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Laboratoire de ressources génétiques et d'amélioration des luzernes méditerranéennes, Unité de Recherche deGénétique et Amélioration des Plantes, INRA Montpellier, Domaine de Melgueil, 34130 Mauguio, France
Received for publication December 4, 1997. Accepted for publication October 15, 1998.
| ABSTRACT |
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Key Words: crop-to-weed gene flow Leguminosae Medicago sativa; population differentiation polyploidy
| INTRODUCTION |
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The relationship between a crop and its wild or weedy relatives is controlled through a similar balance between introgression and divergence (De Wet and Harlan, 1975
). Gene exchanges have promoted the morphological convergence between some wild and cultivated populations of rice (Langevin, Clay, and Grace, 1990
, and references therein), while gametophytic competition has been shown to be effective in maintaining the phenotypic integrity of both forms of pearl millet (Robert et al., 1991
). Selection can become disruptive with domestication (De Wet and Harlan, 1975
; Small, 1984
) since most agronomic traits (dwarfing, nonshattering infrutescence, etc.) are thought to be detrimental or maladaptive in the wild (Small, 1984
; Ellstrand and Hoffman, 1990
). Hybrids between wild and cultivated plants are often poorly adapted for survival in the parental environments (Heiser, 1973
) and usually occupy disturbed man-made habitats associated with cultivation (De Wet and Harlan, 1975
). Domestication should thus promote the establishment of premating reproductive barriers and thus reproductive isolation when hybridization results in strongly reduced fitness (Dobzhansky, 1940
; see also Howard, 1993
). However, the occurrence of ubiquitous hybridizations (Cucurbita: Kirkpatrick and Wilson, 1988
; Zea: Doebley, 1990
; Oryza: Langevin, Clay, and Grace, 1990
; Raphanus: Klinger, Arriola, and Ellstrand, 1992
; Beta: Santoni and Bervillé, 1992
; Boudry et al., 1993
; Setaria: Till-Bottraud et al., 1992
; Chenopodium: Wilson and Manhart, 1993
; Helianthus: Arias and Rieseberg, 1994
; Whitton et al., 1997
; Sorghum: Arriola and Ellstrand, 1996
) suggests that most reproductive barriers are imperfect and that striking morphological differences are often irrelevant to reproductive affinity (Wilson, 1990
). Crop-to-weed gene flow is mostly pollen mediated (Ellstrand and Hoffman, 1990
) and thus requires cross-compatibility and overlapping flowering periods within a crop-weed complex (Klinger, Arriola, and Ellstrand, 1992
). Hybridizations are not necessarily restricted to narrow zones of close parapatry, and long-distance gene dispersal up to hundreds metres away from the cultivated source has been reported (Klinger, Arriola, and Ellstrand, 1992
; Arias and Rieseberg, 1994
; Conner and Dale, 1996
), notably for Medicago sativa (Saint Amand, Skinner, and Peaden, 1996
).
Wild populations of Medicago sativa L. from Spain occur along roadsides and fields and grow in parapatry with cultivated plants in many locations. They overlap in flowering periods, share the same pollinators (honey bees, bumble bees, megachiles) and appear to be cross-compatible as experimental hybridizations are successful (Prosperi et al., 1996
). Both forms are autotetraploid, outcrossing, and partially self-incompatible. Typical wild and cultivated plants have, however, long been distinguished on the basis of conspicuous morphological traits (Casellas, 1962
; Delgado Enguita, 1989
, and references therein). Although a wide range of variability has been observed (Jenczewski et al., 1998
), most wild plants are distinguished by a crawling growth habit and rhizomes.
This pattern raises the question of the maintenance of morphological integrity in wild populations despite their parapatry with cultivated related forms. In this paper, we examine whether this pattern results from reduced crop-to-wild gene flow or from strong selection pressures exerted against cultivated traits in some wild populations. Knowledge of population structure for different kinds of characters is useful to identify the relative importance of gene flow, genetic drift, and selection. While the level of differentiation at neutral loci only depends on a balance between gene flow and genetic drift (Slatkin, 1987
), the pattern of variation for quantitative traits may also reflect the effects of selection. Therefore, comparing neutral and quantitative variation can help to determine the relative importance of natural selection and migration in the process of differentiation (Spitze, 1993
, and references therein; Long and Singh, 1995
; Podolsky and Holtsford, 1995
; Bonnin, Prosperi, and Olivieri, 1996
; Karhu et al., 1996
; Yang, Yeh, and Yanchuk, 1996
). In this study, we infer the amount of gene flow from the pattern of differentiation between wild and cultivated populations revealed with allozymes. We also analyze 13 quantitative traits in order to compare neutral and quantitative variation and thus evaluate the role of natural selection in the maintenance of morphological integrity in wild populations.
| MATERIALS AND METHODS |
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Original seeds collected from natural populations (no "increasing" step) and seeds representing the five cultivated populations were put in petri dishes for 2 d to germinate, then potted in a randomized ten-block design on 4 May 1995. Forty individuals per population (four individuals/block) were grown in 10-L plastic pots under greenhouse conditions until 20 April 1996 and afterwards on field conditions with continuous individual watering.
All 15 natural populations and five cultivated landraces were used for measuring quantitative traits. The allozyme survey was implemented on a subset of nine natural populations (Fig. 1) and three cultivated landraces (Aragon, Mediterraneo, and Tierra de campos). Population Malzeville, which belongs to Medicago falcata, a related species of the same complex, was electrophoretically surveyed in order to calibrate the amount of differentiation. This population originated from the north-east of France because we did not find any pure wild population of M. falcata during the collections in Spain.
Quantitative traits
Thirteen quantitative traits were scored on each individual. Morphological measurements were performed on the three main stems of each plant at the date of first flowering in 1996. They included the length and the diameter of each stem, the area of the fifth subapical leaf on each stem and the shape of its central leaflet. The shape factor was estimated as (4
x area) ÷ (perimeter)2. The number of rhizomes and the number of stems were scored on 3 April 1996 from 1 = no rhizome to 5 = numerous rhizomes and from 1 = 56 stems to 8 = more than 150 stems, respectively. Autumn regrowth and winter growth were measured on the basis of the dry matter produced on 25 October 1996 and 9 March 1997, respectively. The ability to regrow after the first cut (performed on 18 April 1996) was scored as the total sum of day-degrees accumulated since 18 April (calculated on base temperature 0°C) that was necessary for a plant to flower again in 1996. Vegetative productivity was estimated as the total dry matter produced from 9 March to 16 July 1997 over all successive cuts. Flowering time in 1997 was expressed as the total sum of day-degrees accumulated since 9 March that was necessary for a plant to flower in 1997. Spring growth and regrowth efficiencies were measured by the dry matter produced at flowering in 1997 related to the total sum of day degrees accumulated since 9 March, and by the dry matter produced on 16 July 1997 related to the total sum of temperature since the last individual cut, respectively.
Electrophoresis techniques
Fresh pieces of actively growing young leaf tissue were ground in cold 0.1 mol/L Tris-HCl pH 7.2 extraction buffer. The supernatant was absorbed onto filter paper wicks, kept frozen at -80°C overnight, and electrophoresed the next morning. The filter paper wicks were loaded onto 13% starch gels. We used the following enzyme systems: 6-phosphogluconate dehydrogenase (6PGDH), esterase (EST), isocitrate dehydrogenase (IDH), leucine aminopeptidase (LAP), malate dehydrogenase (MDH), and menadione reductase (MRD). The following buffer systems were used to assay the indicated enzymes: TRIS-citrate pH 7.0 for 6-PGDH and IDH; lithium-borate pH 8.0 for LAP, EST, and MRD; histidine pH 5.7 for MDH. Banding intensity was used to identify unbalanced heterozygotes. Segregation patterns of polymorphic loci were verified by analyzing progenies issued from crosses and selfing.
Quantitative trait analysis
Statistical analyses were performed using the SAS/STAT software package (SAS, 1989
). The length and the diameter of each stem, the area of the fifth subapical leaf on each stem, and the shape of its central leaflet were measured three times on the same individual. Since the estimated repeatability coefficients (Falconer, 1989
) were > 0.6 for all measurements, the average value over the three replicates was used in the subsequent analyses. Principal Components Analysis (Proc PRINCOMP) was performed on the correlation matrix of traits in order to explore the overall variability. Hierarchical clustering (average method: Proc CLUSTER) was carried out on the coordinates of every plant on the principal components whose eigenvalue was higher then 1. Pseudo-t and pseudo-F values were used to determine the optimal number of clusters. Multivariate analysis of variance (Proc GLM) was used to test whether populations differed from one another and comparisons by pairs of populations were implemented with the contrast method. Given the large number of comparisons, a sequential Bonferroni test (Holm, 1979
) was used to adjust the probability of first-type error to the number of comparisons (Rice, 1989
). Univariate analysis of variance (Proc GLM) and Duncan multiple range tests were performed to detect differences among populations for each trait.
Allozyme analyses
Within-population genetic diversity was estimated as the mean number of alleles per locus (A), the effective number of alleles [Ae = 1 - /(1 - H)], the percentage of polymorphic loci (P), considering a locus as polymorphic when the most common allele had a frequency
0.95, and Nei's index (1973)
of mean gene diversity (H). Departure from Hardy-Weinberg expectations was checked for each polymorphic locus in each population by a Fisher's exact test performed between the expected and observed size of each genotypic class. Differentiation was measured with the parameter
described by Ronfort et al. (1998)
. In autotetraploid organisms, this parameter is analogous to the "correlation between truly outcrossed mates" described for diploid populations (Tachida and Yoshimaru, 1996
). Interestingly, this parameter does not depend on the proportion of double reduction in autotetraploids (i.e.,
: independent distribution of sister chromatids into gametes; see Bever and Felber, 1992
) and can thus be computed over loci. As shown by Ronfort et al. (1998)
, the expected value of FST for an autotetraploid species in an island model of population structure is FST = 1/(1 + 8Nem), where Ne is the inbreeding effective population size, which depends on the real demographic size, the selfing rate, and the migration rate. FST thus depends on s and
. Under the island model of population structure, the expected value of
is 1/1 + 2Nm, i.e., independent from s and
. Estimations of these parameters were computed using the ANOVA framework developed by Weir and Cockerham (1984)
extended for autotetraploid organisms (Ronfort et al., 1998
). Differentiation significance was checked through Fischer's exact tests (Raymond and Rousset, 1995
) expanded for autotetraploids (M. Raymond, Institut des Sciences de lévolution, Montpellier, France). Differentiation between groups of populations was assessed through a hierarchical analysis (Weir, 1996
). Confidence intervals for the among-group differentiation were built through permutations (Sokal and Rohlf, 1995
).
| RESULTS |
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Multivariate pairwise comparisons (contrast method) showed that populations E032, E066, E107, E109, E112, E129, and E132 did not differ from one another, as compared to the overall variability among the typical wild populations. Population E039 only differed from E129 and E066.
The remaining four populations were significantly different from most of the others. Population E073 displayed few longer stems, more elongated leaves, a greater autumn regrowth, a shorter flowering time in 1997, and a lower growth efficiency. Most of these features account for introgressions from M. falcata, which can be ascertained by the presence of variegated flowers and C-shaped pods. Population E143 had more slender stems and smaller leaves (Table 3). Population E118 was characterized by a faster spring growth with a lower growth efficiency and a lower autumn regrowth. Population E062 had more numerous rhizomes and a faster spring growth.
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Populations with intermediate composition (group 3)
Multivariate pairwise comparisons showed that only populations E064 and E097 significantly differed from one another (Pillai's trace = 0.40; Pr > F = 0.0001). The results of the univariate analyses of variance strictly agreed with the relative population composition (Table 2). Population E064 contained 75% of plants from cluster 1 and displayed, on average, smaller leaves, more slender and numerous stems, more rhizomes, and a lower winter growth (Table 5). Population E097 contained 75% of plants from cluster 2 and showed the highest winter growth, while population E147 displayed intermediate values for most traits (Table 5).
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Within-population analysis
In most populations and for most loci, one allele was usually much more common than the others. The effective number of alleles per locus was therefore smaller than the average number of alleles (Table 6).
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Fisher's exact tests show that populations did not significantly depart from Hardy-Weinberg equilibrium. However, genotypic frequencies observed at the locus LAP1 did not fit the Hardy-Weinberg's expectations for six populations (E147, E143, E129, E066, E062, and E032). This result was probably due to the presence of null alleles that have already been reported at this locus in M. sativa (Birouk and Dattée, 1989
) and in annual diploid species of Medicago (unpublished data).
Among-population analysis
We did not find any "diagnostic" alleles (i.e., common in some populations but absent from the others) to distinguish between M. falcata (Malzeville) and M. sativa, nor between the cultivated landraces and the natural populations. The genetic differentiation between all populations was statistically significant (
= 0.1865
FST = 0.0865; P < 0.0001). The strongest differentiation was observed between Malzeville (M. falcata) and all the populations of M. sativa (Table 7). The value of
estimated over all populations was approximately halved when Malzeville was removed from the analysis (
= 0.1091
FST = 0.0490; P < 0.0001).
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= 0.0140
FST = 0.0052; P = 0.3547). The natural populations (groups 1 and 3) were significantly differentiated from one another (
= 0.0886
FST = 0.0409; P < 0.0001), but when considered as a whole they were not differentiated from the cultivated ones (
among group = 0.0297
FST among group = 0.0135 ns). These results are due to: (1) the strong differentiation found between population E039 and all the other natural or cultivated populations, (2) the close proximity of populations E032 and E066 with the cultivated landrace Aragon, and (3) the lack of differentiation between populations E064 and E147 and all the cultivated landraces (Table 7). When considered as a group, populations E064 and E147 (group 3) were neither differentiated from the typical wild populations (
among group = 0.0196
FST among group = 0.0092 ns) nor from the cultivated ones (
among group = -0.0085
FST among group = -0.0035 ns). When populations E039, E064, and E147 were removed from the analysis, the remaining typical wild populations now appeared significantly differentiated from the cultivated ones (
among group = 0.0879
FST. among group = 0.0191**). | DISCUSSION |
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Evidence for the occurrence of crop-to-weed gene flow
Populations E064 and E147 were neither differentiated from the typical wild populations nor from the cultivated landraces with respect to allozymes. This result strongly suggests that gene flow occurred from crop to wild populations. Though these patterns of differentiation could simply have resulted from a balanced blend of wild and cultivated individuals, several pieces of evidence attest that populations E064 and E147 were likely to be of hybrid origin.
First, populations E064 and E147 were not only intermediate for allozymes but also for quantitative traits (Tables 46![]()
). This trend was not due to linkage disequilibrium because there was no significant association between the quantitative traits and the allozymic loci (data not shown). Second, populations E064 and E147 contained a continuous range of plants with intermediate features (Fig. 3), which is generally recognized as a proof for hybridization and introgression (Jensen et al., 1993
; Albert, d'Antonio, and Schierenbeck, 1997
; see, however, Heiser, 1973
; Rieseberg and Ellstrand, 1993
). Third, genotypic frequencies in populations E064 and E147 were not different from those expected under random mating, which suggests that there was no positive assortative mating (i.e., homogamy) despite their heterogeneous composition (Fig. 3). Fourth, population E064 displayed a similar low level of genetic diversity as the cultivated landraces (Table 7). This reduced amount of diversity is exactly the trend we would expect when gene flow occurs from a genetically depauperate cultivated source into a variable sink natural population (Ellstrand and Elam, 1993
).
As an alternative to hybridization, populations E064 and E147 could be viewed as the remnants of an ancestral form out of which the natural populations and the cultivated landraces have differentiated (e.g., Heiser, 1973
; Small, 1984
). This hypothesis is very unlikely because domestication of M. sativa began in the second millennium BC, in the Armenian highlands (Michaud, Lehman, and Rumbaugh, 1988
) long before its first introduction into Spain in the first century BC, from Italy (Bolton, 1962
). The present-day landraces are thus more likely to be derived from preexisting domesticates introduced into Spain through the successive waves of human settlement (Bolton, 1962
; Michaud, Lehman, and Rumbaugh, 1988
; Prosperi, Guy, and Balfourier, 1995
), rather than from a wild native forms.
Finally, further support for the occurrence of gene flow is that Aragon was both the most widely and intensively cultivated landrace in Spain (Michaud, Lehman, and Rumbaugh, 1988
) and the only one that was not significantly differentiated from four (out of nine) natural populations for allozymes (Table 7). This observation is notably true for populations E032 and E066.
The putative effects of natural selection
Populations E032 and E066 were not significantly differentiated from Aragon for allozymes but were different from all the cultivated landraces with respect to quantitative traits. They only contained wild-type individuals.
A large number of studies have now been published that detail the comparative divergence of phenotypic and allozymic characteristics (Spitze, 1993
, and references therein; Long and Singh, 1995
; Podolsky and Holtsford, 1995
; Bonnin, Prosperi, and Olivieri, 1996
; Karhu et al., 1996
; Yang, Yeh, and Yanchuk, 1996
). Most of these have reported strongest differences with analyses of quantitative traits data than with electrophoretic ones and have suggested that natural selection acting upon the quantitative traits is responsible for the different patterns of differentiation revealed by neutral and quantitative traits. In our study, the contrasting patterns of variability observed in populations E032 and E066 may suggest that gene flow occurred from crop to wild populations and that strong divergent selection eliminated the cultivated traits from natural populations. It is worthwhile noting that the traits we measured in this study are likely to reflect divergent selective pressures between the wild and cultivated populations. Erected growth habit, productivity, growth, and regrowth efficiencies have been selected by man for hay production under irrigation. These traits are likely to be maladaptive in the wild because they are water consuming (Bolton, 1962
; Melton, Moutray, and Bouton, 1988
) and thus detrimental for survival in the dry areas where natural populations usually settle in.
Though this study does not provide direct estimate of the strength of natural selection, it does suggest that selective pressure may play a significant role in maintaining the morphological originality of populations E032 and E066. Controlled transplant experiments are now required to confirm this hypothesis.
The rate of crop-to-weed gene flow is variable
The remaining populations were significantly different from all the cultivated landraces for both allozymes and quantitative traits, although the pairwise amounts of allozymic differentiation often remained low (Table 7). This limited population structure is likely to account for the very slow genetic drift that may be expected for an autotetraploid allogamous organism like M. sativa (Haldane, 1930
; Moody, Mueller, and Soltis, 1993
).
The differences observed between natural and cultivated populations for both allozymes and quantitative traits suggest that these natural populations were isolated with regard to the cultivated landraces. The occurrence of gene flow between wild and cultivated populations of Medicago sativa thus varies in space and/or in time. This variation may be due to a combination of factors. Cultivated landraces usually suffer from a rapid turnover (every 34 yr) due to their rotation with other crops, while the natural populations occupy open manmade habitats (roadside, orchard) that are frequently disturbed. The episodes of parapatry between cultivated landraces and natural populations are therefore continuous neither in time nor in space so that crop-to-weed gene flow is locally and temporarily restricted. Also, cultivated landraces are mainly used for hay (Michaud, Lehman, and Rumbaugh, 1988
) and usually harvested whenever the first flowers appear (10% flowering), because this schedule allows consistent forage yield and quality. Thus, the size of the "cultivated pollen pool" is often reduced and this should limit the extent of gene flow from crop to wild populations. Finally, natural populations are sometimes dense and continuous. The foraging pollinators are then likely to spend more time within these large populations, reducing proportionately the rate of interpopulation mating (Pyke, 1984
). For a given distance between crop and weeds, the rate of pollen gene flow effectively decreases as the size of the recipient weed population increases (Klinger, Arriola, and Ellstrand, 1992
).
Theoretical developments predict that variable migration rate or population size allow for the establishment and maintenance of stronger differentiation among populations (Whitlock, 1992
; Barton and Whitlock, 1996
). They could thus be relevant to the maintenance of the integrity of wild populations, in combination with selective pressure.
Implications for the release of transgenic plants
Our study suggests that crop-to-weed gene flow occurred between wild and cultivated populations in Spain and that neutral alleles were maintained over time. Hybridization is also likely with the numerous other cross-compatible widely distributed species associated with M. sativa. Small (1984)
reported that hybrid swarms and backcross hybrids occur in nature between domesticated ssp. sativa and wild ssp. falcata at both ploidy levels (2n and 4n). This was shown to result in a wide variety of intermediate forms, including M. varia, which is abundant in many Mediterranean areas. Medicago sativa is the world's most important forage crop (Michaud, Lehman, and Rumbaugh, 1988
) and has already been transformed with an herbicide resistance marker gene (D'Halluin, Botterman, and De Greef, 1990
). Our study thus calls for a more extensive characterization of the amount of crop-to-weed gene flow among the Medicago species, as a prerequisite to the release of genetically modified alfalfa plants.
| FOOTNOTES |
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2 Author for correspondence (tel: 334 67 29 06 19, fax: 334 67 29 39 90, e-mail: jenczewski{at}ensam.inra.fr
). ![]()
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