Expressed sequence tags from Peromyscus testis and placenta tissue: Analysis, annotation, and utility for mapping
© Glenn et al; licensee BioMed Central Ltd. 2008
Received: 31 July 2007
Accepted: 24 June 2008
Published: 24 June 2008
Mice of the genus Peromyscus are found in nearly every habitat from Alaska to Central America and from the Atlantic to the Pacific. They provide an evolutionary outgroup to the Mus/Rattus lineage and serve as an intermediary between that lineage and humans. Although Peromyscus has been studied extensively under both field and laboratory conditions, research has been limited by the lack of molecular resources. Genes associated with reproduction typically evolve rapidly and thus are excellent sources of evolutionary information. In this study we describe the generation of two cDNA libraries, one from placenta and one from testis, characterize the resulting ESTs, and describe their utility for mapping the Peromyscus genome.
The 5' ends of 1,510 placenta and 4,798 testis clones were sequenced. Low quality sequences were removed and after clustering and contig assembly, 904 unique placenta and 2,002 unique testis sequences remained. Average lengths of placenta and testis ESTs were 711 bp and 826 bp, respectively. Approximately 82% of all ESTs were identified using the BLASTX algorithm to Mus and Rattus, and 34 – 54% of all ESTs could be assigned to a biological process gene ontology category in either Mus or Rattus. Because the Peromyscus genome organization resembles the Rattus genome more closely than Mus we examined the distribution of the Peromyscus ESTs across the rat genome finding markers on all rat chromosomes except the Y. Approximately 40% of all ESTs were specific to only one location in the Mus genome and spanned introns of an appropriate size for sequencing and SNP detection. Of the primers that were tried 54% provided useful assays for genotyping on interspecific backcross and whole-genome radiation hybrid cell panels.
The 2,906 Peromyscus placenta and testis ESTs described here significantly expands the molecular resources available for the genus. These ESTs allow for specific PCR amplification and broad coverage across the genome, creating an excellent genetic marker resource for the generation of a medium-density genomic map. Thus, this resource will significantly aid research of a genus that is uniquely well-suited to both laboratory and field research.
Members of the genus Peromyscus are mice found from Alaska to Central America and from the Atlantic to the Pacific. They occur in a wide range of habitats including sea-level wetlands and beaches, forests, prairies, deserts, and mountains of elevation up to 14,000 ft. This genus contains not only the two most wide-spread mammals in North America, the deer mouse (P. maniculatus) and the white-footed mouse (P. leucopus), but also contains North America's most endangered mammal, the Perdido Key Beach Mouse (P. polionotus trissyllepsis).
Peromyscines are unique non-traditional research models and have been studied extensively under both field and laboratory conditions in such diverse areas as epidemiology, speciation, habitat adaptation, behavior, toxicology, and aging [1–9]. Several strains maintained at the Peromyscus Genetic Stock Center (PGSC) exhibit neurological defects and stereotypical behavior that are not characterized in either Mus or Rattus. Furthermore, they are the reservoirs of several emerging human diseases, including hanta virus pulmonary syndrome [10, 11], lyme disease , ehrlichiosis, and babesiosis .
Despite the abundance of studies on this genus, research has been limited by the lack of molecular genetic resources. Recently though, there have been significant contributions in this area in the form of BAC libraries for P. maniculatus rufinus (Childrens' Hospital Oakland Research Institute, CHORI-233) and P. leucopus (J. Storz, Univ. Nebraska), hundreds of microsatellite loci [[14, 15], Hoekstra and Glenn personal communication], and interspecific backcross and whole-genome radiation hybrid cell mapping panels [16, 17]. A genomic linkage map of Peromyscus is needed to fully exploit all of these resources and advance Peromyscus as a model species.
To aid in the production of a linkage map, cDNA libraries of placenta tissue and testis tissue were constructed and used in the production of type I (gene-coding) markers. Placenta and testis were chosen because genes regulating reproduction are known to evolve rapidly [18, 19]. Therefore, genes expressed in these tissues are likely to contain polymorphisms that are easily detectable in interspecific backcross and radiation hybrid mapping panels. By sequencing clones from cDNA libraries the expressed portion of the genome can be characterized. These expressed sequence tags (ESTs) may then be identified by homology to Mus and Rattus, thus providing data useful for evolutionary analysis, gene expression, and mapping. Below we characterize sequences of clones from these cDNA libraries.
Results and Discussion
Number of ESTs at each stage of the analysis
Number of Sequences
Number of Sequences
Clustering and Contig assembling
Number of clusters of different sizes after the cluster and assemble stages of the TGICL algorithm
EST annotation and function
Summary of BLASTX results.
(EST input = 904)
(EST input = 2002)
Utility of ESTs for mapping
Conversely, rat chromosomes 15 and X had 43% and 35% fewer genes than expected. Under-representation of placental genes on the rat X chromosome is surprising, as the Mus X chromosome is known to be enriched for genes primarily transcribed only in female mice , an observation attributed to the silencing of the paternal X chromosome in the placenta of female mammals . This paucity of placental genes cannot be explained by evolutionary differences among Mus, Rattus, and Peromyscus, as fluorescent in situ hybridization shows the genes on the X chromosome are shared by all three species . Thus, these female-specific transcripts on the X chromosome may have little to do with placentation. Alternatively, placentation genes on the X chromosome may have diverged significantly from Mus and Rattus, thus reducing the likelihood of positive identification with the BLAST search.
For the testis library, an abundance of testis-related genes were found on rat chromosomes 5 and 19, which had 42% and 37% more genes than random expectation. These chromosomes likely account for the paucity of testis-related genes on rat chromosomes 14, 18, and X, which have 30%, 35%, and 57% fewer genes than expected by chance. The lack of testis-related genes on the X chromosome is not surprising, as recent research demonstrates the X chromosome lacks genes involved in spermatogenesis [23, 24]. The only chromosomes that are consistently under-represented in both libraries are the X and Y. In fact, if the X chromosome is excluded, the observed distribution does not differ from expected for either the placenta or testis library (χ2 = 29.25, df = 19, P = 0.062 and χ2 = 24.90, df = 19, P = 0.164, respectively), although this result is only marginal for the placenta library. For all other chromosomes, these two libraries provide a sufficient number and distribution of markers to effectively span at least 90% of any given chromosome, therefore providing a valuable and effective marker resource for mapping the Peromyscus genome. In fact, prior to the development of these ESTs, the Peromyscus Genetic Stock Center had mapped most of only 2 chromosomes. Those 2 chromosomes were finished with the aid of new EST markers, and all or parts of 11 additional new chromosomes were mapped using mostly the EST markers . Recently, 4 additional chromosomes have been partially mapped using only EST markers (unpublished data).
Although abundant, the most useful ESTs are those located in unmapped regions. Of 377 ESTs occurring in areas that would bridge gaps in the existing Peromyscus genome map, a BLASTN search indicated that 2 matched non-coding DNA better than they matched their associated protein, 4 yielded no significant similarity, and 5 matched a different chromosome than expected. These few unidentified ESTs may have resulted from a failure of the BLASTN algorithm to recognize more highly diverged sequences as orthologous. Of the remaining 366 ESTs, 151 (41.3%) ESTs offered good candidates for primer design, of which 81 (22.8%) were selected for initial testing. To qualify as a good candidate for primer design, a BLASTN of the EST sequence to Mus must match the expected protein only and either span an intron 300 – 1000 bp or ≥ 500 bp of the EST must occur in an untranslated region. Of the 81 primer pairs designed and tested, 44 (54.3%) were easily amplified and contained polymorphisms useful as assays for typing on a backcross panel of Peromyscus maniculatus × P. polionotus (see methods). This number is a conservative estimate, however, as 22 (27.2%) have been optimized but not sequenced because they were not needed.
Of 904 placenta ESTs with a significant protein match based on a BLASTX search, 657 also had a single high-probability BLASTN match to the Mus genome, and therefore were likely to be highly specific for mapping purposes. Of these, 29 ESTs (4.4%) contained 34 microsatellite repeats distributed as 7, 18, 8, and 1 di-, tri-, tetra-, and pentanucleotide microsatellites. One EST contained 2 trinucleotide microsatellites, 1 contained 3 trinucleotide microsatellites, and 2 contained a di- and a tetranucleotide microsatellite. For 1409 testis ESTs with only one BLASTN match to the Mus genome, 111 sequences (7.9%) had 134 microsatellite repeats distributed as 35, 73, 20, 4, and 2 di-, tri-, tetra-, penta-, and hexanucleotide microsatellites. Three contained 2 dinucleotide microsatellites, 6 had 2 trinucleotide repeats, 2 had 3 trinucleotide repeats, and 4 contained 2 tetranucleotide repeats. In addition, one EST each contained a di- and a tri-, a di- and 3 tri-, a di- and tetra-, and a tetra- and pentanucleotide microsatellite. Because of the high variability of microsatellites within a population, they are ideally suited for QTL analysis. Thus, these libraries not only serve as markers for general map construction but as markers that will allow the discovery of genes underlying phenotypic variation. Microsatellites found in these libraries may be particularly useful in this regard because they are actually contained within known genes. This is a distinct advantage over most microsatellites which are found in anonymous, non-coding regions and are associated with specific proteins only by virtue of physical proximity.
The generation of several thousand ESTs from reproductive tissues has significantly expanded the molecular resources available for the genus Peromyscus. This provides an invaluable resource of genetic markers for constructing genomic linkage maps of the genus, a project currently underway and partially completed by the Peromyscus Genetic Stock Center and others [[16, 17], Hoekstra personal communication]. The resulting map will better enable researchers to genetically examine phenotypes in a species displaying naturally-occurring genome variation. A Peromyscus linkage map will also provide information for studying the evolution of rodent genome organization, in particular by aiding in the reconstruction of the ancestral rodent genome. Such evolutionary insight on the functional organization of the rodent and mammalian genomes may help link abundant Mus and Rattus research to human studies. In addition, these ESTs provide a resource for informative microarray and QTL analyses and single nucleotide polymorphism discovery. These uses will be particularly informative in Peromyscus because several species are known to hybridize in the laboratory. Identification of the genetic differences between interbreeding species can further our understanding of hybrid dysgenesis and genomic imprinting [2, 25, 26]. Thus, the development of these libraries will allow Peromyscus research to answer questions that traditional Mus and Rattus models simply cannot address.
Library construction and EST isolation
Testis tissue was taken from a 6-month old sexually mature virgin male Peromyscus maniculatus bairdii and placed immediately into TRIZOL® reagent (Invitrogen Corporation). Placentas were collected from three Peromyscus maniculatus bairdii (BW), two P. polionotus subgriseus (PO), and one placenta derived from a hybridization between two subspecies, PO and P. p. leucocephalus (LS). Because Mus placentas are considered to reach maximum size and maturity at e16.5  all placentas were collected at e17 – 18 except one BW collected at e16. Placentas were mixed because P. maniculatus and P. polionotus are sister species able to interbreed and were used in several mapping panels. Thus, a library representing maximum diversity was highly desirable. Diversity was enhanced further by the inclusion of maternal decidual tissue which may be under selective pressure similar to the fetus' portion of the placenta. Results from the mapping panels indicate differences are typically single nucleotide polymorphisms which do not interfere with primer optimization and gene amplification [5, 16]. Testis RNA was sent to Amplicon Express (Pullman, WA) for cDNA library construction and placenta RNA was sent to Stratagene (La Jolla, CA). Both libraries were produced in lambda bacteriophage using the Uni-ZAP® XR vector (Stratagene, La Jolla, CA). The libraries were amplified but not normalized. Inserts were excised according to the mass excision protocol described in the Stratagene manual  and the resulting phagemids were transfected into SOLR™ Echerichia coli cells and plated on LB-Ampicillin (0.1 mg/ml) agar plates. Cells were grown in a 37°C incubator for 15 – 20 hours. Colonies were picked into 300 μl of LB-Ampicillin (0.05 mg/ml) broth in a deep-well plate and grown in a 37°C incubator with shaking overnight.
Inserts were amplified in 10 μl Polymerase Chain Reactions (PCRs) with the following concentrations: 1× PCR buffer, 1.5 mM MgCl2, 25 μg/ml Bovine Serum Albumin, 0.2 mM dNTPs, 0.4 mM forward primer, 0.4 mM reverse primer, 0.05 units Taq, and 1 μl of amplified bacteria colony. Thermal cycler conditions were: initial denaturation at 94° for 3 minutes, followed by 10 cycles of (94°C for 20 seconds, 50°C for 20 seconds, 72°C for 3 minutes 30 seconds), cycles 11 – 30 added 10 seconds/cycle to the 72°C extension, and ended at a 15°C hold.
Presence of inserts was verified on a 1% agarose gel. Colonies containing inserts were identified and their PCR products purified by combining 4 μl PCR product, 5 units Exonuclease I, and 0.75 units Shrimp Alkaline Phosphatase, and incubating at 37°C for 15 minutes, 80°C for 15 minutes, then holding at 15°C. Samples were sequenced from the 5' end using 2.0 μl purified PCR product plus 0.75 μL BigDye v3.1, 1.75 μL 5× Sequencing Dilution Buffer, 1.25 μL T3 Primer (3.3 μM), and 4.25 μL H2O. Cycling conditions were 70 cycles of 96°C for 10 seconds, 50°C for 5 seconds, and 60°C for 4 minutes, ending with a final hold at 15°C.
Sequencing reactions were precipitated by adding 1 μl of 1.5 M NaOAc + 250 mM EDTA, then 40 μl of cold 95% ethanol, mixing, and placing on ice for 15 minutes. Samples were centrifuged at 1,500 × G for 45 minutes and the ethanol removed. Pellets were resuspended in Hi-Di and run on an ABI capillary sequencer (either a 3100-Avant, 3130 XL, or a 3730 XL; Applied Biosystems, Foster City, CA).
We sequenced a total of 7,387 ESTs. Removing redundant files resulted in 1,510 placenta and 4,798 testis sequences. The initial processing consisted of two steps: (1) quality control and vector cleaning, and (2) sequence clustering and contig assembling. The sequences with Phred quality values  lower than 25 were first removed from further analysis. Vector cleaning was performed using the Phrap/Cross_match/Swat software . Sequences contaminated with pBluescript vector or E. coli gene sequences were removed as were sequences with fewer than 100 good bases (i.e., quality value < 25) and sequences with more than 5% ambiguous bases (i.e., 'N').
We then used the TIGR gene index procedure (i.e. TGICL algorithm)  to cluster raw EST sequences into groups of highly related sequences, possibly a family of genes, and then to assemble those sequences into contigs consisting of the longest non-redundant stretch of the multiply aligned ESTs (program CAP3, included in TGICL). These contigs are likely to represent individual genes. Unlike NCBI's UniGene procedure which only gathers similar ESTs together, the TIGR gene index procedure allows clustering of ESTs based on a pre-selected criterion (base pair identity in this case). We specified that ESTs with ≥ 100 bp identity should be put together in the same cluster. However, multiple contigs within a cluster were possible if there was no way to assemble all similar sequences into a single contig.
EST annotation and function
We utilized the BLASTX procedure for the translated protein-protein comparison with both the Mus musculus and Rattus norvegicus Refseq databases to identify homologs. We also performed BLASTN on a limited number of ESTs and the results were identical. BLASTN was used because some EST sequences may have contained only untranslated regions and therefore would not have shown up on BLASTX searches. Only matches with an e-value ≤ 10 were considered significant.
A Chi-square goodness-of-fit test (Proc FREQ)  was used to determine if the number of ESTs on each rat chromosome was equal to the number expected. Expected numbers of proteins for each Rattus chromosome were taken from a count of protein accession numbers from the rat protein RefSeq database . By this count, the Rattus genome contains 34,738 proteins with known chromosomal locations. By calculating the proportion of genes on each chromosome we were able to determine expected frequencies by multiplying that proportion by the total number of ESTs with known chromosomal locations for each library (N = 427 for placenta, N = 700 for testis). Probability was assigned on the basis of a 1-tailed test at P ≤ 0.05.
To determine what biological processes were associated with the identified Peromycsus ESTs, we analyzed the mouse and rat homologous gene lists using an online gene ontology analysis tool, FatiGO . We assigned gene ontologies using the fourth level of increasing specificity.
Primer design and use of ESTs in mapping
Because of the similarity of the Peromyscus genome to the rat genome, we identified regions of the rat genome for which we wanted markers, spacing markers ca. 15 – 20 Mb apart. Based on BLASTX results, we identified ESTs in those regions and re-BLASTed to the Mus genome (NCBI Build 36) using the Map Viewer option on the National Center for Biotechnology Information website . We chose to BLAST to Mus instead of Rattus because of the greater abundance of annotated Mus sequence. We also used regular megablast instead of the cross-species megablast to be conservative in our gene assignments. The Map Viewer option allowed us 1) to identify which ESTs matched the expected protein only, thus limiting non-specificity of primers, and 2) to easily identify locations and sizes of introns.
Choosing good candidates for primer design was further limited to those ESTs which spanned a 300 – 1000 bp intron in Mus or for which ≥ 500 bp of the EST occurred in an untranslated region. Because introns and untranslated regions are not always well-conserved across species, these criteria maximized the possibility of amplifying a PCR fragment small enough to be sequenced from both ends with overlap, but large enough to increase the likelihood of finding interspecific single nucleotide polymorphisms (SNPs) which could be exploited in an interspecific backcross panel. Once these regions were identified, we designed primers using Oligo 6.0 (Molecular Biology Insights, Inc.).
The mapping panel was made from offspring of P. maniculatus (BW) × P. polionotus (PO) F1 hybrid males backcrossed to BW females. The panel was comprised of four unrelated families, three of which contributed 22 offspring each to the panel and the fourth contributed 20 offspring for a total panel size of 86. All primers were optimized using BW and PO DNA from animals unrelated to the mapping panel using touchdown (TD) protocols (either TD65, TD60, or TD55) . Then, a BW and a PO PCR product were cleaned and sequenced in both forward and reverse directions in the same manner as described for "library construction and EST isolation" above. Sequences were aligned in Sequencher (GeneCodes Corporation) and SNPs identified. Because all individuals in the backcross panel had at least one BW allele we used the SNP-RFLPing program  to search for enzymes that would exploit a SNP and cut only the PO allele. PCR fragments were then amplified from the backcross panel, digested, and scored on either 2% agarose or 5% acrylamide.
All ESTs with only a single BLASTN match to the Mus genome, and therefore specific enough to be markers useful for mapping, were screened for simple sequence repeats (SSRs) using msatCommander 0.8.1 . This script searches for repeats with the lowest alphabetical designation that are unique and non-complementary. ESTs from both libraries were searched for di-, tri-, tetra-, penta-, and hexanucleotide SSRs. A minimum of 4 repeat units was required for all except dinucleotide SSRs for which a minimum of 6 repeats was specified.
This work was supported by grants from the National Science Foundation (DEB-0344710), the National Institutes of Health (P40-RR14279 and RO1-M069601), and U.S. Department of Energy (DE-FC09-07SR22506). The authors would like to thank the following people for their contributions: Dr. Paul Vrana provided the RNA for the placenta library, provided many helpful assays for typing genes on the backcross panel, and along with Dr. Hopi Hoekstra contributed financially to the generation of the testis library. Dr. Shirley Tilghman financed the placenta library, Dr. James Wang and Dr. Feng Luo provided many technical suggestions, Stephen Ficklin helped with practical issues of implementation, and S. Napier, C. Braithwaite, and H. Exeter helped with all lab work involved in generating EST sequences.
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- Husby MP, Hausbeck JS, McBee K: Chromosomal aberrancy in white-footed mice (Peromyscus leucopus) collected on abandoned coal strip mines. Environ Toxicol Chem. 1999, 18: 919-925. 10.1897/1551-5028(1999)018<0919:CAIWFM>2.3.CO;2.View ArticleGoogle Scholar
- Vrana PB, Fosella JA, Matteson P, del Rio T, O'Neill MJ, Tilghman SM: Genetic and epigenetic incompatibilities underlie hybrid dysgenesis in Peromyscus. Nat Genet. 2000, 25: 120-124. 10.1038/75518.View ArticleGoogle Scholar
- Szalai G, Duester G, Friedman R, Jia HG, Lin SP, Roe BA, Felder MR: Organization of six functional mouse alcohol dehydrogenase genes on two overlapping bacterial artificial chromosomes. Eur J Biochem. 2002, 269: 224-232. 10.1046/j.0014-2956.2001.02642.x.View ArticleGoogle Scholar
- Kramer KM, Yamamoto Y, Hoffman GE, Cushing BS: Estrogen receptor alpha and vasopressin in the paraventricular nucleus of the hypothalamus in Peromyscus. Brain Res. 2005, 1032: 154-161. 10.1016/j.brainres.2004.10.070.View ArticleGoogle Scholar
- Hoekstra HE, Hirschmann RJ, Bundey RA, Insel PA, Crossland JP: A single amino acid mutation contributes to adaptive beach mouse color pattern. Science. 2006, 313: 101-104. 10.1126/science.1126121.View ArticleGoogle Scholar
- Krugner-Higby L, Shelness GS, Holler A: Heritable, diet-induced hyperlipidemia in California mice (Peromyscus californicus) is due to increased hepatic secretion of very low density lipoprotein triacylglycerol. Comp Med. 2006, 56: 468-75.Google Scholar
- Lewis MH, Tanimura Y, Lee LW, Bodfish JW: Animal models of restricted repetitive behavior in autism. Behav Brain Res. 2007, 176: 66-74. 10.1016/j.bbr.2006.08.023.PubMed CentralView ArticleGoogle Scholar
- Storz JF, Sabatino SJ, Hoffman FG, Gering EJ, Moriyama H, Ferrand N, Monteiro B, Nachman MW: The molecular basis of high-altitude adaptation in deer mice. PLOS Genetics. 2007, 3: 448-459. 10.1371/journal.pgen.0030045.View ArticleGoogle Scholar
- Csiszar A, Labinskyy N, Zhao X, Hu F, Serpillon S, Huang Z, Ballabh P, Levy RJ, Hintze T, Wolin MS, Austad SN, Podlutsky A, Ungvari Z: Vascular superoxide and hydrogen peroxide production and oxidative stress resistance in two closely related rodent species with disparate longevity. Aging Cell. 2007, 6: 783-7. 10.1111/j.1474-9726.2007.00339.x.View ArticleGoogle Scholar
- Hjelle B, Jenison S, Torrez-Martinez N, Yamada T, Nolte K, Zumwalt R, MacInnes K, Myers G: A novel hantavirus associated with an outbreak of fatal respiratory disease in the southwestern United States: Evolutionary relationships to known hantaviruses. J Virol. 1994, 68: 592-596.PubMed CentralGoogle Scholar
- Magnarelli LA, Anderson JF, Stafford KC, Dumler JS: Antibodies to multiple tick-borne pathogens of babesiosis, ehrlichiosis, and Lyme borreliosis in white-footed mice. J Wildl Dis. 1997, 33: 466-473.View ArticleGoogle Scholar
- Lindsay LR, Barker IK, Surgeoner GA, McEwen SA, Campbell GD: Duration of Borrelia burgdorferi infectivity in white-footed mice for the tick vector Ixodes scapularis under laboratory and field conditions in Ontario. J Wildl Dis. 1997, 33: 766-775.View ArticleGoogle Scholar
- Steppan SJ, Adkins RM, Anderson J: Phylogeny and divergence-date estimates of rapid radiations in muroid rodents based on multiple nuclear genes. Syst Biol. 2004, 53: 533-553. 10.1080/10635150490468701.View ArticleGoogle Scholar
- Prince KL, Glenn TC, Dewey MJ: Cross-species amplification among peromyscines of new microsatellite DNA loci from the oldfield mouse (Peromyscus polionotus subgriseus). Mol Ecol Notes. 2002, 2: 133-136. 10.1046/j.1471-8286.2002.00175.x.View ArticleGoogle Scholar
- Mullen LM, Hirschmann RJ, Prince KL, Glenn TC, Dewey MJ, Hoekstra HE: Sixty polymorphic microsatellite markers for the oldfield mouse developed in Peromyscus polionotus and Peromyscus maniculatus. Mol Ecol Notes. 2006, 6: 36-40. 10.1111/j.1471-8286.2005.01128.x.View ArticleGoogle Scholar
- Ramsdell CM, Lewandowski AA, Weston Glenn JL, Vrana PB, O'Neill RJ, Dewey MJ: Comparative genome mapping of the deer mouse (Peromyscus maniculatus) reveals greater similarity to rat (Rattus norvegicus) than to the lab mouse (Mus musculus). BMC Evol Biol. 2008, 8: 65-10.1186/1471-2148-8-65.PubMed CentralView ArticleGoogle Scholar
- Ramsdell CM, Thames EL, Weston JL, Dewey MJ: Development of a deer mouse whole-genome radiation hybrid panel and comparative mapping of Mus chromosome 11 loci. Mammalian Genome. 2006, 17: 37-48. 10.1007/s00335-005-0051-x.View ArticleGoogle Scholar
- Gavrilets S: Rapid evolution of reproductive barriers driven by sexual conflict. Nature. 2000, 403: 886-889. 10.1038/35002564.View ArticleGoogle Scholar
- Swanson WJ, Yang Z, Wolfner MF, Aquadro CF: Positive Darwinian selection drives the evolution of several female reproductive proteins in mammals. Proc Natl Acad Sci USA. 2001, 98: 2509-2514. 10.1073/pnas.051605998.PubMed CentralView ArticleGoogle Scholar
- Mlynarski EE, Obergfell C, Ramsdell C, Dewey MJ, O'Neill MJ, O'Neill RJ: Peromyscus maniculatus and Mus musculus Synteny Map Reveals Divergent Patterns of Breakpoint Re-use in Rodentia. Cyto Genome Res.
- Graber JH, Churchill GA, Dipetrillo KJ, King BL, Petkov PM, Paigen K: Patterns and mechanisms of genome organization in the mouse. J Exp Zool. 2006, 305A: 683-688. 10.1002/jez.a.322.View ArticleGoogle Scholar
- Petkov PM, Graber JH, Churchill GA, DiPetrillo K, King BL, Paigen K: Evidence of a large-scale functional organization of mammalian chromosomes. PLoS Biology. 2007, 5: 984-10.1371/journal.pbio.0050127.View ArticleGoogle Scholar
- Khil PP, Smirnova NA, Romanienko PJ, Camerini-Otero RD: The mouse X chromosome is enriched for sex-biased genes not subject to selection by meiotic sex chromosome inactivation. Nat Genet. 2004, 36: 642-646. 10.1038/ng1368.View ArticleGoogle Scholar
- Moore T, McLellan A, Wynne F, Dockery P: Explaining the X-linkage bias of placentally expressed genes. Nat Genet. 2005, 37: 3-10.1038/ng0105-3a.View ArticleGoogle Scholar
- Duselis AR, Vrana PB: Assessment and disease comparisons of hybrid developmental defects. Hum Mol Genet. 2007, 16: 808-819. 10.1093/hmg/ddm025.View ArticleGoogle Scholar
- Duselis AR, Obergfell C, Mack JA, O'Neill MJ, Nguyen QK, O'Neill RJ, Vrana PB: Cell-Cycle and extra-cellular matrix gene expression changes during deer mouse (Peromyscus) hybrid placental development. Reprod Fertil Dev.
- Coan PM, Ferguson-Smith AC, Burton GJ: Developmental dynamics of the definitive mouse placenta assessed by stereology. Biol Reprod. 2004, 70: 1806-1813. 10.1095/biolreprod.103.024166.View ArticleGoogle Scholar
- Uni-ZAP XR Premade Library Instruction Manual. [http://www.stratagene.com/manuals/937111.pdf]
- Ewing B, Hillier L, Wendl MC, Green P: Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome Res. 1998, 8: 175-185.View ArticleGoogle Scholar
- Laboratory of Phil Green. [http://www.phrap.org]
- Pertea G, Huang XQ, Liang F, Antonescu V, Sultana R, Karamycheva S, Lee Y, White J, Cheung F, Parvizi B, Tsai J, Quackenbush J: TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets. Bioinformatics. 2003, 19: 651-2. 10.1093/bioinformatics/btg034.View ArticleGoogle Scholar
- SAS Institute Inc: SAS OnlineDoc 9.1.3. 2005, Cary, NC: SAS Institute IncGoogle Scholar
- National Center for Biotechnology Information. [http://www.ncbi.nlm.nih.gov/]
- Al-Shahrour F, Diaz-Uriarte R, Dopazo J: FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes. Bioinformatics. 2004, 20: 578-80. 10.1093/bioinformatics/btg455.View ArticleGoogle Scholar
- Don RH, Cox PT, Wainwright BJ, Baker K, Mattick JS: Touchdown PCR to circumvent spurious priming during gene amplification. Nucleic Acids Res. 1991, 19: 4008-10.1093/nar/19.14.4008.PubMed CentralView ArticleGoogle Scholar
- Chang HW, Yang CH, Chang PL, Cheng YH, Chuang LY: SNP-RFLPing: restriction enzyme mining for SNPs in genomes. BMC Genom. 2006, 7: 30-10.1186/1471-2164-7-30. [http://bio.kuas.edu.tw/snp-rflp/]View ArticleGoogle Scholar
- Faircloth BC: MSATCOMMANDER: detection of microsatellite repeat arrays and automated, locus-specific primer design. Mol Ecol Resources. 2008, 8: 92-94. 10.1111/j.1471-8286.2007.01884.x. [http://code.google.com/p/msatcommander/]View ArticleGoogle Scholar
- Li WH: Molecular Evolution. 1997, Sunderland, MA: SinauerGoogle Scholar
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