Annals of Botany 95/1 © Annals of Botany Company 2005; all rights reserved
The Effects of Nuclear DNA Content (C-value) on the Quality and Utility of AFLP Fingerprints
Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3DS, UK
* For correspondence. E-mail m.fay{at}kew.org
Received: 25 January 2004 Returned for revision: 15 April 2004 Accepted: 4 October 2004
| ABSTRACT |
|---|
|
|
|---|
Background and Aims Nuclear DNA content (C-value) varies approximately 1000-fold across the angiosperms, and this variation has been reported to have an effect on the quality of AFLP fingerprints. Various methods have been proposed for circumventing the problems associated with small and large genomes. Here we investigate the range of nuclear DNA contents across which the standard AFLP protocol can be used.
Methods AFLP fingerprinting was conducted on an automated platform using the standard protocol (with 3 + 3 selective bases) in which DNA fragments are visualized as bands. Species with nuclear DNA contents ranging from 1C = 0·2 to 32·35 pg were included, and the total number of bands and the number of polymorphic bands were counted. For the species with the smallest C-value (Bixa orellana) and for one of the species with a large C-value (Damasonium alisma), alternative protocols using 2 + 3 and 3 + 4 selective bases, respectively, were also used.
Key Results Acceptable AFLP traces were obtained using the standard protocol with 1C-values of 0·308·43 pg. Below this range, the quality was improved by using 2 + 3 selective bases. Above this range, the traces were generally characterized by a few strongly amplifying bands and noisy baselines. Damasonium alisma, however, gave more even traces, probably due to it being a tetraploid.
Conclusions We propose that for known polyploids, genome size is a more useful indicator than the 1C-value in deciding which AFLP protocol to use. Thus, knowledge of ploidy (allowing estimation of genome size) and C-value are both important. For small genomes, the number of interpretable bands can be increased by decreasing the number of selective bases. For larger genomes, increasing the number of bases does not necessarily decrease the number of bands as predicted. The presence of a small number of strongly amplifying bands is likely to be linked to the presence of repetitive DNA sequences in high copy number in taxa with large genomes.
Key words: AFLP, genome size, C-value, ploidy, repetitive DNA
| INTRODUCTION |
|---|
|
|
|---|
Nuclear DNA content in angiosperms varies approximately 1000-fold (1C = approx. 0·1 to 127·4 pg [1 pg = 980 Mb], where 1C is the amount of DNA in the unreplicated gametic nucleus of an organism), affecting a wide range of characteristics, including rate of cell division, sensitivity to radiation, ecological behaviour in plant communities and optimal environment for crops (summarized in Bennett and Smith, 1976
Despite its relatively high ploidy, the C-value of hexaploid T. aestivum is only approximately half that of the diploid Cypripedium calceolus (1C = 32·35 pg) and only 14 % of that of tetraploid Fritillaria assyriaca, so it is clear that polyploidy does not account for all the observed variation. SanMiguel et al. (1996)
demonstrated that at least 50 % of the nuclear genome of Zea mays consists of retrotransposons, and, if this is a general pattern, retrotransposon activity appears to be a good candidate for explaining the existence of such large genomes. Retrotransposons have been detected in some taxa with large genomes, including Lilium henryi (Smyth et al., 1989
; Leeton and Smyth, 1993
; C-value unknown, but Lilium spp. that have been measured have 1C = 32·7543·20 pg) and Iris brevicaulis and I. fulva (1C = approx. 10 pg), with one group of retrotransposons alone accounting for 610 % of the genome (Kentner et al., 2003
).
The vast range of nuclear DNA content, the different causes of evolution in DNA content and the relatively high percentage of the genome made up of highly repetitive sequences, at least in some taxa, have a marked effect on many traits of organisms, and DNA C-value has been referred to as a key character in biology and biodiversity (Bennett et al., 2000
). Recently, it has been demonstrated that increase in nuclear DNA content is correlated with increased risk of extinction in plants (Vinogradov, 2003
), possibly due to selfish DNA being maladaptive.
In addition to its effect on biological traits, nuclear DNA content also has a phylogenetic pattern (e.g. Leitch et al., 1998
; Soltis et al., 2003
; Leitch et al., 2005
) and is one of the major factors taken into account in the choice of model organisms. Thus, taxa initially chosen for sequencing projects all had relatively small genomes.
It has been suggested that genome size is likely to have an effect on multilocus genetic fingerprinting techniques that assay the nuclear genome. More specifically, earlier studies have indicated that a large nuclear DNA content has indeed caused problems in some cases (Costa et al., 2000
; Han et al., 2000
; Fay and Cowan, 2001
; Koebner et al., 2001
; Fay et al., 2002b
; see below for further information). Here we investigate the effect of variation in nuclear DNA content on one widely used genetic fingerprinting technique, AFLP.
Vos et al. (1995)
developed this technique, which they called AFLP (amplified fragment length polymorphism) because of its similarity to RFLP (restriction fragment length polymorphism). Both techniques involve the cutting of genomic DNA with restriction endonucleases followed by the visualization of the resulting DNA fragments as bands. Polymorphisms detected in both methods can arise from loss or gain of restriction sites or insertions/deletions between restriction sites. Major differences between the two techniques, however, are that AFLP relies on detection of PCR products by electrophoresis instead of Southern hybridization as used in RFLP, and that AFLP is generally a dominant marker system whereas RFLP is a co-dominant marker system (i.e. in AFLP it is not normally possible to distinguish between homozygotes and heterozygotes at an individual locus). Vos et al. stated that the AFLP technique provides a novel and very powerful DNA fingerprinting technique for DNAs of any origin or complexity. Since the publication of the AFLP technique, it has quickly become one of the more widely used methods of DNA fingerprinting for crops and wild plant species (e.g. Mueller and Wolfenbarger, 1999
; Ridout and Donini, 1999
; Fay and Krauss, 2003
).
For AFLP, genomic DNA is restricted with two different restriction endonucleases, and a subset of the resulting fragments is amplified using forward and reverse primers each with 14 (usually three) additional bases. The fragments are then visualized using radioactivity, silver staining or fluorescent dyes (the last for use with an automated sequencer). The resulting AFLP markers tend to show a strongly asymmetric size distribution, with a much higher proportion of smaller than larger fragments, and this pattern does not appear to be affected by GC content or by genome size (Vekemans et al., 2002
). Vekemans et al., however, studied species with relatively small genomes (Phaseolus lunatus, 1C = 0·7 pg, and Lolium perenne, 1C = 2·08 pg) and their modelling was based on genomes (up to 0·01 pg) much smaller than even the smallest angiosperm genomes. The effect of large genome size on fragment size distribution was thus not addressed.
AFLP markers have been shown to be widely distributed across the nuclear genome in Oryza sativa (Maheshwaran et al., 1997
; Zhu et al., 1998
), Zea mays (Vuylsteke et al., 1999
) and Pinus taeda (Remington et al., 1999
). In addition to the other characteristics of this technique, including reliability and high levels of polymorphism, AFLP thus provides a good general fingerprinting system. There is evidence, however, that AFLP markers show some clustering on genetic maps. For example, in Arabidopsis thaliana, while markers were found spread across different parts of the genetic map, there was evidence of some clustering around the centromeric regions of some linkage groups (Alonso-Blanco et al., 1998
). At least some AFLP markers consist of or include highly repetitive sequences and these may represent parts of retrotransposons in some cases (Reamon-Büttner et al., 1999
).
AFLP has a number of advantages over pre-existing techniques. Of particular relevance to work on rare plants, only a small quantity of DNA (typically 0·5 µg per restriction) is used because the technique is based on PCR, meaning that tiny quantities of plant material are required in most cases. In addition to this, the fingerprints (visualized as traces on automated platforms) are highly reproducible and consist of many markers, allowing greater discernment between closely related plants than other techniques such as random amplified polymorphic DNAs (RAPD) and microsatellites. As a result of these advantages, AFLP has now been successfully used in projects on a range of different species, including germplasm assessment (e.g. in Miscanthus; Hodkinson et al., 2002
), conservation-based studies of Astragalus cremnophylax (Travis et al., 1996
), Populus euphratica (Fay et al., 1999
), Medusagyne oppositifolia and Rothmannia annae (Fay et al., 2000
), Tecophilaea cyanocrocus and Tulipa sprengeri (Maunder et al., 2001
), Grevillea scapigera (Krauss et al., 2002
) and Cosmos atrosanguineus (Wilkinson et al., 2003
), studies of species delimitation in Calopogon spp. (Goldman et al., 2004
), Dactylorhiza spp. (Hedrén et al., 2001
) and Phylica spp. (Richardson et al., 2003
), paternity analysis in Persoonia mollis (Krauss, 2000
), and studies of hybridization in Sorbus spp. (Fay et al., 2002a
) and Schoenoplectus spp. (Fay et al., 2003
).
In the original paper describing the method, Vos et al. (1995)
showed that it was possible to obtain AFLP fingerprints from organisms with a wide range in DNA content (phage
, Autographa californica Nuclear Polyhedrosis Virus (AcNPV), Acinetobacter, Saccharomyces and Homo sapiens, plus the angiospermsin order of increasing C-valueArabidopsis thaliana, Cucumis sativus, Solanum lycopersicon, Brassica napus, Lactuca sativa, Zea mays and Hordeum vulgare) with 1C-values up to 5440 Mb (5·5 pg) by using primers with differing numbers of selective nucleotides (13) at the 3' end based on the EcoRI and MseI restriction sites, giving 26 selective nucleotides in total. The angiosperms chosen by Vos et al. have 1C-values ranging from 157 Mb (0·16 pg) in A. thaliana (Bennett et al., 2003
) to 5440 Mb (5·55 pg) in H. vulgare (Bennett and Smith, 1976
), and these all yielded acceptable AFLP fingerprints with either 2 + 3 or 3 + 3 selective nucleotides. In the AFLPTM Plant Mapping Protocol (Applied Biosystems, 1996
), the use of 2 + 3 selective bases for small plant genomes (50500 Mb; approx. 0·050·51 pg) and 3 + 3 selective bases for regular plant genomes (5006000 Mb, 0·516·12 pg) is recommended. However, angiosperms show a far wider range in C-value (up to 1C = 127·4 pg in Fritillaria assyriaca; Bennett and Smith, 1976
) than that sampled by Vos et al., and various authors have reported difficulties in obtaining high quality AFLP using the standard technique with angiosperms possessing larger C-values (1C > 14700 Mb; 15 pg) e.g. Alstroemeria spp. (Han et al., 2000
), Pinus pinaster (Costa et al., 2000
), Cypripedium calceolus (Fay and Cowan, 2001
; Fay et al., 2002a
), Triticum aestivum (Koebner et al., 2001
) and Cephalanthera longifolia (Fay et al., 2002a
).
The wide range in C-values observed in angiosperms will have a marked effect on the number of fragments produced in restriction digests, and using the standard AFLP technique, we have observed that species with high C-values (1C > 15 pg) tend to produce traces with large numbers of weakly amplifying and often co-migrating bands (Fay and Cowan, 2001
; Fay et al., 2002a
). As a result, only relatively few bands can be reliably scored, and these tend to be present in most or all individuals. The variation present is normally found in the weak bands and, due to this problem, the level of variation identified is almost certainly an underestimate.
There are, however, modifications to the standard AFLP technique that can generate reliable fingerprints for some problematic species. Perhaps the simplest modification is to change the number of bases in one or both of the selective primers (Vos et al., 1995
). Decreasing the number of bases can generate higher quality traces in species with smaller genomes (e.g. Vos et al., 1995
; Inocencio et al., in press
). Increasing the number of bases reduces the number of fragments amplified and can generate cleaner genetic fingerprints in species with larger genomes. By using a 4-base extension on the MseI primer in conjunction with a more stringent PCR protocol rather than the standard AFLP technique, Krauss (1999)
was able to generate cleaner fingerprints and assign paternity to offspring in Persoonia mollis (Proteaceae; C-value unknown). Similarly, Costa et al. (2000)
used a 4-base MseI primer extension with Pinus pinaster (1C = 24·35 pg), while Han et al. (1999
, 2000)
used a 4-base MseI primer extension together with a 4-base EcoRI primer extension in Alstroemeria spp. (1C = 22·139·5 pg) following a modified pre-selective PCR amplification. In vandaceous orchid hybrids (C-values unknown), clean and reproducible AFLP fingerprints were obtained using a 4-base extension on the EcoRI primer (Chen et al., 1999
). In our trials, however, we have failed to produce high quality AFLP traces for several taxa with large genomes, notably Cypripedium calceolus (1C = 32·35 pg) and Cephalanthera longifolia (1C = 16·8 pg).
Another modification to AFLP involves the use of methylation-sensitive restriction enzymes such as PstI in preference to EcoRI for large and complex conifer genomes [Picea abies (1C = 18·6 pg); Paglia and Morgante, 1998
] and Sse83871 for Triticum aestivum (1C = 17·3 pg; Donini et al., 1997
). However, Sse83871 is sensitive to DNA methylation, and this could lead to polymorphic bands being detected that are due to different levels of methylation between tissues and samples rather than differences in DNA sequences. Growth of plant material under controlled conditions and use of the same tissue type for all individuals are likely to minimize this problem (Donini et al., 1997
), but such approaches will be difficult or impossible to apply to materials collected under uncontrolled growth conditions in nature and where the amount and type of tissue available are limited due to scarcity of the species involved.
To circumscribe the range of nuclear DNA content over which the standard AFLP protocol on an automated platform is of use with wild species, we present data here for angiosperms with a range of nuclear DNA contents (1C = 0·2032·35 pg). We also provide preliminary data relating to the use of 2 + 3 and 3 + 4 selective bases for two species.
| MATERIALS AND METHODS |
|---|
|
|
|---|
DNA samples
Representative DNA samples were taken from the DNA Bank at the Royal Botanic Gardens, Kew. The species and the number of samples included are listed in Table 1.
|
AFLP fingerprinting
AFLP was performed according to the AFLPTM Plant Mapping Protocol (Applied Biosystems, 1996
Initially a primer trial was conducted for each species using 912 different normal genome selective primer combinations (3 + 3 selective bases). From this, the primer combinations that gave the clearest traces with the most interpretable bands were chosen. In the cases where large or small genome selective primer combinations were used, a further primer trial was conducted and appropriate primers chosen again on the basis of clarity and number of bands. The primer combinations used in the main study are listed in Tables 1
3.
|
|
The reactions were separated on a 5·0 % polyacrylamide gel using an ABI 377 automated sequencer. GeneScan 2·1 and Genotyper 2·0 (Applied Biosystems) were used to analyse bands.
Data analysis
Bands were scored as either present or absent for all individuals and exported from Genotyper into a Microsoft Excel spreadsheet. We then calculated the total number of scored bands per species, the number and percentage of polymorphic bands, and the ranges of band number per sample.
| RESULTS |
|---|
|
|
|---|
Standard protocol
We obtained AFLP traces for all species tested. However, the quality of the traces and the number of bands that could be scored was variable (Fig. 1; Table 1). Although quality of AFLP traces is difficult to assess quantitatively, those obtained for Bixa orellana (the species with the smallest C-value tested) were clearly suboptimal, with relatively few peaks, most of which amplified comparatively weakly. In contrast, those obtained for Zostera marina (with a slightly larger C-value) appeared better with clearer bands, although the total number of bands scored was not much greater. Sorbus aria and Bromus interruptus both performed well, even though the C-values differ more than tenfold. Although the number of bands scored for S. aria was greater than that for Z. marina, the number of strongly amplifying bands was lower (Fig. 1), possibly due to the suggested tetraploid origin of Maloideae (see Discussion). Despite their relative C-values, Damasonium alisma produced clearer traces than Cephalanthera longifolia and Tulipa sprengeri, although this could be due to D. alisma being a tetraploid (see Discussion). Cypripedium calceolus gave poor traces with relatively few, strongly amplifying bands, and low levels of polymorphism. In D. alisma, C. longifolia, T. sprengeri and C. calceolus, the percentage of polymorphic bands was low.
|
Small genome protocol
For Bixa orellana (Table 2), reduction of the number of selective bases from six to five increased the quality of the traces (Fig. 2) and the number of bands scored, but the percentage of polymorphic bands was similar (25·027·5 %) using both protocols.
|
Large genome protocol
For D. alisma (Table 3, Fig. 3) increasing the number of selective bases from six to seven increased the number of bands scored by approximately twofold from 26 to an average of 53 (range 4167) per primer combination. The overall percentage of polymorphic bands (12·0 %), however, remained similar.
|
| DISCUSSION |
|---|
|
|
|---|
Nuclear DNA content and AFLP quality
As previously recorded (see Introduction), nuclear DNA content is demonstrated to have a strong effect on the quality of AFLP. With the small genomes tested here, the quality of the traces is not a major problem with the standard protocol, but relatively few bands are detected. In the case of Bixa orellana, the number of bands was increased approximately twofold (Table 2) by decreasing the number of selective bases from six to five (the small genome protocol of Applied Biosystems). With both protocols we detected a similar level of polymorphism (25·027·5 %). Thus it appears that the estimate of genetic diversity obtained with this species is similar regardless of the protocol used. However, the larger number of bands detected means that the small genome protocol results in more resolving power between individuals.
As C-value increases, we saw an improvement in the quality of the traces (Fig. 1) and a general increase in the number of bands detected (Table 1) up to a nuclear DNA content of 1C = 8·43 pg (Bromus interruptus). The quality of the traces for Sorbus aria was a possible exception to the general trend, although band number scored fits into the increasing series. Maloideae (the subfamily of Rosaceae to which Sorbus belongs) are believed to have a polyploid origin and the mean nuclear DNA content of diploids in Maloideae is more than twice that found in other subfamilies (0·73 pg in Maloideae vs. 0·280·33 pg in the other subfamilies; Dickson et al., 1992
), and thus the true genome size of Sorbus aria may be approximately 0·33 pg, rather than 0·65. If this is the case, then this may explain the unexpectedly poor quality of the traces.
With genomes larger than that of Bromus interruptus, the quality of the traces and the number of bands detected decreased. It is difficult to assess the effect of nuclear DNA content on levels of polymorphism detected based on the data presented here alone, although in both cases where we present data for the same species using different protocols (Bixa orellana and Damasonium alisma), the percentage polymorphism is similar, regardless of the protocol. For D. alisma, the effect of increasing the number of selective bases from six to seven initially appears counterintuitive, as the number of bands recorded increased approximately twofold rather than decreasing by fourfold as would have been predicted on theoretical grounds. However, this increase in band number is due to an increase in the number that were interpretable rather than an increase in overall band number. In some cases, other types of data suggest that the figures for percentage polymorphism (a measure of genetic variability) are an underestimate in the case of species with large genomes. In Cephalanthera longifolia, populations have been shown to be as genetically variable as other outbreeding orchid species using allozymes (Scacchi et al., 1991
), as is also the case in the related species C. rubra (Scacchi et al., 1991
; Brzosko and Wróblewska, 2003
). Using three plastid microsatellite loci, we were able to detect four different haplotypes using the same range of material of C. longifolia for which we only detected two genotypes here (Micheneau, 2002
; C. Micheneau et al., Royal Botanic Gardens, Kew, UK, unpubl. res.). In Cypripedium calceolus, populations have been shown to have relatively high genetic diversity using allozymes (Brzosko et al., 2002
), and using only one variable plastid microsatellite we detected four different haplotypes for the same range of material for which we only detected two genotypes here (Fay and Cowan, 2001
). Using a larger number of length-variable plastid DNA sequences, we can now recognize several additional haplotypes (M. F. Fay et al., unpubl. res.).
The decrease in the number of AFLP bands scored in these larger genomes is due to the fact that many of the loci are not amplified strongly enough to be scored, rather than to a real decrease in the number of loci. This is evident from the noisy baseline in the traces for the species with larger genomes (Fig. 1). This noise represents weakly amplifying loci that do not reach the threshold for detection. Compounding this, in many cases it appears that the number of weak bands is such that many of them are of similar enough size to make reliable interpretation impossible. The weak amplification of many loci contrasts markedly with the strong amplification of the loci producing bands that can be scored. At least some of these strong bands represent repetitive, high copy loci, and it has been suggested that some may represent parts of transposable elements (Reamon-Büttner et al., 1999
). In Cypripedium calceolus, we have cloned some of the strongly amplifying bands, and some are indeed parts of retrotransposons. In one case, we have cloned 136 slightly different copies of one band, including 32 from one individual, supporting the idea that the strongly amplifying bands are present in high copy number (M. F. Fay et al., unpubl. res.).
Ploidy, nuclear DNA content and AFLP
On the basis of the data presented here, it appears that in polyploids the genome size (rather than the C-value) may be the factor effecting quality of AFLP as total nuclear DNA content increases. Thus the quality of the AFLP traces for Damasonium alisma (a tetraploid) is markedly superior not only to that for traces of Tulipa sprengeri (a diploid with a similar 1C-value) but also to that for those of Cephalanthera longifolia (a diploid with a 1C-value approximately 71 % of that of Damasonium alisma). On this basis, the quality of the traces for Bromus interruptus (a tetraploid) may be better than would be expected for a diploid with a similar 1C-value. Conversely, the quality of the traces for Sorbus aria was lower than expected, and this may be due to the proposed polyploid origin of Maloideae. The relatively high quality of the traces for Damasonium alisma may indicate that the standard protocol can be used with species where the genome size is
12·0 pg.
Other studies have used AFLP to investigate taxa of variable ploidy. In Dactylorhiza, the diploid species D. fuchsii and D. incarnata, the apparently autotetraploid D. maculata (derived from a yet to be identified diploid) and a range of allotetraploids, derived from hybridization events between D. fuchsii or D. maculata on the one hand and D. incarnata on the other, were studied (Hedrén et al., 2001
). Similar studies include those on diploid, triploid and tetraploid Miscanthus (Hodkinson et al., 2002
), diploid and hexaploid Calopogon (Goldman et al., 2004
) and tetraploid to dodecaploid (or possibly duodevigintiploid) Dupontia (Brysting et al., 2004
), and plants with higher ploidy levels produced AFLP traces of similar quality to those with lower ploidy levels. In all these cases, there was no evidence of decrease in band number with higher C-value, and the number of interpretable bands showed a general increase with ploidy level within each genus. It thus appears that there is a general pattern for polyploids to give higher quality AFLP traces than their C-value might indicate, whereas increases in DNA content per genome (>15·0 pg) cause a decrease in AFLP quality.
Choosing the appropriate AFLP protocol
It appears that polyploids give better AFLP traces than would be expected based solely on their 1C-value, and we therefore recommend the use of the genome size (rather than nuclear DNA content) as a more useful indicator of the utility of different AFLP protocols for polyploids. On the basis of the data presented here, we suggest that the standard protocol with 3 + 3 selective bases is useful for species where the genome size (not the 1C-value in polyploids) is in the range 0·312·0 pg (somewhat broader than the range of 0·516·12 pg, recommended by Applied Biosystems, 1996
). Below this range, reduction in the number of selective bases can increase the number of bands scored, but does not necessarily reveal a higher percentage polymorphism. Above this range, increasing the number of selective bases may be of utility in cases where the genome size is less than approx. 15 pg. For genomes >15 pg, the presence of repetitive loci in high copy number may mean that the reliable interpretation of loci present in low copy number (those that are likely to be polymorphic) is not achievable. In these cases, the use of other types of genetic markers that focus on particular regions of the genome are probably more appropriate. Nuclear microsatellites are one such marker type, although they may also not be ideal for species with large genomes. In addition to the long development time compared to AFLP, increasing genome size has been shown to have a negative effect on amplification of microsatellites, and it is consequently more difficult to work with microsatellites in species with large genomes (Garner, 2002
). Thus it appears that nuclear genome size may have a more general impact on genetic fingerprinting.
| ACKNOWLEDGEMENTS |
|---|
|
|
|---|
We thank Mark Chase and Mike Bennett for useful discussions and Carlos Martins and Jenny Brenchley who produced the AFLP traces for Bixa and Zostera, respectively.
| LITERATURE CITED |
|---|
|
|
|---|
-
Alonso-Blanco C, Peeters AJM, Koornneef M, Lister C, Dean C, van den Bosch N, Pot J, Kuiper MTR. 1998. Development of an AFLP based linkage map of Ler, Col and Cvi Arabidopsis thaliana ecotypes and construction of a Ler/Cvi recombinant inbred line population. Plant Journal 14: 259271.[CrossRef][Web of Science][Medline]
Applied Biosystems. 1996. AFLP plant mapping protocol. Part Number 4303146C. Foster City, CA: Applied Biosystems.
Bennett MD, Bhandol P, Leitch IJ. 2000. Nuclear DNA amounts in angiosperms and their modern uses807 new estimates. Annals of Botany 86: 859909.
Bennett MD, Leitch IJ. 1995. Nuclear DNA amounts in angiosperms. Annals of Botany 76: 113176.
Bennett MD, Leitch IJ. 2003. Plant DNA C-values database. Release 2.0. http://www.rbgkew.org.uk/cval/homepage.html.
Bennett MD, Leitch IJ, Hanson L. 1998. DNA amounts in two samples of weeds. Annals of Botany 82 (suppl. A): 121134.
Bennett MD, Leitch IJ, Price HJ, Johnston JS. 2003. Comparisons with Caenorhabditis (
100 Mb) and Drosophila (
175 Mb) using flow cytometry show genome size in Arabidopsis to be
157 Mb and thus
25 % larger than the Arabidopsis Genome Initiative estimate of
125 Mb. Annals of Botany 91: 547557.
Bennett MD, Smith JB. 1976. Nuclear DNA amounts in angiosperms. Philosophical Transactions of the Royal Society of London Series B, Biological Sciences 274: 227274.
Bennetzen J. 2002. Mechanisms and rates of genome expansion and contraction in flowering plants. Genetica 115: 2936.[CrossRef][Web of Science][Medline]
Bennetzen J, Ma J, Devos KM. 2005. Mechanisms of recent genome size variation in flowering plants. Annals of Botany 95: 127132.
Brysting AK, Fay MF, Leitch IJ, Aiken SG. 2004. One or more species in the arctic grass genus Dupontia?A contribution to the Panarctic Flora project. Taxon 53: 365382.
Brzosko E, Ratkiewicz M, Wróblewska A. 2002. Allozyme differentiation and genetic structure of the lady's slipper (Cypripedium calceolus) island populations in north-east Poland. Botanical Journal of the Linnean Society 138: 433440.[CrossRef]
Brzosko E, Wróblewska A. 2003. Genetic variation and clonal diversity in island Cephalanthera rubra populations from the Biebrza National Park, Poland. Botanical Journal of the Linnean Society 143: 99108.[CrossRef]
Chen X, Hoon LS, Man Wong S, Hwa Lee Y, Kuo J, Wing Yam T, Lin JJ. 1999. Amplified fragment length polymorphism analysis in vandaceous orchids. Plant Science 141: 183189.[CrossRef]
Costa P, Pot D, Dubos C, Frigerio JM, Pion C, Bodenes C, Bertocchi E, Cervera M-T, Remington DL, Plomion C. 2000. A genetic map of maritime pine based on AFLP, RAPD and protein markers. Theoretical and Applied Genetics 100: 3948.[CrossRef]
Dickson EE, Arumuganathan K, Kresovich S, Doyle JJ. 1992. Nuclear DNA content variation within the Rosaceae. American Journal of Botany 79: 10811086.[CrossRef]
Donini P, Elias ML, Bougourd SM, Koebner RMD. 1997. AFLP fingerprinting reveals pattern differences between template DNA extracted from different plant organs. Genome 40: 521526.
Fay MF, Cowan RS. 2001. Plastid microsatellites in Cypripedium calceolus (Orchidaceae): genetic fingerprints from herbarium specimens. Lindleyana 16: 151156.
Fay MF, Cowan RS, Beltran G, Allen B. 2000. Genetic fingerprinting of two endemics from the SeychellesMedusagyne oppositifolia (Medusagynaceae) and Rothmannia annae (Rubiaceae). Phelsuma 8: 1122.
Fay MF, Cowan RS, Simpson DA. 2003. Hybridisation between Schoenoplectus tabernaemontani and S. triqueter (Cyperaceae) species in the British Isles. Watsonia 24: 433442.
Fay MF, Gernandt DS, Cowan RS, Kitchen MAR, Kitchen C, Rich TCG. 2002a. Parentage of an unknown member of the Sorbus latifolia (Lam.) Pers. group. Watsonia 24: 91100.
Fay MF, Krauss SL. 2003. Orchid conservation genetics in the molecular age. In: Dixon KW, Kell SP, Barrett RL, Cribb PJ, eds. Orchid conservation. Kota Kinabalu: Natural History Publications (Borneo), 91112.
Fay MF, Lledó MD, Kornblum MM, Crespo MB. 1999. From the waters of Babylon? Populus euphratica in Spain is clonal and probably introduced. Biodiversity and Conservation 8: 769778.[CrossRef]
Fay MF, Qamaruz-Zaman F, Cowan RS, Thornton H. 2002b. Molecular techniques for orchid conservation genetic studies. In: J. Clark, Elliott WM, Tingley G, Biro J, eds. Proceedings of the 16th World Orchid Conference. Vancouver: Vancouver Orchid Society, 152157.
Garner TWJ. 2002. Genome size and microsatellites: the effect of nuclear size on amplification potential. Genome 45: 212215.[Medline]
Goldman DH, Jansen RK, van den Berg C, Leitch IJ, Fay MF, Chase MW. 2004. Molecular and cytological examination of Calopogon (Orchidaceae, Epidendroideae): circumscription, phylogeny, polyploidy, and possible hybrid speciation. American Journal of Botany 91: 707723.
Han T-H, De Jeu M, Van Eck H, Jacobsen E. 2000. Genetic diversity of Chilean and Brazilian Alstroemeria species assessed by AFLP analysis. Heredity 84: 564569.
Han T-H, van Eck HJ, De Jeu MJ, Jacobsen E. 1999. Optimization of AFLP fingerprinting of organisms with a large-sized genome: a study on Alstroemeria spp. Theoretical and Applied Genetics 98: 465471.[CrossRef]
Hanson L, Brown RL, Boyd A, Johnson MAT, Bennett MD. 2003. First nuclear DNA C-values for 28 angiosperm genera. Annals of Botany 91: 3138.
Hanson L, McMahon KA, Johnson MAT, Bennett MD. 2001. First nuclear DNA C-values for another 25 angiosperm families. Annals of Botany 88: 851858.
Hedrén M, Fay MF, Chase MW. 2001. Amplified fragment length polymorphisms (AFLP) reveal details of polyploid evolution in Dactylorhiza (Orchidceae). American Journal of Botany 88: 18681880.
Hodkinson TR, Chase MW, Renvoize SA. 2002. Characterization of a genetic resource collection for Miscanthus (Saccharinae, Andropogoneae, Poaceae) using AFLP and ISSR PCR. Annals of Botany 89: 627636.
Inocencio C, Cowan RS, Alcaraz F, Rivera D, Fay MF. in press. AFLP fingerprinting in Capparis subgenus Capparis related to the commercial sources of capers. Genetic Resources & Crop Evolution.
Kentner EK, Arnold ML, Wessler SR. 2003. Characterization of high-copy-number retrotransposons from the large genomes of the Louisiana iris species and their use as molecular markers. Genetics 164: 685697.
Koebner RMD, Powell W, Donini P. 2001. Contributions of DNA molecular marker technologies to the genetics and breeding of wheat and barley. In: Janick J, ed. Plant breeding reviews, 21. Hoboken: John Wiley and Sons, Inc., 181220.
Krauss SL. 1999. Complete exclusion of non-sires in an analysis of paternity in a natural plant population using AFLP. Molecular Ecology 8: 217226.
Krauss SL. 2000. Patterns of mating in Persoonia mollis (Proteaceae) revealed by an analysis of paternity using AFLP: implications for conservation. Australian Journal of Botany 48: 349356.[CrossRef]
Krauss SL, Dixon B, Dixon KW. 2002. Rapid genetic decline in a translocated population of the rare and endangered Grevillea scapigera (Proteaceae). Conservation Biology 16: 986984.[CrossRef]
Leeton PRJ, Smyth DR. 1993. An abundant LINE-like element amplified in the genome of Lilium speciosum. Molecular and General Genetics 237: 97104.
Leitch IJ, Bennett MD. 2004. Genome downsizing in polyploid plants. Biological Journal of the Linnean Society 82: 651663.[CrossRef]
Leitch IJ, Chase MW, Bennett MD. 1998. Phylogenetic analysis of DNA C-values provides evidence for a small ancestral genome size in flowering plants. Annals of Botany 82: 8594.
Leitch IJ, Soltis DE, Soltis PS, Bennett MD. 2005. Evolution of DNA amounts across land plants (Embryophyta). Annals of Botany 95: 207217.
Maheshwaran M, Subudhi PK, Nandi S, Xu JC, Parco A, Yang DC, Huang N. 1997. Polymorphism, distribution, and segregation of AFLP markers in a doubled haploid rice population. Theoretical and Applied Genetics 94: 3945.[CrossRef]
Maunder M, Cowan RS, Stranc P, Fay MF. 2001. The genetic status and conservation management of two cultivated bulb species extinct in the wild: Tecophilaea cyanocrocus (Chile) and Tulipa sprengeri (Turkey). Conservation Genetics 2: 193201.[CrossRef]
Micheneau C. 2002. Relations phylogénétiques des Neottieae (Orchidaceae) et étude de la variabilité génétique de Cephalanthera longifolia a l'aide de marqueurs moléculaires (séquencage et microsatellites chloroplastiques). Paris: DEA de Systématique Animale et Végétale, Muséum d'Histoire Naturelle, Paris, France.
Mueller UG, Wolfenbarger LL. 1999. AFLP genotyping and fingerprinting. Trends in Ecology and Evolution 14: 389394.
Paglia G, Morgante M. 1998. PCR-based multiplex DNA fingerprinting techniques for the analysis of conifer genomes. Molecular Breeding 4: 173177.
Petrov DA. 2001. Evolution of genome size: new approaches to an old problem. Trends in Genetics 17: 2328.[CrossRef][Web of Science][Medline]
Petrov DA. 2002. Mutational equilibrium model of genome size evolution. Theoretical Population Biology 61: 531544.[CrossRef][Web of Science][Medline]
Reamon-Büttner SM, Schmidt T, Jung C. 1999. AFLPs represent repetitive sequences in Asparagus officinalis L. Chromosome Research 7: 297304.[CrossRef][Web of Science][Medline]
Remington DL, Whetten RW, Liu B-H, O'Malley DM. 1999. Construction of an AFLP genetic map with nearly complete genome coverage in Pinus taeda. Theoretical and Applied Genetics 98: 12791292.[CrossRef][Web of Science][Medline]
Richardson JE, Fay MF, Cronk QCB, Chase MW. 2003. Species delimitation and the origin of populations in island representatives of Phylica (Rhamnaceae). Evolution 57: 816827.[CrossRef][Web of Science][Medline]
Ridout CJ, Donini P. 1999. Use of AFLP in cereals research. Trends in Plant Science 4: 7679.[CrossRef][Web of Science][Medline]
SanMiguel P, Tikhonov A, Jin Y-K, Motchoulskaia N, Zakharov D, Melake-Berhan A, Springer PS, Edwards KJ, Lee M, Avramova Z, Bennetzen JL. 1996. Nested retrotransposons in the intergenic regions of the maize genome. Science 274: 765768.
Scacchi R, De Angelis G, Corbo RM. 1991. Effect of breeding system of the genetic structure in three Cephalanthera spp. (Orchidaceae). Plant Systematics and Evolution 176: 5361.[CrossRef]
Smyth DR, Kalitsis P, Joseph JL, Sentry JW. 1989. Plant retrotransposon from Lilium henryi is related to Ty3 of yeast and the gypsy group of Drosophila. Proceedings of the National Academy of Science, USA 86: 50155019.
Soltis DE, Soltis PS, Bennett MD, Leitch IJ. 2003. Evolution of genome size in the angiosperms. American Journal of Botany 90: 15961603.
Travis SE, Maschinski J, Keim P. 1996. An analysis of genetic variation in Astragalus cremnophylax var. cremnophylax, a critically endangered plant, using AFLP markers. Molecular Ecology 5: 735745.[Medline]
Vekemans X, Beauwens T, Lemaire M, Roldán-Ruiz I. 2002. Data from amplified fragment length polymorphism (AFLP) markers show indication of size homoplasy and of a relationship between degree of homoplasy and fragment size. Molecular Ecology 11: 139151.[CrossRef][Medline]
Vinogradov AE. 2003. Selfish DNA is maladaptive: evidence from the plant Red List. Trends in Genetics 19: 609614.[CrossRef][Web of Science][Medline]
Vos P, Hogers R, Bleeker M, Rijans M, Van de Lee T, Hornes M, Frijters A, Pot J, Kuiper M, Zabeau M. 1995. AFLP: a new technique for DNA fingerprinting. Nucleic Acids Research 23: 44074414.
Vuylsteke M, Mank R, Antonise R, Bastiaans E, Senior ML, Stuber CW, Melchinger AE, Lübberstedt T, Xia XC, Stam P, Zabeau M, Kuiper M. 1999. Two high-density AFLP® linkage maps of Zea mays L.: analysis of distribution of AFLP markers. Theoretical and Applied Genetics 99: 921935.[CrossRef]
Wilkinson T, Wetten A, Prychid C, Fay MF. 2003. Suitability of cryopreservation for the long term storage of rare and endangered plant speciesa case history for Cosmos atrosanguineus. Annals of Botany 91: 6574.
Zhu J, Gale MD, Quarrie S, Jackson MT, Bryan GJ. 1998. AFLP markers for the study of rice biodiversity. Theoretical and Applied Genetics 96: 602611.[CrossRef]
This article has been cited by other articles:
![]() |
K. J. Duffy, G. Scopece, S. Cozzolino, M. F. Fay, R. J. Smith, and J. C. Stout Ecology and genetic diversity of the dense-flowered orchid, Neotinea maculata, at the centre and edge of its range Ann. Bot., August 1, 2009; 104(3): 507 - 516. [Abstract] [Full Text] [PDF] |
||||
![]() |
I. J. Leitch, I. Kahandawala, J. Suda, L. Hanson, M. J. Ingrouille, M. W. Chase, and M. F. Fay Genome size diversity in orchids: consequences and evolution Ann. Bot., August 1, 2009; 104(3): 469 - 481. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. S. Devey, R. M. Bateman, M. F. Fay, and J. A. Hawkins Genetic structure and systematic relationships within the Ophrys fuciflora aggregate (Orchidaceae: Orchidinae): high diversity in Kent and a wind-induced discontinuity bisecting the Adriatic Ann. Bot., August 1, 2009; 104(3): 483 - 495. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. F. Fay, R. Bone, P. Cook, I. Kahandawala, J. Greensmith, S. Harris, H. Ae. Pedersen, M. J. Ingrouille, and C. Lexer Genetic diversity in Cypripedium calceolus (Orchidaceae) with a focus on north-western Europe, as revealed by plastid DNA length polymorphisms Ann. Bot., August 1, 2009; 104(3): 517 - 525. [Abstract] [Full Text] [PDF] |
||||
![]() |
I. J. Leitch and M. F. Fay Plant Genome Horizons: Michael Bennett's Contribution to Genome Research Ann. Bot., April 1, 2008; 101(6): 737 - 746. [Full Text] [PDF] |
||||
![]() |
D. S. Devey, R. M. Bateman, M. F. Fay, and J. A. Hawkins Friends or Relatives? Phylogenetics and Species Delimitation in the Controversial European Orchid Genus Ophrys Ann. Bot., February 1, 2008; 101(3): 385 - 402. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. F. Kapraun Nuclear DNA Content Estimates in Green Algal Lineages: Chlorophyta and Streptophyta Ann. Bot., April 1, 2007; 99(4): 677 - 701. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. D. BENNETT and I. J. LEITCH Plant Genome Size Research: A Field In Focus Ann. Bot., January 1, 2005; 95(1): 1 - 6. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||



