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Polyploidy: genome obesity and its consequences

2007· article· en· W2091222898 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNew Phytologist · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesUniversity of British ColumbiaNorth Carolina State UniversityNational Institutes of HealthNational Science Foundation
KeywordsGenomeBiologyObesityEvolutionary biologyGeneticsComputational biologyGene

Abstract

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Polyploidy is a major evolutionary feature of many plants and some animals (Grant, 1981; Otto & Whitton, 2000). Allopolyploids (e.g. wheat, cotton, and canola) were formed by combination of two or more distinct genomes, whereas autopolyploids (e.g. potato, sugarcane, and banana) resulted from duplication of a single genome. Both allopolyploids and autopolyploids are prevalent in nature (Tate et al., 2004). Recent research has shown that polyploid genomes may undergo rapid changes in genome structure and function via genetic and epigenetic changes (Fig. 1) (Levy & Feldman, 2002; Osborn et al., 2003; Chen, 2007). The former include chromosomal rearrangements (e.g. translocation, deletion, and transposition) and DNA sequence elimination and mutations, whereas epigenetic modifications (chromatin and RNA-mediated pathways) give rise to gene expression changes that are not associated with changes in DNA sequence. Over time, polyploids may become ‘diploidized’ so that they behave like diploids cytogenetically and genetically. Comparative and genome sequence analyses indicate that many plant species, including maize, rice, poplar, and Arabidopsis, are recent or ancient diploidized (paleo-) polyploids. Diagram of allopolyploid formation and evolution. A hybrid (not shown) derived from two diploid species can be induced to form a stable allotetraploid via spontaneous chromosome doubling or by colchicine treatment. Alternatively, an allotetraploid can be formed by fusing two unreduced gametes from two diploids or by hybridization of two autotetraploids (not shown) (Chen, 2007). Allotetraploid formation is usually impaired by the hybridization barrier between the two species (red stop sign). Once an allotetraploid is formed, it may undergo rapid genetic changes (e.g. chromosomal rearrangements, loss, and transposition) and epigenetic changes (e.g. chromatin modifications and post-transcriptional regulation). Chromosomes from the two different species are colored orange and green, respectively. The chromosomes (orange or green) in different species are orthologous, and they become homoeologous (orange and green) in the allotetraploid. Over time, allopolyploids may evolve to become diploidized polyploids because of rapid changes in chromosomal structure and sequence composition. In many instances, epigenetic changes predominate in allopolyploids. Interspecific hybridization or allopolyploidy may induce formation of heterochromatin and euchromatin, resulting in gene silencing or activation via transcriptional and post-transcriptional mechanisms. RNA interference induces and maintains heterochromatin formation. These changes in allopolyploids will lead to alteration of gene expression and phenotypic variation. Both genetic and epigenetic changes can be selected by natural or artificial forces that facilitate adaptive evolution of new polyploid species. Solid and dashed arrows indicate observed and predicted changes, respectively. The consequences of polyploidy have been of long-standing interest in genetics, evolution, and systematics (Wendel, 2000; Soltis et al., 2003). Research interest in polyploids has been renewed in the past decade following the discovery of multiple origins and patterns of polyploid formation (Soltis et al., 2003) and rapid genetic changes in resynthesized allotetraploids in Brassica (Song et al., 1995) and wheat (Feldman et al., 1997). Rapid technological advances have also facilitated genomic-scale investigation of polyploids and hybrids (Wang et al., 2006). Many ongoing studies are focused on investigation of: (i) the evolutionary consequence of gene and genome duplications in polyploids; (ii) genomic and gene expression changes in resynthesized allotetraploids; (iii) genetic and gene expression variation in natural populations of polyploids; and (iv) comparison of genetic and gene expression changes in resynthesized and natural polyploids (Wendel, 2000; Osborn et al., 2003; Soltis et al., 2003; Comai, 2005; Chen, 2007). The presentations given at the Polyploidy workshop, Plant and Animal Genome XV Conference (http://www.intl-pag.org/), reflected these current research themes, reporting on ancient polyploidy events in Glycine, expression evolution of duplicate genes in Arabidopsis, gene expression changes in resynthesized Brassica and wheat allopolyploids, hybridization barriers in Arabidopsis, and tissue-specific and stress-induced expression patterns of duplicate genes in cotton and hybrid Populus. ‘... expression of duplicate genes in response to developmental programs is more strongly correlated than that of duplicate genes in response to environmental stresses, suggesting rapid evolution of duplicate genes in response to external factors’ Species of Glycine (soybean and relatives) are complex paleopolyploids that underwent at least two rounds of polyploidzation events, estimated to be c. 15 and c. 50–60 million years ago (Mya), respectively. To elucidate the complexity of the Glycine genome, Jeff Doyle (Cornell University, Ithaca, NY, USA), a member of the plant genome project led by Roger Innes (Indiana University, Bloomington, USA), reported progress in sequencing two homoeologues of a 1 Mb region that contains several disease resistance gene clusters (R-genes) in two soybean varieties and relatives of soybean. The homoeologous regions were derived from genome duplication which occurred 15 Mya. The gene densities of the two homoeologues in soybean are very different, mainly because of differences in the number of transposable element insertions. The two homoeologues also differ in their R-gene composition, with the gene-poor homoeologue also being degenerate for R-genes. Patterns of R-gene evolution are complex, with apparent recombination among copies and a considerable amount of copy-number variation among lineages. Little of this has been the result of polyploidy, however; only one of over 20 duplication events inferred from phylogenies appears to be related to the 15 Mya duplication, and most expansion has been tandem and much more recent. Variation in R-gene content also occurs among Glycine species, and even between soybean cultivars, suggesting recent and rapid changes. In other regions that do not contain resistance genes, gene densities and repeats tend to be very similar between homoeologues (Schlueter et al., 2006), raising the question of whether the marked differences between homoeologues reported here are the result of evolutionary properties of R-gene clusters. Although much of the change in these two homoeologous regions has occurred recently, it is possible that the divergent evolution of the two homoeologues was set in motion by the polyploid event and has been ongoing subsequently. The evolutionary fate of duplicate genes is poorly understood. Theory predicts that duplicate genes will eventually be lost or mutated. However, many gene duplicates are retained in the genome, probably via neofunctionalization or subfunctionalization (Lynch & Force, 2000). To test these hypotheses, Misook Ha (University of Texas at Austin, TX, USA), analyzed expression divergence of c. 2000 pairs of gene duplicates that resulted from a single duplication event that occurred 20–40 Mya (Blanc et al., 2003). The gene expression microarrays measured at various conditions were used to test whether the expression patterns of gene duplicates diverge rapidly compared with the randomly paired genes in response to environmental and developmental changes. The data presented indicate that duplicate genes have a higher similarity of expression patterns than randomly paired genes. Moreover, expression of duplicate genes in response to developmental programs is more strongly correlated than that of duplicate genes in response to environmental stresses, suggesting rapid evolution of duplicate genes in response to external factors. To explain these patterns of expression divergence between duplicate genes after whole genome duplication, Ha proposed a model whereby expression of duplicate genes diverges rapidly in response to changes in abiotic and biotic stresses, whereas the expression of duplicate genes diverges relatively slowly in response to developmental changes that are associated with complex biological networks. Functional divergence of homoeologous genes is manifested by tissue- or organ-specific expression patterns of duplicate genes, which were first observed in the allopolyploids Brassica and Gossypium (cotton). The silenced rRNAs genes in leaves subjected to nucleolar dominance in Brassica allotetraploids were reactivated in floral organs, suggesting developmentally regulated gene expression (Chen & Pikaard, 1997). Adams et al. (2003) found that developmental regulation of gene expression occurs in 10 out of 40 genes examined in cotton allopolyploids, suggesting tissue-specific regulation of homoeologous genes or subfunctionalization of duplicate genes in allopolyploids. Current work in the Adams laboratory (University of British Columbia, Vancouver, Canada) has focused on using a fluorescence-based semiquantitative assay (snapshot) to distinguish expression differences between homoeologous loci in different tissues and organs and in cold and water submersion stresses. Adams reported that the expression ratios of homoeologous genes change not only in different tissues, but also under different stress (cold and water submersion) conditions. The data from Arabidopsis and cotton suggest that paralogous and homoeologous genes may have similar fates in response to changes in environmental cues and developmental programs. Gene expression changes may also be associated with either genetic or epigenetic mechanisms (Osborn et al., 2003; Chen, 2007) (Fig. 1). Robert Gaeta (University of Wisconsin, Madison, WI, USA) reported chromosomal rearrangements and changes in DNA methylation among 50 resynthesized lines of Brassica napus-like plants. There is a correlation between changes in gene expression and chromosomal rearrangements and transposition (insertion of a fragment from one homoeologous chromosome to another). For example, Flowering Locus C expression is dependent on dosage caused by chromosomal rearrangements in 50 allopolyploid lineages. Similar changes were also reported in previous independent studies using resynthesized B. napus-like plants (Pires et al., 2004). Interestingly, the frequency of changes in the restriction length fragment polymorphism (RFLP) among 50 lines is relatively low in the first generation following allopolyploid formation but high in the progeny after six generations of selfing. Furthermore, the frequency of DNA methylation changes is fairly constant in selfing progeny. Importantly for those interested in resynthesized polyploids, there is no obvious difference of genomic and gene expression changes in the progeny derived from allotetraploids that are derived from spontaneous chromosome doubling or colchicine-treatment. Chromosomal rearrangements and epigenetic modifications may explain a wide range of morphological changes observed in 50 different lineages of Brassica allotetraploids. As in Arabidopsis allopolyploids (Wang et al., 2006), changes in gene expression are also frequently observed in resynthesized wheat allohexaploids. Bikram Gill (Kansas State University, Manhattan, KS, USA) reported high amounts of gene expression changes using microarray in comparison with wheat diploids, tetraploids, and hexaploids. Hybridization between the species that are separated for millions of years encounters barriers between alien cytoplasm and nuclear genomes and between two divergent genomes (Comai, 2005; Chen, 2007) (Fig. 1). These barriers are partly reflected by the changes in dosages of maternal and paternal genomes and imprinting patterns of gene expression (Bushell et al., 2003). Comai (University of California at Davis, CA, USA) and colleagues have shown that the expression of PHERES1 and MEDEA is altered in resynthesized Arabidopsis allotetraploids (Josefsson et al., 2006). Although reciprocal crosses of Arabidopsis allotetraploids cannot be made, the data suggest maternal and paternal effects of gene expression on seed fertility in the allopolyploids. Brian Dilkes (University of California at Davis, CA, USA), reported mapping a locus, named after Dr Strangelove (DSL1), in the triploid progeny of Arabidopsis. DSL1 is predicted to be a homologue of TRANSPARENT TESTA GLABRA (TTG2), a WRKY transcription factor. Arabidopsis TTG2 is strongly expressed in trichomes and in the endothelium of developing seeds and subsequently in other layers of the seed coats, and in developing roots. DSL1 does not show imprinting patterns, suggesting that post-zygotic barriers and seed fertility may also be affected by proper development of maternal tissues (ovules). Polyploidy is a fascinating biological phenomenon that is a source of the raw genetic materials for adaptive evolution and crop domestication. Polyploid cells are often associated with carcinogenesis in animals, and polyspermy (fertilization of more than one sperm into one ovum) usually causes abortive human triploids (McFadden et al., 1993), suggesting why polyploidy is rarer in animals than in plants. The molecular changes observed in various polyploid plant systems will improve our understanding of why polyploid plants are so successful during evolution and why and how plants can tolerate genome obesity (increase in genome dosage) better than animals, especially mammals. We thank Keith Adams, Brian Dilkes, Jeff Doyle, Robert Gaeta, and Bikram Gill for providing critical comments to improve the manuscript. The work in the Chen and Soltis laboratories was supported by grants from the National Science Foundation (DBI0501712 and DBI0624077 to ZJC, and MCB0346437 to DES) and the National Institutes of Health (GM067015 to ZJC).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.244
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it