- Research article
- Open Access
Intraspecific lineage divergence and its association with reproductive trait change during species range expansion in central Eurasian wild wheat Aegilops tauschii Coss. (Poaceae)
BMC Evolutionary Biology volume 15, Article number: 213 (2015)
How species ranges form in landscapes is a matter of long-standing evolutionary interest. However, little is known about how natural phenotypic variations of ecologically important traits contribute to species range expansion. In this study, we examined the phylogeographic patterns of phenotypic changes in life history (seed production) and phenological (flowering time) traits during the range expansion of Aegilops tauschii Coss. from the Transcaucasus and Middle East to central Asia.
Our comparative analyses of the patterns of natural variations for those traits and their association with the intraspecific lineage structure showed that (1) the eastward expansion to Asia was driven by an intraspecific sublineage (named TauL1b), (2) high seed production ability likely had an important role at the initial dispersal stage of TauL1b’s expansion to Asia, and (3) the phenological change to early flowering phenotypes was one of the key adaptation events for TauL1b to further expand its range in Asia.
This study provides for the first time a broad picture of the process of Ae. tauschii’s eastward range expansion in which life history and phenological traits may have had respective roles in its dispersal and adaptation in Asia. The clear association of seed production and flowering time patterns with the intraspecific lineage divergence found in this study invites further genetic research to bring the mechanistic understanding of the changes in these key functional traits during range expansion within reach.
The borders of species’ geographic ranges may shift over time due to habitat expansion, contraction, fragmentation, and merger. Species ranges expand through the migration of individuals from their native habitats to new territories, whereas local population extinction may cause range size reduction. How species ranges form in landscapes is a matter of long-standing evolutionary interest [1–3]. From a broad ecological viewpoint, there are two important drivers for species range expansion: dispersal and adaptation. In fact, range expansion ceases when dispersal or adaptation or both are limited in the range-edge populations [4, 5]. Various forms of dispersal constraints, including temporal and spatial barriers, low innate dispersal ability, and absence of dispersal vectors, reduce the chance for a species to migrate to novel suitable habitats outside the range even if they exist. The causes for limited adaptation that makes species less fit in the environmental conditions of newly introduced territories can be genetic (e.g., inadequate levels of genetic variation for target traits in response to the act of natural selection) or ecological (e.g., trade-offs that involve the traits of ecological importance). Ecological studies have provided empirical evidence for negative impacts of limited dispersal and adaptation on range expansion in various plant and animal species [6–10]. In contrast, many genetic studies on the mechanisms that underlie the adaptive change in ecologically important traits (including dispersal traits) were done using model species, whereas a few successful studies addressed the issue using non-model species [11–14]. Clearly, further studies are required to better understand the genetic causes for diverse ecologically important trait changes in the context of the tempo and mode of species range expansion.
In this paper, we focus on a wild wheat species Aegilops tauschii Coss. (formerly known as Aegilops squarrosa L.) and explore its potential for use for studies on ecologically important trait change during species range expansion. Ae. tauschii is a selfing diploid species that has a wide geographic range in central Eurasia with its center of distribution in the southern coastal region of the Caspian Sea and Azerbaijan. It is known as the D genome progenitor of hexaploid common wheat Triticum aestivum L., and much work has been done to clarify how the Ae. tauschii germplasm, a valuable genetic resource for wheat breeding, is structured [15–25].
Apart from its agronomic importance, Ae. tauschii has intriguing ecological and biogeographic features. The species is highly polymorphic in morphology and has a wide ecological amplitude: its natural habitats occur in sandy seashores, margins of deserts, stony hills, steppes, wastelands, roadsides and humid temperate forests within a vast range that spreads eastward to western China via the Kopet Dag Mountains of Turkmenistan and westward to central Syria via the valleys of southeastern Turkey. Weedy stands of Ae. tauschii are often found in wheat and barley fields within the range [26–28]. Furthermore, Ae. tauschii has a distinctive pattern of geographic distribution relative to other species of the same genus. According to a modern monograph, the genus Aegilops has 10 diploid and 12 polyploid species. The diploid species are thought to have radiated some million years ago in the Transcaucasus [27, 29, 30]. Interestingly, Ae. tauschii is the only diploid species that expanded its range eastward from this primary region of origin to the Asian part of the continent, whereas all the other diploid species migrated west- and southwestward. No natural stands of Aegilops species other than Ae. tauschii is currently known with certainty in China. Accordingly, Ae. tauschii may provide a suitable material for studies on ecologically important trait changes during range expansion, because the species appears to have expanded its natural range to Asia mainly through adaptation to a wide array of environmental conditions of the continent.
The patterns of genetic variations have been studied in Ae. tauschii at the molecular level, but relatively little is known about how the species’ phenotypic natural variations for ecologically important traits is structured. Previously, we analyzed the geographic and phylogenetic patterns of flowering time and spikelet shape variations and showed that the chloroplast-DNA-haplotype-defined intraspecific lineages that contain the Asian populations tend to have the early-flowering and small-spikelet-size phenotypes [31–33]. In this paper, we attempt to clarify the intraspecific patterns of changes in key functional life history and phenological traits during the eastward species range expansion using a nuclear-DNA-polymorphism-based approach [22–24]. Our comparative analyses of the patterns of natural variations for those traits and their association with the intraspecific lineage structure showed that (1) the eastward expansion to Asia was driven by an intraspecific sublineage (named TauL1b), (2) high seed production ability likely had an important role at the initial dispersal stage of TauL1b’s expansion to Asia, and (3) the phenological change to early flowering habit was one of the key adaptation events for TauL1b to further expand its range in Asia. These findings suggest that the current Ae. tauschii’s range is the product of complex evolutionary processes that involve changes in both life history and phenological traits. On the basis of these findings, we concluded that the genetic and ecological details of how the Ae. tauschii range formed deserve further studies.
Intraspecific lineage structure in Ae. tauschii
In our previous study that used Diversity Arrays Technology (DArT) to genotype 206 Ae. tauschii accessions with 169 DArT markers, three intraspecific lineages, named TauL1, TauL2, and TauL3, were found . These lineages have contrasting patterns of geographic distributions: the TauL1 accessions are widely spread across the species range, whereas the TauL2 and TauL3 accessions are restricted to the Transcaucasus/Middle East region and Georgia, respectively. To further investigate the intraspecific lineage structure, we analyzed a larger DArT genotype dataset that was obtained by the use of an additional 84 markers (253 markers in total) for the same set of Ae. tauschii accessions using a Bayesian clustering approach implemented in the software program STRUCTURE 2.3 . Calculation of ΔK, an ad hoc statistic based on the second order rate of change of likelihood of K (the number of putative genepools that best explained the pattern of variations at the DArT-marker loci) , based on the STRUCTURE output, indicated that the 206 accessions are grouped into two clusters: one being TauL1 and the other consisting of TauL2 and TauL3 (Fig. 1). Therefore, the small TauL3 lineage (having five accessions) might be related to TauL2, but we kept them separate in the following analyses, because the TauL3 accessions have distinctive chloroplast DNA haplotypes .
A separate STRUCTURE analysis done for TauL1 (133 accessions) and TauL2 (68 accessions) indicated pronounced genepool differentiation at K = 2 within each lineage (Fig. 2). At K = 2, the 133 TauL1 accessions were classified into three sublineage groups: TauL1a (50 accessions), TauL1b (74 accessions), and the intermediates (named TauL1x) (9 accessions), using a threshold of 0.85 for the Q statistics (i.e., the estimated membership coefficients for each individual in each genepool). Similarly, the 68 TauL2 accessions were classified into three sublineage groups: TauL2a (26 accessions), TauL2b (25 accessions), and the intermediates (named TauL2x) (17 accessions) using the same Q statistics threshold.
These sublineages markedly differ in their patterns of geographic distributions (Fig. 3). TauL1b was found to be the only sublineage that occurs in the Asian part of Ae. tauschii’s natural range (Turkmenistan and the countries to its east). The TauL1b accessions only rarely occur outside Asia, whereas the natural distribution of the TauL1a accessions is restricted to the Transcaucasus and Middle East (Iran and the countries to its west). Interestingly, one (AT 47) of the six accessions of the adventive populations in central China belongs to the TauL1a lineage, but the rest five (AT 55, AT 60, AT 76, AT80, and PI 508264) to the TauL1b lineage. The chloroplast DNA haplotype evidence supported that TauL1a is ancestral to TauL1b: all but one TauL1a accessions belonged to the ancestral chloroplast DNA haplogroup lineage HGL7, whereas most TauL1b accessions (53 out of the 74 accessions) belonged to the derived chloroplast DNA haplogroup lineage HGL16 (Additional file 1: Table S1) . Both TauL2a and TauL2b are endemic to the Transcaucasus and Middle East: the TauL2a accessions tend to spread in the Transcaucasus, whereas TauL2b has its distribution center in the Caspian coastal region. The TauL1x accessions mostly fringes the southern limit of the species’ range and the TauL2x accessions tends to occur in the Caspian coastal region, but the distribution patterns of these intermediate accessions is not clear. The overall patterns of sublineage geographic distributions are consistent with the results of previous studies that used distance-based clustering approaches [22, 24]. All these findings show that Ae. tauschii’s eastward range expansion to Asia was driven by the TauL1b sublineage.
Reproductive trait variation patterns and their association with the intraspecific lineage structure
To address how the TauL1b accessions are distinctive with respect to ecologically important traits, we compared the natural phenotypic variation patterns of seed production and flowering time traits between the intraspecific groups. A seed production trait dataset, which contained the measurements/counts of spike length, numbers of spikelets per spike, anther length, anther width, ovary length, and ovary width, was obtained for 198 DArT-genotyped accessions that were grown using a common garden experimental design. Of these traits, spike length and numbers of spikelets per spike were the indicators of seed production ability. Anther and ovary sizes (length and width) were included as the measures of resource allocation that may be associated with seed production through a possible trade-off, i.e., setting many seeds at the expense of anther and ovary development. In fact, varying degrees of negative correlation were observed between spikelet length and anther and ovary lengths and between numbers of spikelets per spike and anther and ovary lengths, suggesting that the accessions having small anthers and ovaries may have the potential to set a larger numbers of small seeds through efficient selfing which requires smaller amounts of pollen (Table 1). Flower manipulation experiments done in Nigella sativa L. showed the existence of reproductive trade-offs between stamen development and flower bud number . Anther length represents the key trait in pollination ecology of Ae. tauschii . A common-garden-experiment-based flowering time dataset for the same 198 accessions was taken from .
To simplify analysis, we performed a principal component analysis of the seed production traits and combined them into a single virtual trait (i.e., the first principal component) that defined the axis of maximum phenotypic divergence among the accessions in a multivariate space. The first principal component (PC1) explained 53.1 % of the total variance. The eigenvectors for the PC1 were −0.33 (spike length), −0.43 (numbers of spikelets per spike), 0.42 (anther length), 0.43 (anther width), 0.41 (ovary length), and 0.43 (ovary width) (Table 2). We defined the sign-reversed PC1 as the seed-production PC. Accordingly, the seed-production PC values provided useful phenotype indexes: as they changed from low to high, spikelet length and numbers of spikelets per spike changed from short and few to long and many, whereas anther and ovary sizes changed from long and wide to short and narrow (Fig. 4). At the species level, no obvious geographic cline was observed for the seed-production PC values (Additional file 2: Figure S1).
We plotted the 198 accessions in a graph of flowering time against seed-production PC (Fig. 5). The group-wise means of flowering time ranged from 155.7 days (TauL1b) to 173.9 days (TauL3) (Table 3). The TauL1b sublineage had many early-flowering accessions (less than 157.0 days to flower, 45 accessions), whereas the accessions of other groups had intermediate-flowering (157.0 days ≤ flowering time < 169.0 days) and late-flowering (169.0 days ≤ flowering time) phenotypes with a few exceptions. The group-wise means of seed-production PC values ranged from 1.36 (TauL1a) to −2.12 (TauL2b) (Table 3). The group-wise means of seed-production PC values were significantly larger for the TauL1 sublineages/group than for the TauL2 sublineages/group, indicating that the TauL1 accessions are characteristic in that they have small anthers and ovaries and set many seeds on long spikes (Table 3). Within the TauL1 lineage, many TauL1a accessions had large seed-production PC values relative to the TauL1b accessions (Fig. 5), but the difference between the means was not significant (Table 3). The TauL2 accessions had relatively small seed-production PC values, indicating that they tended to have large anthers and ovaries and set small numbers of seeds on short spikes. The TauL3 accessions were phenotypically intermediate between TauL2 and TauL1. These results clearly showed that the reproductive trait variation patterns are associated with the intraspecific lineage structure to a considerable extent and that the early flowering phenotypes primarily characterize the TauL1b accessions.
In the graph, the TauL1b’s intermediate and late flowering accessions largely overlapped with the TauL1a accessions, but the early flowering accessions did not with an exception of a Chinese accession AT47 (flowering time = 146.7 days) (Fig. 5). The mean flowering time of TauL1b (155.7 days) was significantly smaller than that of TauL1a (164.2 days) (Table 3). This indicated that the TauL1b’s intermediate and late flowering accessions are comparable to the TauL1a accessions in their seed production traits, whereas the early flowering accessions are distinctive. Furthermore, the early flowering accessions had diverse seed production phenotypes that could be divided into two groups: early flowering high-number seed producers (seed-production PC values > 0) and early flowering low-number seed producers (seed-production PC values ≤ 0). The geographic distribution of the intermediate and late flowering accessions and the early flowering accessions (both high-number seed producers and low-number seed producers) widely overlaps, but the intermediate and late flowering accessions tend to reside in the north of the TauL1b range, whereas the early flowering accessions in the south (Fig. 6).
To examine if the TauL1b’s early flowering accessions are genetically differentiated from the intermediate and late flowering accessions, we further analyzed the genepool structure of the TauL1b sublineage. A STRUCTURE analysis done by the use of 117 polymorphic DArT markers showed that the TauL1b sublineage consists of two large and one small genepools (Fig. 7). The majority of the alleles of the intermediate and late flowering accessions were derived from one of the large genepools. Roughly, half of the alleles of the early accessions (excluding the adventive Chinese accessions) were derived from the same large genepool, whereas the other large genepool was the major source for the rest of the alleles. Pairwise F st values showed low but significant degrees of genetic differentiation between the early flowering high-number seed producers and the intermediate and late flowering accessions (F st = 0.069) and between the early flowering low-number seed producers and the late flowering accessions (F st = 0.057) (Table 4). The adventive Chinese accession alleles were almost exclusively originated from the small genepool. These results indicated that the TauL1b early flowering accessions were genetically differentiated from the intermediate and late flowering accessions, whereas their genetic composition is relatively complex.
In this study, the TauL1b sublineage was identified as the driver for the Ae. tauschii’s eastward range expansion. Furthermore, the comparative analysis of the reproductive trait variation patterns and their association with intraspecific lineage structure provided some insights into the roles of the seed production and flowering time traits in range expansion.
The seed production traits likely had an important role in the initial stage of dispersal from Middle East to Asia. This inference is based on the facts that the TauL1 accessions that tend to have small anthers and ovaries and set many seeds on long spikes made their way to Asia, but the TauL2 accessions that tend to have large anthers and ovaries and set small numbers of seeds on short spikes did not. High seed production ability, therefore, may have been one of the phenotypes that facilitated the TauL1’s long distance dispersal from Middle East to Asia. In fact, seed number is a key trait in realizing long distance dispersal through animal guts in grasslands . For this reason, we speculate that grazing mammals might have served as vectors in the TauL1’s eastward dispersal. To better support this view, further comparative analyses that incorporate the total number of seeds that each Ae. tauschii accession sets per plant are required. Each TauL1a and TauL2a has the center of distribution in the Transcaucasus and represents ancestral sublineages of the species. The phenotypic divergence in the seed production traits probably has a deep evolutionary origin, because the difference between the TauL1a and TauL2a sublineages in the mean seed-production PC values is statistically significant (Table 3).
Flowering time change likely contributed to the TauL1b accessions’ adaptation to the Asian environment. In the TauL1b sublineage, 45 out of the 71 accessions (excluding three accessions for which the flowering time data are missing) had the early flowering phenotype, whereas the remaining 26 accessions were intermediate and late flowering. This is in stark contrast with the cases of other groups (i.e., TauL1a, TauL1x, TauL2a, TauL2b, and TauL3) in which the vast majority of the accessions were intermediate and late flowering with a few exceptions (Fig. 5). Furthermore, no early flowering TauL1a accession (except for a Chinese accession AT47) was found in this study, suggesting that the early flowering phenotype is not adaptive in the Transcaucasus and Middle East. One possible explanation for this observation is that the ancestral TauL1b accessions that first migrated to Asia had the intermediate and late flowering phenotypes together with the high-number seed producer phenotypes and that the early flowering accessions evolved from the ancestral accessions through adaptation to the Asian environment. The adaptive change to the early flowering phenotypes may have occurred in response to winter temperature variability and facilitated the TauL1b’s further range expansion in Asia . In the TauL1b sublineage, many early flowering accessions had lowered seed-production PC values relative to the intermediate and late flowering accessions (Fig. 5). This may suggest that, in the early flowering accessions, the shortened growth periods caused reduction in seed production.
This study provides for the first time a broad picture of the process of Ae. tauschii’s eastward range expansion in which life history (i.e., seed production) and phenological (i.e., flowering time) traits may have had respective roles in the dispersal to and adaptation in Asia. The existence of a major intraspecific lineage (TauL1) that had the potential to produce long-traveling seeds and TauL1’s possession of alleles that caused the adaptive flowering time evolution through mutation appear to have contributed to realizing the cross-continent range expansion in Ae. tauschii. Most likely, long-standing and later arisen phenotypic variations of various ecologically important traits opened avenues for the expansion. In another Aegilops species, Aegilops triuncialis (L.) Á. Löve, adaptation to serpentine soils was shown to have facilitated the species’ recent rapid invasion into California, USA . Therefore, roles of ecologically important traits other than seed production and flowering time, such as edaphic preference, osmotic stress tolerance, and disease resistance, in Ae. tauschii’s range expansion must further be studied. In such studies, spatial pattern analyses of phenotypic variations and their relationships with abiotic variables would be of great interest, because environmental factors could influence the phenotypic landscapes of ecologically important traits that may have roles in species range expansion .
Since Darwin’s proposal, ecologists have long assumed that species having large ecological amplitude show great phenotypic variation . Our analyses captured a glimpse of such phenotypic diversification that took place in the course of Ae. tauschii’s range expansion: the seed production trait divergence in the ancestral lineages, the rise of the high-number seed producer phenotype, and the dispersal to Asia, a brand-new stage for flowering time diversification through adaptive changes in response to local conditions. The clear association of seed production and flowering time patterns with the intraspecific lineage divergence described in this study invites further genetic research to understand the mechanisms underlying the changes in these key functional traits during range expansion.
Two hundred Ae. tauschii Coss. accessions representing the entire natural habitat range and six accessions (AT 47, AT 55, AT 60, AT 76, AT 80, and PI 508264) representing adventive populations in the Shaanxi and Henan provinces of China were used (Additional file 1: Table S1).
DArT marker genotyping
The DArT marker genotyping was done at Diversity Arrays Technology Pty. Ltd., Yarralumla, Australia, using the array that was developed for Ae. tauschii genotyping . Of the several thousand markers that showed polymorphisms between the accessions, 253 were selected based on the data quality, redundancy, and reproducibility. The map information provided by Diversity Arrays Technology Pty. Ltd. was used to infer the distribution of the marker loci that spread across the seven chromosomes of Ae. tauschii. The genotype data for 19 Ae. tauschii accessions (AT 47, AT 76, CGN 10734, CGN 10768, IG126991, IG127015, IG 47202, IG 47203, IG 49095, KU-2022, KU-2035, KU-2063, KU-2069, KU-2097, KU-2109, KU-2136, KU-2159, KU-2809, and KU-2814) were obtained from . The genotypes at each locus were scored as either presence (coded as “1”) or absence (coded as “0”) of hybridization to the corresponding array element. For the full 206 accessions by 253 markers dataset, the missing data percentages ranged from 0 to 6.3 % (mean 1.7 %) between accessions and 0 to 11.7 % (mean 1.7 %) between markers.
The STRUCTURE software  was used for Bayesian clustering. Because Ae. tauschii is a highly selfing species and largely homozygous, this analysis was done using a haploid setting. The algorithm was run with a burn-in length of 500,000 and then 500,000 Markov Chain Monte Carlo simulations for estimating parameters. To find the best K, we performed 10 independent runs for each K between 1 and 12 using the admixture model and correlated allele frequencies. Each accession was assigned to a sublineage or genepool based on the Q statistics that were calculated through 100 independent runs for the best K. We used the STRUCTURE HARVESTER software  to calculate the Evanno’s ∆K values and the CLUMPP algorithm  implemented in the CLUMPAK software  to combine the outputs from the STRUCTURE software with the Greedy search option (2000 repeats).
Common garden experiment
The Ae. tauschii plants were grown under field conditions at Kobe University. For each accession, three seeds propagated by selfing from a single plant were sown. We arranged the accessions in the field using a randomized design and chose a single healthy individual for measuring traits. Spike lengths and numbers of spikelets per spike were measured/counted using the first, second, and third spikes before anthesis. For anther and ovary measurements, only the components of the first and second florets of the central spikelets of the first, second, and third spikes before anthesis were used; for each accession, 18 anther and 6 ovary samples were measured. The mean of the replicated measurements over three spikes was calculated for each trait and used as the trait value in subsequent analyses.
Statistical calculations were done with JMP software ver. 11.2 (SAS Institute) and SPSS software ver. 20 (IBM). The among-accession correlation matrix was used in the principal component analysis. GenAlEx ver. 6.5 was used to calculate pairwise F st values .
Diversity arrays technology
Darwin CR. On the origin of species by means of natural selection, or the preservation of favoured races in the struggle for life. London: John Murray; 1859.
MacArthur RH. Geographical ecology. New York: Harper and Row; 1972.
Gaston KJ. The structure and dynamics of geographic ranges. Oxford: Oxford Univ Press; 2003.
Holt RD. On the evolutionary ecology of species’ ranges. Evol Ecol Res. 2003;5:159–78.
Bridle JR, Vines TH. Limits to evolution at range margins: when and why does adaptation fail? Trends Ecol Evol. 2007;22:140–7.
Bradshaw AD. Genostasis and the limits to evolution. Philos Trans R Soc Lond B. 1991;333:289–305.
Hoffmann AA, Hallas RJ, Dean JA, Schiffer M. Low potential for climatic stress adaptation in a rainforest Drosophila species. Science. 2003;301:100–2.
Eckhart VM, Geber MA, Morris WF, Fabio ES, Tiffin P, Moeller DA, et al. The geography of demography: long-term demographic studies and species distribution models reveal a species border limited by adaptation. Am Nat. 2011;178 Suppl 1:S26–43.
Ibáñez I, Silander Jr JA, Wilson AM, LaFleur N, Tanaka N, Tsuyama I. Multivariate forecasts of potential distributions of invasive plant species. Ecol Appl. 2009;19:359–75.
Munguía M, Peterson AT, Sánchez-Cordero V. Dispersal limitation and geographical distributions of mammal species. J Biogeography. 2008;35:1879–87.
Pool JE, Aquadro CF. The genetic basis of adaptive pigmentation variation in Drosophila melanogaster. Mol Ecol. 2007;16:2844–51.
Todesco M, Balasubramanian S, Hu TT, Traw MB, Horton M, Epple P, et al. Natural allelic variation underlying a major fitness trade-off in Arabidopsis thaliana. Nature. 2010;465:632–6.
Linnen CR, Kingsley EP, Jensen JD, Hoekstra HE. On the origin and spread of an adaptive allele in deer mice. Science. 2009;325:1095–8.
Wright KM, Lloyd D, Lowry DB, Macnair MR, Willis JH. Indirect evolution of hybrid lethality due to linkage with selected locus in Mimulus guttatus. PLoS Biol. 2013;11:e1001497.
Kihara H. Discovery of the DD-analyser, one of the ancestors of Triticum vulgare (abstr). Agric Hortic. 1944;19:889–90 (In Japanese).
McFadden ES, Sears ER. The artifcial synthesis of Triticum spelta. Rec Genet Soc Am. 1944;13:26–7.
Lubbers EL, Gill KS, Cox TS, Gill BS. Variation of molecular markers among geographically diverse accessions of Triticum tauschii. Genome. 1991;34:354–61.
Dvorak J, Luo MC, Yang ZL, Zhang HB. The structure of the Aegilops tauschii genepool and the evolution of hexaploid wheat. Theor Appl Genet. 1998;97:657–70.
Lelley T, Stachel M, Grausgruber H, Vollmann J. Analysis of relationships between Aegilops tauschii and the D genome of wheat utilizing microsatellites. Genome. 2000;43:661–8.
Pestsova E, Korzun V, Goncharov NP, Hammer K, Ganal MW, Röder MS. Microsatellite analysis of Aegilops tauschii germplasm. Theor Appl Genet. 2000;101:100–6.
Matsuoka Y, Mori N, Kawahara T. Genealogical use of chloroplast DNA variation for intraspecific studies of Aegilops tauschii Coss. Theor Appl Genet. 2005;111:265–71.
Mizuno N, Yamasaki M, Matsuoka Y, Kawahara T, Takumi S. Population structure of wild wheat D-genome progenitor Aegilops tauschii Coss.: implications for intraspecific lineage diversification and evolution of common wheat. Mol Ecol. 2010;19:999–1013.
Matsuoka Y, Nasuda S, Ashida Y, Nitta M, Tsujimoto H, Takumi S, et al. Genetic basis for spontaneous hybrid genome doubling during allopolyploid speciation of common wheat shown by natural variation analyses of the paternal species. PLoS ONE. 2013;8:e68310.
Wang J, Luo MC, Chen Z, You FM, Wei Y, Zheng Y, et al. Aegilops tauschii single nucleotide polymorphisms shed light on the origins of wheat D-genome genetic diversity and pinpoint the geographic origin of hexaploid wheat. New Phytol. 2013;198:925–37.
Dudnikov AJ. Aegilops tauschii Coss.: allelic variation of enzyme-encoding genes and ecological differentiation of the species. Genet Resour Crop Evol. 2014;61:1329–44.
Tanaka M, Tsujimoto H. Natural habitat of Aegilops squarrosa in Xinjiang Uygur, China. Wheat Inf Serv. 1991;73:33–5.
van Slageren MW. Wild wheats: a monograph of Aegilops L. and Amblyopyrum (Jaub. & Spach) Eig (Poaceae). The Netherlands: Wageningen Agricultural University; 1994.
Matsuoka Y, Aghaei MJ, Abbasi MR, Totiaei A, Mozafari J, Ohta S. Durum wheat cultivation associated with Aegilops tauschii in northern Iran. Genet Resour Crop Evol. 2008;55:861–8.
Dvorak J, Akhunov ED. Tempos of gene locus deletions and duplications and their relationship to recombination rate during diploid and polyploid evolution in the Aegilops-Triticum alliance. Genetics. 2005;171:323–32.
Gornicki P, Zhu H, Wang J, Challa GS, Zhang Z, Gill BS, et al. The chloroplast view of the evolution of polyploid wheat. New Phytol. 2014;204:704–14.
Matsuoka Y, Takumi S, Kawahara T. Flowering time diversification and dispersal in central Eurasian wild wheat Aegilops tauschii Coss.: genealogical and ecological framework. PLoS ONE. 2008;3:e3138.
Matsuoka Y, Nishioka E, Kawahara T, Takumi S. Genealogical analysis of subspecies divergence and spikelet-shape diversification in central Eurasian wild wheat Aegilops tauschii Coss. Plant Syst Evol. 2009;279:233–44.
Takumi S, Nishioka E, Morihiro H, Kawahara T, Matsuoka Y. Natural variation of morphological traits in wild wheat progenitor Aegilops tauschii Coss. Breed Sci. 2009;59:579–88.
Pritchard JK, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics. 2000;155:945–59.
Evanno G, Regnaut S, Goudet J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol. 2005;14:2611–20.
Andersson S. Sex-allocation trade-offs in Nigella sativa (Ranunculaceae) examined with flower manipulation experiments. Evol Ecol. 2003;17:125–38.
Hammer K. Blütenökologische Merkmale und Reproduktionssystem von Aegilops tauschii Coss. (syn. Ae. squarrosa L.). Kulturpflanze. 1978;26 Suppl: 271–82. (With English summary).
Bruun HH, Poschlod P. Why are small seeds dispersed through animal guts: large numbers or seed size per se? Oikos. 2006;113:402–11.
Meimberg H, Milan NF, Karatassiou M, Espeland EK, McKay JK, Rice KJ. Patterns of introduction and adaptation during the invasion of Aegilops triuncialis (Poaceae) into Californian serpentine soils. Mol Ecol. 2010;19:5308–19.
Hübner S, Bdolach E, Ein‐Gedy S, Schmid KJ, Korol A, Fridman E. Phenotypic landscapes: phenological patterns in wild and cultivated barley. J Evol Biol. 2013;26:163–74.
Sides CB, Enquist BJ, Ebersole JJ, Smith MN, Henderson AN, Sloat LL. Revisiting Darwin’s hypothesis: does greater intraspecific variability increase species’ ecological breadth? Am J Bot. 2014;101:56–62.
Jaccoud D, Peng K, Feinstein D, Kilian A. Diversity arrays: a solid state technology for sequence information independent genotyping. Nucleic Acids Res. 2001;29:e25.
Sohail Q, Shehzad T, Kilian A, Eltayeb AE, Tanaka H, Tsujimoto H. Development of diversity array technology (DArT) markers for assessment of population structure and diversity in Aegilops tauschii. Breed Sci. 2012;62:38–45.
Earl DA, von Holdt BM. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conserv Genet Resour. 2012;4:359–61.
Jakobsson M, Rosenberg NA. CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformatics. 2007;23:1801–6.
Kopelman NM, Mayzel J, Jakobsson M, Rosenberg NA, Mayrose I. CLUMPAK: a program for identifying clustering modes and packaging population structure inferences across K. Mol Ecol Resour. 2015; doi:10.1111/1755-0998.12387.
Peakall R, Smouse PE. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research - an update. Bioinformatics. 2012;28:2537–9.
We thank Emi Nishioka for collecting the spike trait data. We also thank Hisashi Tsujimoto for sharing DArT genotype data. This work was supported by JSPS KAKENHI Grant Numbers 22310144 and 15H04439.
The authors declare that they have no competing interests.
YM conceived and designed the experiments, contributed materials, supplied DArT and trait data, analyzed the data, and wrote the manuscript. ST conceived and designed the experiments, and supplied trait data. TK contributed materials. All authors read and approved the final manuscript.
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Matsuoka, Y., Takumi, S. & Kawahara, T. Intraspecific lineage divergence and its association with reproductive trait change during species range expansion in central Eurasian wild wheat Aegilops tauschii Coss. (Poaceae). BMC Evol Biol 15, 213 (2015). https://doi.org/10.1186/s12862-015-0496-9
- Flowering time
- Life history
- Natural variation
- Spike and spikelet traits
- Species range expansion