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Electronic Journal of Biotechnology
Universidad Católica de Valparaíso
ISSN: 0717-3458
Vol. 10, Num. 3, 2007, pp. 387-399
Untitled Document

Electronic Journal of Biotechnology, Vol. 10, No. 3, July 15, 2007, pg. 387-399

RESEARCH ARTICLE

Extent and structure of genetic diversity in a collection of the tropical multipurpose shrub legume Cratylia argentea (Desv.) O. Kuntze as revealed by RAPD markers

Meike S. Andersson*1, Rainer Schultze-Kraft2, Michael Peters3 ,Myriam C. Duque4 ,Gerardo Gallego5

1Biodiversity International c/o CIAT, A.A. 6713Cali, ColombiaTel: 57 2 4450048. Ext. 113 Fax: 57 2 4450069 E-mail: m.andersson@cgiar.org 
2 Institute of Plant Production and Agroecology in the Tropics and SubtropicsUniversity of HohenheimD-70593 Stuttgart, GermanyTel: 49 711 459 23538 Fax: 49 711 459 24207 E-mail: rsk@uni-hohenheim.de
3International Center for Tropical Agriculture A.A. 6713Cali, ColombiaTel: 57 2 4450000. Ext. 3267 Fax: 57 2 445 0073 E-mail: m.peters-ciat@cgiar.org
4International Center for Tropical Agriculture A.A. 6713 Cali, Colombia Tel: 57 2 4450000. Ext. 3487 Fax: 57 2 445 0073 E-mail: mc.duque@cgiar.org
5International Center for Tropical Agriculture A.A. 6713 Cali, Colombia Tel: 57 2 4450000. Ext. 3265 Fax: 57 2 445 0073 E-mail: g.gallego@cgiar.org

Websites: http://www.uni-hohenheim.de
http://www.ciat.cgiar.org

*Corresponding author

Code Number: ej07037

Abstract

The tropical multipurpose shrub legume Cratylia argentea is well adapted to acid soils of low to medium fertility and has excellent drought-tolerance. Due to its high nutritive value it is particularly suited as forage for dry-season supplementation. A collection of 47 C. argentea accessions in a collection, derived from seed replicating of original accessions with differing geographic origin and morphological and agronomic characteristics was investigated using molecular markers (RAPD (random amplified polymorphic DNA)). Genetic diversity (HT = 0.145) in the collection was low, with 30% of differentiation among groups and high genetic similarity among accessions (GS = 0.805). Within-accession variability was high. One taxonomic mismatch and five possible duplicate accessions were identified. Our results suggest that the genetic diversity in the C. argentea accessions studied is relatively homogeneously distributed, indicating the likelihood of extensive outcrossing. The genetic diversity of original accessions should be assessed to determine if outcrossing has occurred during or before ex situ storage. This might also support any decision on whether accessions should be bulked rather than maintaining them individually.

Keywords: agroforestry, molecular markers, MPT (multipurpose shrubs and trees), tropics.

Abbreviations:

cv.: cultivated variety
MCA: multiple correspondence analysis
RAPD: random amplified polymorphic DNA

Article

Cratylia argentea (Desv.) O. Kuntze (syn. C. floribunda Benth., Dioclea argentea Desv.) is a drought-tolerant tropical multipurpose shrub legume with high potential for animal nutrition, particularly for dry season supplementation and silage, due to its high nutritive value (Argel and Lascano, 1998). The leafy shrub usually reaches a height of 1.5 to 3 m and has the potential to remain green and productive during dry seasons up to seven months. It is well adapted to acid soils of low to medium fertility and to elevations up to 1200 m.a.s.l.

Cratylia argentea contains only traces of tannins and its nutritive value is higher than that of most other shrub legumes adapted to acid soils (Schultze-Kraft, 1996). The species shows excellent regrowth after cutting and can be used as forage, soil cover, mulch and green manure (Argel and Lascano, 1998; Lascano et al. 2002). It is a valuable protein source in livestock production systems, particularly during the dry season, both in cut-and-carry (fresh fodder and silage) and in grazing systems (Argel and Lascano, 1998; Lascano et al. 2002). C. argentea can be easily propagated by seed, whereas vegetative propagation was unsuccessful (Pizarro et al. 1996).

The genus Cratylia is native to South America where it occurs south of the Amazon river, from western Peru to the state of Ceará in Brazil. The taxonomic delimitations within the genus are not yet defined. According to Queiroz and Coradin (1996) there are five species distinguished based on morphological characteristics and geographical distribution. Four of them, C. mollis Mart. ex Benth., C. hypargyraea Mart. ex Benth., C. bahiensis L.P. Queiroz and C. intermedia (Hassl.) L.P. Queiroz and R. Monteiro, are restricted to Brazil. The distribution range of C. argentea extends from western Peru to Bolivia and Brazil. The species occurs in a broad range of biogeographical regions such as the Cerrado, Caatinga, Yungas and Amazon provinces.

Collections of C. argentea are held in Brazil by Embrapa Recursos Genéticos e Biotecnologia, Brasília and Embrapa Cerrados, Planaltina (45 and 48 accessions, respectively), and by the International Center for Tropical Agriculture (CIAT), Cali, Colombia (57 accessions). However, a reconciled total collection probably comprises not more than 50 different accessions. The germplasm was mostly collected during general wild-legume collecting missions, i.e., where the target was a wide range of species. Depending on topography and soil variability, not only the distance between general legume sampling sites in these missions was variable but, subsequently, also the distance between individual C. argentea accessions. The accessions were collected in a diversity of environments and broadly represent the natural distribution of the species.

Agronomic and morphological evaluations across a range of sites in tropical America concentrated on a collection of 11 accessions (Schultze-Kraft, 1996) and as a result, acommercial variety consisting of a mixture of accessions CIAT 18516 and CIAT 18668 was released in Costa Rica as cv. (cultivated variety) Veraniega and in Colombia as cv. Veranera (Lascano et al. 2002). Recently, the agronomic and morphological diversity in an expanded collection of 38 accessions was described by Andersson et al. (2006a).

The aim of the present study was to complement the latter variability assessment by a molecular marker approach. The specific objectives were to assess and describe the genetic diversity (a) within a collection of 47 accessions, and (b) within accessions, and (c) identify possible duplicates and taxonomic mismatches. When choosing a molecular marker technique, one should not only consider the particular objective(s) of the study, but also the technical requirements and the cost and time investments implied. In the present case, random amplified polymorphic DNA (RAPD) markers were chosen since they are an effective and relatively inexpensive technique and do not require any prior sequence information (Jones et al. 1997; Chenuil, 2006). These dominant neutral markers sample the genome randomly generating multiple numbers of amplifiable polymorphic fragments, and can be applied to a wide range of plant and animal taxa. They are especially useful for distinguishing individuals, cultivars or accessions, and allow the quantification of similarities or differences (Jones et al. 1997; Parker et al. 1998).

Materials and Methods

Plant material and DNA extraction

The 47 Cratylia argentea accessions used in this study were collected mainly in the Brazilian states of Mato Grosso and Goiás in three collection missions in 1984, 1993 and 1995 (Figure 1, Table 1). Accessions are bulk samples of three plants per accession, representing populations at their respective collection sites. Two accessions (CIAT 18672 and CIAT 18957) were collected at the northern limit of the natural distribution range of the species in the Brazilian states of Pará and Tocantins, south of the Amazon river (03º 45’ S and 06º 30’ S, respectively). The only non-erect but prostrate and strongly climbing accession (CIAT 22397 'Yapacaní') was collected in Santa Cruz, Bolivia. Cratylia mollis CIAT 7940 was included as additional reference to validate the genetic assessment of C. argentea, expecting the genetic similarity among C. argentea accessions to be greater than between accessions of C. argentea and C. mollis, another drought tolerant legume shrub native to the dry Caatinga of north-eastern Brazil (Queiroz and Coradin, 1996).

Table 1. Origin of the Cratylia argentea accessions used in the present study (Queiroz and Coradin, 1996; CIAT Tropical Forages Database and G.P. da Silva, Embrapa Recursos Genéticos e Biotecnologia [personal communication]).


CIAT
No.

EMBRAPA No. State

Latitude

Longitude

Altitude
(masl)

Year of collection

18516

000167

Goiás

13º 22’S

46º 25’W

800

pre-1980

18667

000027

Mato Grosso

15º 43’S

55º 43’W

455

1984

18668

000035

Mato Grosso

15º 22’S

56º 13’W

175

1984

18671

000060

Mato Grosso

14º 46’S

57º 05’W

230

1984

18672

000086

Pará

03º 45’S

55º 14’W

140

1984

18674

000116

Mato Grosso

14º 38’S

52º 22’W

320

1984

18675

000124

Mato Grosso

14º 54’S

52º 17’W

380

1984

18676

000132

Goiás

16º 21’S

51º 20’W

450

1984

18957

000175

Tocantins

06º 30’S

48º 37’W

350

pre-1980

22373

000591

Goiás

14º 05’S

46º 23’W

780

1995

22374

000612

Goiás

13º 16’S

46º 25’W

660

1995

22375

000639

Goiás

13º 01’S

46º 36’W

620

1995

22376

000655

Goiás

14º 23’S

49º 09’W

550

1995

22377

000663

Goiás

13º 54’S

49º 03’W

510

1995

22378

000671

Goiás

13º 37’S

49º 02’W

390

1995

22379

000680

Goiás

13º 21’S

47º 07’W

380

1995

22380

000698

Goiás

13º 14’S

49º 28’W

340

1995

22381

000701

Goiás

13º 14’S

50º 40’W

360

1995

22382

000710

Goiás

13º 17’S

50º 12’W

330

1995

22383

000728

Goiás

13º 51’S

50º 20’W

300

1998

22384

000736

Mato Grosso

14º 14’S

52º 10’W

360

1995

22386

000752

Mato Grosso

14º 34’S

52º 21’W

320

1995

22387

000761

Mato Grosso

15º 50’S

52º 25’W

370

1995

22388

000787

Mato Grosso

16º 23’S

54º 01’W

330

1995

22389

000795

Mato Grosso

16º 26’S

54º 19’W

400

1995

22390

000809

Mato Grosso

16º 01’S

54º 55’W

300

1995

22391

000817

Mato Grosso

15º 49’S

55º 30’W

400

1995

22392

000825

Mato Grosso

15º 58’S

55º 00’W

240

1995

22393

000833

Mato Grosso

15º 42’S

56º 42’W

210

1995

22394

000868

Mato Grosso

15º 52’S

57º 49’W

200

1995

22395

000892

Goiás

16º 25’S

51º 35’W

460

1995

22396

000906

Goiás

16º 32’S

51º 03’W

510

1995

22397

‘Yapacaní’

Bolivia, Santa Cruz

17º 25’S

63º 56’W

350

1998

22399

000604

Goiás

14º 30’S

46º 24’W

650

1995

22400

000621

Goiás

13º 10’S

46º 40’W

660

1995

22401

000841

Mato Grosso

15º 51’S

56º 49’W

360

1995

22402

000876

Mato Grosso

16º 30’S

54º 36’W

270

1995

22403

000884

Mato Grosso

16º 34’S

51º 45’W

600

1995

22404

000191

Goiás

13º 01’S

56º 37’W

650

1993

22405

000213

Goiás

13º 15’S

46º 28’W

700

1993

22406

000221

Goiás

14º 15’S

46º 30’W

780

1993

22407

000514

Goiás

14º 54’S

46º 56’W

500

1995

22408

000540

Mato Grosso

14º 06’S

46º 25’W

810

1995

22409

000566

Goiás

13º 27’S

46º 22’W

540

1995

22410

000574

Goiás

13º 17’S

46º 25’W

660

1995

22411

000647

Goiás

15º 12’S

46º 47’W

550

1995

22412

000779

Mato Grosso

15º 42’S

52º 43’W

400

1995

 

At CIAT, the entire C. argentea collection is replicated every 7 to 10 years. Accordingly, the plant material used in this study has undergone one (accessions collected between 1993 and 1998) or two (accessions collected in 1984) multiplication cycles, respectively (A. Ciprián, CIAT GRU, personal communication 2006). Seedlings were raised in the greenhouse and transplanted to the field at the CIAT-Quilichao Experimental Station (Cauca department, Colombia; 03º 06' N, 76º 31' W; 990 m.a.s.l). Young leaves were harvested in the field just before reaching fully developed size. For the determination of genetic variability among accessions, bulked samples were taken from three individual plants per accession. For the assessment of within-accession genetic variability, leaves were harvested separately from ten individual plants of each of five accessions (CIAT 18516, CIAT 18668, CIAT 18674, CIAT 22408 and CIAT 22409). Samples were macerated in liquid nitrogen and total genomic DNA extracted from 50 mg tissue using a small-scale DNA extraction method (Qiagen DNeasy® Plant Mini Extraction Kit, Qiagen Inc., Valencia, CA, USA) with minor modifications: 600 instead of 400 μl Buffer AP1, 2 instead of 4 μl RNAse, and 150 instead of 130 μl Buffer AP2. DNA was quantified by means of a DyNA QuantTM 200 fluorometer (Hoefer Scientific Instruments, San Francisco, CA, USA) and diluted to a final concentration of 5 ng DNA/μl.

RAPD markers

The protocol for RAPD analysis was as described in Andersson et al. (2006b), with the volume of the final reaction (25 μl) being composed of 1X PCR buffer (50 mM KCl, 10 mM Tris-HCl pH 8.8, 0.1% Triton x-100), 2.5 mM MgCl2, 0.2 mM of each dNTPs, 0.2 μM primer (Series OPD, OPG, OPI and OPJ from Operon Technologies, Alameda, CA, USA), 1 U Taq DNA polymerase (Promega Corp., Madison, WI, USA) and 25 ng of template DNA. A negative control without template DNA was included in each round of reactions. Amplifications were performed in a thermocycler (PTC-100TM, MJ Research Inc., Watertown, MA, USA) with an initial denaturing step of 5 min at 94ºC followed by 40 cycles of 30 sec at 94ºC, 30 sec at 38ºC and 1 min at 72ºC and a final extension step of 5 min at 72ºC. The PCR products were run on a 1.4% agarose gel at 20 V/cm during 45 min. The amplified DNA fragments were visualised by ethidium bromide staining (0.5 μg/ml bromide in gel and buffer) under UV-light, and photographed with a Kodak digital camera DC 120 (Software Kodak Digital ScienceTM 1997).

Data analysis

Amplified DNA fragments were manually scored as present (1) or absent (0) for each primer, and variations in band presence were recorded as polymorphisms.

Data were converted into a similarity matrix using the Nei and Li similarity coefficient based on the proportion of shared fragments. The Nei and Li similarity coefficient (Nei and Li, 1979) calculates the genetic similarity (GS) between two samples, i and j, with the formula GS(i,j) = 2Nij / (2Nij + Ni + Nj), where Nij is the number of bands present in both i and j, Ni is the number of bands present in i and absent in j, and Nj is the number of bands present in j and absent in i.

Then, a similarity tree was produced by clustering the similarity matrix based on the Average Linkage UPGMA (unweighted pair group method with arithmetic averages) algorithm. The dendrogram was cut considering a cophenetic value of 0.97 (R2), which resulted in 7 groups and a level of 77% of genetic similarity. The calculation of genetic similarity and cluster analysis were performed using the NTSYS package version 2.1. In addition, multiple correspondence analysis (MCA) was performed on the original matrix to provide an additional representation of genetic similarity and to visualize the dispersion of individuals in relation to their molecular profile, based on the first three principal axes of variation. Means of genetic similarity and genetic diversity within and among groups were determined for both methods (cluster analysis and MCA) to analyse the coherence of the resulting classifications. MCA and means of genetic diversity were calculated using SAS version 8.2.

The efficiency of the RAPD primers to differentiate among accessions was evaluated by calculating the discriminatory power DL = 1 - ∑ pi2, with pi being the proportion of accessions carrying the ith banding pattern at the jth primer and calculating pi for each pattern generated by the primer (Tessier et al. 1999). DL is an extension of the polymorphism information content (PIC) and provides an estimate of the probability that two randomly chosen individuals show different banding patterns for the same primer, and thus are distinguishable from one another.

Results

RAPD profiles

Out of the 47 oligonucleotide decamer primers initially screened with three C. argentea accessions, 17 gave smeared or faint bands and seven gave no amplification products. Fifteen primers identified high levels of polymorphism and were repeated to test for reproducibility. Out of these, six primers detected distinct, clearly resolved and consistently reproducible amplification products and were, therefore, selected for the amplification of RAPD sequences. They generated a total of 72 scorable fragments across the 47 C. argentea accessions and the C. mollis reference accession (Table 2). On average 11 scorable fragments were obtained per primer, ranging from six (primer OPJ 12) to 16 (primers OPG 12 and OPI 07). The band size ranged from 320 to 2900 bp. A RAPD profile generated by primer OPD 15 is shown in Figure 2.

Table 2. Oligonucleotide primers employed in RAPD analysis of Cratylia argentea, their sequence, number of polymorphic (P) and monomorphic (M) bands obtained, percentage of polymorphic bands (% PB), and discriminatory power (DL).


Primer code

Sequence
(5’to 3’)

Number of bands

DL

(including C. mollis)

(only C. argentea)

P

M

P

M

 OPD 15

CATCCGTGCT

9

1

7

1

0.903

 OPG 12

CAGCTCACGA

16

1

11

1

0.942

 OPI 07

CAGCGACAAG

16

1

12

2

0.755

 OPJ 06

TCGTTCCGCA

13

0

13

0

0.898

 OPJ 07

CCTCTCGACA

8

0

8

0

0.862

 OPJ 12

GTCCCGTGGT

6

1

5

1

0.615

 Sum

 

68

4

56

5

 

 Total

 

72

61

 

 PB (%)

 

94.4

91.8

 

 

Out of the 72 fragments detected across all analysed accessions, 68 (94%) were polymorphic. Among C. argentea accessions, 61 fragments were detected, 56 (92%) being polymorphic. Eleven markers generated by primers OPD 15, OPG 12, OPI 07 and OPJ 12 were unique to C. mollis, and five markers (all generated by primer OPI 07) were unique to C. argentea accessions. Of these, three were unique to the only non-erect C. argentea accession CIAT 22397 ('Yapacaní'), and the other two were found in CIAT 22399 and CIAT 22403, respectively. In addition, three markers (generated by primers OPJ 06 and OPJ 12) were common to C. mollis and 'Yapacaní', but were absent in the other C. argentea accessions. Although the two accessions CIAT 18672 and CIAT 18957 were collected at the northern limit of the natural distribution range of the species and were geographically as distant from the rest of the collection as was the Bolivian accession 'Yapacaní' (Figure 1), no fragments unique to these accessions were detected.

The discriminatory power (DL) of the selected primers ranged from 0.615 to 0.942, with four primers having > 85% probability of discriminating between two accessions (Table 2). As reported by Tessier et al. (1999) our data showed that the discriminatory power of a primer does not solely depend on the number of bands and banding patterns it generates. For example, primer OPD 15, which generated nine polymorphic bands and 18 different banding patterns, had a discriminatory power of 90%, whereas primer OPI 07 with more polymorphic bands (16) and a similar number of banding patterns (16) had a much lower discriminatory power (75%).

Cluster and multiple correspondence analyses

The dendrogram based on Nei and Li genetic similarity, provides seven groups at the 77% level of genetic similarity (Figure 3). First, the C. mollis reference accession is separated, followed by the only non-erect accession 'Yapacaní' (CIAT 22397). Subsequently, two groups each containing only one accession are split: CIAT 18668 and CIAT 22389. Next, a 4-member group comprising accessions CIAT 18674, CIAT 22384, CIAT 22386 and CIAT 22401, and a single accession (CIAT 22408) are separated. The remaining 39 accessions (81%) fall into one main cluster (Figure 3).

MCA confirms the separation of the C. mollis reference and the non-erect C. argentea accession 'Yapacaní' from the remaining accessions (first and second dimension, accounting for 27% and 14% of the total variation, respectively). The multiple correspondence coordinates of each of the three groups (C. mollis, 'Yapacaní' and the remaining C. argentea accessions) form the extreme points of an almost equally-sided triangle, indicating that the non-erect C. argentea accession 'Yapacaní' is genetically almost as distant from all other C. argentea accessions as is C. mollis. The third dimension discriminates the remaining 46 C. argentea accessions into two main and three smaller groups (Figure 4). Accession CIAT 18668 is grouped together with CIAT 22389 and CIAT 22403 (group 5 in Figure 4), and CIAT 22386 with CIAT 22387 (group 4). Accession CIAT 18674 makes up a group of its own (group 3). The remaining 40 accessions (83%) fall into two main clusters, containing 28 and 12 accessions, respectively.

Geographic origin (i.e. distance) had only limited influence on the composition of the groups. In several instances, genetically similar accessions were detected from geographically very distant areas (e.g. CIAT 22373 and CIAT 22409), whereas geographically close accessions often appeared to be genetically very distant in both cluster analysis and MCA (e.g. CIAT 18675 and CIAT 22408). Here again, it was not possible to distinguish the two accessions CIAT 18672 and CIAT 18957, which were the most distant from the rest of the collection in terms of geographic distance (Figure 1). Both accessions clustered tightly together with other accessions distributed widely throughout Central Brazil, in cluster as well as in MCA.

Genetic diversity and genetic similarity among and within groups

Total genetic diversity in the sample studied here was low (HT = 0.169), with only 30% of differentiation among groups (GST = 0.302) (Table 3). The mean genetic similarity was high (GS = 0.776) and ranged from 0.388 to 0.814 among groups (Table 4) and from 0.316 to 0.947 among accessions (data not shown). When excluding the two most genetically distant accessions, 'Yapacaní' and C. mollis (groups 6 and 7, respectively), total diversity decreased to HT = 0.145, and the coefficient of gene differentiation was reduced by half to 15.2% (Table 3). Mean GS increased to 0.805, ranging from 0.720 to 0.814 among groups (Table 4) and from 0.604 to 0.947 among accessions (data not shown). The genetic similarity between groups (Table 4, above diagonal) was as high as or even higher than within groups (Table 4, diagonal).

Table 3. Nei estimates of genetic diversity (heterogeneity) among groups of Cratylia argentea.


Group

n

Hi(1-7)

Hi(1-5)

 1

28

0.128

0.128

 2

12

0.126

0.126

 3

1

0.0

0.0

 4

2

0.101

0.101

 5

3

0.120

0.120

 6 ('Yapacaní')

1

0.0

-

 7 (C. mollis)

1

0.0

-

 HS

 

0.118

0.123

 HT

  

0.169

0.145

 GST

  

0.302

0.152


Table 4. Average genetic similarity (GS) values between (above diagonal) and within (diagonal) groups of Cratylia argentea germplasm, the non-erect accession 'Yapacaní' and the C. mollis reference accession, based on all pairwise similarities between accessions according to molecular marker information (RAPDs).


Group

n

Cratylia argentea

'Yapacaní'

C. mollis

1

2

3

4

5

Total

 1

28

0.825

0.814

0.769

0.774

0.759

 

0.487

0.413

 2

12

 

0.839

0.720

0.764

0.721

 

0.515

0.404

 3

1

 

 

1.000

0.757

0.754

 

0.426

0.433

 4

2

  

  

 

0.717

0.748

 

0.479

0.400

 5

3

 

  

 

 

0.757

 

0.457

0.388

 C. argentea

46

 

 

 

 

 

0.805

 

 

 'Yapacaní'

1

 

 

 

 

 

 

1.000

0.444

 C. mollis

1

 

 

 

 

 

 

 

1.000

 Total

48

 

 

 

 

 

 

 

0.776

 

 

Genetic diversity and genetic similarity within accessions

To compare mean genetic diversity within and among C. argentea accessions, ten individual plants of each of five accessions were chosen. Total genetic diversity HT among these accessions was 0.180, while mean genetic diversity within accessions (HS) was 0.152, representing 84% of total genetic variation. Mean genetic similarity GS was 0.720, ranging from 0.730 to 0.800 within the five accessions studied (Table 5).

Table 5. Genetic similarity among (above diagonal) and within (diagonal) five Cratylia argentea accessions, based on all pairwise similarities between individuals according to molecular marker information (RAPDs).


CIAT No.

n

18516

18668

18674

22408

22409

Total

 18516

10

0.730

0.704

0.724

0.669

0.735

 

 18668

10

 

0.763

0.727

0.667

0.719

 

 18674

10

 

 

0.782

0.692

0.753

 

 22408

10

 

 

 

0.737

0.710

 

 22409

10

 

 

 

 

0.800

 

 Total

50

  

  

  

  

  

0.720

Possible duplicates in the collection

If considering accessions as genetically identical when their genetic similarity GS was equal to or greater than 0.95, then all accessions were uniquely identified, indicating that the collection does not contain genetic duplicates. However, a group of possible duplicate candidates was identified (CIAT 22373, CIAT 22378, CIAT 22380, CIAT 22381 and CIAT 22411) with pairwise genetic similarities very close to this value (GS > 0.94).

Discussion and Concluding Remarks

In this first study of genetic diversity in Cratylia with RAPD molecular technique, the level of DNA polymorphism detected with six decamer random primers was very high (> 90%) and allowed the distinction of all accessions analysed. The high discriminatory power of the primers used (83% on average) indicates that the RAPD technique provides an effective tool for germplasm analysis in Cratylia.

Genetic structure within the collection

Overall genetic diversity in the collection was low, with high genetic similarity among accessions. In other words, the frequencies/abundances of polymorphic RAPD fragments in the analysed collection were relatively low, and the distribution pattern of these few polymorphic fragments was very similar for the majority of the accessions, leading to high genetic similarity values. Cluster and multiple correspondence analyses showed the clear separation of C. mollis and the non-erect accession 'Yapacaní'. The grouping of the remaining 46 C. argentea accessions differed slightly when based on UPGMA clustering or MCA, indicating that there was no clear pattern within this bulk of accessions. The low genetic differentiation and high genetic similarity among groups show that the low genetic diversity is fairly homogeneously distributed in the collection, without any particular pattern. Also, geographic origin (i.e. distance) apparently did not affect the composition of these groups, since in several instances genetically similar accessions were detected from geographically very distant areas, whereas geographically close accessions often appeared to be genetically very distant in both cluster analysis and MCA. In addition, the genetic variability within accessions was high, with genetic similarities within accessions being only slightly greater than mean similarity among accessions. These findings suggest the existence of a single, widely shared genepool with limited genetic separation among accessions, and indicate the likelihood of extensive outcrossing. These results agree with studies of tropical tree population structures. Tropical tree species appear to have large genepools, with high diversity and little genetic structure, due to extensive outcrossing and geneflow occurring over distances of several kilometres (Schierenbeck et al. 1997).

Mating system

Among various factors that determine the genetic composition of plant populations, mating system is the most influential. High polymorphism levels of the magnitude observed in the present study for C. argentea (92%) are reported for outcrossing species, whereas predominantly selfing and/or clonal species generally show much higher proportions (45-80%) of monomorphic loci (Zhivotovsky, 1999). Similarly, the relatively low differentiation among groups and the high genetic diversity within groups, are characteristic for predominantly outcrossing species, whereas for inbreeding species this relationship tends to be inverted (Nybom, 2004).

Generally, tropical legumes have been considered as predominantly self-pollinated, but there is increasing evidence of cross-pollination in many species, suggesting that some outcrossing may occur in most legume species (Maass and Torres, 1998). Very little is known about the genetics of C. argentea and it is unclear whether C. argentea is allogamous or autogamous. While Queiroz et al. (1997) reported from Planaltina, Brazil, the occurrence of outcrossing and suggested a mixed mating system, Bystricky et al. (2006) found C. argentea to be self-incompatible under the conditions of CIAT-Quilichao. Our findings provide further evidence for this. Furthermore, field observations suggest that tripping is involved in fertilization (Andersson et al. 2006a). Pollinators such as the exotic honeybee Apis mellifera, and other bees and bumblebees belonging to the genera Bombus, Centris and Xylocopa (Hymenoptera: Apoidea) have been observed to visit C. argentea flowers loaded with pollen (Queiroz, 1996). Some of these pollinators have been reported to be capable of flight distances of several kilometers thus effecting pollen dispersal between plants at great distances, e.g. the honeybee A. mellifera (Ricketts, 2004) and the carpenter bee Xylocopa fimbriata Fabr. (Gonzalez and Engel, 2004). At CIAT, C. argentea accessions are multiplied in plots that are at least 300 m distant and hence, isolated from each other to a certain extent (A. Ciprián, CIAT GRU, personal communication 2006). The accessions studied here have not undergone more than two multiplication cycles since seed increase has started. It thus appears that cross-pollination may have occurred also among and within original populations in the wild.

However, we suggest precautions to be taken by genebanks during the regeneration of C. argentea accessions to avoid cross-pollination, and the re-consideration of multiplication protocols in order to maintain the genetic integrity of accessions. More detailed studies (e.g. with co-dominant molecular markers) are required to identify the prevailing reproductive strategy of C. argentea and to assess the rate and impact of outcrossing in this species.

Possible duplicates and taxonomic mismatches in the collection

Although genetically all accessions were significantly different (P < 0.05) from each other, a group of five possible duplicate accessions (CIAT 22373, CIAT 22378, CIAT 22380, CIAT 22381, CIAT 22411) was identified, which shared more than 94% of their banding pattern, differing in three bands only. Re-analysing these accessions with an additional primer or with additional marker types such as AFLP (amplified fragment length polymorphisms) would likely lead to a clearer molecular differentiation between pairs.

Ordination was particularly useful in visualising that the non-erect accession 'Yapacaní', the only germplasm from Bolivia, was genetically almost as distinct from all other C. argentea accessions as was C. mollis. This, together with its unusual growth habit (climbing vine), suggests that there may be a misclassification of the 'Yapacaní' accession - in spite of the fact that according to the botanical literature (Queiroz and Coradin, 1996), the only Cratylia speciesthat occurs in Bolivia is C. argentea. Botanical specimens from Bolivia and Peru should be re-examined for an eventual taxonomic revision of the genus Cratylia. Also, further germplasm from longitudes higher than 58º W (Figure 1) should be collected and its genetic diversity analyzed in support of taxonomic re-considerations.

With respect to accessions CIAT 18516 and CIAT 18668 which form the commercial cultivar, it was striking that CIAT 18668 was genetically very different from CIAT 18516 as well as from most other C. argentea accessions (Figure 3). In agronomic evaluations, however, these two accessions were not only very similar regarding morphological characteristics and forage quality (Andersson et al. 2006a), but also regarding consistently high DM production in different environments. The fact that in terms of RAPD variation these accessions appear to be very distinct might be an indicator of the neutral (i.e. non-functional) nature of the polymorphisms detected by this molecular technique. Furthermore, it is unknown to which extent the agronomic traits above are influenced by the environment. RAPD markers therefore are not an adequate tool for predicting or explaining agronomic characteristics. These contradictions probably could be solved either using morphological characters that are less sensitive to environmental variation, or performing more thorough examinations with more sophisticated techniques (e.g. ISSR-PCR).

Acknowledgments

We express our gratitude to two anonymous referees designated by CIAT for helpful comments on an earlier version of this draft. Thanks are also due to J. Tohme from the CIAT Biotechnology Unit for facilitating laboratory infrastructure. The study is part of a project financially supported by the German Academic Exchange Service (DAAD) and the Eiselen-Stiftung Ulm, Germany.

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