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ORIGINAL RESEARCH article

Front. Plant Sci., 22 August 2022
Sec. Plant Genetics, Epigenetics and Chromosome Biology
This article is part of the Research Topic Molecular Insights in Plant Reproductive Isolation Barriers View all 6 articles

Chromosomal instability and phenotypic variation in a specific lineage derived from a synthetic allotetraploid wheat

\r\nRuili Lv,&#x;Ruili Lv1,2†Changyi Wang&#x;Changyi Wang2†Ruisi WangRuisi Wang2Xiaofei WangXiaofei Wang2Jing ZhaoJing Zhao2Bin WangBin Wang2Tariq AslamTariq Aslam2Fangpu Han,*Fangpu Han1,3*Bao Liu*Bao Liu2*
  • 1School of Life Sciences, Linyi University, Linyi, China
  • 2Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun, China
  • 3Institute of Genetics and Developmental Biology, Chinese Academy of Sciences (CAS), Beijing, China

Newly formed plant allopolyploids usually have meiosis defect, resulting in chromosomal instability manifested as variation in chromosome number and/or structure. However, not all nascent allopolyploids are equally unstable. The wheat group (Aegilops/Triticum) contains 13 diploid species with distinct genome types. Many of these species can be artificially hybridized to produce viable but sterile inter-specific/intergeneric F1 hybrids, which can generate fertile synthetic allotetraploid wheats after whole genome doubling. Compared with synthetic allotetraploid wheats that contain genome combinations of AADD and S*S*DD (S* refers to related S genomes of a different species), those containing an S*S*AA genome are significantly more stable. However, robustness of the relative stability of S*S*AA genomes is unknown, nor are the phenotypic and fitness consequences during occurrences of secondary chromosomal instability. Here, we report a specific lineage originated from a single individual plant of a relatively stable synthetic allotetraploid wheat with genomes SlSlAA (Sl and A subgenomes were from Ae. longissima and T. urartu, respectively) that showed a high degree of transgenerational chromosomal instability. Both numerical chromosome variation (NCV) and structural chromosome variation (SCV) occurred widely. While substantial differences in frequencies of both NCV and SCV were detected across the different chromosomes, only NCV frequencies were significantly different between the two subgenomes. We found that NCVs and SCVs occurred primarily due to perturbed meiosis, allowing formation of multivalents and univalents as well as homoeologous exchanges. Thus, the combination of NCVs and SCVs affected multiple phenotypic traits, particularly those related to reproductive fitness.

Introduction

With a genome constitution of BBAADD, common wheat (Triticum aestivum L., 2n = 6× = 42) is a neo-allohexaploid species whose origin comprises of three diploid species. These are, respectively, T. urartu (AA), Aegilops tauschii (DD), and a yet unidentified but most probably extinct diploid species related to the five diploid species of Aegilops, section Sitopsis, which contained the S* genomes (Feldman and Levy, 2015). Recent phylogenomics-based studies (Glémin et al., 2019; Li et al., 2022) have confirmed the long suggested scenario based on morphological comparisons and circumstantial genetic evidence that the still mysterious diploid donor to the B-subgenome of polyploid wheat is most closely related to Ae. speltoides. This donor, however, is phylogenetically disparate from the rest of the four species of the Sitopsis section.

Most of the 13 diploid species of the Triticum-Aegilops complex can still be artificially hybridized to produce viable, though sterile, F1 hybrids, which after genome doubling can form fertile synthetic allotetraploids (Feldman et al., 1995). These newly formed allopolyploids not only provide essential materials for the study of early stages of allopolyploid evolution, but can also serve as important bridges mediating the introduction of useful genes from the diploid wild species to cultivated polyploid wheats. A salient feature of newly formed allopolyploids is perturbation of meiosis, which often results in chromosomal instability manifested as numerical and/or structural chromosome variations (Comai, 2005; Otto, 2007; Doyle et al., 2008; Gonzalo, 2022). Although it is generally believed that chromosomal instabilities are likely unavoidable byproducts of allopolyploidization due to compromised meiosis, and hence being selected against, accumulated recent evidence in unicellular organisms and human cancer cells (Sheltzer et al., 2011; Selmecki et al., 2015) has shown that both numerical and structural chromosome changes may lead to fitness leaps under certain stress conditions, such as antibiotic treatments or chemotherapies, and therefore, can represent adaptive genetic changes. Thus, the biological and evolutionary significance of chromosomal instability associated with plant allopolyploidization remains to be fully understood.

We have reported that synthetic allotetraploid wheats constructed by using various polyploid wheat-related diploid species show highly variable degrees of meiotic irregularity, and hence, chromosome instability (Zhang et al., 2013; Gou et al., 2018). Specifically, synthetic allotetraploid wheats containing S*S*AA genomes were chromosomally more stable than those containing AADD or S*S*DD genomes (Zhang et al., 2013; Gou et al., 2018). However, robustness of the relative higher stability of S*S*AA genomes is unknown, nor are the phenotypic, and especially fitness, consequences if chromosomal instability occurs in these relatively stable synthetic allotetraploid wheats.

Here, we report that during our transgenerational monitoring for chromosome stability of a synthetic wheat with a SlSlAA genome (the Sl and A subgenomes were donated by Ae. longissima and T. urartu, respectively), we unexpectedly identified one lineage of a single euploid origin that showed a high degree of chromosomal instability. We investigated the pattern and trend of numerical and structural chromosome variation of this lineage over multiple generations as well as their relevance to meiotic chromosome behavior. We provide evidence that chromosomal variation has large effects on multiple phenotypes including reproductive fitness of newly formed plant allopolyploid populations. We discuss implications of our findings with respect to early stages of polyploid evolution and potential harnessing of chromosomal instability in the generation of practically useful germplasms.

Materials and methods

Plant materials

The plant material used in this study was a synthetic allotetraploid wheat (genome SlSlAA, 2n = 28), which was produced by hybridization and subsequent colchicine doubling of F1 hybrids between Ae. longissima (genome SS, 2n = 14, accession TL05) and T. urartu (genome AA, 2n = 14, accession TMU06) (Figure 1A). The original seeds (S1) of SlSlAA were provided by Professor Moshe Feldman of the Weizmann Institute of Science, Israel. One lineage that showed a high degree of chromosomal instability was identified, and pedigree traced, in which 576 individual plants at S9 were available for study (Figure 1B). Combined fluorescence in situ hybridization (FISH) and genomic in situ hybridization (GISH) (Han et al., 2004; Kato et al., 2004; Zhang et al., 2013) was used for karyotyping.

FIGURE 1
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Figure 1. The standard karyotypes and pedigree tracing of a lineage with high degree of chromosomal instability in a synthetic allotetraploid wheat (SlSlAA). (A) The FISH/GISH-based standard karyotypes of SlSlAA and its diploid parents. (B) Pedigree of the chromosomal unstable lineage containing a total of 576 individuals at S9, which were descended from the single euploid founder plant of S2. The pAs1 (red) and pSc119.2 (green) clones were used as FISH probes. The genomic DNAs of Ae. longissima (SlSl, red) and T. urartu (AA, green) were used as GISH probes.

An independent pedigree was established starting from a single euploid individual of the S2 generation, in which only bona fide euploids were selected for propagation for seven consecutive generations of selfing (from S3 to S9). Seven euploid individuals were randomly chosen at S4 to perform FISH/GISH-based meiotic analysis, detailed below.

Cytological identification of chromosomes in mitosis and meiosis

Mitotic metaphase cells of root-tips of all the 576 individual plants of the S9 population were karyotyped by FISH/GISH essentially according to the protocols reported (Han et al., 2004; Kato et al., 2004) with minor modifications (Zhang et al., 2013); this combinatory use of FISH/GISH allows accurate identification of each chromosome pairs of both the A- and Sl subgenomes (Ruban and Badaeva, 2018). Specifically, the two cloned FISH probes, pSc119.2, a 120 bp tandem repeat cloned from Secale cereale (Bedbrook et al., 1980) and pAs1, a 1,000 bp tandem repeat cloned from Aegilops tauschii (Rayburn and Gill, 1986), were, respectively, labeled by nick translation with Alexa Fluor 488-5-dUTP (green) and Texas red-5-dCTP (red). Genomic DNA from Ae. longissima (SlSl) and T. urartu (AA) were labeled by nick translation with Alexa Fluor 488-5-dUTP and Texas red-5-dCTP, respectively. DAPI (VECTOR, H-1200) was used for chromatin counterstaining. Slides were examined under an Olympus BX53 fluorescence microscope and digitally photographed. The images were captured with camera using the IPP software.

The pollen mother cells (PMCs) at meiotic metaphase I and anaphase I of seven bona fide euploid plants at S4 were sampled for meiosis analysis (Armstrong, 2013). Young inflorescences (ca. 3–4 cm) at desired stage were fixed in Carnoy’s solution (ethanol: acetic acid = 3: 1), and anthers were dissected to spread meiocytes at meiotic metaphase I and anaphase I. Meiotic chromosome pairing and segregation behaviors were tabulated and quantified. Meiotic FISH method and probes (pSc119.2 and pAs1) were the same as used for mitotic karyotyping, described above. The images were collected as for those of mitosis, described above.

Phenotyping

Seedlings of all 576 individuals of the S9 population were placed in the same phytotron, at 25°C for 16 h light in the daytime and 18°C for 8 h darkness at night to grow to the 3rd-leaf stage. The seedlings were then transferred to a 4°C incubator for 30 days of vernalization. All plants were transplanted to the experimental field and grew to maturity. Six phenotypic traits including plant height, spike length, spikelet density, seed setting, grain length and grain width, which reflect both growth/development and reproductive fitness were quantified (Gou et al., 2018).

Statistics

Statistical significance of respective comparisons and graphical illustration were executed in R (v.3.2.2) (R Core Team, 2012) and EXCEL. P-value < 0.05 as cut off in all statistic test. Specifically, Binomial test was used to (i) compare the predisposition of NCV between subgenomes and among chromosomes; (ii) compare the predisposition of SCV between subgenomes; and (iii) compare the frequencies of early disjunction between subgenomes. Chi-square test was used to (i) compare the predisposition of SCV among chromosomes; and (ii) compare the frequencies of NCVs and/or SCVs between selected euploid plants and non-karyotyped plants to produce the next generation. Least significant difference (LSD) test was used to compare the phenotypic difference among four karyotype groups.

Results

Persistent karyotype instability occurred in a specific lineage from a relatively stable synthetic allotetraploid wheat (genome SlSlAA)

A synthetic allotetraploid wheat (genome SlSlAA, 2n = 28), was produced by inter-genetic hybridization followed by colchicine doubling of F1 hybrids between two diploid species, Aegilops longissima (genome SlSl, 2n = 14) and Triticum urartu (genome AA, 2n = 14) (Figure 1A). This synthetic allotetraploid wheat was chromosomally much more stable compared with those with other genome combinations, such as AADD and S*S*DD (Zhang et al., 2013). However, during our transgenerational monitoring for chromosome stability of randomly chosen individuals of this synthetic wheat, we unexpectedly identified one lineage that showed a high degree of chromosomal instability. We traced the pedigree of this lineage and identified it as originating from a single euploid individual at the second selfed generation (S2). We found this lineage contained a total of 576 individual plants that were descended from this single S2 founder plant by S9, the pedigree of which was clarified as two daughter individuals from one mother plant at each of the intervening S3 to S8 generations (Figure 1B). We thus analyzed all these 576 plants of S9 by using sequential fluorescence in situ hybridization (FISH) and genomic in situ hybridization (GISH) (Han et al., 2004; Kato et al., 2004; Zhang et al., 2013) that enables accurate identification of each of the 14 chromosome pairs of this synthetic allotetraploid wheat (Ruban and Badaeva, 2018). We obtained clear karyotypes for 526 individual plants.

The 526 individual plants could be categorized into six groups according to their karyotypes constituted by the absence or presence of numerical chromosome variations (NCVs) and/or structural chromosome variations (SCVs), as defined previously (Gou et al., 2018). Group 1 was “bona fide euploidy,” i.e., the karyotype of each subgenome was the same as that of its diploid parental donor species (2n = 28 = 14Sl + 14A); there were 332 individual plants in group 1, accounting for 63.1% of the total 526 individual plants (Figures 2A,G). Group 2 was “euploidy with SCV,” i.e., each subgenome contained 14 chromosomes (2n = 28 = 14Sl + 14A), but at least one chromosome containing one SCV; there were 158 individuals in group 2, accounting for 30.0% of the total 526 plants (Figures 2B,G and Supplementary Table 1). Group 3 was “compensated aneuploidy with no SCV,” i.e., the total chromosome number was 28, but at least one chromosome was deviated from the normal two copies, showing a loss/gain of one or more homoeologous chromosome pairs (2n = 28, Sl≠14, A≠14), in which no chromosome contained SCV; there were 15 individuals in group 3, accounting for 2.9% of the total 526 individuals (Figures 2C,G and Supplementary Table 1). Group 4 was “compensated aneuploidy with SCV,” i.e., the same as in group 3 but at least one chromosome contained SCV; there were 14 individuals in group 4, accounting for 2.7% of total 526 individuals (Figures 2D,G and Supplementary Table 1). Group 5 was “non-compensated aneuploidy with no SCV,” i.e., the chromosomes number was not 28 (2n ≠ 28), and no chromosome contained SCV; there were 5 individuals in group 5, accounting for 1% of the 526 individuals (Figures 2E,G and Supplementary Table 1). Group 6 was “non-compensated aneuploidy with SCV,” the same as group 5, but at least one chromosome contained SCV; there were only two individuals in group 6, accounting for 0.4% of the total 526 individuals (Figures 2F,G and Supplementary Table 1). Notably, apart from the 321 plants of group 1, i.e., bona fide euploidy, which contained a single karyotype, all the rest five groups contained multiple karyotypes, producing a total of 69 distinct karyotypes (Figure 2G). This karyotype diversity was mainly conditioned by SCVs, as NCVs were limited to loss or gain of one chromosome only, i.e., 2n = 27 or 29 (Figure 2G).

FIGURE 2
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Figure 2. Illustration of the six karyotypic categories, the distribution of relative proportions of plants belonging to each of the categories, and the numbers of distinct karyotypes contained by each category among the 526 karyotyped individuals at S9 of the specific lineage of synthetic allotetraploid wheat (SlSlAA). Images of are illustrations of the six karyotypic categories, bona fide euploid (A), euploid with SCVs (B), compensated aneuploid with no SCVs (C), compensated aneuploid with SCVs (D), non-compensated aneuploid with no SCVs (E) and non-compensated aneuploid with SCVs (F). The pAs1 (red) and pSc119.2 (green) are used as FISH probes. Yellow arrows refer to SCVs. The genomic DNAs of Ae. longissima (SlSl, red) and T. urartu (AA, green) were used as GISH probes. The bar-chart (G) is distribution of relative proportions of plants belonging to each of the categories, while the numbers in parenthesis numbers of distinct karyotypes identified in each category.

Frequencies of numerical chromosome variation differed both among chromosomes and between subgenomes

Of the 526 individual plants, 36 (2 + 5 + 14 + 15 = 36) showed NCVs, i.e., aneuploidies (Figure 2G). We thus asked two questions: First, were the 14 chromosome pairs (seven of each of the Sl and A subgenomes) equal in their probabilities to be in an aneuploid state? Second, were the probabilities of chromosomal gain vs. loss equal?

We found that the 14 chromosome pairs varied greatly in their probabilities to be in an aneuploid state or to show loss vs. gain of a chromosome. First, five chromosome pairs, i.e., those of 1Sl, 5Sl, 1A, 4A, and 7A, did not show any NCV, while the rest of the nine showed NCVs (Figures 3A,B). Second, of the five chromosome pairs of Sl-subgenome, gain and loss were not found in all instances and did not occur in equal frequencies. Specifically, only four chromosome pairs (2Sl, 3Sl, 4Sl, and 6Sl) showed gain of chromosome(s), with 2Sl showing a staggeringly higher frequency (87%) than the other three chromosome pairs, which were at an equal frequency (4.3%) (Binomial test, P = 2.42E-15) (Figures 3A,B); only chromosome pairs 2Sl, 3Sl, 6Sl, and 7Sl were more prone to the loss of a chromosome, and of which 2Sl and 3Sl showed higher frequencies (44.4 and 33.3%, respectively) than did 6Sl and 7Sl (both with a frequency of 11.1%) (Binomial test, P = 6.26E-04) (Figures 3A,B). Third, of the seven chromosome pairs in A-subgenome, only those of 2A, 3A, and 6A showed gain of a chromosome, at frequencies of 44.4, 33.3, and 22.2%, respectively (Figures 3A,B). Likewise, only chromosomes 2A, 3A, 5A, and 6A showed loss at frequencies of 83.3, 4.2, 8.3, and 4.2%, respectively (Figures 3A,B). Third, chromosomes 1Sl/1A showed neither gain nor loss of a chromosome (Figures 3A,B). Finally, when considering each subgenome as a whole, subgenome Sl was more likely to gain chromosomes than subgenome A (Binomial test, P = 1.95E-07), and subgenome A was more likely to lose chromosomes than subgenome Sl (Binomial test, P = 1.95E-07) (Figures 3A,B).

FIGURE 3
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Figure 3. Numerical chromosome variations (NCVs) in the 526 karyotyped individuals. The heatmap (A) shows gain or loss of chromosomes among the 14 chromosome pairs of subgenomes Sl and A, which occurred in 36 of the 526 individuals. Color key represents chromosome copies from 0 to 4. (B) Is distribution of the numbers of individuals showing variable copies (from 0 to 4) of each of the 14 pairs of chromosomes. (C) Depicts the numbers of plants in the three different types of compensated aneuploidies. The digits above the frames are numbers of individuals belonging to each of the three types of compensated aneuploidies. The colored bars are individual numbers belonging to each of the seven homoeologous groups within each of the three types of compensated aneuploidies.

We further analyzed the compensated aneuploidy, i.e., the categorized groups 3 and 4 plants, described above, in detail, which included a total of 29 individuals (15 in group 3 + 14 in group 4) (Figure 2G). We found that 22 individuals (75.9%) harbored ≥15 Sl-subgenome chromosomes, while only seven individuals (24.1%) contained ≤13 Sl-subgenome chromosomes (Figure 3C). The frequency of Sl-subgenome chromosome gain/A-subgenome chromosome loss was significantly higher than the opposite trend (Binomial test, P = 6.55E-09). Thus, the trend of differential gain vs. loss exhibited by chromosomes of the two subgenomes for plants of the compensated aneuploidy groups was the same as in the whole plant population, described above. Taken together, it is clear that the frequencies of NCV varied both among chromosomes and between the two subgenomes in this specific lineage of the synthetic allotetraploid wheat with genomes SlSlAA.

Frequencies of structural chromosome variation differed among chromosomes but which did not cumulate to differences between subgenomes

The combined FISH/GISH enabled the identification of microscopically discernible SCVs in this synthetic allotetraploid wheat at high resolution (SlSlAA) (Figure 4A). We found several features of the SCVs, including (i) all SCVs occurred at subtelomeric regions; (ii) the SCVs were highly similar in both position and size between a given homoeologous chromosome pair in the allotetraploid wheat SlSlAA; (iii) all clearly discernible SCVs were homoeologous exchanges (HEs); and (iv) most of the SCVs were manifested as non-reciprocal (Figure 4A). These features suggest that the major mechanism for the occurrence of SCVs in this synthetic allotetraploid wheat was meiotic homoeologous exchanges (HEs), while the often non-reciprocal manifestation should be due to meiotic chromosome segregation and/or gamete/sporophyte selection rather than occurrence.

FIGURE 4
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Figure 4. Structural chromosome variations (SCVs) in the 526 karyotyped individuals. Illustration of representative SCVs occurred to each of the 14 chromosome pairs (A). The pAs1 (red) and pSc119.2 (green) were used as FISH probes. The genomic DNAs of Ae. longissima (SlSl, red) and T. urartu (AA, green) were used as GISH probes. Yellow arrows denote SCVs. The numbers of individuals containing SCVs occurred to each of the 14 chromosome pairs of Sl and A subgenomes, which occurred in a total of 174 individuals (B). Color key represents with SCVs, which varied from 0 to 2. (C) Detailed numbers of individuals with chromosome copies containing SCVs in each of the 14 chromosome pairs. “One to Four” refer to chromosome copies.

A total of 174 (2 + 14 + 158 = 174) individuals were found to have SCVs in the 526 karyotyped plants, accounting for 33.0% (Figure 2G). The 14 chromosome pairs showed highly variable frequencies of SCV (Figure 4B). Specifically, (i) among the seven chromosome pairs of the Sl-subgenome, no SCV was detected in 7Sl, and SCVs in 1Sl, 3Sl, and 6Sl were 21.8, 24.5, and 33.6%, respectively, while those in 2Sl, 4Sl, and 5Sl were 6.4, 10.0, and 3.6%, respectively, rendering frequencies of SCVs in the former three chromosome pairs being significantly higher than those in the later three chromosome pairs (Chi-square test, P = 1.59E-13) (Figures 4B,C); (ii) among the seven chromosome pairs of the A-subgenome, no SCV was detected in 5A, and SCVs in 1A, 3A, and 6A were 36.0, 34.0, and 16.0%, respectively, while those in 2A, 4A, and 7A were 5.0, 5.0, and 4.0%, respectively, rendering frequencies of SCVs in the former three chromosome pairs being significantly higher than those in the later three chromosome pairs (Chi-square test, P = 4.10E-18) (Figures 4B,C). In theory, there could be three or four SCVs for a given homoeologous chromosome group in cases of monosomy/trisomy and nullisomy/tetrasomy, respectively. Nevertheless, we did not observe such situations (Figures 4B,C). Taken together, it is clear that homoeologous chromosome pairs tended to show highly similar tendencies of SCVs, confirming that HE was the major mechanistic underpinning its formation. Because of similar frequencies in SCVs between homoeologous chromosome pairs, when each subgenome was considered as a whole, no significant difference was detected between the Sl and A subgenomes (Binomial test, P = 5.35E-01), as expected (Figures 4B,C).

Persistent chromosomal instability was not due to cascading effect of a driver numerical or structural chromosomal variation

As said above, we have traced the origin of the plant lineage that showed chromosomal instabilities to a specific S2 euploid individual and tracked the propagation model at each generation, i.e., all being two daughter individuals from a preceding mother plant (Figure 1B). However, because we did not analyze the intervening generations (from S3 to S8), we had no information about the karyotypes of these individuals (Figure 1B). The result that 332 (63.1%) of the 526 karyotyped individuals of S9 were “bona fide euploidy” may strongly suggest that most contributing plants at the non-karyotyped intervening generations were likely euploidy, this however could not be ascertained because in theory any plant that did not contain NCVs and SCVs at a homozygous state could produce bona fide euploid progenies. Given findings in yeast and human cancer cells that a driver chromosomal variant (especially aneuploidy) may catalyze additional NCVs and SCVs in a cascading manner (Sheltzer et al., 2011), it was interesting to test if this could be the case in this specific lineage with chromosomal instability of the synthetic allotetraploid wheat (SlSl AA) that was otherwise highly stable (Zhang et al., 2013). To test this possibility, we conducted GISH/FISH analysis of S4 seeds derived from one S3 euploid that was from the same S2 euploid founder plant (Figure 1B), and randomly chose a bona fide euploid seed to construct an independent pedigree also including seven consecutive generations of selfing (from S3 to S9), in which we conducted karyotyping for variable numbers of randomly chosen plants at each generation, and only selected euploid plants to produce the next generation (Figure 5). We found that from S5 to S9, the proportions of bona fide euploid plants were in the range of 75–85%, leaving the collective proportions of plants with NCVs and/or SCVs in the range of 15–25% (Figure 5). These frequencies were lower than that of the 526 plants derived from non-karyotyped plants at the intervening generations, which was 36.9% (1–0.631, Chi-square test, P = 0.03) (Figure 1B). This however was within expectation, as any NCV- and/or SCV-containing individuals would produce more progenies containing the same NCV and/or SCV. If such a plant was homozygous for the NCV/SCV, then all its progenies would contain the variant. Furthermore, there was no increases in the bona fide euploidy proportions with generation progression (Figure 5). Together, these results suggest that the transgenerationally persistent chromosomal instabilities of this specific lineage of the synthetic allotetraploid wheat (SlSl AA) was not cascaded by a driver NCV or SCV, but more likely due to genetic/epigenetic mutation of a critical gene(s) involved in the meiosis machinery.

FIGURE 5
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Figure 5. Construction of an independent pedigree starting from a randomly chosen S3 plant derived from the same seeding S2 plant that gave rise to the chromosomal unstable linkage described in Figure 1, and karyotype analysis. The pedigree consisted of seven consecutive generations of selfing by selecting one random euploid individual at each of the intervening generation (S3–S9) to produce the next generation. From 18 to 44 individual plants were randomly chosen for karyotyping in each generation to calculate the frequencies of euploidy. The six colored circles represent the six karyotypic categories, and the numbers in the circles represent the number of individuals contained in each category.

Both numerical chromosome variations and structural chromosome variations were causally linked to perturbed meiosis

The foregoing results suggested that both NCVs and SCVs were most probably due to perturbed meiosis in the founder S2 euploid individual of the synthetic allotetraploid wheat. Because the original S2 individual was not available for study, we randomly chosen seven euploid individuals at S4 derived from the same S2 founder plant, and performed FISH-based meiotic analysis (Figures 6A–E). In total, 317 pollen mother cells (PMCs) at metaphase of meiosis I (MI) were examined and chromosome pairing behavior quantified (Figure 6F). Results showed that 181 (57.1%) of the 317 PMCs at MI showed bivalent formation (ring- or rod-shaped), while the rest 136 (42.9%) MI cells contained one or more types of abnormal pairing including quadrivalent (37 PMCs) and trivalent (8 PMCs), or no pairing, i.e., univalent (108 PMCs) (Figure 6F). Of the 37 quadrivalents detected, 29 (78.38%), 4 (10.81%) and 5 (13.51%) were formed by chromosomes 2Sl-2A, 3Sl-3A, and 6Sl-6A, respectively (Supplementary Figure 1), consistent with the staggeringly higher frequencies of NCVs of chromosomes 2Sl and 2A (Figure 3). In addition, certain proportions of bivalents (presumably the rod-shaped ones) as well as multivalents (quadrivalents and trivalents) showed early disjunction (Figure 6G). The frequencies of early disjunction were variable both across the chromosome pairs and between the two subgenomes (Figures 6G,H). Across the 14 chromosome pairs, 6Sl showed the highest frequency (20.83%) of early disjunction, while between the two subgenomes, the frequency of early chromosome disjunction was significantly higher in the Sl-subgenome (75.83%) than in the A-subgenome (24.17%) (Binomial test, P = 8.63E-33) (Figure 6H), consistent with more NCVs in Sl- than in A-subgenome (Figure 3). These aberrant chromosome pairing behaviors at MI resulted in unbalanced chromosome segregations at anaphase of meiosis I (AI). Of a total of 105 AI PMCs examined, 26 (24.8%) cells contained lagging chromosomes (Supplementary Table 2). Together, these results indicate that both NCVs and SCVs were due to perturbed meiosis in this specific lineage of the synthetic allotetraploid wheat with a SlSlAA genome combination.

FIGURE 6
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Figure 6. Cytological chromosome behavior at metaphase and anaphase of meiosis I of pollen mother cells (PMCs) taken from seven bona fide euploid individuals randomly chosen at S4. (A) Normal chromosome pairing at metaphase I, in which 14 bivalents were formed via exclusive homologous chromosome pairing. (B) Two univalents at metaphase I. (C) A univalent and a trivalent at metaphase I. (D) A quadrivalent at metaphase I. (E) Lagging univalents at anaphase I. The FISH images were probed by pAs1 (red) and pSc119.2 (green), and counterstained by DAPI. Yellow arrows denote abnormal chromosome pairing (univalent or multivalents) and disjunction. (F) Tabulated PMCs showing chromosome pairing behavior at metaphase I. (G) FISH images illustrate univalents (yellow arrows) of each of the 14 chromosome pairs of both Sl and A subgenomes at metaphase I. The pAs1 (red) and pSc119.2 (green) were used as FISH probes. (H) The frequencies each of the 14 chromosome pairs of both Sl and A subgenomes showing univalents.

Phenotypic consequences of karyotypic variation at the population level

The combination of transgenerational NCVs and SCVs generated a diverse set of distinct karyotypes by the S9 population of this specific lineage of the synthetic allotetraploid wheat (SlSlAA). Of the 526 randomly karyotyped plants of S9, 69 different karyotypes were identified (Figure 2G). To assess the phenotypic consequences of karyotype variation, we measured six traits related to both vegetative and reproductive growth and development, including plant height, spike length, spikelet density, seed setting, grain length and grain width (Figure 7). Variation in some, but not all, of these traits were evident within this small S9 population. To test for possible correlations between karyotype and trait variations, each trait was quantified as mean and variance within each of the six plant groups categorized according to karyotypes (Figure 2). Due to insufficient numbers of plants of the two categories, “non-compensated aneuploidy with no SCVs” and “non-compensated aneuploidy with SCVs” for statistical analysis, they were not included in the quantitative comparisons. Notably, however, by visual examination, these two karyotypic groups apparently showed the largest variation from the euploidy control and the other karyotypic groups in at least four of the six traits (Figure 7A). The rest of the four karyotypic groups were subjected to quantitative comparisons for each of the six traits. Results showed that significant differences existed between the karyotypic groups for two traits, plant height and seed-setting (Figures 7B,E). While the rest of the four traits, spike length, spikelet density, grain length and grain width, did not show statistical difference between the groups (Figures 7C,D,F,G). Interestingly, the two compensated aneuploidies (with and without SCVs, respectively) grew significantly taller than the two groups of euploids (with and without SCVs, respectively), whereas the opposite trend was observed for seed-setting (Figures 7B,E). Moreover, the two groups of euploids also differed in seed-setting, plants with SCVs produced more seeds than that without SCVs (Figure 7E).

FIGURE 7
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Figure 7. Variation in phenotypic traits across the phenotypic categories. (A) Variation in spike, seed-setting/individual, seed-length and seed-width among the six karyotypic categories (Figure 2). Quantification of the six phenotypic traits, plant height (B), spike length (C), spikelet density per spike (D), seed setting per spike (E), grain length per 10 seeds (F), and grain width per 10 seeds (G), among four karyotypic categories that each had sufficient number of plants enabling the analysis. The y-axis is mean (± SD). Different letters on the bars indicate significant differences based on the least significant difference (LSD) test (P < 0.05). The numbers (n) inside the bars refer to individual numbers in each of the four karyotypic categories.

Discussion

Polyploidy entails either an abrupt whole genome doubling (WGD) alone (autopolyploidy) or WGD together with merging of divergent genomes of different species into a common nucleus (allopolyploidy). This macro-mutation jeopardizes the fine-tuned meiosis machinery and compromises chromosome pairing fidelity and segregation precision (Grandont et al., 2013; Morgan et al., 2021; Gonzalo, 2022). As a result, chromosomal instability would inevitably occur in sexually propagated progenies of newly formed polyploids, which may incur fitness penalties. Conceivably, if chromosomal instability is too severe or transgenerationally persistent, the newly formed polyploids will rapidly perish. Yet, the fact that polyploidy presents in the evolutionary histories of all higher plants (Otto and Whitton, 2000; Jiao et al., 2011; Wendel, 2015; Soltis and Soltis, 2016; Van De Peer et al., 2017) suggests that meiosis disruption at the early stages of polyploidy can be resolved in certain circumstances.

As excellently summarized by a recent review (Gonzalo, 2022), there could be multiple routes whereby meiosis instability can be surmounted in newly formed polyploids, and which conceivably are mechanistically different between auto- and allopolyploidy (Grandont et al., 2013; Morgan et al., 2021). For allopolyploid species of the Triticum-Aegilops complex, it was proposed that the diploid-like meiotic behavior might involve two independent mechanisms which may act additively or synergistically (Feldman et al., 1997; Ozkan et al., 2001). According to this hypothesis, one mechanism involves genetic differentiation between homoeologous chromosomes (due to parental legacy and/or post-polyploidy rapid divergent evolution of subgenomes), and the other is the presence (inherited from a diploid parent) and/or neo-functionalization of genes restricting meiotic pairing between homoeologous chromosomes, such as the Ph1 (Okamoto, 1957; Riley and Chapman, 1958; Sears and Okamoto, 1958; Riley, 1960; Rey et al., 2018), Ph2 (Mello-Sampayo, 1971; Serra et al., 2021), and Ph3 (Driscoll, 1972; Mello-Sampayo and Canas, 1973) genes identified in polyploid wheat. In wheat, while the Ph1 and Ph2 genes are known to be located on chromosomes 5B and 3D, respectively, Ph3 was mapped to the short-arm of chromosome 3A. The synthetic allotetraploid wheat SlSlAA apparently does not contain the Ph1 and Ph2 genes but might contain Ph3 (assuming no variation among accessions of T. urartu or the accession harboring the genes has been used to construct the allotetraploid wheat). Thus, it is possible that Ph3 plays a role in SlSlAA rendering its meiosis significantly more stable than that of other synthetic allotetraploid wheats such as those of AADD and S*S*DD (Zhang et al., 2013). This hypothesis, however, is yet to be confirmed with follow-up experiments.

As mentioned earlier, our prior studies indicate that synthetic allotetraploid wheats containing S*S*AA genomes were chromosomally more stable than those containing AADD or S*S*DD genomes (Zhang et al., 2013; Gou et al., 2018). Nevertheless, whether the relative chromosomal stability of synthetic wheats with S*S*AA genomes may go astray during sexual propagation and results in secondary chromosomal inability remains unknown, nor are the phenotypic (in particular fitness) consequences if chromosomal instability indeed occurs. These issues bear important evolutionary implications. For example, if chromosomal instability occurs and if progenies with NCVs and/or SCVs are transitorily (in evolutionary sense) fitter and possess higher fecundity than their euploid siblings, then the whole population will be replaced by aneuploid individuals intermingled with structural variants after a certain number of generations, which in the long run is unlikely to establish in nature.

We report here that the relative chromosomal stability of a synthetic allotetraploid wheat with genomes SlSlAA is not robust. Specifically, we incidentally identified a lineage with a single euploid origin, which shows transgenerational chromosomal instability resulting in both NCVs and SCVs. We demonstrate that both NCVs and SCVs occur widely but vary significantly among chromosomes and/or between subgenomes. To a large extent, disturbed meiotic chromosome pairing, including formation of multivalents and univalents, homoeologous exchanges (Gaeta and Chris Pires, 2010; Lloyd et al., 2018; Mason and Wendel, 2020; Wu et al., 2021), and early chromosome disjunction during anaphase (Birchler et al., 2009), can adequately explain both NCVs and SCVs in the progenies. However, differential compensating capacities between homoeologous chromosomes during both gametal and/or saprophytic development may also play a role, explaining incongruences in some homoeologous chromosome pairs between the degrees of meiosis abnormality and extents of NCVs and SCVs in the progenies. Notably, with respect to NCVs, chromosomes of the Sl subgenome showed a propensity to gain additional copies while those of the A subgenome tended to lose copies. This might be due to the presence of gametocidal genes in the Sl subgenome of Ae. longissima (Endo, 1982), which act as meiotic drivers causing preferential retention of chromosome bearing these genes (Endo, 2007; Niranjana, 2017); this however may remain cryptic in “normal” individuals whose meiosis is relatively stable (Zhang et al., 2013) but manifests the effects in this specific lineage whose meiosis stability was impaired. With respect to the differential propensities by the different chromosomes to show SCVs, since they were under the same nuclear environment, it is conceivable that differences in overall genetic similarity and/or proportion/distribution of collinearity across the seven homoeologous chromosome groups might be the underlying cause.

In this study, we also constructed and analyzed an independent pedigree in which only euploid plants were selected to produce the next generation, and plants from each generation were sampled for karyotyping. Results from these analyses provide strong circumstantial evidence that the transgenerational chromosomal instability of this lineage was not caused by a seeding NCV or SCV, but more likely due to a heritable genetic or epigenetic mutation of a key gene involved in the meiosis machinery. In this aspect, it is reminiscent to several earlier studies that have documented that this synthetic allotetraploid wheat manifested rapid genomic changes at the molecular level, including non-random elimination of low-coy DNA sequences (Ozkan et al., 2001), an overall reduction of DNA content (Ozkan et al., 2003), and gain and loss of DNA markers presumably due to nucleotide sequence mutation (Shcherban et al., 2007). This is consistent with findings in human cancer cells showing a causal relationship between chromosomal instability and molecular level genomic changes (Sheltzer et al., 2011). With respect to morphology, we show that both NCVs and SCVs have phenotypic consequences. Of note, in relation to reproductive fitness (i.e., seed-setting), the effects of NCVs are generally negative. In contrast, SCVs, especially occurring alone (i.e., in euploidy) can have positive effects. This suggests that induced homoeologous exchanges (HEs) might be practically useful in polyploid wheat breeding, as they were in other neoallopolyploid crops such as those in Brassica (Pires et al., 2004; Lloyd et al., 2018), Musa (Wang et al., 2019), Fragaria (Edger et al., 2019), and Arachis (Bertioli et al., 2019). This realization might be of special significance given that contemporary wheat cultivars hardly contain HEs due to effects of the homoeologous pairing control genes, such as Ph1, Ph2, and Ph3.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.

Author contributions

BL and FH: conceptualization, methodology, and writing – review and editing. RL: data curation. RL and CW: formal analysis and writing – original draft. RL, CW, RW, XW, JZ, BW, and TA: investigation. All authors contributed to the article and approved the submitted version.

Funding

This study was funded by the National Natural Science Foundation of China under the grant number NSFC #31830006 and by the Plant Chromosome Biology & Functional Genome Breeding Project of Linyi University (#Z6122018 to FH).

Acknowledgments

We are grateful to Professor Moshe Feldman of the Weizmann Institute of Science, Israel, for providing the initial seeds used in this study. We thank Dr. Nathan D. Han from Washington University, School of Medicine for critical reading and editing of the manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2022.981234/full#supplementary-material

Supplementary Figure 1 | Occurrence and distribution frequencies of quadrivalents at metaphase I of pollen mother cells (PMCs) among three homoeologous chromosome pairs in which quadrivalent occurred. These were 2Sl-2A (A), 3Sl-3A (B), and 6Sl-6A (C); their distributions were quantified (D). The pAs1 (red) and pSc119.2 (green) clones were used as FISH probes. Yellow arrows denote quadrivalents.

References

Armstrong, S. (2013). Spreading and fluorescence in situ hybridization of male and female meiocyte chromosomes from Arabidopsis thaliana for cytogenetical analysis. Methods Mol. Biol. 990, 3–11. doi: 10.1007/978-1-62703-333-6_1

CrossRef Full Text | Google Scholar

Bedbrook, R. J., Jones, J., O’Dell, M., Thompson, R. J., and Flavell, R. B. (1980). A molecular description of telomeric heterochromatin in Secale species. Cell 19, 545–560. doi: 10.1016/0092-8674(80)90529-2

CrossRef Full Text | Google Scholar

Bertioli, D. J., Jenkins, J., Clevenger, J., Dudchenko, O., Gao, D., Seijo, G., et al. (2019). The genome sequence of segmental allotetraploid peanut Arachis hypogaea. Nat. Genet. 51:877. doi: 10.1038/s41588-019-0405-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Birchler, J. A., Gao, Z., and Han, F. (2009). Pairing in plants: Import is important. Proc. Natl. Acad. Sci. U. S. A. 106, 19751–19752. doi: 10.1073/pnas.0911849106

PubMed Abstract | CrossRef Full Text | Google Scholar

Comai, L. (2005). The advantages and disadvantages of being polyploid. Nat. Rev. Genet. 6, 836–846. doi: 10.1038/nrg1711

PubMed Abstract | CrossRef Full Text | Google Scholar

Doyle, J. J., Flagel, L. E., Paterson, A. H., Rapp, R. A., Soltis, D. E., Soltis, P. S., et al. (2008). Evolutionary genetics of genome merger and doubling in plants. Annu. Rev. Genet. 42, 443–461. doi: 10.1146/annurev.genet.42.110807.091524

PubMed Abstract | CrossRef Full Text | Google Scholar

Driscoll, C. J. (1972). Genetic suppression of homoeologous chromosome pairing in hexaploid wheat. Can. J. Genet. Cytol. 14, 39–42. doi: 10.1139/g72-004

CrossRef Full Text | Google Scholar

Edger, P. P., Poorten, T. J., Vanburen, R., Hardigan, M. A., Colle, M., Mckain, M. R., et al. (2019). Origin and evolution of the octoploid strawberry genome. Nat. Genet. 51, 541–547. doi: 10.1038/s41588-019-0356-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Endo, T. R. (1982). Gametocidal chromosomes of three Aegilops species in common wheat. Can. J. Genet. Cytol. 24, 201–206. doi: 10.1139/G82-020

CrossRef Full Text | Google Scholar

Endo, T. R. (2007). The gametocidal chromosome as a tool for chromosome manipulation in wheat. Chromosome Res. 15, 67–75. doi: 10.1007/s10577-006-1100-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Feldman, M., and Levy, A. (2015). “Origin and evolution of wheat and related Triticeae species,” in Alien Introgression in Wheat, eds M. Molnár-Láng, C. Ceoloni, and J. Doležel (Cham: Springer), 21–76. doi: 10.1007/978-3-319-23494-6_2

CrossRef Full Text | Google Scholar

Feldman, M., Liu, B., Segal, G., Abbo, S., Levy, A. A., and Vega, J. M. (1997). Rapid elimination of low-copy DNA sequences in polyploid wheat: A possible mechanism for differentiation of homoeologous chromosomes. Genetics 147, 1381–1387. doi: 10.1093/genetics/147.3.1381

PubMed Abstract | CrossRef Full Text | Google Scholar

Feldman, M., Lupton, F. G. H., and Miller, T. E. (1995). “Wheats,” in Evolution of Crop Plants, eds J. Smartt and N. Simmonds (Harlow: Longman Scientific & Technical), 84–192.

Google Scholar

Gaeta, R. T., and Chris Pires, J. (2010). Homoeologous recombination in allopolyploids: The polyploid ratchet. New Phytol. 186, 18–28. doi: 10.1111/j.1469-8137.2009.03089.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Glémin, S., Scornavacca, C., Dainat, J., Burgarella, C., Viader, V., Ardisson, M., et al. (2019). Pervasive hybridizations in the history of wheat relatives. Sci. Adv. 5:eaav9188. doi: 10.1126/sciadv.aav9188

PubMed Abstract | CrossRef Full Text | Google Scholar

Gonzalo, A. (2022). All ways lead to rome: Meiotic stabilization can take many routes in nascent polyploid plants. Genes 13:147. doi: 10.3390/genes13010147

PubMed Abstract | CrossRef Full Text | Google Scholar

Gou, X., Bian, Y., Zhang, A., Zhang, H., Wang, B., Lv, R., et al. (2018). Transgenerationally precipitated meiotic chromosome instability fuels rapid karyotypic evolution and phenotypic diversity in an artificially constructed allotetraploid wheat (AADD). Mol. Biol. Evol. 35, 1078–1091. doi: 10.1093/molbev/msy009

PubMed Abstract | CrossRef Full Text | Google Scholar

Grandont, L., Jenczewski, E., and Lloyd, A. (2013). Meiosis and its deviations in polyploid plants. Cytogenet. Genome Res. 140, 171–184. doi: 10.1159/000351730

PubMed Abstract | CrossRef Full Text | Google Scholar

Han, F., Liu, B., Fedak, G., and Liu, Z. (2004). Genomic constitution and variation in five partial amphiploids of wheat–Thinopyrum intermedium as revealed by GISH, multicolor GISH and seed storage protein analysis. Theor. Appl. Genet. 109, 1070–1076. doi: 10.1007/s00122-004-1720-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiao, Y., Wickett, N. J., Ayyampalayam, S., Chanderbali, A. S., Landherr, L., Ralph, P. E., et al. (2011). Ancestral polyploidy in seed plants and angiosperms. Nature 473, 97–100. doi: 10.1038/nature09916

PubMed Abstract | CrossRef Full Text | Google Scholar

Kato, A., Lamb, J. C., and Birchler, J. A. (2004). Chromosome painting using repetitive DNA sequences as probes for somatic chromosome identification in maize. Proc. Natl. Acad. Sci. U. S. A. 101, 13554–13559. doi: 10.1073/pnas.0403659101

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, L. F., Zhang, Z. B., Wang, Z. H., Li, N., Sha, Y., Wang, X. F., et al. (2022). Genome sequences of five Sitopsis species of Aegilops and the origin of polyploid wheat B subgenome. Mol. Plant 15, 488–503. doi: 10.1016/j.molp.2021.12.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Lloyd, A., Blary, A., Charif, D., Charpentier, C., Tran, J., Balzergue, S., et al. (2018). Homoeologous exchanges cause extensive dosage-dependent gene expression changes in an allopolyploid crop. New Phytol. 217, 367–377. doi: 10.1111/nph.14836

PubMed Abstract | CrossRef Full Text | Google Scholar

Mason, A., and Wendel, J. (2020). Homoeologous exchanges, segmental allopolyploidy, and polyploid genome evolution. Front. Genet. 11:1014. doi: 10.3389/fgene.2020.01014

PubMed Abstract | CrossRef Full Text | Google Scholar

Mello-Sampayo, T. (1971). Genetic regulation of meiotic chromosome pairing by chromosome 3D of Triticum aestivum. Nat. New Biol. 230, 22–23. doi: 10.1038/newbio230022a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Mello-Sampayo, T., and Canas, A. P. (1973). “Suppression of meiotic chromosome pairing in common wheat,” in Proceedings of the 4th International Wheat Genetics Symposium, eds E. R. Sears and L. M. S. ER (Columbia, MI: Agricultural Experiment Station, College of Agriculture, University of Missouri), 703–713.

Google Scholar

Morgan, C., White, M. A., Franklin, F. C. H., Zickler, D., Kleckner, N., and Bomblies, K. (2021). Evolution of crossover interference enables stable autopolyploidy by ensuring pairwise partner connections in Arabidopsis arenosa. Curr. Biol. 31, 4713–4726. doi: 10.1016/j.cub.2021.08.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Niranjana, M. (2017). Gametocidal genes of Aegilops: Segregation distorters in wheat-Aegilops wide hybridization. Genome 60, 639–647. doi: 10.1139/gen-2017-0023

PubMed Abstract | CrossRef Full Text | Google Scholar

Okamoto, M. (1957). Asynaptic effect of chromosome V. Wheat Inf. Serv. 5:6.

Google Scholar

Otto, S. P. (2007). The evolutionary consequences of polyploidy. Cell 131, 452–462. doi: 10.1016/j.cell.2007.10.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Otto, S. P., and Whitton, J. (2000). Polyploid incidence and evolution. Annu. Rev. Genet. 34, 401–437. doi: 10.1146/annurev.genet.34.1.401

PubMed Abstract | CrossRef Full Text | Google Scholar

Ozkan, H., Levy, A. A., and Feldman, M. (2001). Allopolyploidy-induced rapid genome evolution in the wheat (Aegilops-Triticum) group. Plant Cell 13, 1735–1747. doi: 10.1105/tpc.010082

PubMed Abstract | CrossRef Full Text | Google Scholar

Ozkan, H., Tuna, M., and Arumuganathan, K. (2003). Nonadditive changes in genome size during allopolyploidization in the wheat (Aegilops-Triticum) group. J. Hered. 94, 260–264. doi: 10.1093/jhered/esg053

PubMed Abstract | CrossRef Full Text | Google Scholar

Pires, J. C., Zhao, J., Schranz, M. E., Leon, E. J., Quijada, P. A., Lukens, L. N., et al. (2004). Flowering time divergence and genomic rearrangements in resynthesized Brassica polyploids (Brassicaceae). Biol. J. Linn. Soc. 82, 675–688. doi: 10.1111/j.1095-8312.2004.00350.x

CrossRef Full Text | Google Scholar

R Core Team (2012). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing. Available online at: http://www.R-project.org/

Google Scholar

Rayburn, A. L., and Gill, B. S. (1986). Molecular identification of the D-genome chromosomes of wheat. J. Hered. 77, 253–255. doi: 10.1093/oxfordjournals.jhered.a110231

CrossRef Full Text | Google Scholar

Rey, M. D., Martin, A. C., Smedley, M., Hayta, S., Harwood, W., Shaw, P., et al. (2018). Magnesium increases homoeologous crossover frequency during meiosis in ZIP4 (Ph1 gene) mutant wheat-wild relative hybrids. Front. Plant Sci. 9:509. doi: 10.3389/fpls.2018.00509

PubMed Abstract | CrossRef Full Text | Google Scholar

Riley, R. (1960). The diploidisation of polyploid wheat. Heredity 15, 407–429. doi: 10.1038/hdy.1960.106

CrossRef Full Text | Google Scholar

Riley, R., and Chapman, V. (1958). Genetic control of the cytologically diploid behaviour of hexaploid wheat. Nature 182, 713–715. doi: 10.1038/182713a0

CrossRef Full Text | Google Scholar

Ruban, A. S., and Badaeva, E. D. (2018). Evolution of the S-genomes in Triticum-Aegilops alliance: Evidences from chromosome analysis. Front. Plant Sci. 9:1756. doi: 10.3389/fpls.2018.01756

PubMed Abstract | CrossRef Full Text | Google Scholar

Sears, E. R., and Okamoto, M. (1958). “Intergenomic chromosome relationship in hexaploid wheat,” in Proceedings of 10th International Congress of Genetics, (Toronto, CA: University of Toronto Press), 258–259.

Google Scholar

Selmecki, A. M., Maruvka, Y. E., Richmond, P. A., Guillet, M., Shoresh, N., Sorenson, A. L., et al. (2015). Polyploidy can drive rapid adaptation in yeast. Nature 519, 349–352. doi: 10.1038/nature14187

PubMed Abstract | CrossRef Full Text | Google Scholar

Serra, H., Svaèina, R., Baumann, U., Whitford, R., Sutton, T., Bartoš, J., et al. (2021). Ph2 encodes the mismatch repair protein MSH7-3D that inhibits wheat homoeologous recombination. Nat. Commun. 12:803. doi: 10.1038/s41467-021-21127-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Shcherban, A. B., Khlestkina, E. K., Sergeeva, E. M., and Salina, E. A. (2007). Genomic changes at early stages of formation of allopolyploid Aegilops longissima × Triticum urartu. Russ. J. Genet. 43, 798–804. doi: 10.1134/S1022795407070125

CrossRef Full Text | Google Scholar

Sheltzer, J. M., Blank, H. M., Pfau, S. J., Tange, Y., George, B. M., Humpton, T. J., et al. (2011). Aneuploidy drives genomic instability in yeast. Science 333, 1026–1030. doi: 10.1126/science.1206412

PubMed Abstract | CrossRef Full Text | Google Scholar

Soltis, P. S., and Soltis, D. E. (2016). Ancient WGD events as drivers of key innovations in angiosperms. Curr. Opin. Plant Biol. 30, 159–165. doi: 10.1016/j.pbi.2016.03.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Van De Peer, Y., Mizrachi, E., and Marchal, K. (2017). The evolutionary significance of polyploidy. Nat. Rev. Genet. 18, 411–424. doi: 10.1038/nrg.2017.26

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Z., Miao, H., Liu, J., Xu, B., Yao, X., Xu, C., et al. (2019). Musa balbisiana genome reveals subgenome evolution and functional divergence. Nat. Plants 5, 810–821. doi: 10.1038/s41477-019-0452-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Wendel, J. (2015). The wondrous cycles of polyploidy in plants. Am. J. Bot. 102, 1753–1756. doi: 10.3732/ajb.1500320

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, Y., Lin, F., Zhou, Y., Wang, J., Sun, S., Wang, B., et al. (2021). Genomic mosaicism due to homoeologous exchange generates extensive phenotypic diversity in nascent allopolyploids. Natl. Sci. Rev. 8:nwaa277. doi: 10.1093/nsr/nwaa277

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, H., Bian, Y., Gou, X., Dong, Y., Rustgi, S., Zhang, B., et al. (2013). Intrinsic karyotype stability and gene copy number variations may have laid the foundation for tetraploid wheat formation. Proc. Natl. Acad. Sci. U. S. A. 110, 19466–19471. doi: 10.1073/pnas.1319598110

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: synthetic allopolyploid, wheat, chromosomal instability, aneuploidy, structural variation, fitness

Citation: Lv R, Wang C, Wang R, Wang X, Zhao J, Wang B, Aslam T, Han F and Liu B (2022) Chromosomal instability and phenotypic variation in a specific lineage derived from a synthetic allotetraploid wheat. Front. Plant Sci. 13:981234. doi: 10.3389/fpls.2022.981234

Received: 29 June 2022; Accepted: 04 August 2022;
Published: 22 August 2022.

Edited by:

Robert Hasterok, University of Silesia in Katowice, Poland

Reviewed by:

Michał Tomasz Kwiatek, Poznań University of Life Sciences, Poland
Dominika Idziak-Helmcke, University of Silesia in Katowice, Poland
Ekaterina D. Badaeva, Vavilov Institute of General Genetics (RAS), Russia

Copyright © 2022 Lv, Wang, Wang, Wang, Zhao, Wang, Aslam, Han and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fangpu Han, fphan@genetics.ac.cn; Bao Liu, baoliu@nenu.edu.cn

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.