Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2015 Jul 21;10(7):e0133667. doi: 10.1371/journal.pone.0133667

Genome-Wide Survey and Analysis of Microsatellite Sequences in Bovid Species

Wen-Hua Qi 1,*, Xue-Mei Jiang 2, Lian-Ming Du 3, Guo-Sheng Xiao 1, Ting-Zhang Hu 1, Bi-Song Yue 3, Qiu-Mei Quan 4
Editor: Ulrike Gertrud Munderloh5
PMCID: PMC4510479  PMID: 26196922

Abstract

Microsatellites or simple sequence repeats (SSRs) have become the most popular source of genetic markers, which are ubiquitously distributed in many eukaryotic and prokaryotic genomes. This is the first study examining and comparing SSRs in completely sequenced genomes of the Bovidae. We analyzed and compared the number of SSRs, relative abundance, relative density, guanine-cytosine (GC) content and proportion of SSRs in six taxonomically different bovid species: Bos taurus, Bubalus bubalis, Bos mutus, Ovis aries, Capra hircus, and Pantholops hodgsonii. Our analysis revealed that, based on our search criteria, the total number of perfect SSRs found ranged from 663,079 to 806,907 and covered from 0.44% to 0.48% of the bovid genomes. Relative abundance and density of SSRs in these Bovinae genomes were non-significantly correlated with genome size (Pearson, r < 0.420, p > 0.05). Perfect mononucleotide SSRs were the most abundant, followed by the pattern: perfect di- > tri- > penta- > tetra- > hexanucleotide SSRs. Generally, the number of SSRs, relative abundance, and relative density of SSRs decreased as the motif repeat length increased in each species of Bovidae. The most GC-content was in trinucleotide SSRs and the least was in the mononucleotide SSRs in the six bovid genomes. The GC-contents of tri- and pentanucleotide SSRs showed a great deal of similarity among different chromosomes of B. taurus, O. aries, and C. hircus. SSR number of all chromosomes in the B. taurus, O.aries, and C. hircus is closely positively correlated with chromosome sequence size (Pearson, r > 0.980, p < 0.01) and significantly negatively correlated with GC-content (Pearson, r < -0.638, p < 0.01). Relative abundance and density of SSRs in all chromosomes of the three species were significantly negatively correlated with GC-content (Pearson, r < -0.333, P < 0.05) but not significantly correlated with chromosome sequence size (Pearson, r < -0.185, P > 0.05). Relative abundances of the same nucleotide SSR type showed great similarity among different chromosomes of B. taurus, O. aries, and C. hircus.

Introduction

Microsatellites, also known as simple sequence repeats (SSRs), are tandem repetitions of 1–6 base pair (bp) nucleotide motifs of DNA sequences [1]. SSRs have been developed into one of the most popular sources of genetic markers owing to their high reproducibility, multi-allelic nature, co-dominant mode of inheritance, abundance, and wide genome coverage [2], which have been widely employed in population genetics, phylogenetics, genetic mapping, linkage, and kinship relationships [3]. Although SSRs are ubiquitously distributed throughout eukaryotic and prokaryotic genomes [4, 5], and are even in the small virus genomes [6], the density and distribution of SSRs vary markedly across whole genomes [7]. SSR loci have a high mutation rate (10−4 to 10−3) [8] which resulted in high heterozygosity and the presence of multiple alleles [9]. SSRs have been found in both coding and non-coding regions [10], which are supposed to serve a functional role affecting gene regulation, transcription, protein function, and genome organization [1113].

However, the conventional methods of generating SSR markers from genomic libraries are challenging, costly, labor consuming and time consuming [14], which are being replaced rapidly by in silico mining of SSR sequences from DNA-sequence databases [1516]. More recently, the availability of enormous genome sequences for a wide range of organisms, together with new methodological developments of in silico mining of SSRs, has accelerated research aimed at understanding the origin and functions of SSRs and at searching for new applications, and will certainly promote the study of genomic distribution of SSRs in the eukaryotic and prokaryotic genomes. The possibility of cross-amplification of SSR markers in closely related species has increased their usefulness extremely. Therefore, scientific and reasonable microsatellite mining not only helps in addressing biological questions but also facilitates better exploitation of microsatellites for various applications.

The recent completion of genome sequencing projects has provided new opportunities to evaluate and compare the distribution of SSRs at the genomic level. There are now six bovid species with complete sequencing: Bos taurus, Bos mutus, Bubalus bubalis, Ovis aries, Capra hircus, and Pantholops hodgsonii. The complete genomes of these six species will facilitate the study of the mechanism of their secondary metabolism and provide an opportunity to scan the entire genome for SSR discovery. No genome-wide survey of SSRs is available for the Bovidae, hence we report here the first survey and comparative analysis of SSRs, and reveal consistent patterns of the distribution, abundance, density, and diversity of different SSRs in the genomes of six species of the Bovidae. We compared the relative abundance and density of mono- to hexanucleotide SSRs among the six bovid genomes. The distributions of perfect mono- to hexanucleotide SSRs on all chromosomes were also compared in three of the species: B. taurus, O. aries, and C. hircus. Though guanine-cytosine (GC) content has been reported to have a certain influence on the occurrence and polymorphic nature of SSRs [7,17], which is seldom systematically studied. So the GC-content of SSRs was systematically analyzed in these bovid genomes. Lastly, primers were designed for the identified SSR loci in order to provide the material basis for the future development of a wide range of SSR markers in the bovidaes. Our study will serve to establish the SSR distribution patterns among closely/less closely related species and contribute to their future use as molecular markers.

Materials and Methods

2.1 Genome sequences

At the time of this study, only six species of the Bovidae were known to have complete genome sequences according to the genomic resources of the NCBI (National Center of Biotechnology Information). So we selected these six genome sequences as samples to analyze the SSR distributions in the genomic level. All the genome sequences were downloaded in FASTA format from the GenBank (http://www.ncbi.nlm.nih.gov). The species, genome size, the GC-content, etc., have been summarized in Table 1. The genome size ranged from ~2587.51 Mb (O. aries) to 2983.31 Mb (B. taurus).

Table 1. Overview of the six bovid genomes.

Parameters B. taurus B. mutus Bu. bubalis O. aries C. hircus P. hodgsonii
Genome size (Mb) 2983.31 2645.15 2836.15 2587.51 2635.87 2696.89
GC-content (in %) 41.81 41.71 42.11 41.79 41.75 42.01
# of SSRs 806,907 716,360 774,309 682,891 677,017 663,079
Relative abundance (#/Mb) 270.48 270.83 273.01 263.92 256.85 245.87
Total length of SSRs (bp) 14,270,305 12,423,719 13,556,032 12,412,553 12,134,448 11,937,706
Relative density (bp/Mb) 4783.37 4696.80 4779.73 4797.11 4603.62 4426.48
Genome SSRs content (%) 0.48 0.46 0.48 0.48 0.46 0.44

2.2 SSRs identification and investigation

SSRs were identified and localized using the software MSDB (Microsatellite Search and Building Database) downloaded at https://code.google.com/p/msdb/ [18], which is a Perl program providing a user-friendly interface for identification and building databases of SSRs from complete genome sequences. SSRs can be grouped into six categories: (1) pure or perfect (P) SSRs, (2) interrupted perfect (IP) SSRs, (3) compound (CD) SSRs, (4) interrupted compound (ICD) SSRs, (5) complex (CX) SSRs, and (6) interrupted complex (ICX) SSRs [1920]. MSDB has two search modes: A ‘perfect search mode’ is used to search perfect SSRs or pure SSRs and an ‘imperfect search mode’ is used to search the six categories of SSRs mentioned above [18]. In order to search a sequence for perfect SSRs, the definition of the minimum repeat number is an important criterion. Since bovid species have very large genomes, relatively systemic search criteria were adopted in this study: The parameters for minimum repeat numbers were set as 12, 7, 5, 4, 4, 4 for mono-, di-, tri-, tetra-, penta-, and hexanucleotide SSRs, respectively [18]. The maximum distance allowed between any two SSRs (dMAX) was 10 bp; other parameters were set as default. In this study, repeats with unit patterns being circular permutations and/or reverse complements of each other were grouped together as one type for statistical analysis [2122]. For example, ACT denotes ACT, CTA, TAC, TGA, GAT and ATG in different reading frames or on the complementary strand. For tetranucleotide and hexanucleotide repeats, combinations representing perfect di- and trinucleotide repeats were filtered from the final counts, for example, a (ACAC)9 was considered as a (AC)18 dinucleotide and not as a tetranucleotide repeat. The combinations of SSRs for this study will help to give a better understanding of the total occurrence of SSRs, and their genomic locations will be very useful in selecting SSRs representative of similar repeat classes from different genomic locations as potential markers.

To facilitate the comparison among different repeat categories or motifs, we used relative abundance, which means the number of SSRs per Mb of the sequence analyzed, and relative density, which means the length (in bp) of SSRs per Mb of the sequence analyzed [18, 23]. These total numbers have been normalized either as relative abundance or relative density to allow comparison among genome sequences of different sizes. The relative abundance and density on each chromosome was calculated by dividing the total chromosome length by each nucleotide SSR. Primer pairs for the identified SSR loci were designed using the Primer 3 software implemented in the MSDB using default parameters.

2.3 Statistical analysis

All data analyses were performed using SPSS version 18.0 and followed standard procedures. The Pearson test was used to reveal the correlation between two variables, including relative abundance, relative density, genome size, GC-content, and chromosome sequence size. Student’s t-test was used to compare means of two groups.

Results

3.1 The number, relative abundance and density of SSRs in bovid genomes

The six categories of SSRs were found in each of these bovid genomic sequences by using computer software MSDB for a genome-wide scan (Table 2). P-SSRs was the most abundant type in these bovid species, followed by the pattern: CD-SSRs > ICD-SSRs > IP-SSRs > ICX-SSRs > CX-SSRs (Table 2). The relative abundances of the same SSR types showed great similarity in the Bovinae species and also in the Caprinae species. The number, relative abundance and density of perfect mono- to hexanucleotide repeat types across these species genomes are presented in Table 3. Results here indicated that the number, relative abundance, and density of the same repeat type of perfect SSRs (mono- to hexanucleotides) showed great similarity in the six bovid species. Perfect mononucleotide SSRs were the most abundant category, followed by the pattern: perfect di- > tri- > penta- > tetra- > hexanucleotide SSRs (Table 3). The proportion of mono- to hexanucleotide SSRs was very similar in the six bovid genomes (Fig 1). Mononucleotide SSRs were the maximum ratio, accounting for 43.02% ~ 45.33% of all of the SSRs, followed by the dinucleotide SSRs, whereas trinucleotide SSRs were the third most frequent. The proportion of pentanucleotide SSRs was more than that of tetranucleotide SSRs and hexanucleotide SSRs was the minimum percentage. There were non-significant differences in these parameters between Bovinae and Caprinae genomes (t-test, p > 0.05).

Table 2. Relative abundance of the six categories of SSRs in the bovid genomes.

Type B. taurus B. mutus Bu. bubalis O. aries C. hircus P. hodgsonii
CD-SSRs 4.03 3.42 3.92 3.68 3.39 3.44
CX-SSRs 0.15 0.13 0.14 0.15 0.11 0.15
ICD-SSRs 2.17 2.04 2.21 2.54 2.32 2.17
ICX-SSRs 0.40 0.34 0.37 0.52 0.41 0.37
IP-SSRs 1.37 1.47 1.39 2.4 1.86 1.55
P-SSRs 253.52 254.96 256.28 243.66 239.9 229.59

Note: Compound, CD; interrupted compound, ICD; complex, CX; interrupted complex, ICX; Perfect, P; interrupted perfect, IP.

Table 3. Number, abundance and density of mono- to hexanucleotide repeat type in the bovid genomes.

Repeat type B. taurus B. mutus Bu. bubalis O. aries C. hircus P. hodgsonii
Mono- # SSRs 365,798 316,378 333,806 303,318 297,036 285,233
Abundance (#/Mb) 122.61 119.61 117.7 117.22 112.69 105.76
Density (bp/Mb) 1829.58 1759.18 1767.92 1750.45 1677.22 1537.07
Di- # SSRs 187,846 171,526 187,499 167,117 164,986 163,312
Abundance (#/Mb) 62.97 64.85 66.11 64.59 62.59 60.56
Density (bp/Mb) 1380.85 1324.79 1364.80 1436.86 1350.32 1326.49
Tri- # SSRs 123,674 112,936 121,982 91,709 92,073 90,696
Abundance (#/Mb) 41.46 42.70 43.01 35.44 34.93 33.63
Density (bp/Mb) 719.46 744.70 737.23 653.50 626.53 617.95
Tetra- #SSRs 51,615 46,006 52,793 49,851 49,943 52,900
Abundance (#/Mb) 17.30 17.39 18.61 19.27 18.95 19.62
Density (bp/Mb) 298.90 301.74 325.73 353.53 341.88 361.72
Penta- # SSRs 76,182 68,428 76,442 69,111 71,036 69,509
Abundance (#/Mb) 25.54 25.87 26.95 26.71 26.95 25.77
Density (bp/Mb) 537.95 554.38 566.31 582.83 587.20 568.36
Hexa- # SSRs 1,792 1,086 1,787 1,785 1,943 1,429
Abundance (#/Mb) 0.60 0.41 0.63 0.69 0.74 0.53
Density (bp/Mb) 16.63 12.01 17.74 19.95 20.48 14.88

Fig 1. The distribution of perfect SSRs in the six bovid genomes.

Fig 1

Percentages were calculated according to the total number of each perfect SSR category divided by the total number of SSRs for that organism.

It is amazing to find that the number of SSRs is closely positively correlated with genome size (Pearson, r = 0.898, p < 0.05) and but not significantly correlated with GC-content (Pearson, r < 0.185, p > 0.05) in these bovid genomes. Neither relative abundance nor relative density of SSRs in these bovid genomes was significantly correlated with genome size (Pearson, r < 0.420, p > 0.05) and GC-content (Pearson, r < −0.121, p > 0.05). For example, B. taurus (v4.6.1) has the longest genome sequence length of 2,983.31 Mb among all surveyed species, while, it is not as we hoped that has the highest SSR abundance and density (270.48 /Mb and 4,783.37 bp/Mb, respectively). Similarly, O. aries (v3.1) has the shortest genome sequence length of 2,587.51Mb, while it has the highest SSR density. The number, relative abundance and density of pentanucleotide SSR is more than that of tetranucleotide repeat types in these genomes. B. taurus and Bu. bubalis showed the largest number of pentanucleotides with 52,793 and 52,900 loci, respectively. Bu. bubalis and C. hircus have the highest and same relative abundance of pentanucleotides with 29.65 /Mb (Table 3), even though B. taurus has the lowest relative abundance (25.54 /Mb).

3.2 Diversity of SSRs in the bovid genomes

The most frequent motifs for different length varied with the different bovid species at the whole genome level (Table 4) and the chromosome level (S1 Table). Among mononucleotide repeat type, the motif (A)n were predominant (over 93.27%), while (C)n repeats were rare (less than 6.73%) in these bovid species genomes, with no obvious relation to the AT-richness of the genomes (Pearson, r < 0.160, p > 0.05). (AC)n, (AT)n and (AG)n were the three most frequent dinucleotide SSRs motifs, the three of which accounted for over 99% of all motifs of dinucleotide SSRs in each genome and each chromosome. In contrast, the (AC)n motif was particularly dominant, the (AT)n and the (AG)n motifs were less abundant, and (CG)n was the least frequent motifs found in any of the six genomes and each chromosome of B. taurus, O. aries, and C. hircus. In the trinucleotide repeat type, (ACG)n and (AGC)n were the most frequent motifs, followed by the (AAC)n, (AAT)n and (ACC)n motifs in these bovid genomes and each chromosome of B. taurus, O. aries, and C. hircus (except for Y chromosome). The (CCG)n motif was the least frequent in B. mutus, O. aries, C. hircus, and P. hodgsonii genomes, while the (AGT)n motif was the least frequent in B. taurus and Bu. bubalis genomes. The most frequent tetranucleotide SSRs motif was found to be the (AAAT)n unit, followed by the (AAAC)n and (AAAG)n motifs, and the (CCGG)n motifs was the least frequent in the six Bovidae genomes and each chromosome of B. taurus, O. aries, and C. hircus. The richness of tetranucleotide repeats is less than that of mono- to trinucleotide repeat motifs in these genomes except for the (AAAT)n, (AAAC)n and (AAAG)n motifs. The most frequent motifs of mono- to tetranucleotide was more invariable, with the list of most frequent motifs becoming identical for each bovid species, and the most frequent penta- and hexanucleotide motifs appeared to be more variable among these species, and each genome displayed its own characteristic. Penta- and hexanucleotide SSRs have a great many motifs in all six genomes. The (AACTG)n and (AGTTC)n motifs were the two most frequent tetranucleotide repeat units in these species and each chromosome of B. taurus, O. aries, and C. hircus, and none of these single hexanucleotide motifs appeared to be shared by the six bovid species. The (AAACAA)n motif was most frequent in B. mutus, Bu. bubalis, O. aries, and C. hircus genomes, whereas the (AAAGTG)n motif was most frequent in B. taurus and P. hodgsonii genomes. The telomeric-like hexanucleotide (AACCCT)n motif was also observed in all six genomes. The most frequent tetra- to hexanucleotide motifs appeared to be more variable between Bovinae and Caprinae species.

Table 4. The number, abundance, and density of the most frequent SSR motifs in the bovid genomes.

Repeat motif type B. taurus B. mutus Bu. bubalis O. aries C. hircus P. hodgsonii
A # SSRs 355,536 310,492 326,082 282,896 283,296 274,802
Abundance (#/Mb) 119.18 117.38 114.98 109.34 107.48 101.89
Density (bp/Mb) 1782.09 1724.56 1726.58 1611.5 1585.57 1475.36
C #SSRs 10,262 5,886 7,724 20,422 13,740 10,431
Abundance (#/Mb) 3.44 2.22 2.73 7.89 5.21 3.87
Density (bp/Mb) 47.49 34.63 41.34 138.94 91.65 61.72
AC # SSRs 111,720 105,664 114,982 101,967 101,862 102,687
Abundance (#/Mb) 37.45 39.94 40.54 39.4 38.64 38.07
Density (bp/Mb) 835.2 836.19 884.77 916.92 883.37 856.58
AG # SSRs 17,991 16,290 18,244 16,850 16,719 16,337
Abundance (#/Mb) 6.03 6.15 6.44 6.51 6.34 6.06
Density (bp/Mb) 108.84 113.63 115.13 135.35 122.57 121.58
AT # SSRs 57,682 49,266 53,736 47,947 46,035 43,764
Abundance (#/Mb) 19.33 18.63 18.95 18.53 17.46 16.23
Density (bp/Mb) 434.37 373.14 361.77 382.47 342.19 345.22
AAC # SSRs 9,039 8,864 9,610 9,877 9,874 8,638
Abundance (#/Mb) 3.03 3.36 3.38 3.82 3.74 3.21
Density (bp/Mb) 49.74 55.46 56.15 66.06 64.31 53.78
AAT # SSRs 7,148 6,484 7,143 6,565 6,685 6,911
Abundance (#/Mb) 2.39 2.45 2.52 2.54 2.54 2.56
Density (bp/Mb) 39.32 39.98 41.71 43.34 43.08 43.07
ACC # SSRs 4,040 4,336 4,301 4,017 3,797 3,672
Abundance (#/Mb) 1.35 1.64 1.52 1.56 1.44 1.37
Density (bp/Mb) 22.64 28.04 25.42 26.37 24.06 23.07
ACG # SSRs 46,957 43,571 45,987 32,073 32,672 32,527
Abundance (#/Mb) 15.74 16.48 16.21 12.39 12.39 12.06
Density (bp/Mb) 275.9 287.74 280.2 234.55 226.52 229.39
AGC #SSRs 47,388 42,783 46,687 32,669 33,248 32,674
Abundance (#/Mb) 15.89 16.18 16.46 12.62 12.61 12.11
Density (bp/Mb) 278.99 286.15 284.4 238.19 229.7 227.51
AAAC # SSRs 8,655 7,441 8,920 9,215 8,811 8,667
Abundance (#/Mb) 2.9 2.81 3.15 3.56 3.34 3.22
Density (bp/Mb) 50.83 49.1 55.1 64.41 60.12 57.32
AAAG # SSRs 4,781 3,800 4,271 4,597 4,451 4,695
Abundance (#/Mb) 1.6 1.44 1.51 1.77 1.69 1.74
Density (bp/Mb) 27.86 25.12 25.98 34.81 30.77 32.9
AAAT #SSRs 13,331 12,057 14,505 13,116 13,866 15,461
Abundance (#/Mb) 4.47 4.56 5.12 5.07 5.26 5.74
Density (bp/Mb) 75.66 77.56 87.69 91.18 93.65 105.52
AAGT # SSRs 2,129 2,110 2,210 2,069 2,031 2,172
Abundance (#/Mb) 0.72 0.8 0.78 0.8 0.77 0.81
Density (bp/Mb) 12.09 13.51 13.14 13.71 13.17 13.86
AATG # SSRs 2,285 2,153 2,288 2,052 2,060 2,091
Abundance (#/Mb) 0.77 0.82 0.8 0.8 0.78 0.77
Density (bp/Mb) 12.99 13.84 13.64 13.6 13.32 13.36
AACTG # SSRs 27,949 24,909 27,273 30,067 31,569 30,331
Abundance (#/Mb) 9.37 9.41 9.62 11.62 11.97 11.24
Density (bp/Mb) 196.83 202.44 201.53 252.94 260.71 247.43
AGTTC # SSRs 27,045 24,862 26,597 29,884 30,603 30,581
Abundance (#/Mb) 9.07 9.4 9.38 11.55 11.61 11.34
Density (bp/Mb) 190.36 199.38 196.52 252.33 252.88 249.02

3.3 The GC-content of all perfect SSRs in the bovid genomes

The adenine-thymine (AT) and GC-content were calculated in perfect SSRs of bovid genomes. The results were shown in Table 5. From the results, we can know that except for the trinucleotide SSRs, the AT-content of the remaining nucleotide repeat types are more than the GC-content. Mononucleotide SSRs had the most AT-content (over 92.06%), followed by the pattern: tetra- > di- > penta- > hexanucleotide SSRs, and the least was in the trinucleotide SSRs (ranging from 40.11% to 42.68%) in the six bovid genomes. On the other hand, we analyzed the GC-content of SSRs in the bovid genomes. The results showed that the most GC-content is in the trinucleotide, ranging from 57.32% (C. hircus) to 59.89% (B. taurus), and the least is in the mononucleotide, ranging from 1.97% to 7.94% in these genomes. In contrast, the GC-content in all mononucleotide SSRs was significantly lower than that in entire genome, and the GC-content in the di- and tetranucleotide SSRs were also less than that in entire genome in these analyzed genomes, and the GC-content in the remaining SSRs was more than that in entire genome. In the bovid entire genome, the total AT-contents range from 71.44% to 73.78%, were significantly higher than the GC-content. Therefore, the AT-content of SSRs is very high in the bovid species.

Table 5. The AT- and GC-content of perfect SSRs in the bovid genomes.

Repeat type B. taurus B. mutus Bu. bubalis O. aries C. hircus P. hodgsonii
Length (bp) % Length (bp) % Length (bp) % Length (bp) % Length (bp) % Length (bp) %
Mono- A + T 5,316,524 a 97.40 b 4,561,708 98.03 4,896,840 97.66 4,169,777 92.06 4,179,314 94.54 3,978,869 95.98
C + G 141,690 2.60 91,589 1.97 117,258 2.34 359,513 7.94 241,579 5.46 166,445 4.02
Di- A + T 2,704,043 65.64 2,243,219 64.01 2,443,975 63.14 2,351,017 63.24 2,227,712 62.59 2,250,023 62.90
C + G 1,415,455 34.36 1,261,045 35.99 1,426,813 36.86 1,366,875 36.76 1,331,518 37.41 1,327,365 37.10
Tri- A + T 860,866 40.11 801,886 40.71 845,173 40.42 715,424 42.31 704,848 42.68 703,524 42.21
C + G 1,285,508 59.89 1,167,953 59.29 1,245,725 59.58 975,508 57.69 946,589 57.32 963,021 57.79
Tetra- A + T 645,977 72.44 583,242 73.07 673,707 72.93 673,996 73.68 667,142 74.03 730,252 74.86
C + G 245,743 27.56 214,914 26.93 250,101 27.07 240,760 26.32 233,990 25.97 245,272 25.14
Penta- A + T 973,912 60.68 893,455 60.93 985,454 61.36 926,318 61.42 948,015 61.25 941,497 61.42
C+ G 630,973 39.32 572,950 39.07 620676 38.64 581,747 38.58 599,765 38.75 591,298 38.58
Hexa- A + T 27,274 54.97 19,755 62.20 29,055 57.75 31,488 61.00 32,319 59.88 23,257 57.94
C + G 22,340 45.03 12,003 37.80 21,255 42.25 20,130 39.00 21,657 40.12 16,883 42.06
Total A + T 10,528,596 73.78 9,103,265 73.27 9,874,204 72.84 8,868,020 71.44 8,759,350 72.19 8,627,422 72.27
C + G 3,741,709 26.22 3,320,454 26.73 3,681,828 27.16 3,544,533 28.56 3,375,098 27.81 3,310,284 27.73

a The numbers of nucleotides in SSRs are listed. For example: the total of the mononucleotide SSRs is 5,458,214 bp, of which 5,316,524 bp have A+T and 141,690 bp have C+G.

b For each repeat type, the percent of A + T and C + G are shown.

The GC-content of perfect SSRs was analyzed in all chromosomes of B. taurus, O. aries, and C. hircus, and the results are shown in Fig 2. From the results we can know that except for the chromosome 18 and Y in B. taurus, trinucleotide SSRs had the most GC-content (over 54.43%) and the least was in the mononucleotide SSRs in any chromosome of the three genomes. SSRs number of all chromosome in the B. taurus, O. aries, and C. hircus is closely positive correlated with chromosome sequence size (Pearson, r > 0.980, p < 0.01) and significantly negative correlated with GC-content (Pearson, r < -0.638, p < 0.01). Relative abundance and density in all chromosome of the B. taurus, O.arie, and C. hircus were significantly negatively correlated with GC-content (Pearson, r < −0.333, p < 0.05) and but not significantly correlated with chromosome sequence size (Pearson, r < -0.185, p > 0.05). The fluctuation range of GC-content in tri- and pentanucleotide SSRs tended to a horizontal line in all chromosomes of the three bovid species, and so was in the mononucleotide SSRs of B. taurus. There were some differences in the GC-contents of the same di-, tetra- and hexanucleotide SSRs among different chromosomes of the three bovid species, and so was in the same mononucleotide of O. aries and C. hircus chromosomes. The GC-content in the di-, penta- and hexanucleotide SSRs overlap and interweave in all chromosomes of the three species. The percentage sum of GC-content plus AT-content is equal to 100%, from Fig 2 we can know that the AT-contents of mono- to hexanucleotide SSRs were distributed in all chromosomes of the three bovid species.

Fig 2. The GC-content of perfect SSRs in all chromosomes of B. taurus, O. aries, and C. hircus.

Fig 2

3.4 The distribution of perfect SSRs in the chromosomes of B. taurus, O. aries, and C. hircus

The relative abundances of the same nucleotide SSR type show highly similarity in all chromosomes of B. taurus, O. aries, and C. hircus (Fig 3). In the relative abundance of all chromosomes of these three bovid species, mononucleotide was the most abundant, followed by the pattern: perfect di- > tri- > penta- > tetra- > hexanucleotide SSRs. The relative overall mono- to tetranucleotide SSR abundances were higher in the B. taurus Y chromosome than in its autosomes and X chromosome. The relative pentanucleotide SSR abundances was higher in the Y chromosome of B. taurus than in its autosomes and X chromosome except for chromosome 1, 2, 4, 6, 9 and 12. It's roughly equivalent to the same nucleotide SSRs abundance in the autosomes of B. taurus. Dinucleotide SSRs abundance were higher in the C. hircus X chromosome than in its autosomes and so was in the O. aries Y chromosome than in its autosomes. It is almost equal to the abundance in the same tri-, tetra- and hexanucleotide SSRs of the C. hircus and O. aries autosomes. Our analysis revealed that the fluctuations of relative abundance were within a narrow range in all chromosomes of the three bovid species. The relative abundance of mononucleotide SSRs in all chromosomes of B. taurus, O. aries, and C. hircus were mainly concentrated in the 123.73 /Mb, 118.93 /Mb, and 113.58 /Mb, respectively; dinucleotide SSR were mainly concentrated in the 63.59 /Mb, 65.00 /Mb, and 62.57 /Mb, respectively; trinucleotide SSR were mainly concentrated in the 41.53 /Mb, 35.14 /Mb, and 34.81 /Mb, respectively; tetranucleotide SSR were mainly concentrated in the 17.71 /Mb, 19.29 /Mb, and 18.81 /Mb, respectively; pentanucleotide SSR were mainly concentrated in the 24.70 /Mb, 25.58 /Mb, and 25.88 /Mb, respectively; hexanucleotide SSR were mainly concentrated in the 0.55 /Mb, 0.69 /Mb, and 0.73 /Mb, respectively.

Fig 3. The distribution of perfect SSRs in all chromosomes of the B. taurus, O. aries, and C. hircus.

Fig 3

Discussion

4.1 Diversity of microsatellite distribution in the bovid genomes

In this study, we used MSDB to scan the recently assembled B. taurus, B. mutus, Bu. bubalis, O. aries, C. hircus, P. hodgsonii genomes for microsatellites of 1–6 bp. To compare our results, we performed a similar analysis of these bovid genomes using the same bioinformatics tool and search parameters. Clearly, these data provide evidence of similarity patterns of SSRs distribution in bovid genomes, indicating that the particular contribution of these SSRs to the genome of the six bovids may be the rule for other bovid species. Mononucleotides SSRs were the most abundant repeat type, accounting for 43.01%– 45.33% of all of the SSRs, followed by the pattern: di- > tri- > Penta- > tetra- > hexanucleotides SSRs in the study. Eukaryotic genomes are characterized by the prevalence of mononucleotide repeats over other nucleotide repeat classes [24]. Mononucleotide repeats are the most abundant class of SSRs in all the human chromosomes [25], Volvariella volvacea and Agaricus bisporus [26]. However, dinucleotide repeats are the most abundant SSRs in rodents [5] and majority of the dicot species [27]. Trinucleotide repeats are the most abundant SSRs in Neurospora crassa [28], Cyanidioschyzon merolae, Thalassiosira pseudonana [24], Coprinus cinereus, Schizophyllum commune, Pleurotus ostreatus [26] and Eremothecium gossypii genomes [24], which could indicate their structural similarity with prokaryotes. Previous research has shown that hexanucleotide repeats are the most abundant SSRs in the coding regions of eukaryotes [25]. Here, hexanucleotide SSRs appeared significantly underrepresented, with as few as 0.15%– 0.29% of the total number of SSRs in the bovid species. In contrast, tetranucleotide SSRs were less abundant than pentanucleotide SSRs in the study. It might be due to positive selection of even-number motif repeats relative to odd-number motif repeats. Alternatively, there could be a more passive reason, namely that even-number motif repeats might be favored to accumulate and/or to be maintained [25]. Further studies will be required to test these possibilities.

The smaller motifs were predominant in each genome, as motif length increases, the occurrence decreases. This trend has been observed for a range of organisms [23]. Among mononucleotide repeat type, the motif (A/T)n were predominant, while (C/G)n repeats were rare in these bovid genomes. Also, the (A/T)n motif was the most frequent mononucleotide repeats in A. bisporus, V. volvacea, C.cinereus, P. ostreatus [26], Caenorhabditis elegans, Brugia malayi, Meloidogyne hapla [14], and Carlavirus [29], whereas the (C/G)n motifs were most frequent in the S.commune [29], Meloidogyne incognita and Pristionchus pacificus [14] genomes. Among the dinucleotide SSRs of these bovids, the (AC)n motif seem to be predominant compared with other motifs, while (CG)n were extremely rare and all present in these Bovidae species. Also, (AC)n motif was predominant in human beings [25] and Carlavirus [29], and (AG)n motifs are the most abundant in Magnaporthe grisea, Ustilago maydis [23,28], Camellia sinensis L. [30], nematodes [14], insects [31] and other invertebrates [32], while the (CG)n repeats were extremely rare. This is especially interesting because (CG)n motifs were also rare in human beings, Drosophila melanogaster, C. elegans, Arabidopsis thaliana [32], Brassica rapa [33], yeast [32], and fungi [23, 28].

Our study showed that the occurrence of (AC)n motif was nearly 261.03 times on average as abundant as the (CG)n motif in the bovid genomes (Table 2). The lower frequencies of (CG)n motifs can be explained on the basis of A/T richness and the relative difficulty of strand separation for C≡G compared to A≡T and other tracts [6]. In the same way, trinucleotide SSRs were dominated by CG-rich motifs, with (AGC)n and (ACG)n being always present in the most common motifs and (CCG)n being forever existing in the least frequent motif in the bovid genomes investigated. Previous study revealed that the (AAG)n motif predominated in Potyvirus [6], Aspergillus nidulans, Cryptococcus neoformans, Encephalitozoon cuniculi, Saccharomyces cerevisiae [23], C. elegans [14], Serpula lacrymans [34] and the (AAT)n motif in M. hapla, P. pacificus, B. malayi [14] and Schizosaccharomyces pombe [23], and the (ACG)n motif in Ganoderma lucidum, Coprinopsis cinerea, Laccaria bicolor, Postia placenta [34] and U.maydis [23], whereas (CCG)n motif was the most frequent in Phanerochaete chrysosporium [34] and M. grisea [23], the (AAC)n motifs are the most frequent in M. incognita [14] and N. crassa [23]. The (AACTG)n and (AGTTC)n motifs were the two most frequent tetranucleotide repeat units in these species and none of these single hexanucleotide motifs appeared to be shared by the six bovid species. The (AAACAA)n motif was most frequent in B. mutus, Bu. bubalis, O. aries, and C. hircus, whereas the (AAAGTG)n motif was most frequent in B. taurus and P. hodgsonii. Overall, the diversity of SSRs motifs gave each of the six bovid species a similarity pattern of SSRs distribution, suggesting that they can be nearly phylogenetic relationships. Conversely, none of the most frequent di- to hexanucleotide motifs contains exclusively Cs or Gs. The relative abundances of the same SSRs motifs show great similarity in the Bovinae species and so is in the Caprinae species. Indeed, such a consistency in the study may be considered as a strong indication of the robustness of the global analysis.

4.2 The GC-content in all analyzed SSRs

It has been reported that the level of GC-content may play some important roles in the entire genome. Indeed, the (G)n mutants in the thymidine kinase (TK) gene (tk) was reported to be related with the reactivation of herpes simplex virus [35]. The high GC-content repeats have also been reported to be related to some diseases in human and the pathogenesis of some microorganisms. For example, fragile X mental retardation-1 (FMR-1) alleles with the (CGG)n repeats were associated with neurodegeneration [36] and ovarian insufficiency [37]. FRA12A mental retardation resulted from the expansion of a large (CGG)n tract in the 5′ UTR of the DIP2B gene [38]. The (G)n repeats in membrane protein-gene pmp10 of Chlamydophila (Chlamydia) pneumoniae was involved in virulence and pathogenesis of Chlamydia [39] and the (C)n in outer membrane proteins was involved in the pathogenesis of C. pneumoniae [40]. Long SSR with 5–11bp motif (SSR5–11) were more common in GC-rich genomes, and large genomes tend to be GC-rich, and the weak correlation between Long SSR5–11 counts and GC-content may arise as an artifact of correlations of both with the genome size [4]. Interestingly, GC-rich SSRs were generally more difficult to expand in these PCR experiments, seemingly agreeing with our observation. There was a negative correlation between the GC-content of the flanking regions of SSRs and its polymorphism [41], which might be valuable in choosing SSRs markers. This may be due to the preponderance of motif repeats with low GC-content and SSRs frequently constitute genomic regions of low Tm.

Data-mining of 26 completed genomes showed that SSRs with low GC-content were predominant in most eukaryotic genomes [24]. This trend also emerged from our survey, with the majority of the most frequent SSRs motifs from bovids being AT-rich. The (A/T)n motifs were significantly more prevalent than the (G/C)n motifs in each complete bovid genome, whose difference could be explained by the AT-content being only notably higher than GC-content in each of the analyzed sequences. Trinucletide SSRs had high GC-content in monocot genomes [42], which was consistent with our study. The GC-content of SSRs in different coding regions was different. For example, GC-content of those reverse repeat regions (RS and RL) was significantly higher than that in unique long and unique short regions (UL and US) in Herpes simplex virus type 1 (HSV-1) [43]. Also, the GC-content of SSRs in RS- and RL-coding regions is significantly higher than that in UL- and US-regions. This could be due to the different mutational pressure in different coding regions [44]. The GC-content has been shown to covary with genomic properties such as regulated replication or expression timing [4546], DNA bendability [47] and ability to B–Z transition [48]. The (CCG)n repeats can form secondary structures (hairpin-like) that escape DNA repair in yeast [49]. The (CCG)n repeats which were rich in HSV-1 genome were exhibited considerable hairpinforming and quadruplex-forming potential [10]. Therefore, the high GC-content in genome may affect the genome structure, especially the high GC-content in SSRs.

4.3 Distributional difference of SSR abundance, density and GC-content on different chromosomes

Sex chromosomes have been found to differ in SSRs density from autosomes in many eukaryotes. Human, rat [50], and mouse [51] X chromosomes were found to have a lower abundance of SSRs compared to autosomes, whereas the reverse was the case for dinucleotide SSRs in the Drosophila X chromosome [52]. The Z chromosome of Bombyx mori, equivalent to the X chromosome of mammals and Drosophila, had a higher trinucleotide SSRs density in the Z chromosome than in its autosomes [53]. In the mon- and dinucleotide SSRs of B. taurus, C. hircus, and O. aries, all chromosomes had the highest abundance and density of (A)n and (AC)n motifs. The autosomes and X chromosome of these three bovid species had the highest abundance and density of (ACG)n and (AGC)n motifs in trinucleotide SSRs, whereas the B. taurus Y chromosome had the highest abundance and density of (AAC)n motifs. Also, the autosomes and X chromosome of these species all had the highest abundance and density of (AAAT)n motifs in tetranucleotide SSRs, whereas the Y chromosome of B. taurus had the highest abundance and density of (AAAC)n and (AAAG)n motifs. The B.mori Z chromosome had a higher density of (ATT)n repeats compared to the autosomes, and its sequences contained very few tetra- and hexanucleotide repeats and were devoid of pentanucleotides [53]. In these three Bovidae species, all chromosome sequences also contained very few hexanucleotide SSRs.

It is almost equal to the GC-contents in the same tri- and pentanucleotide SSRs of the B. taurus, O. aries, and C. hircus autosomes, whereas the reverse was the case for the same mono-, di-, tetra- and hexanucleotide SSRs in its autosomes and sex chromosomes (Fig 2). The GC-contents of tri- to hexanucleotide SSRs were less in the X and Y chromosomes of B. taurus than that in its autosomes. Trinucleotide SSRs had the most GC-content except for the chromosome 18 and Y in B. taurus, and the least was in the mononucleotide SSRs in the chromosomes of the three bovid genomes. The GC-contents of tri- and hexanucleotide SSRs were less in the X chromosomes of O. aries than that in its autosomes. And the GC-contents of di- to pentanucleotide SSRs were less in the X chromosomes of C. hircus than that in its autosomes (Fig 2).

Conclusions

The mononucleotide SSRs were the most abundant, followed by the pattern: di- > tri- > penta- > tetra- > hexanucleotide SSRs. Generally, the number of SSRs, relative abundance, and relative density of SSRs decreased as the motif repeat length increased in each species of the Bovidae. The most GC-content was in trinucleotide SSRs and the least was in the mononucleotide SSRs in the six bovid genomes. The GC-contents of tri- and pentanucleotide SSRs display a great deal of similarity among different chromosomes of B. taurus, O. aries, and C. hircus. The SSR number of all chromosomes in the B. taurus, O.arie, and C. hircus is closely positively correlated with chromosome sequence size and significantly negatively correlated with GC-content. Relative abundance and density of SSRs in all chromosomes of the three species were significantly negatively correlated with GC-content and but not significantly correlated with chromosome sequence size. These data provided evidence for similarity patterns of SSR distributions in the six bovid species, which indicated that the particular contribution of their SSRs may be the rule for other bovids.

Supporting Information

S1 Table. The most and least frequent motifs for different length shared by all chromosomes of the B. taurus, O. aries, and C. hircus.

(RAR)

Acknowledgments

We thank Wanqing Zhang, Lin Cheng and Shiming Lu at College of Life Science and Engineering, Chongqing Three Gorges University, for assisting the study.

Data Availability

All the genome sequences were downloaded in FASTA format from the GenBank (http://www.ncbi.nlm.nih.gov). All relevant data are within the paper and its Supporting Information files.

Funding Statement

This work was supported by the Scientific and Technological Research Program of Chongqing Municipal Education Commission (No. KJ1401004) and Wanzhou District (No. 201403068), Talent Introduction Project (No. 12RC03) and Youth Project (No. 13QN12) of Chongqing Three Gorges University.

References

  • 1. Tautz D, Renz M. Simple sequences are ubiquitous repetitive components of eukaryotic genomes. Nucleic Acids Res. 1984; 12(10): 4127–4138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Schlötterer C. The evolution of molecular markers—just a matter of fashion? Nat Rev Genet. 2004; 5(1): 63–69. [DOI] [PubMed] [Google Scholar]
  • 3. Selkoe KA, Toonen RJ. Microsatellites for ecologists: a practical guide to using and evaluating microsatellite markers. Ecol Lett. 2006; 9(5): 615–629. [DOI] [PubMed] [Google Scholar]
  • 4. Mrázek J, Guo X, Shah A. Simple sequence repeats in prokaryotic genomes. Proc Natl Acad Sci USA. 2007; 104(20): 8472–8477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Tóth G, Gáspári Z, Jurka J. Microsatellites in different eukaryotic genomes: survey and analysis. Genome Res. 2000; 10(7): 967–981. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Zhao X, Tan Z, Feng H, Yang R, Li M, Jiang J, Shen G, Yu R. Microsatellites in different Potyvirus genomes: Survey and analysis. Gene. 2011; 488(1): 52–56. [DOI] [PubMed] [Google Scholar]
  • 7. Dieringer D, Schlötterer C. Two distinct modes of microsatellite mutation processes: evidence from the complete genomic sequences of nine species. Genome Res. 2003; 13(10): 2242–2251. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Jarne P, Lagoda PJL. Microsatellites, from molecules to populations and back. Trends Ecol Evol. 1996; 11(10): 424–429. [DOI] [PubMed] [Google Scholar]
  • 9. Ellegren H. Microsatellites: simple sequences with complex evolution. Nat Rev Genet. 2004; 5(6): 435–445. [DOI] [PubMed] [Google Scholar]
  • 10. Li YC, Korol AB, Fahima T, Nevo E. Microsatellites within genes: structure, function, and evolution. Mol. Biol. Evol. 2004; 21(6): 991–1007. [DOI] [PubMed] [Google Scholar]
  • 11. Hefferon TW, Groman JD, Yurk CE, Cutting GR. A variable dinucleotide repeat in the CFTR gene contributes to phenotype diversity by forming RNA secondary structures that alter splicing. Proc Natl Acad Sci USA. 2004; 101(10): 3504–3509. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Kashi Y, King DG. Simple sequence repeats as advantageous mutators in evolution. Trends Genet. 2006; 22(5): 253–259. [DOI] [PubMed] [Google Scholar]
  • 13. Lawson MJ, Zhang L. Distinct patterns of SSR distribution in the Arabidopsis thaliana and rice genomes. Genome Biol. 2006; 7(2): R14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Castagnone-Sereno P, Danchin EG, Deleury E, Guillemaud T, Malausa T, Abad P. Genome-wide survey and analysis of microsatellites in nematodes, with a focus on the plant-parasitic species Meloidogyne incognita . BMC genomics. 2010; 11(1): 598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Jayashree B, Punna R, Prasad P, Bantte K, Hash CT, Chandra S, Hoisington DA, Varshney RK. A database of simple sequence repeats from cereal and legume expressed sequence tags mined in silico: survey and evaluation. In Silico Biol. 2006; 6(6): 607–620. [PubMed] [Google Scholar]
  • 16. Korpelainen H, Kostamo K, Virtanen V. Microsatellite marker identification using genome screening and restriction-ligation. Biotechniques. 2007; 42(4): 479–486. [DOI] [PubMed] [Google Scholar]
  • 17. Coenye T, Vandamme P. Characterization of mononucleotide repeats in sequenced prokaryotic genomes. DNA Res. 2005; 12(4): 221–233. [DOI] [PubMed] [Google Scholar]
  • 18. Du L, LI Y, Zhang X, Yue B. MSDB: A user-friendly program for reporting distribution and building databases of microsatellites from genome sequences. J Hered. 2013; 104(1): 154–157. 10.1093/jhered/ess082 [DOI] [PubMed] [Google Scholar]
  • 19. Chambers GK, MacAvoy ES. Microsatellites: consensus and controversy. Comp Biochem Physiol B. 2000; 126(4): 455–476. [DOI] [PubMed] [Google Scholar]
  • 20. Bachmann L, Bareiss P, Tomiuk J. Allelic variation, fragment length analyses and population genetic models: a case study on Drosophila microsatellites. J Zool Syst Evol Res. 2004; 42(3): 215–223. [Google Scholar]
  • 21. Jurka J, Pethiyagoda C. Simple repetitive DNA sequences from primates: compilation and analysis. J Mol Evol. 1995; 40(2): 120–126. [DOI] [PubMed] [Google Scholar]
  • 22. Li CY, Liu L, Yang J, Li JB, Su Y, Zhang Y, Wang YY, Zhu YY. Genome-wide analysis of microsatellite sequence in seven filamentous fungi. Interdiscip Sci. 2009; 1(2): 141–150. 10.1007/s12539-009-0014-5 [DOI] [PubMed] [Google Scholar]
  • 23. Karaoglu H, Lee CMY, Meyer W. Survey of simple sequence repeats in completed fungal genomes. Mol Biol Evol. 2005; 22(3): 639–649. [DOI] [PubMed] [Google Scholar]
  • 24. Sharma PC, Grover A, Kahl G. Mining microsatellites in eukaryotic genomes. Trends Biotechnol. 2007; 25(11): 490–498. [DOI] [PubMed] [Google Scholar]
  • 25.Subramanian S, Mishra RK, Singh L. Genome-wide analysis of microsatellite repeats in humans: their abundance and density in specific genomic regions. Genome Biol. 2003; 4(2): R13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Wang Y, Chen M, Wang H, Wang JF, Bao D. Microsatellites in the genome of the edible mushroom, Volvariella volvacea . BioMed research international, 2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Kumpatla SP, Mukhopadhyay S. Mining and survey of simple sequence repeats in expressed sequence tags of dicotyledonous species. Genome. 2005; 48(6): 985–998. [DOI] [PubMed] [Google Scholar]
  • 28. Kim TS, Booth JG, Gauch HG, Sun Q, Park J, Lee YH, Lee K. Simple sequence repeats in Neurospora crassa: distribution, polymorphism and evolutionary inference. BMC genomics. 2008; 9(1): 31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Alam CM, Singh AK, Sharfuddin C, Ali S. Genome-wide scan for analysis of simple and imperfect microsatellites in diverse carlaviruses. Infection, Genetics and Evolution. 2014; 21: 287–294. 10.1016/j.meegid.2013.11.018 [DOI] [PubMed] [Google Scholar]
  • 30. Sharma RK, Bhardwaj P, Negi R, Mohapatra T, Ahuja PS. Identification, characterization and utilization of unigene derived microsatellite markers in tea (Camellia sinensis L.). BMC Plant Biol. 2009; 9(1): 53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Estoup A, Solignac M, Harry M, Cornuet JM. Characterization of (GT) n and (CT) n microsatellites in two insect species: Apis mellifera and Bombus terrestris . Nucleis Acids Res. 1993; 21(6): 1427–1431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Katti MV, Ranjekar PK, Gupta VS. Differential distribution of simple sequence repeats in eukaryotic genome sequences. Mol Biol Evol. 2001; 18(7): 1161–1167. [DOI] [PubMed] [Google Scholar]
  • 33. Hong CP, Piao ZY, Kang TW, Batley J, Yang T, Hur Y, Bhak J, Park BS, Lim YP. Genomic distribution of simple sequence repeats in Brassica rapa . Mol Cells. 2007; 23(3): 349 [PubMed] [Google Scholar]
  • 34. Qian J, Xu H, Song J, Xu J, Zhu Y, Chen S. Genome-wide analysis of simple sequence repeats in the model medicinal mushroom Ganoderma lucidum . Gene. 2013; 512(2): 331–336. 10.1016/j.gene.2012.09.127 [DOI] [PubMed] [Google Scholar]
  • 35. Griffiths A, Link MA, Furness CL, Coen DM. Low-level expression and reversion both contribute to reactivation of herpes simplex virus drug-resistant mutants with mutations on homopolymeric sequences in thymidine kinase. J Virol. 2006; 80(13): 6568–6574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Hagerman PJ, Hagerman RJ. Fragile X-associated tremor/ataxia syndrome (FXTAS). Ment Retard Dev Disabil Res Rev. 2004; 10(1): 25–30. [DOI] [PubMed] [Google Scholar]
  • 37. Sherman SL. Premature ovarian failure in the fragile X syndrome. Am J Med Genet. 2000; 97(3): 189–194. [DOI] [PubMed] [Google Scholar]
  • 38. Winnepenninckx B, Debacker K, Ramsay J, Smeets D, Smits A, FitzPatrick DR, Kooy RF. CGG-repeat expansion in the DIP2B gene is associated with the fragile site FRA12A on chromosome 12q13.1. Am J Hum Genet. 2007; 80(2): 221–231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Grimwood J, Olinger L, Stephens RS. Expression of Chlamydia pneumoniae polymorphic membrane protein Family Genes. Infect Immun. 2001; 69(4): 2383–2389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Rocha EPC, Blanchard A. Genomic repeats, genome plasticity and the dynamics of Mycoplasma evolution. Nucleic Acids Res. 2002; 30(9): 2031–2042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Glenn TC, Stephan W, Dessauer HC, Braun MJ. Allelic diversity in alligator microsatellite loci is negatively correlated with GC-content of flanking sequences and evolutionary conservation of PCR amplifiability. Mol Biol Evol. 1996; 13(8): 1151–1154. [DOI] [PubMed] [Google Scholar]
  • 42. Morgante M, Hanafey M, Powell W. Microsatellites are preferentially associated with nonrepetitive DNA in plant genomes. Nat Genet. 2002; 30(2): 194–200. [DOI] [PubMed] [Google Scholar]
  • 43. Ouyang Q, Zhao X, Feng H, Tian Y, Li D, Li M, Tan Z. High GC content of simple sequence repeats in Herpes simplex virus type 1 genome. Gene. 2012; 499(1): 37–40. 10.1016/j.gene.2012.02.049 [DOI] [PubMed] [Google Scholar]
  • 44. Khrustalev VV, Barkovsky EV. Mutational pressure is a cause of inter-and intragenomic differences in GC-content of simplex and varicello viruses. Comput Biol Chem. 2009; 33(4): 295–302. 10.1016/j.compbiolchem.2009.06.005 [DOI] [PubMed] [Google Scholar]
  • 45. Hiratani I, Leskovar A, Gilbert DM. Differentiation-induced replication-timing changes are restricted to AT-rich/long interspersed nuclear element (LINE)-rich isochores. Proc Natl Acad Sci USA. 2004; 101(48): 16861–16866. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Ren L, Gao G, Zhao D, Ding M, Luo J, Deng H. Developmental stage related patterns of codon usage and genomic GC content: searching for evolutionary fingerprints with models of stem cell differentiation. Genome Biol. 2007; 8(3): R35 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Vinogradov AE. Bendable genes of warm-blooded vertebrates. Mol Biol Evol. 2001; 18(12): 2195–2200. [DOI] [PubMed] [Google Scholar]
  • 48. Vinogradov AE. DNA helix: the importance of being GC-rich. Nucleic Acids Res. 2003; 31(7): 1838–1844. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Moore H, Greenwell PW, Liu CP, Arnheim N, Petes TD. Triplet repeats form secondary structures that escape DNA repair in yeast. Proc Natl Acad Sci USA. 1999; 96(4): 1504–1509. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Beckmann JS, Weber JL. Survey of human and rat microsatellites. Genomics. 1992; 12(4): 627–631. [DOI] [PubMed] [Google Scholar]
  • 51. Jarne P, David P, Viard F. Microsatellites, transposable elements and the X chromosome. Mol Biol Evol. 1998; 15(1): 28–34. [DOI] [PubMed] [Google Scholar]
  • 52. Bachtrog D, Weiss S, Zangerl B, Brem G, Schlötterer C. Distribution of dinucleotide microsatellites in the Drosophila melanogaster genome. Mol Biol Evol. 1999; 16(5): 602–610. [DOI] [PubMed] [Google Scholar]
  • 53. Prasad MD, Muthulakshmi M, Madhu M, Archak S, Mita K, Nagaraju J. Survey and analysis of microsatellites in the Silkworm, Bombyx mori frequency, distribution, mutations, marker potential and their conservation in heterologous species. Genetics. 2005; 169(1): 197–214. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Table. The most and least frequent motifs for different length shared by all chromosomes of the B. taurus, O. aries, and C. hircus.

(RAR)

Data Availability Statement

All the genome sequences were downloaded in FASTA format from the GenBank (http://www.ncbi.nlm.nih.gov). All relevant data are within the paper and its Supporting Information files.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES