Directory UMM :Data Elmu:jurnal:B:Biochemical Systematics and Ecology:Vol29.Issue1.Jan2001:

Biochemical Systematics and Ecology 29 (2001) 21}30

Biochemical genetic markers to identify two
morphologically similar South African Mastomys
species (Rodentia: Muridae)
Andre Smit!, Herman van der Bank!,*, Thomas Falk",
Antonio de Castro#
!Department of Zoology, Rand Afrikaans University, PO Box 524, Auckland Park, 2006, South Africa
"Zoologisches Institut und Zoologisches Museum, Universita( t Hamburg,
Martin Luther King Pl.3 20146 Hamburg, Germany
#Department of Botany, Rand Afrikaans University, PO Box 524, Auckland Park, 2006, South Africa
Received 15 July 1999; received in revised form 25 October 1999; accepted 13 December 1999

Abstract
The two common southern African mice species (Mastomys coucha and M. natalensis) are
morphologically almost identical, making "eld identi"cation impossible at present. Specimens
from two localities were collected and tissue and blood samples taken. The habitat type of
each locality was studied, and a distribution map compiled. A de"nite correlation between
biome-type and species range was found to be present. Three isozyme markers were identi"ed:
glucose phosphate isomerase in liver, and two general (non-speci"c) protein coding loci in
muscle. In addition, we also identi"ed species characteristic haemoglobin components in both

species. This is the "rst study to report genetic variation within, and di!erentiation between
these species. Our results are of medical importance because Mastomys coucha carries bubonic
plague and M. natalensis carries Lassa Fever. ( 2000 Elsevier Science Ltd. All rights
reserved.
Keywords: Rodentia; Mastomys; Markers; Distribution; Haemoglobin; Genetic variation

1. Introduction
The Mastomys species complex of mice is widely distributed in South Africa,
especially the so-called Multimammate mice, Mastomys coucha and M. natalensis.
* Corresponding author. Tel.:#27-11-489-2911; fax: #27-11-489-2191.
E-mail address: fhvdb@na.rau.ac.za (H. van der Bank).
0305-1978/00/$ - see front matter ( 2000 Elsevier Science Ltd. All rights reserved.
PII: S 0 3 0 5 - 1 9 7 8 ( 0 0 ) 0 0 0 2 8 - 4

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A. Smit et al. / Biochemical Systematics and Ecology 29 (2001) 21}30

The limits of their distribution are only provisional at this stage (Skinner, 1990), but it
is known that they are sympatric in some areas, and allopatric in others. Mastomys

coucha acts as a reservoir for the Rickettsian Yersinia pestis, the organism causing
Plague (Dippenaar et al., 1993).
At present, three diagnostic forms of plague are known: bubonic, primary pneumonic and primary Septicaemic. Bubonic plague, which is the most common type
in epidemics, is fatal in about 25}50% of untreated cases. Pneumonic plague, a highly
contagious (airborne) form, and Septicaemic plague, a generalised blood infection,
are rarer forms, and usually fatal (Roberts et al., 1996). Apart from Bubonic
plague, this species complex is also a reservoir for the Banzi and Witwatersrand
viruses (Dippenaar et al., 1993) as well as a recently emerged disease in forested
West Africa. Lassa fever is an infection caused by an arenavirus, and has a high
mortality rate, even in patients with hospital care (15}20% fatal). Mastomys natalensis,
being a documented carrier of Lassa Fever also carries a Lassa-like virus called
Mopeia. Its e!ect on man is yet to be established or researched (Murray et al.,
1995).
Morphologically, both species are almost identical in all visible characteristics, and
were originally regarded as one (De Graaf, 1981) M. natalensis. However, Gordon
(1984) has shown that, at the very least, both species are distinguishable by ethological
and micro-morphological characteristics, by their chromosome number, and characteristic haemoglobin variations. More recently, Dippenaar et al. (1993) used multivariate analysis of cranial characteristics to distinguish between the two species.
However, 50% of the specimens collected at a sympatric locality were identi"ed
di!erently according to the latter method.
In the present study, we examined new material of two allopatric populations of M.

coucha and M. natalensis aimed at identifying species characteristic genetic markers.
Allozyme and haemoglobin variations were analysed comparatively.

2. Materials and methods
Tissue extracts of 24 individuals of M. coucha caught at Montgomery
Park, Johannesburg (26309'22''S, 27358'58''E) and 20 individuals of M. natalensis
caught at La Lucia ridge in Durban North (29344'44''S, 31303'09''E), were analysed
electrophoretically using standard horizontal starch gels and homogeneous
polyacrylamide gels (Fig. 1). The localities were also studied to determine if there
was a relationship between habitat types and the distribution of these two species
(Fig. 2). Specimens that were positively identi"ed by Gordon (1984), either
chromosomally or via characteristic haemoglobin variation were used as
reference.
Specimens were caught using standard steel snap-traps or live Sherman-type traps,
and samples of blood, liver, muscle, heart and kidney tissue were taken. These were
placed in vials, kept in ice and transported to the laboratory. Haemolysate samples
were prepared from native blood samples according to Falk et al. (1996). Samples
were stored at about !203C.

A. Smit et al. / Biochemical Systematics and Ecology 29 (2001) 21}30


23

Fig. 1. The distributions of Mastomys coucha and M. natalensis according to positively identi"ed specimens.
Biome types are denoted by number and the sampling sites of this study are indicated with @.

Allozyme studies were carried out using 12% starch gels, as well as 7% standard
polyacrylamide gels (Ferreira et al., 1984). Staining methods are as described by Shaw
and Prasad (1970) and Harris and Hopkinson (1976), and the method of interpretation of gel-banding patterns and locus nomenclature as referred to by Van der Bank
and Van der Bank (1995). A discontinuous lithium-borate}tris-citric acid bu!er (RW;
electrode: pH 8; gel: pH 8.7; Ridgeway et al., 1970) and two continuous bu!ers:
a tris-citric acid bu!er system (TC; pH 6.9; Whitt, 1970) and a tris-borate-EDTA bu!er
(MF; pH 8.6; Markert and Faulhauber, 1965) were used to study the variation at 34
protein coding loci. Locus abbreviations, enzyme commission numbers, bu!ers,
tissues and monomorphic loci are listed in Table 1.
Haemoglobin variations were analysed by isoelectric focusing (IEF) according
to Falk et al. (1998). IEF separations were conducted on Servalyte precotes (pH
range 3}10, Serva, Heidelberg, Germany). Gels were prefocused at 63C (200}500 V).
Subsequently, haemolysate samples (10 ll) were applied to an applicator strip
positioned 5.0 cm from the anode and the voltage was limited to 1700 V. Separations

were "nished when a constant current of maximal 2 mA/gel was reached (after
about 2.5 h). Prior to use, haemolysate samples were diluted in distilled water
("nal concentration: 20 mg Hb/ml) and treated with 2-mercaptoethanol (3%) for 1 h
at 53C.
IEF separated hemoglobins could be identi"ed by their red colour. In addition, gels
were incubated in 4-chloro-1-naphthol/H O (Serva, Merck) mainly to intensify
2 2

24

A. Smit et al. / Biochemical Systematics and Ecology 29 (2001) 21}30

Fig. 2. Isozyme di!erences between M. coucha and M. natalensis at (A) GPI (Liver) and (B) PT (muscle)
protein coding loci. The GPI-2 and PT-3 loci are absent in M. coucha, but the PT-2 locus is absent in M.
natalensis.
Table 1
Locus abbreviations, bu!er systems and enzyme commission numbers (E.C. No) are listed after each protein
Protein:

Locus:


E.C. No.:

Bu!er: Tissue:

Alcohol dehydrogenase
Creatine kinase
Esterase
Glyceraldehyde-3-phosphate dehydrogenase
General protein
Glucose-6-phosphate dehydrogenase
Glucose-6-phosphate isomerase
Isocitrate dehydrogenase
Lactate dehydrogenase
Malate dehydrogenase
Phosphoglucomutase
Phosphoglucomutase
Superoxide dismutase

ADH-1!-4!

CK-1!-3!
EST-1, -2!, -3!
GAP!
PT-1!, -2, -3, -4!, -5!
GPD-1! -4!
GPI-1, -2
IDH-1, -2, -3!
LDH-1!, -2, -3!
MDH!
PGML
PGM-1, -2, -3
SOD!

2.6.1.1
2.7.3.2
3.1.11.2.1.12

RW
RW
MF

RW
"
RW
RW
TC
RW
TC
RW
RW
RW

!Monomorphic loci.
"Polyacrylamide Gel Electrophoresis.

1.1.1.49
3.5.1.9
1.1.1.42
1.1.1.27
1.1.1.37
5.4.2.2

5.4.2.2
1.15.1.1

Muscle,
Muscle,
Muscle,
Muscle,
Muscle,
Muscle,
Liver
Muscle,
Muscle,
Muscle,
Liver
Muscle
Muscle,

Liver
Liver
Liver

Liver
Blood
Liver
Liver
Blood
Liver

Liver

A. Smit et al. / Biochemical Systematics and Ecology 29 (2001) 21}30

25

haemoglobin components by their pseudoperoxidase activity. The staining solution
consisted of 60 ml methanol and 340 ml PBS (pH 7.4) containing 120 mg 4-chloro-1naphthol and 1 ml 30% H O (Miribel and Arnoud, 1988). Gels were also counter2 2
stained with Coomassie Brilliant Blue G-250 (Serva). The following pI marker
proteins (Serva) were used: horse myoglobin: pI 6.90 and 7.40 and lectins of Lens
culinaris: pI 7.80, 8.00, and 8.30.

3. Results and discussion

3.1. Ecology and distribution
It was not previously possible to accurately describe the geographic distribution
and habitat requirements of either species, as a result of the extreme morphological
similarity of M. natalensis and M. coucha, and the fact that the genetic composition of
only a relatively small number of individuals has been studied. It does however seem
likely that di!erences in the habitat requirements of the two species do exist. Fig.
2 shows the localities of the M. coucha and M. natalensis populations positively
identi"ed by means of morphometric analyses conducted by Dippenaar et al. (1993),
the chromosomal and haemoglobin analyses by Gordon (1984), as well as one
population of each species identi"ed during the genetic study presented here, in
relation to the boundaries of the various biomes recognised within the southern
African Subregion by Rutherford and Westfall (1993). These localities represent only
a fraction of the known localities for Mastomys within South Africa and do not include
other southern African material.
The boundaries of the biomes as depicted in Fig. 2, were determined by Rutherford
and Westfall (1993) on the basis of dominant and co-dominant plant life forms in
climax systems, at a scale of 1 : 10, 000, 000. Biomes determined on the basis of
vegetation have been shown to correspond with zoogeographical patterns, though the
correlation seems to depend strongly on the animal group (Rutherford and Westfall,
1993). Some correspondence has been found for mammals. (Rautenbach, 1978), and
this is to be expected as vegetation not only determines the structural nature of the
habitat for animals (Odum, 1971), but also re#ects the prevailing climatic conditions,
such as rainfall and temperature, which also a!ect mammals both directly and
indirectly.
The localities included in Fig. 2 indicate that M. natalensis is clearly a species of the
Savanna biome, and more particularly of the moist warm regions of this biome. M.
coucha seems to be a species which occurs predominantly in the Grassland biome, but
also extends into cool, dry areas of the Savanna biome, and the moister parts of the
Nama-Karoo biome. The localities within the Nama-karoo biome probably represent
areas which were historically part of the Grassland biome, but have since been
invaded by vegetation of the Nama-Karoo biome, and can thus be termed &false'
Karoo (Rutherford and Westfall, 1993).
The distribution ranges of these two species are known to be sympatric in the
Mpumalanga Lowveld, and both species have been recorded from a single locality at

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A. Smit et al. / Biochemical Systematics and Ecology 29 (2001) 21}30

Hectorspruit in this region, which is situated in close proximity to the boundary
between the Grassland and the Savanna biomes. An analysis of distribution patterns,
based on a far larger number of localities would be required to establish whether there
are indeed major habitat di!erences between these two species.
3.2. Genetic variation
Twenty-three (67%) of the 34 protein coding loci studied were monomorphic (Table
1), and products of the following loci migrated cathodally: ADH-4, GAP, GPD-4,
GPI-1, -2 and LDH-3. Polymorphic loci together with allelic frequencies are listed in
Table 2, and F ("xation index) statistic summaries are given in Table 3.

Table 2
Allele frequencies, average heterozygosity per locus (H) and mean number of alleles per locus (A) with
standard errors in parentheses. Also listed is percentage of loci polymorphic (P) for the two populations
Locus

Allele

Mastomys
coucha

Mastomys
natalensis

EST-1

A
B
A
A
B
C
A
B
A
B
A
B
A
B
A
B
A
B
A
A

0.156
0.844
!

1

GPI-2
IDH-1

IDH-2
LDH-2

0.833
0.167
1
0.033
0.967

1
0.375
0.5
0.125
0.125
0.875

1
!
1

1
0.026
0.974
0.063
0.938
0.063
0.938
0.063
0.938
1
a

H

0.019
($0.012)

0.038
($0.020)

A

1.1
($0.00)

1.2
($0.10)

P

8.80%

17.60%

PGML
PGM-1
PGM-2
PGM-3
PT-2
PT-3

!Locus absent.

1
1
1

A. Smit et al. / Biochemical Systematics and Ecology 29 (2001) 21}30

27

Table 3
Summary of F-statistics at all polymorphic loci for both species
Locus

F
IS

F
IT

F
ST

EST-1
GPI-2
IDH-1
IDH-2
LDH-2
PGML
PGM-1
PGM-2
PGM-3
PT-2
PT-3
Mean

0.763
!
1.000
1.000
!0.034
!0.027
!0.067
!0.067
!0.067
!
!
0.694

0.936
1.000
1.000
1.000
!0.017
!0.013
!0.032
!0.032
!0.032
1.000
1.000
0.902

0.730
1.000
0.127
0.067
0.017
0.013
0.032
0.032
0.032
1.000
1.000
0.680

Fixed allele mobility di!erences between the two populations studied were obtained
at three loci: GPI-2 in liver, PT-2 and PT-3 in muscle tissue. The products of GPI-2 and
PT-3 were absent in M. coucha, whereas the products of PT-2 were absent in M.
natalensis (Fig. 2a,b). While it is possible that PT-2 and -3 are di!erent alleles of the
same locus, the large separation distance between the bands suggests that they
represent individual loci. A study of more individuals from di!erent populations may
reveal polymorphism, and is required to verify this conclusion. Products of these three
isozyme loci are useful to identify individuals from either of the populations studied.
Moreover, signi"cant allelic frequency di!erences (P(0.05) were identi"ed at EST-1.
Allelic frequencies for M. coucha deviated from Hardy}Weinberg equilibrium at EST-1
and IDH-1, while those for M. natalensis deviated at IDH-1 and -2. These are probably
due to small sample sizes.
F values (Wright, 1978) can be used to estimate the amount of genetic di!erentiation between species. A mean F value of 0.68 suggests a large amount of genetic
ST
di!erentiation between the two species studied, con"rming their present taxonomic
status and the results of Gordon (1984). Moreover, our estimate for mean F and
IS
F values also suggests a high degree of positive assortative mating and inbreeding,
IT
and further demonstrates very little or no gene #ow between both species in the wild.
Gordon (1984) also found no evidence of hybrids in nature, but he was able to mate
them in captivity. However, these hybrids were infertile when back-crossed. Nei's
unbiased genetic distance (1978) was calculated to be 0.123. This measurement
estimates the number of allelic substitutions per locus that have occurred since both
species have diverged. This estimate falls outside Ayala's (1982) estimate for genetic
distances between local populations of the same species of mammals (D"0.058), but
well inside of his estimate for subspecies (D: 0.232). It is also low when compared with
a D value of 0.46 between Peromyscus species (Rodentia: Cricetidae), but compares
better with values for Thomomys species (Rodentia: Geomyidae) of 0.08 (Avise et al.,

28

A. Smit et al. / Biochemical Systematics and Ecology 29 (2001) 21}30

Fig. 3. IEF separation of haemoglobin phenotypes of M. coucha (Mc) and M. natalensis (Mn) (pI"isoelectric point).

1982). Thus our calculation may appear low, but it does fall into the range of rodent
variation, and could most probably be attributed to an on-going process of speciation.
Unbiased heterozygosity values (Nei, 1978) were calculated to be 0.019 and 0.038 for
M. coucha and M. natalensis, respectively (Table 2). However, both of these values are
less than that calculated by Selander et al. (1971) for Peromyscus polionotus
(H"0.053), and Ayala (1982) for mammals (average"0.051).
In addition, we also determined the degree of haemoglobin variation in both
populations of M. coucha and M. natalensis. Characteristically, all samples investigated revealed heterogeneous haemoglobin patterns (Fig. 3). Two haemoglobin components of di!ering pI, ranging between pH 7.52 and 7.04, were detected by thin-layer
isoelectric focusing of individual samples. Characteristic variations in haemoglobin
phenotypes were found to occur in samples of the two species studied. Mastomys
coucha specimens were characterised each by a unique combination of two di!erent
haemoglobin components with pIs of 7.04 and 7.31, whereas M. natalensis specimens
displayed two haemoglobin components with pIs of 7.25 and 7.52. Haemoglobin
phenotypes appeared to be consistent within both species. Essentially, these "ndings
are in accordance with previous studies on the haemoglobin types of both species of
the genus Mastomys studied here (Gordon, 1984). However, based on starch gel
separations, only one distinct haemoglobin component could be identi"ed for each of
the species and de"nite species characteristic di!erences in haemoglobin pro"les
remained questionable. It should also be noted that isoelectric focusing of haemoglobins enables an identi"cation of both mice species without the use of reference
samples, only pI marker proteins are required.
In conclusion, this study provides evidence that the populations studied of these
two species of the genus Mastomys are more genetically distinct than previous
studies have shown. Gordon (1984) demonstrated the mobility di!erences between
M. natalensis and M. coucha, but was unable to resolve the bands at pI 7.25 and
7.31. With our results it can be seen that these species do not share any of the
two major haemoglobin components, and can now be identi"ed on the basis of
mobility alone, without the need of comparative analyses. An extension of the
current study that includes more populations of both species across the range is

A. Smit et al. / Biochemical Systematics and Ecology 29 (2001) 21}30

29

required to con"rm the presence of these markers between both species. These results
may be valuable for the routine identi"cation of these two medically important
species.

Acknowledgements
We thank Sasol far funding this project.

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