Abstract

Matrotrophic fish in the genus Poeciliopsis (Poeciliidae) have a placenta-like structure used in postfertilization maternal provisioning of the developing embryo. To understand better the structure and function of the Poeciliopsis placenta, we derived cDNA libraries from the maternal follicular placenta of 2 matrotrophic Poeciliopsis sister species, P. turneri and P. presidionis. These species inherited their placenta from a common ancestor and represent one of 3 independent origins of placentas in Poeciliopsis. Expressed sequence tags (ESTs) were generated and putative function was determined using BLASTX homology searches and Gene Ontology (GO) annotation. Reverse transcription–polymerase chain reaction was used to verify placenta tissue expression of a putative candidate gene, alpha-2 macroglobulin. In total, 1956 (71.5% of the total submitted ESTs) and 924 (71.0% of the total submitted ESTs) unique transcripts were identified for the P. turneri and P. presidionis placenta, respectively. Homology search and GO annotation revealed putative genes whose products may be involved in specific transport functions of the maternal follicle. These putative genes are excellent candidates for future research on the evolution of the placenta. We discuss our results in light of the parent–offspring conflict theory of placental evolution and in terms of the Poeciliid placenta structure and function.

Although the placenta has evolved independently in live-bearing vertebrates, including bony and cartilaginous fishes, amphibians, and reptiles (Wourms et al. 1988; Wake and Dickie 1998; Blackburn 1999; Hamlett 1999; Reznick et al. 2002), the mammalian placenta has primarily been studied. Mammalian placental adaptations include structures that facilitate the transfer of nutrients, gas exchange, and suppression of immunological interactions. Recently, work has started to identify the genes expressed in the mammalian placenta (Sood et. al. 2006). A review (Rossant and Cross 2001) identified 50 loci that regulate the development of the placenta and others have found expressed fetal genes that produce protein hormones and hemoglobin (Haig 1993; Handwerger 1999). Knox and Baker (2008) reported placental transcriptome comparisons between mouse and human, and a recent review by Frost and Moore (2010) detailed the relatively large number of imprinted genes expressed in the mouse and human placenta. Currently, genetic expression studies from nonmammalian placental organisms are missing from the literature, yet we might expect that placental organisms ranging from fish to mammals will exhibit similar functional adaptations to meet the demands of their extensive postfertilization maternal provisioning (Reznick et al. 2002). Studies of nonmammalian placental taxa will, therefore, contribute to our understanding of the evolution of this complex trait (Reznick et al. 2002).

Fish in the genus Poeciliopsis (Poeciliidae) are viviparous (live bearers), and during gestation, embryos develop within an individual maternal ovarian follicle (Turner 1940; Grove and Wourms 1983). These fish vary in their degree of maternal provisioning after fertilization (Thibault and Schultz 1978). Some Poeciliopsis species are lecithotrophic and retain yolk-rich eggs after fertilization without continued maternal nourishment. Other species are matrotrophic and display varying degrees of postfertilization maternal provisioning (Reznick et al. 2002). The structures that facilitate extensive maternal provisioning during embryonic development are the maternal follicle and the embryonic pericardial membrane (or sac) (Turner 1940). During embryonic development in matrotrophic species, the maternal follicle specializes to become a nutrient transport tissue (Turner 1940; Grove and Wourms 1983) and the embryonic pericardial membrane becomes highly vascularized (Turner 1940). Due to the functional similarity to the mammalian placenta, these structures have been termed the “pseudo-placenta” (Turner 1940). The Poeciliopsis placenta has evolved relatively rapidly, within less than 750 000 years, and independently at least 3 times within this genus (Reznick et al. 2002). This independent evolution makes Poeciliopsis an excellent system for investigating the evolution of the placenta and the genes involved in its structure and function.

To develop tools for studies on the molecular evolution of Poeciliopsis placental genes, we set out to determine the expressed genes in the Poeciliopsis placenta. A cDNA library was constructed from the maternal follicle tissue and expressed sequence tags (ESTs) were generated from 2 highly matrotrophic placental sister species, P. turneri and P. presidionis. As has been suggested for other EST projects (Parton et al. 2010; Sadd et al. 2010), these Poeciliopsis placenta EST libraries will be a valuable resource for future identification of placenta candidate genes, genes involved in the evolution of the Poeciliidae placenta, and a comparative expression analysis of candidate genes across species with varying degrees of matrotrophy.

We performed homology searches with the EST sequences using BLASTX against UniProt databases and 3 custom proteome databases. Gene Ontology (GO) annotation was used to categorize BLASTX gene names by cellular components, molecular functions, and biological processes. Tissue expression was verified by reverse transcription–polymerase chain reaction (RT-PCR) of a putative candidate gene, alpha-2 macroglobulin (A2M). We discuss our results in terms of the parent–offspring conflict theory of placental evolution (Haig 1993; Crespi and Semeniuk 2004) and with respect to the Poeciliid placenta structure and function. This is the first survey of genes expressed in the Poeciliidae placenta. The only prior work on the genetics of placentation in the Poeciliidae focused on a single candidate gene (IGF2) (Lawton et al. 2005; O'Neill et al. 2007).

Material and Methods

Fish Stocks

Poeciliopsis turneri and P. presidionis fish are sister species with high levels of matrophy (embryos display a 41.4 to 21.5-fold increase, respectively, in dry mass between fertilization and birth) and well-defined extensive maternal follicular placenta tissue (Reznick et al. 2002). Reznick et al. (2002) concluded that P. turneri and P. presidionis inherited their placenta from a common ancestor and that they represent one of the 3 independent origins of placentas in the genus Poeciliopsis. Both species came from well-established breeding colonies at the University of California, Riverside (Reznick laboratory).

Tissue Collection and cDNA Library Construction

For both species, maternal follicle tissue was dissected from embryos and frozen in liquid nitrogen. Follicle tissue from mixed stages of embryonic development was pooled and homogenized in TRIzol reagent (Invitrogen). Total RNA was isolated using an acid guanidinum thiocyanate–phenol–chloroform extraction (Chomczynski and Sacchi 1987). An aliquot of total RNA was used to isolate mRNA using the Micro Fast-Track kit (Invitrogen, V2.0). cDNA library construction was carried out with the CloneMiner cDNA Library Construction Kit (Invitrogen, Version B). To ensure success in future gene classification by protein homology search and use in downstream evolutionary analysis, we did not perform normalization or subtraction methods on the cDNA library as these methods compromise the cDNA length making it more difficult to obtain full-length sequences (Bonaldo et al. 1996; Rubin et al. 2000).

Plasmid DNA Preparation and DNA Sequencing

Each species’ cDNA library was provided to Functional Biosciences, Inc. (Madison, WI) for sequencing. Colonies were grown overnight in 1 ml cultures and purified using a 96-well plate plasmid purification vacuum protocol. EST directional sequencing was performed with M13F (-20) primers and standard cycle sequencing conditions with Big Dye v3.1. Electrophoresis was done on an ABI 3730xl instrument.

Processing of Raw Sequence Data

The raw sequences from both cDNA libraries were processed with the Phred/Phrap/Consed suite (Gordon et al. 1998). The Perl script PhredPhrap, that is part of the software, was used to run the analysis pipeline with its default parameters. This included automated base calling and quality trimming with PHRED vector masking with Crossmatch and sequence assembly with PHRAP. Sequence assembly was used to form contiguous sequences (contigs) in order to reduce redundancy of our ESTs and to come closer to the full-length transcripts. Before the assembly, the ESTs were further postprocessed by removing their vector contaminants and low-quality areas at the sequence ends. This conservative strategy was chosen to maintain data consistency among the final EST set and the resulting contigs. The quality curation step was performed by identifying the longest possible sequence window that contained at most one low-quality base call with a Phred score of less than 20 per 100 hundred nucleotides. Vector and quality trimmed ESTs with less than 150 bp in length were excluded from the assembly and the downstream annotation steps. The resulting EST set was submitted to NCBI under the GenBank accession numbers H0910775-HO914683 and HO914684-HO914810.

Sequence Annotations

Singlet (ESTs that do not assemble into contiguous sequences) and contig sequences (ESTs assembled into contiguous sequences) were functionally annotated using translated BLASTX searches against the UniProt database (release 15.14) with an E value of 1 × 10−6 as the cutoff (Altschul et al. 1997; Leinonen et al. 2004). Similarly, ortholog sequences in other fish species were identified by BLASTX searches against the proteomes of the fully sequenced genomes of Takifugu rubripes (Fugu, Ensembl Version v4.56), Danio rerio (Zebrafish, Ensembl Version v8.56) and the proteome encoded by the mitochondrial genome from Fundulus heteroclitus (downloaded from NCBI). Preliminary GO annotations were obtained by using the corresponding annotations from SwissProt. This database was chosen for this step because it is well annotated and a representable number of ESTs in our libraries showed matches in this database. The GO terms from the best ranking BLAST hit were assigned to the ESTs. GO slim term analysis was performed to provide a summary by counting statistics of sequences falling into general functional, cellular, and biological categories. A slightly modified version of the GO slim term set from Drosophila (http://www.geneontology.org/GO.slims.shtml) was used for this analysis. This GO slim set was chosen because it included many daughter terms of interest.

Confirmation of Expression in Placenta Tissue

To confirm follicular tissue EST expression, we performed a 2-step RT-PCR. Total RNA was extracted from the maternal follicle of pregnant adult females. Tissue was homogenized with a rotor–stator homogenizer and lysed in a lysis buffer plus β-mercaptoethanol (GE Healthcare illustra RNASpin Mini kit). Total RNA isolation and cleanup was carried out using the illustra RNASpin Mini protocol following homogenization. An aliquot of RNA was treated with DNAse enzyme (Ambion DNA-free; Applied Biosystems, Austin, TX). Random hexamer and Oligo(dT) primed cDNA was synthesized using RNase H+ MMLV Reverse Transcriptase following the iSCRIPT protocol (BioRad, Hercules, CA). A PCR reaction was run with gene-specific primers (see below) and cDNA template.

Primers were designed to amplify a 271 bp region of the putative A2M gene identified from BLASTX results for the assembled libraries. A2M primers included the oligonucleotides, 5′-GACCAAAGCGCTCACTCTTC-3′ (forward) and 5′-GAGACCAGATCCCAGATCCA-3′ (reverse) and were designed from the P. turneri contig that showed significant (E value < 1 × 10−6) homology to A2M. A reference gene, β-actin, was chosen as a positive control for tissue expression (Lawton et al. 2005). The β-actin primers were designed for quantitative RT-PCR research involving Poeciliopsis prolifica, a close relative to both P. turneri and P. presidionis (see Lawton et al. 2005). RT-PCR products were visualized on a 2% agarose ethidium bromide gel and sequence verified for a subset of samples. To ensure the amplified product is from cDNA, and not genomic DNA contamination, we treated total RNA with DNAse enzyme (Ambion DNA-free; Applied Biosystems, Austin, TX) prior to cDNA synthesis and ran the appropriate negative reverse transcriptase control reactions (reverse transcription reaction with tissue-specific RNA minus the reverse transcriptase enzyme) for each tissue and primer pair.

Results

P. turneri and P. presidionis Sequence Assembly and Annotation

For the P. turneri library, a total of 3168 ESTs were processed and 2735 of these processed ESTs were submitted sequences after trimming and filtering (as described in Materials and Methods). For the P. presidionis library, 1548 ESTs were processed and 1301 sequences were submitted after trimming and filtering. An overview of the EST assembly for both species is summarized in Table 1. The percent of ESTs (of the total submitted) that did not assemble into contigs (singletons) is similar for both species—63.9% and 60.8% for P. turneri and P. presidionis, respectively.

Table 1

An overview of the Poceiliopsis maternal follicle EST sequence assembly and functional annotation for P. turneri and P. presidionis

 P. turneri P. presidionis 
Sequence assembly   
    Average EST lengtha 658.9 bp 566.7 bp 
    Contigsb assembled 208 from 983 ESTs 133 from 508 ESTs 
    Range in the number of ESTs that compose a contig 2 to 137 2 to 72 
    Range in contig length 436 to 5292 bp 301 to 2702 bp 
    Number of singletonsc 1748 791 
Sequence annotationd 
    Number of unique sequences representing gene transcriptse 1956 924 
    Number unknown sequences (no BLASTX match) 945 514 
    Number singlets and contigs mapped to custom databases 830 and 181 303 and 107 
    Number singlets and contigs mapped to UniProt/SwissProt 477 and 86 171 and 52 
 P. turneri P. presidionis 
Sequence assembly   
    Average EST lengtha 658.9 bp 566.7 bp 
    Contigsb assembled 208 from 983 ESTs 133 from 508 ESTs 
    Range in the number of ESTs that compose a contig 2 to 137 2 to 72 
    Range in contig length 436 to 5292 bp 301 to 2702 bp 
    Number of singletonsc 1748 791 
Sequence annotationd 
    Number of unique sequences representing gene transcriptse 1956 924 
    Number unknown sequences (no BLASTX match) 945 514 
    Number singlets and contigs mapped to custom databases 830 and 181 303 and 107 
    Number singlets and contigs mapped to UniProt/SwissProt 477 and 86 171 and 52 

These data are based on the total number of submitted EST sequences after trimming and filtering (2735 and 1301 sequences for P. turneri and P. presidionis, respectively).

a

This is the average EST length after trimming and filtering of EST sequences (see Materials and Methods).

b

Contig refers to ESTs that assembled into contiguous sequences.

c

Singletons refer to ESTs that did not assemble into contiguous sequences.

d

Functional annotation with BLASTX searches against UniPort databases and published fish proteomes.

e

Combined Contig and Singlets.

Table 1

An overview of the Poceiliopsis maternal follicle EST sequence assembly and functional annotation for P. turneri and P. presidionis

 P. turneri P. presidionis 
Sequence assembly   
    Average EST lengtha 658.9 bp 566.7 bp 
    Contigsb assembled 208 from 983 ESTs 133 from 508 ESTs 
    Range in the number of ESTs that compose a contig 2 to 137 2 to 72 
    Range in contig length 436 to 5292 bp 301 to 2702 bp 
    Number of singletonsc 1748 791 
Sequence annotationd 
    Number of unique sequences representing gene transcriptse 1956 924 
    Number unknown sequences (no BLASTX match) 945 514 
    Number singlets and contigs mapped to custom databases 830 and 181 303 and 107 
    Number singlets and contigs mapped to UniProt/SwissProt 477 and 86 171 and 52 
 P. turneri P. presidionis 
Sequence assembly   
    Average EST lengtha 658.9 bp 566.7 bp 
    Contigsb assembled 208 from 983 ESTs 133 from 508 ESTs 
    Range in the number of ESTs that compose a contig 2 to 137 2 to 72 
    Range in contig length 436 to 5292 bp 301 to 2702 bp 
    Number of singletonsc 1748 791 
Sequence annotationd 
    Number of unique sequences representing gene transcriptse 1956 924 
    Number unknown sequences (no BLASTX match) 945 514 
    Number singlets and contigs mapped to custom databases 830 and 181 303 and 107 
    Number singlets and contigs mapped to UniProt/SwissProt 477 and 86 171 and 52 

These data are based on the total number of submitted EST sequences after trimming and filtering (2735 and 1301 sequences for P. turneri and P. presidionis, respectively).

a

This is the average EST length after trimming and filtering of EST sequences (see Materials and Methods).

b

Contig refers to ESTs that assembled into contiguous sequences.

c

Singletons refer to ESTs that did not assemble into contiguous sequences.

d

Functional annotation with BLASTX searches against UniPort databases and published fish proteomes.

e

Combined Contig and Singlets.

For both species, BLASTX searches against the UniProt database (release 15.14; E ≤ 1 × 10−6) and published fish proteomes were used for functional annotation and ortholog analysis of singlets and contigs (see Materials and Methods) and the results are summarized in Table 1. Of the submitted ESTs, the percent of identified putative gene transcripts was similar for both species (P. turneri = 71.5% and P. presidionis = 71.0%). The number of unique transcripts with an E value BLASTX result of smaller than or equal to ×10−100 was 163 for P. turneri and 74 for P. presidionis (Supplementary Table 1). The percent of gene transcripts (singlets plus contigs) to map to the custom databases (UniProt and published fish proteomes) was 51.7% for P. turneri and 44.4% for P. presidionis. Of the total putative gene transcripts, 48.3% (945 of 1956 sequences) and 55.6% (514 of 924 sequences) were identified as unknown sequences (no BLASTX match) for P. turneri and P. presidionis, respectively (Table 1). The dissimilarity in the percent of unknown sequences between the 2 species is likely due to a difference in the total number of ESTs analyzed per library. The percent of unknown sequences we found for both libraries is slightly higher but close to what has been reported for other EST libraries (e.g., Bombus terrestris thorax and abdomen EST library, 41.2% no “hits,” Sadd et al. 2010). In our case, this result may represent the tissue-specific nature of the libraries and the constraint of using species in the reference databases that are, relatively, not very closely related.

Gene Ontology Analysis

Preliminary GO annotations and GO slim term analysis was performed as described in the Materials and Methods. The number of BLASTX hits in the preliminary GO annotation was 1308 for P. turneri and 568 for P. presidionis. These were further designated to 3 standard parent categories (biological processes, molecular functions, and cellular components) and summarized according to GO slim terms. Overall, there was considerable similarity between the 2 species in the number of represented sequences in the GO annotations and functional analysis (Tables 2, 3, and 4). Table 2 summarizes assignments for the classification of molecular function. The highest represented category for both species was the binding process (P. turneri: 59.6% of 680 annotated sequences and P. presidionis: 48.9% of 317 annotated sequences). The main difference between the 2 species for this classification is found for the structural constituent of ribosome category, which has greater representation by P. presidionis sequences (46 of 317) than P. turneri sequences (27 of 680). Within the biological processes (Table 3), the highest number of sequences fell into the nucleic acid metabolic process for P. turneri. The highest number of sequences for P. presidionis appeared in the multicellular organismal development category. For both species, the transport biological process was highly represented (13.7% P. turneri and 11.1% P. presidionis). Several sequences for both species also appear in the biological processes of response to stress, lipid and carbohydrate metabolic process, transmembrane transport, response to hormone stimulus, defense response, and angiogenesis. All these categories are ones we might expect to be associated with tissues that serve a placental-like function (see Discussion). Table 4 reveals the assignments for the cellular component category. Overall, 1385 annotated sequences are identified for P. turneri and 576 annotated sequences are identified for P. presidionis. The main category represented by both libraries is that of intracellular proteins (P. turneri 31% and P. presidionis 31.4%). One term, synaptic vesicle, was represented in the P. turneri but not in the P. presidionis identified sequences. Similar to the GO molecular function analysis, sequences that correspond to a ribosome or ribosome-related protein appear more in the P. presidionis library than in the P. turneri library. It is important to note that because the GO terms are hierarchical the number of sequences will vary among parent classifications (Dean et al. 2009; Parton et al. 2010).

Table 2

The number and percent of annotated sequences assigned to a GO molecular function classification for the Poceiliopsis turneri and P. presidionis maternal follicle cDNA library

Molecular function GO ID P. turneri
 
P. presidionis
 
Number from 680 annotated sequences Percent of 680 annotated sequences Number from 317 annotated sequences Percent of 317 annotated sequences 
Binding GO: 0005488 405 59.6 155 48.9 
Structural molecule activity GO:0005198 44 6.5 54 17.0 
Transporter activity GO:0005215 34 5.0 13 4.1 
Signal transducer activity GO:0004871 32 4.7 2.8 
Structural constituent of ribosome GO:0003735 27 4.0 46 14.5 
Protein kinase activity GO:0004672 23 3.4 1.6 
Peptidase activity GO:0008233 22 3.2 0.9 
Actin binding GO:0003779 17 2.5 2.2 
Transcription factor binding GO:0008134 15 2.2 0.6 
Transcription factor activity GO:0003700 13 1.9 0.9 
Enzyme activator activity GO:0008047 13 1.9 0.9 
Translation factor activity, nucleic acid binding GO:0008135 12 1.8 2.2 
Enzyme inhibitor activity GO:0004857 1.0 1.3 
Phosphoprotein phosphatase activity GO:0004721 0.9 1.3 
Receptor signaling protein activity GO:0005057 0.9 0.3 
Motor activity GO:0003774 0.6 0.3 
Molecular function GO ID P. turneri
 
P. presidionis
 
Number from 680 annotated sequences Percent of 680 annotated sequences Number from 317 annotated sequences Percent of 317 annotated sequences 
Binding GO: 0005488 405 59.6 155 48.9 
Structural molecule activity GO:0005198 44 6.5 54 17.0 
Transporter activity GO:0005215 34 5.0 13 4.1 
Signal transducer activity GO:0004871 32 4.7 2.8 
Structural constituent of ribosome GO:0003735 27 4.0 46 14.5 
Protein kinase activity GO:0004672 23 3.4 1.6 
Peptidase activity GO:0008233 22 3.2 0.9 
Actin binding GO:0003779 17 2.5 2.2 
Transcription factor binding GO:0008134 15 2.2 0.6 
Transcription factor activity GO:0003700 13 1.9 0.9 
Enzyme activator activity GO:0008047 13 1.9 0.9 
Translation factor activity, nucleic acid binding GO:0008135 12 1.8 2.2 
Enzyme inhibitor activity GO:0004857 1.0 1.3 
Phosphoprotein phosphatase activity GO:0004721 0.9 1.3 
Receptor signaling protein activity GO:0005057 0.9 0.3 
Motor activity GO:0003774 0.6 0.3 

A slightly modified version of the GO slim term set from Drosophila (http://www.geneontology.org/GO.slims.shtml) was used in this analysis. GO ID represents the GO ID number.

Table 2

The number and percent of annotated sequences assigned to a GO molecular function classification for the Poceiliopsis turneri and P. presidionis maternal follicle cDNA library

Molecular function GO ID P. turneri
 
P. presidionis
 
Number from 680 annotated sequences Percent of 680 annotated sequences Number from 317 annotated sequences Percent of 317 annotated sequences 
Binding GO: 0005488 405 59.6 155 48.9 
Structural molecule activity GO:0005198 44 6.5 54 17.0 
Transporter activity GO:0005215 34 5.0 13 4.1 
Signal transducer activity GO:0004871 32 4.7 2.8 
Structural constituent of ribosome GO:0003735 27 4.0 46 14.5 
Protein kinase activity GO:0004672 23 3.4 1.6 
Peptidase activity GO:0008233 22 3.2 0.9 
Actin binding GO:0003779 17 2.5 2.2 
Transcription factor binding GO:0008134 15 2.2 0.6 
Transcription factor activity GO:0003700 13 1.9 0.9 
Enzyme activator activity GO:0008047 13 1.9 0.9 
Translation factor activity, nucleic acid binding GO:0008135 12 1.8 2.2 
Enzyme inhibitor activity GO:0004857 1.0 1.3 
Phosphoprotein phosphatase activity GO:0004721 0.9 1.3 
Receptor signaling protein activity GO:0005057 0.9 0.3 
Motor activity GO:0003774 0.6 0.3 
Molecular function GO ID P. turneri
 
P. presidionis
 
Number from 680 annotated sequences Percent of 680 annotated sequences Number from 317 annotated sequences Percent of 317 annotated sequences 
Binding GO: 0005488 405 59.6 155 48.9 
Structural molecule activity GO:0005198 44 6.5 54 17.0 
Transporter activity GO:0005215 34 5.0 13 4.1 
Signal transducer activity GO:0004871 32 4.7 2.8 
Structural constituent of ribosome GO:0003735 27 4.0 46 14.5 
Protein kinase activity GO:0004672 23 3.4 1.6 
Peptidase activity GO:0008233 22 3.2 0.9 
Actin binding GO:0003779 17 2.5 2.2 
Transcription factor binding GO:0008134 15 2.2 0.6 
Transcription factor activity GO:0003700 13 1.9 0.9 
Enzyme activator activity GO:0008047 13 1.9 0.9 
Translation factor activity, nucleic acid binding GO:0008135 12 1.8 2.2 
Enzyme inhibitor activity GO:0004857 1.0 1.3 
Phosphoprotein phosphatase activity GO:0004721 0.9 1.3 
Receptor signaling protein activity GO:0005057 0.9 0.3 
Motor activity GO:0003774 0.6 0.3 

A slightly modified version of the GO slim term set from Drosophila (http://www.geneontology.org/GO.slims.shtml) was used in this analysis. GO ID represents the GO ID number.

Table 3

The number and percent of annotated sequences assigned to a GO Biological Process classification for the Poceiliopsis turneri and P. presidionis maternal follicle cDNA library

Biological process GO ID P. turneri
 
P. presidionis
 
Number from 801 annotated sequences Percent of 801 annotated sequences Number from 271 annotated sequences Percent of 271 annotated sequences 
Nucleobase, nucleoside, nucleotide, and nucleic acid metabolic process GO:0006139 125 15.6 33 12.2 
Transport GO:0006810 110 13.7 30 11.1 
Multicellular organismal development GO:0007275 72 9.0 36 13.3 
Organelle organization GO:0006996 66 8.2 24 8.9 
Transcription GO:0006350 63 7.9 14 5.2 
Response to stress GO:0006950 53 6.6 12 4.4 
Cell cycle GO:0007049 45 5.6 18 6.6 
Cell communication GO:0007154 39 4.9 12 4.4 
Cell death GO:0008219 27 3.4 11 4.1 
Lipid metabolic process GO:0006629 23 2.9 3.0 
Carbohydrate metabolic process GO:0005975 21 2.6 3.0 
Intracellular protein transport GO:0006886 21 2.6 1.1 
Cell proliferation GO:0008283 20 2.5 15 5.5 
Transmembrane transport GO:0055085 20 2.5 2.2 
Cellular component movement GO:0006928 18 2.2 10 3.7 
Generation of precursor metabolites and energy GO:0006091 16 2.0 3.0 
Cellular amino acid and derivative metabolic process GO:0006519 13 1.6 3.0 
Response to hormone stimulus GO:0009725 12 1.5 1.1 
Behavior GO:0007610 10 1.2 0.7 
Sensory perception GO:0007600 1.1 1.1 
Defense response GO:0006952 1.0 1.1 
Cellular ion homeostasis GO:0006873 0.9 0.4 
Angiogenesis GO:0001525 0.4 1.1 
Biological process GO ID P. turneri
 
P. presidionis
 
Number from 801 annotated sequences Percent of 801 annotated sequences Number from 271 annotated sequences Percent of 271 annotated sequences 
Nucleobase, nucleoside, nucleotide, and nucleic acid metabolic process GO:0006139 125 15.6 33 12.2 
Transport GO:0006810 110 13.7 30 11.1 
Multicellular organismal development GO:0007275 72 9.0 36 13.3 
Organelle organization GO:0006996 66 8.2 24 8.9 
Transcription GO:0006350 63 7.9 14 5.2 
Response to stress GO:0006950 53 6.6 12 4.4 
Cell cycle GO:0007049 45 5.6 18 6.6 
Cell communication GO:0007154 39 4.9 12 4.4 
Cell death GO:0008219 27 3.4 11 4.1 
Lipid metabolic process GO:0006629 23 2.9 3.0 
Carbohydrate metabolic process GO:0005975 21 2.6 3.0 
Intracellular protein transport GO:0006886 21 2.6 1.1 
Cell proliferation GO:0008283 20 2.5 15 5.5 
Transmembrane transport GO:0055085 20 2.5 2.2 
Cellular component movement GO:0006928 18 2.2 10 3.7 
Generation of precursor metabolites and energy GO:0006091 16 2.0 3.0 
Cellular amino acid and derivative metabolic process GO:0006519 13 1.6 3.0 
Response to hormone stimulus GO:0009725 12 1.5 1.1 
Behavior GO:0007610 10 1.2 0.7 
Sensory perception GO:0007600 1.1 1.1 
Defense response GO:0006952 1.0 1.1 
Cellular ion homeostasis GO:0006873 0.9 0.4 
Angiogenesis GO:0001525 0.4 1.1 

A slightly modified version of the GO slim term set from Drosophila (http://www.geneontology.org/GO.slims.shtml) was used in this analysis. GO ID represents the GO ID number.

Table 3

The number and percent of annotated sequences assigned to a GO Biological Process classification for the Poceiliopsis turneri and P. presidionis maternal follicle cDNA library

Biological process GO ID P. turneri
 
P. presidionis
 
Number from 801 annotated sequences Percent of 801 annotated sequences Number from 271 annotated sequences Percent of 271 annotated sequences 
Nucleobase, nucleoside, nucleotide, and nucleic acid metabolic process GO:0006139 125 15.6 33 12.2 
Transport GO:0006810 110 13.7 30 11.1 
Multicellular organismal development GO:0007275 72 9.0 36 13.3 
Organelle organization GO:0006996 66 8.2 24 8.9 
Transcription GO:0006350 63 7.9 14 5.2 
Response to stress GO:0006950 53 6.6 12 4.4 
Cell cycle GO:0007049 45 5.6 18 6.6 
Cell communication GO:0007154 39 4.9 12 4.4 
Cell death GO:0008219 27 3.4 11 4.1 
Lipid metabolic process GO:0006629 23 2.9 3.0 
Carbohydrate metabolic process GO:0005975 21 2.6 3.0 
Intracellular protein transport GO:0006886 21 2.6 1.1 
Cell proliferation GO:0008283 20 2.5 15 5.5 
Transmembrane transport GO:0055085 20 2.5 2.2 
Cellular component movement GO:0006928 18 2.2 10 3.7 
Generation of precursor metabolites and energy GO:0006091 16 2.0 3.0 
Cellular amino acid and derivative metabolic process GO:0006519 13 1.6 3.0 
Response to hormone stimulus GO:0009725 12 1.5 1.1 
Behavior GO:0007610 10 1.2 0.7 
Sensory perception GO:0007600 1.1 1.1 
Defense response GO:0006952 1.0 1.1 
Cellular ion homeostasis GO:0006873 0.9 0.4 
Angiogenesis GO:0001525 0.4 1.1 
Biological process GO ID P. turneri
 
P. presidionis
 
Number from 801 annotated sequences Percent of 801 annotated sequences Number from 271 annotated sequences Percent of 271 annotated sequences 
Nucleobase, nucleoside, nucleotide, and nucleic acid metabolic process GO:0006139 125 15.6 33 12.2 
Transport GO:0006810 110 13.7 30 11.1 
Multicellular organismal development GO:0007275 72 9.0 36 13.3 
Organelle organization GO:0006996 66 8.2 24 8.9 
Transcription GO:0006350 63 7.9 14 5.2 
Response to stress GO:0006950 53 6.6 12 4.4 
Cell cycle GO:0007049 45 5.6 18 6.6 
Cell communication GO:0007154 39 4.9 12 4.4 
Cell death GO:0008219 27 3.4 11 4.1 
Lipid metabolic process GO:0006629 23 2.9 3.0 
Carbohydrate metabolic process GO:0005975 21 2.6 3.0 
Intracellular protein transport GO:0006886 21 2.6 1.1 
Cell proliferation GO:0008283 20 2.5 15 5.5 
Transmembrane transport GO:0055085 20 2.5 2.2 
Cellular component movement GO:0006928 18 2.2 10 3.7 
Generation of precursor metabolites and energy GO:0006091 16 2.0 3.0 
Cellular amino acid and derivative metabolic process GO:0006519 13 1.6 3.0 
Response to hormone stimulus GO:0009725 12 1.5 1.1 
Behavior GO:0007610 10 1.2 0.7 
Sensory perception GO:0007600 1.1 1.1 
Defense response GO:0006952 1.0 1.1 
Cellular ion homeostasis GO:0006873 0.9 0.4 
Angiogenesis GO:0001525 0.4 1.1 

A slightly modified version of the GO slim term set from Drosophila (http://www.geneontology.org/GO.slims.shtml) was used in this analysis. GO ID represents the GO ID number.

Table 4

The number and percent of total identified sequences assigned to a GO cellular component classification for the Poceiliopsis turneri and P. presidionis maternal follicle cDNA library

Cellular component GO ID P. turneri
 
P. presidionis
 
Number from 1385 annotated sequences Percent of 1385 annotated sequences Number from 576 annotated sequences Percent of 576 annotated sequences 
Intracellular GO:0005622 430 31.0 181 31.4 
Cytoplasm GO:0005737 347 25.1 153 26.6 
Nucleus GO:0005634 164 11.8 57 9.9 
Plasma membrane GO:0005886 84 6.1 25 4.3 
Cytosol GO:0005829 68 4.9 36 6.3 
Mitochondrion GO:0005739 60 4.3 28 4.9 
Cytoskeleton GO:0005856 53 3.8 14 2.4 
Endoplasmic reticulum GO:0005783 49 3.5 1.6 
Extracellular region GO:0005576 39 2.8 16 2.8 
Golgi apparatus GO:0005794 35 2.5 1.0 
Ribosome GO:0005840 30 2.2 48 8.3 
Lysosome GO:0005764 15 1.1 0.2 
Centrosome GO:0005813 0.5 0.2 
Peroxisome GO:0005777 0.1 0.2 
Synaptic vesicle GO:0008021 0.1 0.0 
Cellular component GO ID P. turneri
 
P. presidionis
 
Number from 1385 annotated sequences Percent of 1385 annotated sequences Number from 576 annotated sequences Percent of 576 annotated sequences 
Intracellular GO:0005622 430 31.0 181 31.4 
Cytoplasm GO:0005737 347 25.1 153 26.6 
Nucleus GO:0005634 164 11.8 57 9.9 
Plasma membrane GO:0005886 84 6.1 25 4.3 
Cytosol GO:0005829 68 4.9 36 6.3 
Mitochondrion GO:0005739 60 4.3 28 4.9 
Cytoskeleton GO:0005856 53 3.8 14 2.4 
Endoplasmic reticulum GO:0005783 49 3.5 1.6 
Extracellular region GO:0005576 39 2.8 16 2.8 
Golgi apparatus GO:0005794 35 2.5 1.0 
Ribosome GO:0005840 30 2.2 48 8.3 
Lysosome GO:0005764 15 1.1 0.2 
Centrosome GO:0005813 0.5 0.2 
Peroxisome GO:0005777 0.1 0.2 
Synaptic vesicle GO:0008021 0.1 0.0 

A slightly modified version of the GO slim term set from Drosophila (http://www.geneontology.org/GO.slims.shtml) was used in this analysis. GO ID represents the GO ID number.

Table 4

The number and percent of total identified sequences assigned to a GO cellular component classification for the Poceiliopsis turneri and P. presidionis maternal follicle cDNA library

Cellular component GO ID P. turneri
 
P. presidionis
 
Number from 1385 annotated sequences Percent of 1385 annotated sequences Number from 576 annotated sequences Percent of 576 annotated sequences 
Intracellular GO:0005622 430 31.0 181 31.4 
Cytoplasm GO:0005737 347 25.1 153 26.6 
Nucleus GO:0005634 164 11.8 57 9.9 
Plasma membrane GO:0005886 84 6.1 25 4.3 
Cytosol GO:0005829 68 4.9 36 6.3 
Mitochondrion GO:0005739 60 4.3 28 4.9 
Cytoskeleton GO:0005856 53 3.8 14 2.4 
Endoplasmic reticulum GO:0005783 49 3.5 1.6 
Extracellular region GO:0005576 39 2.8 16 2.8 
Golgi apparatus GO:0005794 35 2.5 1.0 
Ribosome GO:0005840 30 2.2 48 8.3 
Lysosome GO:0005764 15 1.1 0.2 
Centrosome GO:0005813 0.5 0.2 
Peroxisome GO:0005777 0.1 0.2 
Synaptic vesicle GO:0008021 0.1 0.0 
Cellular component GO ID P. turneri
 
P. presidionis
 
Number from 1385 annotated sequences Percent of 1385 annotated sequences Number from 576 annotated sequences Percent of 576 annotated sequences 
Intracellular GO:0005622 430 31.0 181 31.4 
Cytoplasm GO:0005737 347 25.1 153 26.6 
Nucleus GO:0005634 164 11.8 57 9.9 
Plasma membrane GO:0005886 84 6.1 25 4.3 
Cytosol GO:0005829 68 4.9 36 6.3 
Mitochondrion GO:0005739 60 4.3 28 4.9 
Cytoskeleton GO:0005856 53 3.8 14 2.4 
Endoplasmic reticulum GO:0005783 49 3.5 1.6 
Extracellular region GO:0005576 39 2.8 16 2.8 
Golgi apparatus GO:0005794 35 2.5 1.0 
Ribosome GO:0005840 30 2.2 48 8.3 
Lysosome GO:0005764 15 1.1 0.2 
Centrosome GO:0005813 0.5 0.2 
Peroxisome GO:0005777 0.1 0.2 
Synaptic vesicle GO:0008021 0.1 0.0 

A slightly modified version of the GO slim term set from Drosophila (http://www.geneontology.org/GO.slims.shtml) was used in this analysis. GO ID represents the GO ID number.

GO annotation is a highly utilized method for classifying gene products and identifying putative gene functions for gene products derived from an EST analysis (Ashburner et al. 2000; Conesa et al. 2005; Roche et al. 2005; Botton et al. 2008; Parton et al. 2010). Our goal in the GO analysis was to better understand the functions of the proteins found in the Poeciliopsis maternal follicle and to identify candidate genes for future analysis. It is important, however, to point out that any differences between the species may change with the addition of a larger pool of ESTs. Furthermore, although the maternal follicle tissue was derived from a similar span of developmental stages for both species, any differences between the 2 libraries in the representation of one developmental stage versus another could influence the percent of GO terms identified for each species.

Verification of Maternal Follicle Expression of A2M and β-Actin

To verify tissue expression of putative transcripts identified in the cDNA library, we subjected total RNA isolated from the maternal follicle to RT-PCR using primers designed to amplify a region of the A2M and the β-actin gene (Figure 1). We chose to amplify the putative A2M gene transcript for 2 reasons. 1) BLASTX searches returned contigs from both species that showed significant (E value ≤ 1 × 10−6) homology to the A2M protein and 2) A2M has been shown to be involved in mammalian placentation and pregnancy and is, therefore, a candidate gene for future analysis of placenta evolution in Poeciliids. The β-actin gene was chosen as a positive control (Lawton et al. 2005), and a β-actin homolog is significantly (E value ≤ 1 × 10−6) represented by contigs from both libraries. We found A2M and β-actin amplification product for the maternal follicle tissue in both species (P. turneriFigure 1A, lane 2 and 3; P. presidionisFigure 1B, lane 2 and 3).

Figure 1

Verification of maternal follicle tissue expression for Poeciliopsis turneri (A) and P. presidionis (B). Lane 1 = 100 bp ladder; Lane 2 = RT-PCR of A2M amplicon; Lane 3 = RT-PCR of β-actin amplicon; Lane 4 and 5 = negative RT-PCR for A2M and β-actin, respectively (template is from a reverse transcription reaction with no reverse transcriptase, for details, see Materials and Methods).

Discussion

We have undertaken the first cDNA library construction and EST sequence annotations for the Poeciliopsis maternal follicular placenta (Table 1). This was carried out in 2 highly matrotrophic placenta species, P. turneri and P. presidionis. RT-PCR verified maternal follicle expression of 2 genes represented in both species (Figure 1). We used a BLASTX and GO annotation to reveal the putative functions of genes expressed in the maternal follicle for both species. Both species were comparable in their GO annotation (Tables 2–4) and GO terms likely to be related to the function and structure of the placenta were discovered (see below). To provide context to the GO and BLASTX results, we focus on gene annotations that represent potential candidate genes for future studies related to the function and evolution of the Poeciliid placenta. It should be noted that the functional assignments are not from direct assessment but derived from computational annotation, and it is likely that all potential functions of a gene are not completely described (Dean et al. 2009).

Candidate Genes Identified for Future Investigations Related to Maternal–Fetal Communication

Successful maintenance of pregnancy in organisms with placental-like structures will rely on signaling at the maternal–fetal interface between fetal and maternal cells (Haig 1993; Rossant and Cross 2001). In highly matrotrophic Poeciliids, the maternal–fetal interface is composed of the mother's hypertrophied follicular tissue and the embryonic pericardial membrane (or sac) (Turner 1940). In some placental fish, there is an egg envelope that surrounds the embryo and is in contact with the follicular fluid that fills the space between the follicle and egg envelope (Grove and Wourms 1994). During gestation, the structures become specialized for maternal–fetal nutrient transport. Transport structures revealed through microscopy include finger-like villi or follicular pits on the internal surface of the maternal follicle which are in contact with the embryonic surface, apical microvilli on follicular cells, blood vessels, mitochondria, coated vesicles involved in endocytosis, and a folded basal plasma membrane (predicted to enhance the transport of amino acids, fatty acids, and monosaccharides) (Turner 1940; Knight et al. 1985; Grove and Wourms 1994). Preliminary scanning electron microscopy of P. turneri has also revealed similar villi and microvilli structures on the internal surface of the maternal follicle (Panhuis TM, Tuhela-Reuning L, unpublished data). Experimental evidence of maternal–embryonic nutrient transfer has also been reported for the placental fish Heterandria formosa (Grove and Wourms 1983; Wourms et al. 1988). In H. formosa maternal molecules are speculated to cross the maternal capillary endothelium by diffusion or vesicle transport and then cross through the follicular epithelium cells (Grove and Wourms 1983, 1994). The substances that enter the intrafollicular space can then be absorbed by the embryo (Grove and Wourms 1994). Given the structure and function of the follicular placenta, it is clear that constant communication at the maternal–fetal interface occurs (Grove and Wourms 1983, 1994; Knight et al. 1985) and we would predict the presence of proteins that facilitate this transport. For both P. turneri and P. presidionis, we find the expression of genes whose protein products may be directly or indirectly involved in transport. Examples of several predicted GO categories related to these activities include membrane transport, cell division promotion, angiogenesis, and energy production. Our results for both species revealed annotated sequences that appear in GO categories relating to these activities (Tables 2–4). More detailed analysis of several of these protein products will help determine their potential role in maternal–fetal communication.

Candidate Genes Identified for Future Investigations into the Evolution of the Poeciliid Placenta

Expression of a Putative A2M Gene Product in the Poeciliopsis Placenta

Homology to the protein A2M was found in the P. turneri Contig303 (composed of 108 ESTs; Contig303 TSA accession number HP608041) and 4 P. presidionis contigs (composed of 11, 12, and 14 ESTs and a longer Contig207 composed of 29 ESTs; TSA accession number HP608042). The large number of ESTs that represent these contigs suggests a high relative level of expression in the transcripts for this gene product(s) in both libraries. BLASTX results (E value ≤ 1 × 10−6) for the P. turneri contig revealed A2M homology to published A2M sequences from several different taxa, including D. rerio (predicted A2M-like protein; accession number XP_001920744.2), Xenopus laevis (A2M-like 1; accession number NP_001128549.1), Rattus norvegicus (A2M, isoform CRA_a; accession number EDM02007), and Homo sapiens (A2M-like 1, isoform CRA_d; accession number EAW88605). Poeciliopsis presidionis contig BLASTX results were similar to the P. turneri homology searches. The putative A2M contig from both species (P. turneri Contig303 and P. presidionis Contig207) was computationally analyzed for the longest open reading frame (NCBI ORF Finder: http://www.ncbi.nlm.nih.gov/projects/gorf/, 4 November 2010) and shown to have the highly conserved thioester motif sequence (identified by Conserved Domains Database NCBI; http://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml, 4 November 2010) typical of A2M (see below; Ma et al. 2010). A preliminary comparison (NCBI BLASTN 2 Sequences, 4 November 2010) of P. turneri Contig303 versus P. presidionis Contig207 revealed 48% nucleotide coverage (Contig303 is longer, 5291 bp, than Contig207, 2695 bp) with 98% maximum nucleotide identity (E value < 1 × 10−6). The expression of A2M in the maternal follicle of both species was verified with RT-PCR (Figure 1A,B). A2M is part of the thioester-containing protein superfamily and has been isolated and characterized in many vertebrates (Starkey and Barrett 1982; Sottrup-Jensen et al. 1989; Borth 1992; Huang et al. 2000; Chang et al. 2005; ; Li and Lu 2006; Padhi et al. 2008) and invertebrates (Quigley and Armstrong 1983; Spycher et al. 1987; Iwaki et al. 1996; Zhang et al. 2007; Rosa et al. 2008; Fujito et al. 2010; Ma et al. 2010). The A2M protein is a component of the innate immune system and is a universal protease inhibitor that can also bind cytokines, growth factors, lectins, ions, and lipopolysaccharides (Gu et al. 1992; He et al. 2005; Siu et al. 2006; Ma et al. 2010). With respect to the placenta, this protein is present in both human and rat decidual tissue, and in rats, it has been shown to be a key player in limiting trophoblast invasion of the mesometrial decidua (Gu et al. 1992). In humans, the uteroplacental role for A2M is still unclear, but it is suggested to be involved in tissue remodeling (Siu et al. 2006). At this point, we can only speculate as to the role of A2M in the Poeciliopsis maternal follicle. One function may be similar to the tissue remodeling seen in human mesometrial decidua. The maternal follicle of placenta poeciliids undergoes extensive hypertrophy and specialization during gestation and becomes an important site of maternal–fetal nutrient transfer (Turner 1940; Grove and Wourms 1994). These changes could be facilitated by the presence of A2M. There is no indication of maternal tissue invasion by the conceptus in placental fish species studied so far (Knight et al. 1985; Grove and Wourms 1994), suggesting it may be unlikely that A2M is limiting physical invasion of embryonic cells; however, this awaits more detailed study in Poeciliopsis. Another possible role for A2M may be through its binding properties to cytokines, growth factors, lectins, and other substances (Gu et al. 1992, He et al. 2005; Siu et al. 2006; Ma et al. 2010). This binding may be essential for proper communication at the maternal–fetal interface and may regulate fetal manipulation that is predicted by the parent–offspring conflict (Haig 1993; see detailed discussion below). Future work on this placenta candidate gene will benefit from a complete characterization of the A2M gene product, analyzing the evolution of A2M within the poeciliid fishes, and an investigation into the expression profile of A2M in different tissue samples.

Candidate Genes Predicted to be Involved in a Parent–Offspring Conflict

The evolutionary forces driving placenta structure and function are not fully understood. One prevailing hypothesis is parent–offspring conflict, which considers the opposing interests between the maternal, embryonic, and paternal genomes (Haig 1993; Zeh DW and Zeh JA 2000; Crespi and Semeniuk 2004). For instance, the amount of resources that are in the best interest of the offspring to obtain from its mother may exceed what is in the best interest of the mother to provide to the offspring (Trivers 1974), while the fitness of the father will depend on the mating system (Haig 1993; Vrana et al. 1998). This conflict may result in a coevolutionary arms race between the genomes and has been implemented in the rapid evolution of genes associated with viviparity and placenta tissues (Zeh DW and Zeh JA 2000; Crespi and Semeniuk 2004). Although well documented in placental mammals, the parent–offspring conflict (Trivers 1974) is predicted to be a selective force in the evolution of viviparity and placentation in other taxa as well, such as reptiles, amphibians, sharks, and fish (Reznick et al. 2002; Crespi and Semeinuk 2004; O'Neill et al. 2007; Schrader and Travis 2008, 2009). Recently, work in nonmammalian placenta species has revealed that embryonic hormones may influence maternal physiology, and mothers may inflict antagonistic immune reactions onto embryos (reviewed in Crespi and Semeniuk 2004; Schrader and Travis 2009). In poeciliid fishes, experimental evidence suggests that offspring genotype influences the degree of maternal investment and that there is a trade-off between the degree of resources a mother invests into individual offspring and maternal fecundity (Schrader and Travis 2009). Both observations are consistent with a role for parent–offspring conflict in the evolution of the poeciliid placenta (Schrader and Travis 2009). Furthermore, O'Neill et al. (2007) found rapid adaptive evolution of the insulin-like growth factor II (IGF2) gene among poeciliid lineages that have evolved recent placentation. IGF2 is an imprinted gene in eutherian mammals and marsupials and this imprinted gene, along with others, potentially influences embryonic acquisition of maternally-supplied nutrients during gestation (Haig 1993; O'Neill et al. 2007; Schrader and Travis 2009; reviewed in Tycko and Morison 2002; Reik et al. 2003; Burt and Trivers 2006; Frost and Moore 2010). One hypothesized maternal counter-adaptation to the antagonistic effects of IGF2 is the expression of the insulin-like growth factor–binding protein-1 (IGFBP-1), which is a major constituent of the decidual tissue in mammals (reviewed in Haig 1993). Haig (1993) speculates that IGFBP-1 may compete with IGF2 for receptors on the trophoblast and regulate its influence on maternal tissues. In our P. turneri library, a homologue to IGFBP-1 and IGFBP-2 (also known to bind IGF2) was found (accession numbers HO912389 and HO912734, respectively). We plan to explore these candidate genes further with respect to their potential role in a parent–offspring conflict. Protein partners that are involved in a coevolutionary arms race, like IGF2 and IGFBP, are predicted to be evolving rapidly under Darwinian selection (Panhuis et al. 2006). Further screening of the P. presidionis maternal follicle tissue will also be done to determine the expression of IGFBP-1 and -2 in this species.

Other gene products in our libraries are also candidates for a potential involvement in a parent–offspring conflict. For instance, the maternal immune system plays a vital role in placentation and potentially in countering antagonistic fetal adaptations (Haig 1993). Work by Paulesu (1997) and Paulesu et al. (2008) revealed that the production of different cytokines by both the maternal and fetal placenta tissue is not unique to mammals and is present in several nonmammalian taxa as well, highlighting a potential role for cytokines in the evolution of viviparity and placentation. In both of our libraries, several annotated sequences were identified as immune/defense response genes (Table 3). In P. turneri, homologs to interleukin-8 and interleukin-6 receptor subunit beta were identified, along with MHC class I and II antigens, and several antigen processing and presenting proteins (accession numbers, HO913679, HO911132, HO911440, HO911028, HO911221, and HO913058). The identified immune products from this study will be important for future studies on the immunological mechanisms and their potential role in a parent–offspring conflict in the poeciliid placenta.

Funding

National Science Foundation (DEB-0416085 to D.N.R.).

We thank Thomas Girke and Song Bi from the University of California, Riverside IIGB Bioinformatics facility for assistance with the EST analyses.

References

Altschul
SF
Madden
TL
Schaffer
AA
Zhang
JH
Zhang
Z
Miller
W
Lipman
DJ
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Nucleic Acids Res
1997
, vol. 
25
 
17
(pg. 
3389
-
3402
)
Ashburner
M
Ball
CA
Blake
JA
Botstein
D
Butler
H
Cherry
JM
Davis
AP
Dolinski
K
Dwight
SS
Eppig
JT
, et al. 
Gene ontology: tool for the unification of biology
Nat Genet
2000
, vol. 
25
 
1
(pg. 
25
-
29
)
Blackburn
DG
Neill
EKJD
Placenta and placental analogs in reptiles and amphibians
Encyclopedia of reproduction
1999
San Diego (CA)
Academic Press
(pg. 
840
-
847
)
Bonaldo
MDF
Lennon
G
Soares
MB
Normalization and subtraction: two approaches to facilitate gene discovery
Genome Res
1996
, vol. 
6
 
9
(pg. 
791
-
806
)
Borth
W
Alpha 2-macroglobulin, a multifunctional binding-protein with targeting characteristics
FASEB J
1992
, vol. 
6
 
15
(pg. 
3345
-
3353
)
Botton
A
Galla
G
Conesa
A
Bachem
C
Ramina
A
Barcaccia
G
Large-scale gene ontology analysis of plant transcriptome-derived sequences retrieved by AFLP technology.
BMC Genomics
2008
, vol. 
9
 (pg. 
347
-
355
)
Burt
A
Trivers
R
Genes in conflict: the biology of selfish genetic elements
2006
Cambridge (MA)
The Belknap Press of Harvard University Press
Chang
MX
Nie
P
Liu
GY
Song
Y
Gao
Q
Identification of immune genes in grass carp Ctenopharyngodon idella in response to infection of the parasitic copepod Sinergasilus major
Parasitol Res
2005
, vol. 
96
 
4
(pg. 
224
-
229
)
Chomczynski
P
Sacchi
N
Single-step method of RNA isolation by acid guanidinium thiocyanate phenol chloroform extraction
Anal Biochem
1987
, vol. 
162
 
1
(pg. 
156
-
159
)
Conesa
A
Gotz
S
Garcia-Gomez
JM
Terol
J
Talon
M
Robles
M
Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research
Bioinformatics
2005
, vol. 
21
 
18
(pg. 
3674
-
3676
)
Crespi
B
Semeniuk
C
Parent–offspring conflict in the evolution of vertebrate reproductive mode
Am Nat
2004
, vol. 
163
 
5
(pg. 
635
-
653
)
Dean
MD
Clark
NL
Findlay
GD
Karn
RC
Yi
XH
Swanson
WJ
MacCoss
MJ
Nachman
MW
Proteomics and comparative genomic investigations reveal heterogeneity in evolutionary rate of male reproductive proteins in mice (Mus domesticus)
Mol Biol Evol
2009
, vol. 
26
 
8
(pg. 
1733
-
1743
)
Frost
JM
Moore
GE
The importance of imprinting in the human placenta.
PLoS Genet
2010
, vol. 
6
 
7
pg. 
e1001015
 
Fujito
NT
Sugimoto
S
Nonaka
M
Evolution of thioester-containing proteins revealed by cloning and characterization of their genes from a cnidarian sea anemone, Haliplanella lineate
Dev Comp Immunol
2010
, vol. 
34
 
7
(pg. 
775
-
784
)
Gordon
D
Abajian
C
Green
P
Consed: a graphical tool for sequence finishing
Genome Res
1998
, vol. 
8
 
3
(pg. 
195
-
202
)
Grove
BD
Wourms
JP
The role of the follicle in maternal-embryonic nutrient exchange in the viviparous fish, Heterandria formosa
Am Zool
1983
, vol. 
23
 
4
(pg. 
1017
-
1017
)
Grove
BD
Wourms
JP
Follicular placenta of the viviparous fish, Heterandria formosa: II. Ultrastructure and development of the follicular epithelium
J Morphol
1994
, vol. 
220
 
2
(pg. 
167
-
184
)
Gu
Y
Jayatilak
PG
Parmer
TG
Gauldie
J
Fey
GH
Gibori
G
Alpha 2- macroglobulin expression in the mesometrial decidua and its regulation by decidual luteotropin and prolactin
Endocrinology
1992
, vol. 
131
 
3
(pg. 
1321
-
1328
)
Haig
D
Genetic conflicts in human pregnancy
Q Rev Biol
1993
, vol. 
68
 
4
(pg. 
495
-
532
)
Hamlett
WC
Neill
EKJD
Placenta and placental analogs in elasmobranchs
Encyclopedia of reproduction
1999
San Diego (CA)
Academic Press
(pg. 
831
-
840
)
Handwerger
S
Knobil
E
Neill
JD
Placental and decidual protein hormones, human
Encyclopedia of reproduction
1999
San Diego (CA)
Academic Press
(pg. 
855
-
863
)
He
H
McCartney
DJ
Wei
QX
Esadeg
S
Zhang
JH
Foster
RA
Hayes
MA
Tayade
C
Van Leuven
F
Croy
BA
Characterization of a murine alpha 2 macroglobulin gene expressed in reproductive and cardiovascular tissue
Biol Reprod
2005
, vol. 
72
 
2
(pg. 
266
-
275
)
Huang
W
Dolmer
K
Liao
XB
Gettins
PGW
NMR solution structure of the receptor binding domain of human alpha(2)-macroglobulin
J Biol Chem
2000
, vol. 
275
 
2
(pg. 
1089
-
1094
)
Iwaki
D
Kawabata
S
Miura
Y
Kato
A
Armstrong
PB
Quigley
JP
Nielsen
KL
Dolmer
K
SottrupJensen
L
Iwanaga
S
Molecular cloning of Limulus alpha(2)-macroglobulin
Eur J Biochem
1996
, vol. 
242
 
3
(pg. 
822
-
831
)
Knight
FM
Lombardi
J
Wourms
JP
Burns
JR
Follicular placenta and embryonic growth of the viviparous four-eyed fish (Anableps)
J Morphol
1985
, vol. 
185
 
1
(pg. 
131
-
142
)
Knox
K
Baker
JC
Genomic evolution of the placenta using co-option and duplication and divergence
Genome Res
2008
, vol. 
18
 
5
(pg. 
695
-
705
)
Lawton
BR
Sevigny
L
Obergfell
C
Reznick
D
O'Neill
RJ
O'Neill
MJ
Allelic expression of IGF2 in live-bearing, matrotrophic fishes
Dev Genes Evol
2005
, vol. 
215
 
4
(pg. 
207
-
212
)
Leinonen
R
Diez
FG
Binns
D
Fleischmann
W
Lopez
R
Apweiler
R
UniProt archive
Bioinformatics
2004
, vol. 
20
 
17
(pg. 
3236
-
3237
)
Li
FL
Lu
CP
Purification and characterization of alpha(2)-macroglobulin from grass carp Ctenopharyngodon idellus: cloning a segment of the corresponding gene
Fish Shellfish Immunol
2006
, vol. 
20
 
4
(pg. 
474
-
481
)
Ma
HM
Wang
B
Zhang
JQ
Li
FH
Xiang
JH
Multiple forms of alpha-2 macroglobulin in shrimp Fenneropenaeus chinesis and their transcriptional response to WSSV or Vibrio pathogen infection
Dev Comp Immunol
2010
, vol. 
34
 
6
(pg. 
677
-
684
)
O'Neill
MJ
Lawton
BR
Mateos
M
Carone
DM
Ferreri
GC
Hrbek
T
Meredith
RW
Reznick
DN
O'Neill
RJ
Ancient and continuing Darwinian selection on insulin-like growth factor II in placental fishes
Proc Natl Acad Sci U S A
2007
, vol. 
104
 
30
(pg. 
12404
-
12409
)
Padhi
A
Buchheim
MA
Verghese
B
Dynamic evolutionary pattern of alpha(2)-macroglobulin in a model organism, the zebrafish (Danio rerio)
Mol Immunol
2008
, vol. 
45
 
11
(pg. 
3312
-
3318
)
Panhuis
T
Clark
N
Swanson
W
Rapid evolution of reproductive proteins in abalone and Drosophila
Philos Trans R Soc Lond B Biol Sci
2006
, vol. 
361
 
1466
(pg. 
261
-
268
)
Parton
A
Bayne
CJ
Barnes
DW
Analysis and functional annotation of expressed sequence tags from in vitro cell lines of elasmobranchs: spiny dogfish shark (Squalus acanthias) and little skate (Leucoraja erinacea)
Comp Biochem Physiol Part D
2010
, vol. 
5
 (pg. 
199
-
206
)
Paulesu
L
Cytokines in mammalian reproduction and speculation about their possible involvement in nonmammalian viviparity
Microsc Res Tech
1997
, vol. 
38
 
1–2
(pg. 
188
-
194
)
Paulesu
L
Jantra
S
Letta
F
Brizzi
R
Bigliardi
E
Interleukin-1 in reproductive strategies
Evol Dev
2008
, vol. 
10
 (pg. 
778
-
788
)
Quigley
JP
Armstrong
PB
An endopeptidase inhibitor, similar to mammalian alpha-2 macroglobulin, detected in the hemolymph of an invertebrate, Limulus polyphemus
J Biol Chem
1983
, vol. 
258
 
13
(pg. 
7903
-
7906
)
Reik
W
Constancia
M
Fowden
A
Anderson
N
Dean
W
Ferguson-Smith
A
Tycko
B
Sibley
C
Regulation of supply and demand for maternal nutrients in mammals by imprinted genes
J Physiol (Lond)
2003
, vol. 
547
 
1
(pg. 
35
-
44
)
Reznick
DN
Mateos
M
Springer
MS
Independent origins and rapid evolution of the placenta in the fish genus Poeciliopsis
Science
2002
, vol. 
298
 
5595
(pg. 
1018
-
1020
)
Roche
JP
Wackym
PA
Cioffi
JA
Kwitek
AE
Erbe
CB
Popper
P
In silico analysis of 2085 clones from a normalized rat vestibular periphery 3' cDNA library
Audiol Neurootol
2005
, vol. 
10
 
6
(pg. 
310
-
322
)
Rosa
RD
Perazzolo
LM
Barracco
MA
Comparison of the thioester domain and adjacent regions of the alpha2-macroglobulin from different South Atlantic crustaceans
Fish Shellfish Immunol
2008
, vol. 
24
 
2
(pg. 
257
-
259
)
Rossant
J
Cross
JC
Placental development: lessons from mouse mutants
Nat Rev Genet
2001
, vol. 
2
 
7
(pg. 
`538
-
548
)
Rubin
GM
Hong
L
Brokstein
P
Evans-Holm
M
Frise
E
Stapleton
M
Harvey
DA
A Drosophila complementary DNA resource
Science
2000
, vol. 
287
 
5461
(pg. 
2222
-
2224
)
Sadd
BM
Kube
M
Klages
S
Reinhardt
R
Schmid-Hempel
P
Analysis of a normalized expressed sequence tag (EST) library from a key pollinator the bumblebee Bombus terrestris
BMC Genomics
2010
, vol. 
11
 pg. 
110
 
Schrader
M
Travis
J
Testing the viviparity-driven-conflict hypothesis: parent–offspring conflict and the evolution of reproductive isolation in a Poeciliid fish
Am Nat
2008
, vol. 
172
 
6
(pg. 
806
-
817
)
Schrader
M
Travis
J
Do embryos influence maternal investment? Evaluating maternal-fetal coadaptation and the potential for parent–offspring conflict in a placental fish
Evolution
2009
, vol. 
63
 
11
(pg. 
2805
-
2815
)
Siu
SSN
Choy
MY
Leung
TN
Lau
TK
Lack of site-specific production of decidual alpha-2 macroglobulin in human pregnancy
J Soc Gynecol Investig
2006
, vol. 
13
 
7
(pg. 
491
-
496
)
Sood
R
Zehnder
JL
Druzin
ML
Brown
PO
Gene expression patterns in human placenta
Proc Natl Acad Sci U S A
2006
, vol. 
103
 
14
(pg. 
5478
-
5483
)
Sottrup-Jensen
L
Sand
O
Kristensen
L
Fey
GH
The alpha-2 macroglobulin bait region. Sequence diversity and localization of cleavage sites for proteinases in five mammalian alpha-2 macroglobulin
J Biol Chem
1989
, vol. 
264
 
27
(pg. 
15781
-
15789
)
Spycher
SE
Arya
S
Isenman
DE
Painter
RH
A functional, thioester-containing alpha-2 macroglobulin homolog isolated from the hemolymph of the American lobster (Homarus americanus)
J Biol Chem
1987
, vol. 
262
 
30
(pg. 
14606
-
14611
)
Starkey
PM
Barrett
AJ
Evolution of alpha-2 macroglobulin: the demonstration in a variety of vertebrate species of a protein resembling human alpha-2 macroglobulin
Biochem J
1982
, vol. 
205
 
1
(pg. 
91
-
95
)
Thibault
RE
Schultz
RJ
Reproductive adaptations among viviparous fishes (Cyprinodontifores poeciliidae)
Evolution
1978
, vol. 
32
 
2
(pg. 
320
-
333
)
Trivers
RL
Parent–offspring conflict
Am Zoo
1974
, vol. 
14
 
1
(pg. 
249
-
264
)
Turner
CL
Pseudoamnion, pseudochorion, and follicular pseudoplacenta in poeciliid fishes
J Morphol
1940
, vol. 
67
 (pg. 
59
-
87
)
Tycko
B
Morison
IM
Physiological functions of imprinted genes
J Cell Physiol
2002
, vol. 
192
 
3
(pg. 
245
-
258
)
Vrana
PB
Guan
X-J
Ingram
RS
Tilghman
SM
Genomic imprinting is disrupted in interspecific Peromyscus hybrids
Nat Genet
1998
, vol. 
20
 (pg. 
362
-
368
)
Wake
MH
Dickie
R
Oviduct structure and function and reproductive modes in amphibians
J Exp Zool
1998
, vol. 
282
 
4–5
(pg. 
477
-
506
)
Wourms
JP
Grove
BD
Lombardi
J
Hoar
WS
Randall
DJ
The maternal-embryonic relationship of viviparous fishes
Fish physiology
1988
Orlando (FL)
Academic Press
(pg. 
1
-
134
)
Zeh
DW
Zeh
JA
Reproductive mode and speciation: the viviparity-driven conflict hypothesis
BioEssays
2000
, vol. 
22
 
10
(pg. 
938
-
946
)
Zhang
H
Song
LS
Li
CH
Zhao
JM
Wang
H
Gao
Q
Xu
W
Molecular cloning and characterization of a thioester-containing protein from Zhikong scallop Chlamys farreri
Mol Immunol
2007
, vol. 
44
 
14
(pg. 
3492
-
3500
)

Author notes

Corresponding Editor: William Murphy

Supplementary data