if not the major origin of germline/somatic aneuploidy the here presented hypotheses should further elaborated and experimentally tested.
Electronic supplementary material
The online version of this article (doi:10.1186/s13039-016-0271-7) contains supplementary material, which is available to authorized users.
Keywords: Chromosome counting, X-chromosome inactivation, Chromosome kissing, Chromosome territories, Sequence similarity, SLC16A2, TSIX, XIST
Background
X-chromosome inactivation (XCI) is a process by which mammals, or better their cells, balance the number of active X-chromosomes (Xa) with regard to a diploid set of autosomes. Dosage compensation between genders in mammals is achieved by keeping only one Xa per diploid set of autosomes. Therefore the majority of genes on one of the two X-chromosomes in female mammals is silenced and denoted as inactive X-chromosome (Xi) or Barr body [1]. What is known about molecular mechanism of XCI was raised from the most popular mammalian genetic research model Mus musculus (“laboratory mice”) [2]. From the discovery of a single genomic locus that is the starting point (“initial spot”) of XCI (later on called X inactivation center – XIC), underlying mechanisms were extensively studied [3, 4]. XIC is a small region on the X-chromosome that contains elements being crucial for XCI process (Fig. 1). This process leads in the end to an epigenetic modification of one of the X-chromosomes, starting from XIC; this process was divided into four stages: initiation, speeding, maintenance and reactivation [5]. The initiation stage of XCI includes as two most important steps counting and choosing. ‘Counting’ is in a way a process by which cells measure the X:autosome ratio and ‘choosing’ is the process that identifies which X-chromosome is to be inactivated. The idea that counting mechanism exists was provided during the early years of cytogenetics based on simple observations on cells with abnormal sex chromosome numbers (gonosomal aneuploidy). In females, diploid cells with more than two X-chromosomes inactivate all but one of them, as in contrast cells with 45,X- or 46,XY-karyotypes do not undergo XCI [6]. Although molecular mechanisms were not known at that time, this was already a proof by evidence that cells can count and exactly determine the number of their X-chromosomes. An involvement of autosomes in X-chromosome could be suggested after discovery of two Xa and two Xi in tetraploid cells [7]. Although extensively studied, molecular mechanism/s that underlie counting and choosing are still poorly understood. Most of the efforts for finding a sequence being responsible for sensing and counting were focused on a “small” region that encompasses the noncoding RNAs in XIC (Fig. 1). This search has pointed out specific segments that were implied as counting factor, namely RNA anti-sense to Xist [8]. At the onset of random inactivation in one X-chromosome in human early embryonic females cells, a transient co-localization of homologous X-chromosomes XICs is required [9]. Further studies showed that before the onset of XCI two homologous X-chromosomes are pairing physically by a specific segment denominated X-pairing region (Xpr) (Fig. 2). This Xpr could potentially play a key role in counting mechanism at the onset of XCI. Xpr is bringing together two XICs and pairing occurs before XIST (X inactive specific (non-protein coding) transcript, HGNC:12810) becomes up-regulated on both X-chromosomes; lateron TSIX (TSIX transcript, XIST antisense RNA, HGNC:12377) is down-regulated on the future XCI [10, 11]. According to literature the first part of the Xpr aligning involves the SLC16A2 gene (solute carrier family 16, member 2 (thyroid hormone transporter), HGNC:10923) (Fig. 2) [10]. This association is not disrupted even if a XIST heterozygote deletion was present in embryonic stem cells, a finding which means that first steps of XCI (counting and choosing) are independent of XIST/TSIX/Xite region [10]. Besides, murine Xite region contains X-inactivation intergenic transcription elements that were shown to regulate the probability of choice [12].
Given all above mentioned findings it can be assumed to be true that X-chromosome pairing and counting are crucial steps for onset of XCI. However, chromosome counting is not only essential for X-chromosomes. Recent studies showed that during early embryogenesis the fetal tissue has features of high chromosomal instability [13–15]. Nonetheless, trisomies and monosomies can be later fixed by these cells [14, 16], indicating for the existence of a counting mechanism for all chromosomes. As gonosomes have autosomal origin, such an autosomal counting mechanism must be the even evolutionary older one. If a single genomic region containing the SLC16A2 gene can be responsible for sensing and counting of X-chromosomes, we asked ourselves if it there could be SLC16A2-like genes/sequences (Fig. 2) on other chromosomes, potentially doing the same job for those autosomes. Furthermore, interactome analysis of SLC16A2 (evaluation of proteomic interactions of SLC16A2 using NCBI gene (http://www.ncbi.nlm.nih.gov/gene/6567) and STRING-DB (http://string-db.org) demonstrates the involvement of SLC16A2 interactome in a variety of processes (i.e. transcriptional regulation), which could be indirectly related to aneuploidy and local epigenetic dysregulations. Closer inside in SLC16A2/Slc16a2 in human and mouse revealed that the human gene contains several “big” LINE elements (long interspersed nuclear elements) (Fig. 3). Accordingly, LINE elements are known to be involved in genome destabilization, which generally result in aneuploidization [17]. An Ensembl BLAST search for human and mouse revealed that similar sequences to SLC16A2/Slc16a2 can be found at different spots in the corresponding genomes (Fig. 4); N.B.: in human we excluded the biggest LINE element from our Ensembl BLAST search. Comparing SLC16A2/TSIX/XIST like sequences (BLAST search) throughout the human genome, homologous regions of them cover all chromosomes equally (Additional files 1 and 2: Figures S1–S2).
Hypotheses
Taking into account all these findings based on literature and database search, we developed the following hypotheses:
SLC16A2 like sequences on autosomes could be and/or encompass the evolutionary older, but functionally active key regions for chromosome counting in early embryogenesis.
If a single genomic region containing the SLC16A2 gene is responsible for maintaining “balanced” copy numbers of only one Xa, it is possible that similar sequences or gene/s have the same function for other chromosomes (autosomes); the similarity or homology of these sequences in the genome could be involved in inappropriate chromosomes pairing [18, 19].
As SLC16A2-like sequence could be involved in inappropriate chromosomes pairing, too, they could provide to formation of chromosomal aneuploidies during embryogenesis and cancer development [20, 21].
“SLC16A2/TSIX/XIST like sequence combinations” are covering the whole human and murine genome, making it plausible that this combination is important for determination of X:autosome ratio in cells and for chromosome counting.
Discussion and conclusion
Early studies on XCI have been conducted without complete knowledge of human genomic sequences, and as elaborated before, all efforts for finding the “counting region” was focused on a small part of the XIC region. Mechanisms of XCI were extensively studied as early as in 1990. Riggs [20] put forward the idea that along the X-chromosome there are “way station” or “boosters” elements that are facilitating inactivation speeding on the X-chromosome [20]. Furthermore, studies on X:autosome translocation and Xist yeast artificial chromosome (YAC) transgenes of the autosome showed that inactivation can spread and silence autosomal genes, too [21, 22]; this was also shown in clinical cases [23]. The inactivation is not as efficiently as inactivation of genes on X-chromosome and it can vary from autosome to autosome. Thus, it was evident that sequence(s) involved in spreading of inactivation is/are not specific to X-chromosomal sequences. Further studies on individual autosomal trisomic female cases showed that XCI is not altered (one Xi and one Xa), while two Xa featured the majority of triploid female embryos [24, 25]. During early years of genetics it was generally assumed that a core of Xi or Barr body was made up from silenced X-chromosomal genes, but 2D and 3D architecture studies revealed higher-level organization of Xi. In general most of the genes (regardless of activity and position on the metaphase chromosome) are arranged in the periphery of the Xi, and most of the noncoding and repetitive sequence reside within the interior of Xi [26].
In summary, facts about X-chromosome counting and XCI are: (i) there is one Xa per diploid set of autosomes in mammalian cells; (ii) before XCI, early in embryogenesis, cells are capable to count chromosomes and to determinate the X:autosome ratio; (iii) on the onset of embryogenesis two (or more) X-chromosomes come in close proximity; (iv) there is a higher-level organization of the Xi (in general noncoding and repetitive sequences inside, while genes are positioned outside). Regarding (iii) and (iv), two opposite “phenomena” were discovered: chromosome territories and chromosome kissing. First one describes how in a nucleus chromosomes are occupying distinct and well-defined territories [27, 28]. The “phenomenon” of two chromosomes coming close together or “chromosome kissing” referrers to inter-chromosomal interactions between pairs of chromosomes or specific parts of them [19].
Chromosome and gene positioning in the nucleus is clearly important for numerous functions. Among others, chromosome counting could be one of the cellular processes that requires specific nucleus architecture in a sense that X-chromosome/s is/are in contact with autosomes.
Sequence similarity across autosomes and X-chromosome(s) could serve as counting mechanism to determine X:autosome ratio, and it could be that some specific genomic regions have the same function for each autosome, too. Consequently, errors during chromosome counting could be the first step in formation of chromosomal aneuploidies during embryogenesis and cancer development. SLC16A2/TSIX/XIST gene like sequence combinations cover the whole genome; thus it may be speculated that they could serve as such check points. Sequence similarities across autosomes and X-chromosome(s) could be prerequisite for pairing and counting mechanisms.
Interestingly, when comparing human and murine X-chromosomes and SLC16A2/Slc16a2 genes localized there, one finds that they have different transcription directions (Fig. 4). If this is meaningful in any way has to be ruled out be further studies. However, it once again raises additional questions about the suitability of mouse as a model for human.
Overall, supportive facts for the here presented hypothesis are that chromosome kissing/counting is important for (i) regulation of gene expression (silencing and activation); (ii) tissue specific transcription; (iii) cell fate and (iv) DNA replication control [19, 29–32]. However, the onset of XCI is most likely not the only example of chromosome kissing. Accordingly, it seems to be necessary to carry out a more generalized search for sequences driving inter-chromosomal interactions. SLC16A2/TSIX/XIST gene like sequence may have to be more in focus of research here.
Abbreviations
2D and 3D, two and three dimensional; BAC, bacterial artificial chromosomes; BAC FISH, fluorescence in situ hybridization using bacterial artificial chromosomes; BLAST, basic local alignment search tool; DNA, deoxyribonucleic acid; LINE, long interspersed elements; RNA, ribonucleic acid; Xa, active X-chromosome; XCI, X-chromosome inactivation; Xi, inactive X-chromosome; XIC, X inactivation center; Xpr, X-pairing region; YAC, yeast artificial chromosomes
Acknowledgements
Ivan Y Iourov is supported by the Russian Science Foundation (project #14-35-00060) at Moscow State University of Psychology and Education.
Funding
Ivan Y Iourov is supported by the Russian Science Foundation (project #14-35-00060) at Moscow State University of Psychology and Education. This had no influence in the design of the study and collection, analysis, and interpretation of data.
Availability of data and materials
All data generated or analyzed during this study are included in this published article (and its Additional files 1 and 2: Figures S1-S2).
Authors’ contributions
TL and MR developed the hypotheses. MR did the detailed literature search and database analyses, drafted the paper, and drated the figures. IYI and TL finished the paper draft and developed together with MR the details of the hypotheses. All authors read and approved the final manuscript.
Competing interests
The authors declare that they have no competing interests.
Consent for publication
Not applicable.
Ethics approval and consent to participate
Not applicable.
Additional files
References
- 1.Barr ML, Bertram EG. A morphological distinction between neurones of the male and female, and the behaviour of the nucleolar satellite during accelerated nucleoprotein synthesis. Nature. 1949;163:676. doi: 10.1038/163676a0. [DOI] [PubMed] [Google Scholar]
- 2.Vasques LR, Klockner MN, Pereira LV. X chromosome inactivation: how human are mice? Cytogenet Genome Res. 2002;99:30–35. doi: 10.1159/000071570. [DOI] [PubMed] [Google Scholar]
- 3.Russell LB. Mammalian X-chromosome action: inactivation limited in spread and region of origin. Science. 1963;140:976–978. doi: 10.1126/science.140.3570.976. [DOI] [PubMed] [Google Scholar]
- 4.Rastan S. Non-random X-chromosome inactivation in mouse X-autosome translocation embryos--location of the inactivation centre. J Embryol Exp Morphol. 1983;78:1–22. [PubMed] [Google Scholar]
- 5.Starmer J, Magnuson T. A new model for random X chromosome inactivation. Development. 2009;136:1–10. doi: 10.1242/dev.025908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Grumbach MM, Morishima A, Taylor JH. Human sex chromosome abnormalities in relation to DNA replication and heterochromatization. Proc Natl Acad Sci U S A. 1963;49:581–589. doi: 10.1073/pnas.49.5.581. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Webb S, de Vries TJ, Kaufman MH. The differential staining pattern of the X chromosome in the embryonic and extraembryonic tissues of postimplantation homozygous tetraploid mouse embryos. Genet Res. 1992;59:205–214. doi: 10.1017/S0016672300030494. [DOI] [PubMed] [Google Scholar]
- 8.Clerc P, Avner P. Role of the region 3' to Xist exon 6 in the counting process of X-chromosome inactivation. Nat Genet. 1998;19:249–253. doi: 10.1038/924. [DOI] [PubMed] [Google Scholar]
- 9.Xu N, Tsai CL, Lee JT. Transient homologous chromosome pairing marks the onset of X inactivation. Science. 2006;311:1149–1152. doi: 10.1126/science.1122984. [DOI] [PubMed] [Google Scholar]
- 10.Augui S, Filion GJ, Huart S, Nora E, Guggiari M, Maresca M, et al. Sensing X chromosome pairs before X inactivation via a novel X-pairing region of the Xic. Science. 2007;318:1632–1636. doi: 10.1126/science.1149420. [DOI] [PubMed] [Google Scholar]
- 11.Lee JT. Regulation of X-chromosome counting by Tsix and Xite sequences. Science. 2005;309:768–771. doi: 10.1126/science.1113673. [DOI] [PubMed] [Google Scholar]
- 12.Ogawa Y, Lee JT. Xite, X-inactivation intergenic transcription elements that regulate the probability of choice. Mol Cell. 2003;11:731–743. doi: 10.1016/S1097-2765(03)00063-7. [DOI] [PubMed] [Google Scholar]
- 13.Yurov YB, Iourov IY, Vorsanova SG, Liehr T, Kolotii AD, Kutsev SI, et al. Aneuploidy and confined chromosomal mosaicism in the developing human brain. PLoS One. 2007;2:e558. doi: 10.1371/journal.pone.0000558. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Yurov YB, Vorsanova SG, Iourov IY. Ontogenetic variation of the human genome. Curr Genomics. 2010;11:420–425. doi: 10.2174/138920210793175958. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Daughtry BL, Chavez SL. Chromosomal instability in mammalian pre-implantation embryos: potential causes, detection methods, and clinical consequences. Cell Tissue Res. 2016;363:201–225. doi: 10.1007/s00441-015-2305-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.von Beust G, Sauter SM, Liehr T, Burfeind P, Bartels I, Starke H, von Eggeling F, Zoll B. Molecular cytogenetic characterization of a de novo supernumerary ring chromosome 7 resulting in partial trisomy, tetrasomy, and hexasomy in a child with dysmorphic signs, congenital heart defect, and developmental delay. Am J Med Genet A. 2005;137:59–64. doi: 10.1002/ajmg.a.30835. [DOI] [PubMed] [Google Scholar]
- 17.Sasaki M, Lange J, Keeney S. Genome destabilization by homologous recombination in the germ line. Nat Rev Mol Cell Biol. 2010;11:182–195. doi: 10.1038/nrn2737. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Liehr T. Cytogenetic contribution to uniparental disomy (UPD) Mol Cytogenet. 2010;3:8. doi: 10.1186/1755-8166-3-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Cavalli G. Chromosome kissing. Curr Opin Genet Dev. 2007;17:443–450. doi: 10.1016/j.gde.2007.08.013. [DOI] [PubMed] [Google Scholar]
- 20.Riggs AD. Marsupials and mechanisms of X-chromosome inactivation. Austral J Zool. 1989;37:419–441. doi: 10.1071/ZO9890419. [DOI] [Google Scholar]
- 21.White WM, Willard HF, Van Dyke DL, Wolff DJ. The spreading of X inactivation into autosomal material of an x;autosome translocation: evidence for a difference between autosomal and X-chromosomal DNA. Am J Hum Genet. 1998;63:20–28. doi: 10.1086/301922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Lee JT, Jaenisch R. Long-range cis effects of ectopic X-inactivation centres on a mouse autosome. Nature. 1997;386:275–279. doi: 10.1038/386275a0. [DOI] [PubMed] [Google Scholar]
- 23.Stankiewicz P, Kuechler A, Eller CD, Sahoo T, Baldermann C, Lieser U, Hesse M, Gläser C, Hagemann M, Yatsenko SA, Liehr T, Horsthemke B, Claussen U, Marahrens Y, Lupski JR, Hansmann I. Minimal phenotype in a girl with trisomy 15q due to t(X;15)(q22.3;q11.2) translocation. Am J Med Genet A. 2006;140:442–452. doi: 10.1002/ajmg.a.31096. [DOI] [PubMed] [Google Scholar]
- 24.Migeon BR. X chromosome inactivation: theme and variations. Cytogenet Genome Res. 2002;99:8–16. doi: 10.1159/000071568. [DOI] [PubMed] [Google Scholar]
- 25.Migeon BR, Pappas K, Stetten G, Trunca C, Jacobs PA. X inactivation in triploidy and trisomy: the search for autosomal transfactors that choose the active X. Eur J Hum Genet. 2008;16:153–162. doi: 10.1038/sj.ejhg.5201944. [DOI] [PubMed] [Google Scholar]
- 26.Clemson CM, Hall LL, Byron M, McNeil J, Lawrence JB. The X chromosome is organized into a gene-rich outer rim and an internal core containing silenced nongenic sequences. Proc Natl Acad Sci U S A. 2006;103:7688–7693. doi: 10.1073/pnas.0601069103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Stack SM, Brown DB, Dewey WC. Visualization of interphase chromosomes. J Cell Sci. 1977;26:281–299. doi: 10.1242/jcs.26.1.281. [DOI] [PubMed] [Google Scholar]
- 28.Iourov IY, Liehr T, Vorsanova SG, Kolotii AD, Yurov YB. Visualization of interphase chromosomes in postmitotic cells of the human brain by multicolour banding (MCB) Chromosome Res. 2006;14:223–229. doi: 10.1007/s10577-006-1037-6. [DOI] [PubMed] [Google Scholar]
- 29.Bastia D, Singh SK. "Chromosome kissing" and modulation of replication termination. Bioarchitect. 2011;1:24–28. doi: 10.4161/bioa.1.1.14664. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Spilianakis CG, Lalioti MD, Town T, Lee GR, Flavell RA. Interchromosomal associations between alternatively expressed loci. Nature. 2005;435:637–645. doi: 10.1038/nature03574. [DOI] [PubMed] [Google Scholar]
- 31.Yurov YB, Vorsanova SG, Iourov IY. Human interphase chromosomes: Biomedical aspects. New York, Heidelberg, Dordrecht, London: Springer; 2013. [Google Scholar]
- 32.Kim LK, Esplugues E, Zorca CE, Parisi F, Kluger Y, Kim TH, et al. Oct-1 regulates IL-17 expression by directing interchromosomal associations in conjunction with CTCF in T cells. Mol Cell. 2014;54:56–66. doi: 10.1016/j.molcel.2014.02.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data generated or analyzed during this study are included in this published article (and its Additional files 1 and 2: Figures S1-S2).