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- Original Article -
Association of USP26 haplotypes in men in Taiwan, China
with severe spermatogenic defect
I-Wen Lee1, Long-Ching
Kuan2, Chien-Hung Lin3, Hsien-An
Pan1, Chao-Chin Hsu4, Yung-Chieh
Tsai5, Pao-Lin Kuo1, Yen-Ni
Teng6
1Department of Obstetrics & Gynecology, National Cheng Kung University, College of Medicine, Tainan 701, Taiwan, China
2Department of Obstetrics and Gynecology, Kuo General Hospital, Tainan 700, Taiwan, China
3Institute of Basic Sciences, National Cheng Kung University, College of Medicine, Tainan 701, Taiwan, China
4Department of Obstetrics and Gynecology, China Medical University, Taichung 404, Taiwan, China
5Department of Obstetrics and Gynecology, Chi-Mei Medical Center, Tainan 710, Taiwan, China
6Department of Biotechnology, Chia Nan University of Pharmacy and Science, Tainan 717, Taiwan, China
Abstract
Aim: To complete comprehensive haplotype analysis of
USP26 for both fertile and infertile men. Methods: Two hundred infertile men with severe oligospermia or non-obstructive azoospermia were subjected to sequence analysis
for the entire coding sequences of the
USP26 gene. Two hundred men with proven fertility were genotyped by
primer extension methods. Allele/genotype frequencies, linkage disequilibrium (LD) characteristics
and haplotypes of fertile men were compared with infertile men.
Results: The allele frequencies of five single nucleotide
polymorphisms (370-371insACA, 494T>C, 576G>A, ss6202791C>T, 1737G>A) were significantly higher in infertile patients
than control subjects. The major haplotypes in infertile men were TACCGA (28% of the population), TGCCGA
(15%), TACCAA (8%), TGCCAA (6%), TATCAA (5%) and CATCAA (5%). The major haplotypes for the control
subjects were TACCGA (58% of the population), CACCGA (7%), CATCGA (6%) and TGCCGA (5%). Haplotypes
TGCCGA, TATCAA, CATCAA, CATCGC, TACCAA and TGCCAA were over-transmitted in patients with
spermatogenic defect, whereas haplotypes TACCGA, CACCGA, and CATCGA were under-transmitted in these patients.
Conclusion: Some USP26 alleles and haplotypes are associated with spermatogenic defect in the Han nationality in
Taiwan, China. (Asian J Androl 2008 Nov; 10: 896_904)
Keywords: single nucleotide polymorphism;
USP26 gene; spermatogenic defect; linkage disequilibrium
Correspondence to: Prof. Yen-Ni Teng, Department of
Biote-chnology, Chia Nan University of Pharmacy and Science, 60
Erh-Jen Road, Sec. 1, Pao-An, Jen-Te Hsiang, Tainan 717, Taiwan, China.
Tel: +886-6-266-4911 ext. 2549 Fax: +886-6-266-2135
E-mail: tengyenni1@yahoo.com.tw
Received 2008-02-20 Accepted 2008-07-03
DOI: 10.1111/j.1745-7262.2008.00439.x
1 Introduction
Infertility affects one in 10 couples worldwide. In
roughly half of these couples, the male factor is implicated. Although there are many factors that
contribute to male infertility, the cause cannot be identified
for the majority of infertile men [1]. In recent years, there
has been an intensive search for genetic causes of male
infertility. Screening with markers on the long arm of
the human Y chromosome has detected Yq microdeletions
in 5%_15% of males with spermatogenic defect. It is
believed that many genes located on the long (q) arm of
the Y chromosome are required for spermatogenesis. This
region, banding in q11.23 of the Y chromosome, includes
the azoospermia factor (AZF) locus, which contains a gene
or genes that are required for normal spermatogenesis [2,
3]. Other genetic factors that have been reported to be
involved in spermatogenic defect include mutations at
the mitochondrial DNA polymerase locus, a polymorphism of the cytochrome P4501A1 gene, mutations of
the follicle-stimulating hormone receptor gene
(FSH), the deleted in azoospermia-like gene
(DAZL), the synaptonemal complex protein 3 gene
(SYCP3), human BOULE, casein kinase 2 alpha genes, dystrophia myotonica
protein kinase gene (DMPK), DNA polymerase gamma
(POLG), methylenetetrahydrofolate reductase
(MTHFR) and follicle-stimulating hormone receptor
(FSHR) [4_16].
USP26 appears to be an attractive candidate for a
sterile gene considering its unique expression
pattern. USP26 comprises a single exon and is located on Xq26.
2. Its messenger RNA (mRNA) sequence is 2 794 bp long
and its protein consists of 913 amino acids (Genbank:
NM_031907.1). Its mouse homolog was found to be only expressed in spermatogonia
[17]. USP26 belongs to a large family of deubiquitinating enzymes (DUB) [18].
Deubiquitination of macromolecules by DUB, including
ubiquitin proteases, can rescue macromolecules from
degradation through substrate-specific,
N-terminal-dependent, enzymatic reaction [19, 20]. Previous
studies have addressed the importance of the ubiquitin
pathway during mammalian fertilization, including acrosomal
function and spermatozoa_zona pellucida (ZP)
penetration [21,22]. During spermatogenesis,
deubiquitination enzymes have been shown to be involved in the
regulation of protein turnover (e.g., replacement of histones
by protamine, germ cell apoptosis, mitotic proliferation
and differentiation of spermatogonial stem cells)
[23_28]. Several papers have been published on the role of
USP26 in male infertility. Stouffs et al.
[29] analyzed patients with various histological patterns of
spermatogenic defect (Sertoli cell-only syndrome and maturation
arrest) for the presence of mutations in USP26.
They found some Sertoli cell-only syndrome (SCOS) patients
had the genotype of 370-371insACA (rs3840975),
494T>C and 1423C>T (rs41299088) [29]. A study by Paduch
also provided evidence linking USP26 mutation to male
infertility [30]. Although these two studies suggested that
a specific genetic cluster (370-371insACA, 494T>C and
1423C>T) might be associated with testicular dysfunction, two other studies showed that this genetic
cluster was not restricted to men with testicular
dysfunction [31, 32]. In a recent publication on
USP26, the authors identified several novel mutations in the
USP26 gene that might cause spermatogenesis impairment in a
small group of infertile men (n = 41) [33]. However,
meta-analysis of previous case-control studies (in total,
544 patients and 1 705 controls) revealed no significant
association of the 370-371insACA, 494T>C and
1423C>T genotype with male infertility [14, 29_32]. Further studies
based on a large group of patients with diversified ethnic
backgrounds will be valuable to bring more insight into
the role of USP26 in male infertility.
In the present study, we set out to analyze genetic
variants and haplotypes of USP26 for both fertile and
infertile men by sequence analysis for the entire coding
region of USP26. We found some
USP26 genetic variants and haplotypes were overt-transmitted and some were
under-transmitted in patients with severe spermatogenic
defect in the Han nationality in Taiwan, China. We also
identified some novel genetic variants or mutations in
patients. Our result supports important roles of
USP26 in human spermatogenesis.
2 Materials and methods
2.1 Subjects
The study was approved by the Institutional Review
Board of National Cheng Kung University Medical Centre
(Taiwan, China). From January 2001 to December 2005,
200 infertile men presenting with severe oligozoospermia
(spermatozoa count < 5 ×
106/mL) or non-obstructive azoospermia and 200 men with proven fertility (control
group) were enrolled. All of the control subjects had
fathered at least two children within 5 years without
assisted reproductive technologies. The paternal
relationship between control subjects and their offspring was
confirmed using the AmpF/STR-Profiler-Plus zygosity
determination system (Applied Biosystems, Foster City,
CA, USA). All patients and control subjects belonged to
the Han nationality in Taiwan, the major ethnic group in
China (making up more than 95% of this province's population). The patients were evaluated according to the
protocol described in our previous studies [6, 34]. In
brief, all patients underwent comprehensive
character-ization, including a detailed history, physical examination,
at least two semen analyses, hormone assays (luinizing
hormone [LH], fouicle stimulating hormone [FSH],
prolactin [PRL] and testosterone [T]), karyotyping and a
molecular test for Y-chromosomal deletions. Patients
suspected to have non-obstructive azoospermia were advised
to undergo bilateral testicular biopsies. Serum levels of
FSH, LH, PRL and T were measured using commercial radioimmunoassay kits: Coat-A-Count FSH IRMA,
Coat-A-Count LH IRMA, Coat-A-Count PRL IRMA and IMMULITE Total Testosterone (Diagnostic Products, Los
Angeles, CA, USA). Chromosome analysis was performed
using the GTG method (G-banding by Trypsin-Giemsa technique). Molecular analysis of Y-chromosomal
deletions included a combination of 16 gene-based primers, as
described previously [34]. Patients with any identifiable
cause of male infertility, including congenital bilateral
absence of vas deference (CBAVD), cryotorchidism, varicocele, diabetes mellitus or hypertension, or with
history that may affect spermatogenesis (e.g., orchitis, trauma,
malignancies, etc.) were excluded from the study group.
No significant difference was found between age, serum
LH, estradiol and T concentrations of infertile men and
control subjects. Sperm count and FSH concentrations
were significantly higher in patients compared with the
control group (P < 0.005). Of 200 study subjects, 137
had severe oligospermia and 63 had azoospermia.
2.2 Sequence analysis of patients
Genomic DNA samples of patients were subjected to sequence analysis for the entire coding sequences of
the USP26 gene. Genomic DNA was extracted from
peripheral blood samples using a Puregene DNA isolation
kit (Gentra, Minneapolis, MN, USA). USP26 genomic
sequence (AF285593) was obtained from the NCBI web site
(http://www.ncbi.nlm.nih.gov). The entire gene (2
794 bp) was divided into five overlapping fragments ranging from
409 to 600 bp in length. To amplify partial fragments of
the USP26 exon, polymerase chain reaction (PCR)
reactions were performed in 20 μL volumes containing 200 ng
of genomic DNA, 10 mmol/L Tris-HCl (pH 8.3),
50 mmol/L KCl, 0.1% Triton X-100,
200 μmol/L deoxyribonucleotide triphosphates (dNTP), 100 pmol of each
primer and 1 U Taq DNA polymerase (Promega Corp.,
Madison, WI, USA). The primer sets for USP26
are described in (Table 1). PCR amplification was
performed in an automated thermal cycler (OmniGene
Thermal Cycler; Hybaid Ltd., Ashford Middlesex, UK).
PCR products were sequenced to identify mutations or
polymorphisms. Sequence analysis was performed with
an automatic sequencer (ABI 377, Applied
Biosystems/PE).
2.3 Genotyping for fertile controls
Genomic DNA samples of the control subjects were
subjected to genotyping by primer extension methods.
The amplicons were amplified in a multiplex fashion and
each 20 µL reaction consisted of 50 ng of genomic DNA,
10 pmol of primers, 4.0 mmol/L
MgCl2, 0.2 mmol/L dNTP and 0.5 U of AmpliTaq Gold DNA polymerase
(Applied Biosystems). The cycling conditions were: 95ºC
for 5 min, followed by 35 cycles at 95ºC for 1 min, 55ºC
for 1 min and 72ºC for 1 min, with a final extension for
10 min at 72ºC. Each allele was measured by primer
extension and SNaPshot chemistry (Applied Biosystems).
Multiplex PCR products (3 µL) were treated with 2.5 U
of shrimp alkaline phosphatase (SAP; Amersham Pharmacia
Biotech, Uppsala, Sweden) and 2 U of exonuclease I (BM Biochemica, Mannheim, Germany) in a
10 mL reaction volume for 1 h at 37ºC. SNaPshot
multiplex PCR was performed in a 10 μL reaction volume
containing 1.25 μL of SNaPshot Multiplex Ready
Reaction Mix (Applied Biosystems), 4 μL of SAP/ exonuclease
I-treated PCR products, and 1 to 3 pmol of each
SNaPshot primer. Thermal cycling for SNaPshot reactions consisted of 25 cycles at 96ºC for 10 s, 50ºC for
5 s and 60ºC for 30 s. The SNaPshot multiplex reaction
was then treated by SAP in an 11 μL reaction volume
containing 10 μL of SNaPshot multiplex PCR product
and 1 U of SAP. The samples were analyzed using an
ABI 3100 genetic analyzer (Applied Biosystems) and the
allele determination was carried out with the Genotyper
3.7 program (Applied Biosystems).
2.4 Statistical analysis
Tests for association with single markers and haplotypes in control samples were performed using
the χ2 test. P < 0.05 was considered statistically significant.
The relative risk of spermatogenic defect was estimated
from logistic odds ratios (OR) and 95% confidence
intervals (CI) in multivariate analysis. Tests for haplotype
association with spermatogenic defect were performed
using EHPLUS software [35], and statistical significance
was estimated using the permutation test PMPLUS [36].
Associations between haplotypes and male infertility were
analyzed using linear regression models. The linkage
disequilibrium (LD) coefficient (D') between each pair of
single nucleotide polymorphisms (SNPs) was calculated
using the ldmax program within the GOLD software package [37].
3 Results
3.1 Polymorphisms in men in Taiwan, China
The coding sequences of the USP26 gene were
examined by sequencing analysis for the presence of
mutations of sequence variants in infertile men. The sequence
from GenBank (AF285593) was used as the reference sequence and the A of ATG of the start codon was
numbered + 1. In total, seven genetic variants were observed,
including one insertion variant 370-371insACA (rs3840975), causing a threonine insertion in amino acid
position 121, and six SNPs, 494T>C, 576G>A (rs41304540), ss6202791C>T, 1423C>T (rs41299088),
1737G>A and 2202A>C. All of these genetic variants
were available in the web site
(http://www.ncbi.nlm.nih.gov/) and peer-review articles [29_32]. One substitution,
576G>A (E192), does not alter the amino acid sequence:
a glutamic acid at position 192. The other five SNP were
predicted to create amino acid alteration: 494T>C changes
a leucine into a serine (L165S); ss6202791C>T changes
a serine into a phenylalanine (S600F); 1423C>T
substitutes a histidine for a tyrosine (H475Y); 1737G>A
substitutes a methionine for a isoleucine (M579I); and
2202A>C substitutes a lysine for a asparagine (K734N).
The following substitutions occurred only once in the
patients group but not in the fertile controls group:
393A>T (S131S); 468T>G (Q156H); 1976C>T (T659M); 2144A>T (N715I); 2182A>T (I128F);
2195T>C (F732S); 2204T>G (V735G); 2239A>T (I747F);
2247A>C (E749D); 2250A>G (Q750Q); and 2271T>C
(P757P). Except for 1976C>T (T659M), these
substitutions have not been reported [30]. The substitution of
520T>G and 565T>G is predicted to cause premature
stop codon at codon 175 and 189, respectively.
Haplotype analyses ruled out that patients carrying these
variant sites occurred only once in the infertility group.
3.2 Allelic and genotypic frequencies in fertile and
infertile men
Allelic frequencies and odds ratios for each sequence
variant of USP26 are shown in Table 2. Of the seven
variants, 370-371insACA, 494T>C, 576G>A, ss6202791C>T and 1737G>A are significantly
associated with spermatogenic defect. The
P-value for these five variants was less than 0.05 and the odds ratios were
larger than 1. For example, the P-values for
370-371insACA and 576G>A are less than 0.0001 and the
OR are 35.86 and 4.095 (Table 2).
3.3 Reproductive effect of the 70-371insACA, 494T>C,
1423C>T genetic cluster and its derivation
The ancestral USP26 cluster [370-371insACA,
494T>C, 1423C>T] and its first derivation only occur
in the group of infertile men. In contrast, the second
derivation only occurs in the group of fertile men (Table
3). The frequency of the [370-371insACA, 494T>C,
1423C>T] cluster is 3% in the infertile group but none
in fertile men.
3.4 Linkage disequilibrium (LD) between different SNPs
(Table 4) shows the pairwise LD (D') between
different alleles. For patients with spermatogenic defect,
2202A>C was found to be in complete LD with
370-371insACA, 494T>C, 576G>A and 1423C>T (D' = 1).
494T>C had strong LD with 370-371insACA and 1423C>T (D' = 0.829 and 0. 804 respectively). For
control subjects, 370-371insACA was found to be in weak LD
with the other six variants (D' = 0). Except 2202A>C,
no strong linkage disequilibrium (D' > 0.8) was observed
for these seven variants in the control group. Therefore,
the LD characteristic of infertile men was different from
that of control subjects.
3.5 Haplotype analysis
The major haplotypes (defined as haplotype frequency
in either group ¡Ý 5%) were TACCGA (28% of the
population), TGCCGA (15%), TACCAA (8%), TGCCAA (6%), TATCAA (5%) and CATCAA (5%) for patients.
The capital letters represented 494T>C, 576G>A,
ss6202791C>T, 1423C>T, 1737G>A and 2202A>C from
left to right, respectively. The major haplotypes for the
control subjects were TACCGA (58% of the population),
CACCGA (7%), CATCGA (6%) and TGCCGA (5%). Six of the nine major haplotypes showed significant
differences in frequency between infertile men and control
subjects (Table 5). Haplotypes TGCCGA, TATCAA, CATCAA, CATCGC, TACCAA and TGCCAA were
over-transmitted in patients with severe spermatogenic defect,
whereas haplotype TACCGA, CACCGA and CATCGA were under-transmitted in these patients. Of 134
patients with major haplotypes, only nine azoospermic men
had testicular histology available. We found their
testicular histological features were highly variable, ranging from
hypospermatogenesis, MA (maturation arrest at apermatocyte or spermatid) to SCOS (Table 6).
4 Discussion
In the present study, we found allele frequencies of
five SNPs (370-371insACA, 494T>C, 576G>A, ss6202791C>T and 1737G>A) were significantly higher
in infertile patients than those in control subjects (Table
2). As compared with previous studies, our data
represents comprehensive coverage of USP26 genotypes by
sequence analysis for the entire coding region. By
sequence analysis for the entire coding region, we also
discovered some novel variants (e.g., 393A>T, 468T>G,
520T>G, 565T>G, 2144A>T, 2182A>T, 2195T>C,
2204T>G, 2239A>T, 2247A>C, 2250A>G and 2271T>C).
These substitutions occurred only once in the patients
group but not in the fertile men. Genotyping for more
subjects will be required to determine if these
substitutions are rare SNP or true mutation.
Although our study is in accordance with two
previous studies that described association of genetic
cluster (370-371insACA, 494T>C, 1423C>T) with male
infertility [29, 30, 32], the role of 370-371insACA,
494T>C and 1423C>T genotypes remains uncertain.
Meta-analysis of four studies (a total of 544 patients
and 1705 controls) revealed no significant association
of the 370-371insACA, 494T>C and 1423C>T
genotypes with male infertility (14, 29_32). After
incorporating our data (a total of five studies with 744
patients and 1905 controls), meta-analysis still revealed
negative association (OR: 0.778; 95% CI:
0.484_1.252). We speculate that the uncertainly could be accounted
for by genetic backgrounds of the enrollees in
different studies. The frequencies of the 370-371insACA,
494T>C and 1423C>T genotypes seem highly varied
demographically even in the Chinese population. We
could hardly detect the 370-371insACA, 494T>C and
1423C>T genotypes in fertile men of the Han
nationality in Taiwan, China (Table 3). The frequency of
ancestral cluster in our study is 4% in infertile men and 0% in
fertile controls. The overall frequency in fertile men is
2% for the Han nationality in Taiwan, China, much lower
than that reported in the Chinese Han (8%) [31]. The
genes involved in reproduction have been shown to be
under strong positive selection [38]. The Han
immigrated from Mainland China to Taiwan Provice
relatively recently _ within the past several hundred years
[39]. The low prevalence of 370-371insACA, 494T>C
and 1423C>T genotypes in the Han nationality in Taiwan,
China could be interpreted as a result of migration
followed by genetic drift.
Recently, LD has been used to track down candidate
genes in association studies, in which the disease variants
are detected through the presence of linkage signal at
nearby sites [40]. Patterns of LD are also important for
unraveling the evolutionary history of humans, including
identification of demographic effect and the detection of
natural selection [41]. We found different LD
characteristics of USP26 for fertile and infertile men. This
finding may imply distinct genetic backgrounds for fertile
and infertile men. In infertile men, 2202A>C was found
to be in complete LD with 370-371insACA, 494T>C,
576G>A and 1423C>T (D' = 1). The 494T>C allele had
strong LD with 370-371insACA and 1423C>T (D' =
0.829 and 0.804, respectively) (Table 4). The major haplotypes
for patients with spermatogenic defect were TACCGA
(28% of the population), TGCCGA (15%), TACCAA (8%), TGCCAA (6%), TATCAA (5%) and CATCAA
(5%). These six haplotypes accounted for 67% of the
patient population. The major haplotypes for control
subjects were TACCGA (58% of the population), CACCGA (7%), CATCGA (6%) and TGCCGA (5%),
which altogether constitute 76% of the control population.
It appeared that haplotypes TGCCGA, TATCAA, CATCAA, CATCGC, TACCAA and TGCCAA conferred
susceptibility to spermatogenic defect, whereas
haplotype TACCGA, CACCGA and CATCGA were protective
against spermatogenic defect (Table 5). It is
noteworthy that, of the nine deleterious haplotypes, five belonged
to minor haplotype (< 5%) of the fertile men, reflecting
negative selection in the population. It is interesting to
note occurrence of various testicular phenotypes in men
with deleterious USP26 haplotypes. This observation is
in accordance with a complex disease model for
spermatogenic defect [42]. Male infertility represents a
classical example of a complex disease with substantial
genetic contribution. USP26 genotype is among one of the
many factors that may contribute to spermatogenic
defect in humans.
Taken together, we showed association of specific
genetic variants with severe spermatogenic defect in
the Taiwanese Han. We identified haplotypes of
USP26 and found association of specific haplotypes with
impaired sperm production for the first time. Our result
seems to support important roles of USP26 in human
spermatogenesis. Considering contradictory data about
the clinical implication of specific USP26 genotypes,
USP26 may be just among one of the many factors
contributing to spermatogenic defect. Other factors
that are involved in diverse regulatory pathways of
human spermatogenesis may jointly modify the effect of
USP26.
Acknowledgment
The expenses for the publication of this paper were
supported by grants from the National Science Council
of Taiwan, China (No. NSC- 91-2314-B-006-149, NSC 91-3112-B-006-008, NSC 92-3112-B-006-002, NSC
93-3112-B-006-004, NSC 93-2314-B-006-078, NSC94-2320-B-041-002 and NSC95-2320-B-041-006).
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