Background

The intimate interaction between the environment and the organism can be profound; ambient environmental stimuli, such as temperature, are powerful catalysts for biomolecular movement and development that manifest as permanent biological changes. Such is the case for temperature-dependent sex determination (TSD), in which the sexual fates of organisms are seemingly determined not by genotypic factors, but by environmental temperature during a specific embryonic period known as the temperature sensitive period (TSP). In vertebrates, TSD has been observed primarily in reptiles, and the bipotential gonad itself is thought to be receptive to thermal signals [1–3]. However, mechanistic details of this interaction between environmental temperature and TSD transcriptional profile cascade have remained unclear. While many past reports have focused on conserved genes with known function in sexual differentiation across vertebrates, such as AMH, CYP19A1, and SOX9 [4–6], very few other genes have been closely investigated, leading to a limited understanding of overall gene expression throughout TSD. Critical questions, such as how the developing gonad translates temperature cues into specific biochemical signals, remain unanswered.

Several hypotheses accounting for the molecular mechanism underlying TSD have been proposed. Steroid hormone involvement has long been suspected to play a role in TSD, as these molecules are known to play a critical role in sex differentiation in non-mammalian vertebrates [7]. Furthermore, glucocorticoid has been demonstrated to induce sex reversal in various vertebrate species including reptiles [8, 9], though how the syntheses of steroid hormones are regulated by temperature remain unanswered. Another major mode of biological response to temperature is epigenetic modification; mounting evidence points toward an involvement of epigenetic modifications in sexual development [10]. Past studies reported sexually dimorphic DNA methylation patterns in promoter regions of major sexual development genes in a temperature specific manner, including TSD organisms [11–13]. Other factors often associated with temperature stress, such as heat shock proteins (HSPs) and cold inducible RNA binding proteins (CIRBPs), have also been suggested to play a role in TSD [14, 15]. These varying responses to thermal influences at multiple levels ultimately result in a highly receptive regulatory network that underlies multitudes of cellular processes. Thus, the effect of temperature on the molecular environment can be profound and far-reaching, and consequently, there is crucial need to gain a comprehensive picture in order to fully understand the molecular mechanisms underlying TSD.

Crocodilians are thought to be entirely composed of TSD species [16], which includes the American alligator, Alligator mississippiensis [17]. In A. mississippiensis TSD, the sexual fates of bipotential gonads are directed in a temperature-dependent manner to differentiate into either testes at a male producing temperature (MPT) at 33.5 °C, or into ovaries at female producing temperature (FPT) at 30 °C or 34.5 °C [16, 18]. A recent report shows that sex determination in alligator embryo is thermosensitive as early as stage 15 (Ferguson developmental stage), approximately 18-20 days after oviposition [19, 20]. Prior to this report, however, the TSP was defined as occurring during stages 21-24, roughly between 31 and 46 days after oviposition. It is during this later period (stages 21-24) that temperature effects are reflected in the gonadal development, and many of the key sex determination/differentiation genes acquire sexually dimorphic expression patterns [4–6, 16, 19]. The timing of developmental stages and whole-body morphological growth is also greatly influenced by temperature during embryogenesis in the long term [21]. Unfortunately, an effective method to perform gene manipulation is not currently feasible in alligators, and options are limited for detailed studies. This holds true with many of other reptiles and hence, much of the sex determination mechanisms studies in this evolutionary pivotal clade has been primarily resolved through comparative analyses with mammalian or avian sex determination mechanisms.

With rapidly emerging next generation sequencing technologies, global transcriptome studies such as high-throughput RNA sequencing (RNA-seq) is becoming readily available for non-model organisms [22, 23]. In addition, a number of reptilian genomes have become publicly available [24–26], and comprehensive annotated crocodilian genome assemblies have been released on the National Center for Biotechnology Information (NCBI) [24, 27]. As one of the first TSD species with a published genome, the alligator A. mississippiensis is an ideal species for studying molecular signaling cascades and gene expression networks during sex determination in TSD species.

In this study, RNA-seq analyses were performed on developing alligator embryonic gonads incubated under MPT or FPT conditions and sampled at various time points to assess transcriptome changes related to each temperature condition during gonadal differentiation. We present an initial investigation into the sexual development cascade within the alligator TSD system, and provide descriptive data on expression patterns during early sexual development, with the emphasis on the identification of novel candidate genes that might account for alligator sex determination. To our knowledge, this is the first whole transcriptome analysis performed on a TSD organism. These results should allow for insights into the early progression of testis and ovarian fate, and provide a foundation for better understanding the genetic programs driving vertebrate TSD.

Results and discussion

Experimental design and sequence assembly

For sample preparation for transcriptome analyses, field collected A. mississippiensis eggs were transported to the laboratory and incubated under FPT (30 °C) until Ferguson developmental stage 19 [20], a period in which the gonads are still bipotential and morphologically indistinguishable. At stage 19, a subset of eggs was shifted to MPT (33.5 °C) while the remaining eggs were maintained at FPT for the subsequent incubation period (Fig. 1). Incubations at high FPT (34.5 °C) were not performed in the current study. Tissues comprising the developing gonad were carefully dissected at multiple time points after stage 19; at Day 0, 3, 6, and 12 post-stage 19 for analysis on sex determination cascade. The samples represent the bipotential gonad prior to incubation temperature shift (Day 0), post temperature shift (Day 3), and during sexual fate commitment and differentiation (Day 6, 12). Although the embryos are incubated under different temperatures, the embryonic staging indicate that at least until Day 12 the embryos at respective time points are at within same developmental stage, and confounding variables by differential temperature effects are minimized [28]. In addition to Day 0-12 (sex determination phase), gonads from Day 18, 24, 30, and 36 post-stage 19 were also sampled (sex differentiation phase), although Day 36 was sampled in FPT only (Additional file 1). Illumina HiSeq2500 sequencing produced a total of 375.2 million paired-end reads (2 × 101 bp) and were assessed for quality. The reads were mapped to the alligator genome assembly (allMis0.2), using the latest NCBI annotation available at the time (NCBI Alligator mississippiensis Annotation Release 100). The average mapping rates was 88.3 %, among which 94.8 % of the mapped reads were single hits, indicating an overall relatively good quality of reads.

Fig. 1
figure 1

Experimental design. Experimental design of the RNA-seq analysis is illustrated. Bipotential, sex fate commitment and sex differentiation period are indicated, with temperature sensitive period (TSP; indicated in light brown). The dotted line represents the end of the TSP. Eggs were first incubated under female producing temperature (FPT; indicated in red) until just prior to the onset of sexual differentiation (stage 19; Day 0), which were then either shifted to male producing temperature (MPT; indicated in blue) or kept at FPT. Gonadal regions were sampled from individuals at several subsequent time points (Day 3, 6, 12) with corresponding approximate developmental stage (Ferguson) displayed in the bottom table. Day 0–12 represents the timing of sexual differentiation, and three individuals per temperature condition per time points are used

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Transcriptome characterization of alligator gonadal development

Differentially expressed gene (DEG) analysis was performed using Cuffdiff workflow (ver 2.2.1) [29, 30] to screen DEGs with false discovery rate (FDR) adjusted p-value <0.01. To evaluate differential expression across development for embryos incubated at the same temperature, multiple comparisons of the fold differences were conducted between temporally adjacent time points under each incubation condition (MPT/FPT). Development-dependent DEG analysis revealed extensive gene expression kinetics during the course of gonadal morphogenesis, and were profiled (Fig. 2a, b; Additional files 2a and 3). Overall, at MPT, Day 0-12 showed 788 DEGs, of which 158 (20.1 %) displayed expression movement at multiple occasions. At FPT, Day 0-12 showed 555 total DEGs, of which 113 DEGs (20.3 %) also displayed expression movement at multiple occasions. Several noteworthy gene expression patterns were observed; under both MPT and FPT conditions, the transition from Day 3 to 6 accounted for the majority of DEGs, and nearly half of the total DEGs (460 and 250, respectively) were specific to Day 3-6. This timing corresponds to the onset of morphological differentiation in which the enlargement of presumptive Sertoli cells are observed in the medulla at MPT (Stage 21), and might be an indication of the activation of male and female cascade and gonadal fate commitment [31].

Fig. 2
figure 2

Overlap of development-dependent and sex-dependent differentially expressed genes. Venn diagram of differentially expressed genes (DEGs) in (a) Day 0 to Day 12 MPT (indicated in blue) conditions and (b) Day 0 to Day 12 FPT (indicated in red) conditions based on genome mappings of Tophat. c Venn diagram for number of DEGs between Day 0 to Day 12 MPT and FPT conditions at respective time points, based on genome mapping using Tophat. Number values in blue indicate the number of genes with MPT-biased expression, while values in red indicate the number of genes with FPT-biased expression. All DEGs were determined based on statistical significance (FDR < 0.01) using Cuffdiff software. Further details are available in Additional files 3 and 4

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Increases in the magnitude of sexually dimorphic gene expression profiles were then examined in detail. Sex-dependent DEG analysis between MPT and FPT samples were conducted at each corresponding time points in respective groups for intergroup comparisons (Fig. 2c, Additional files 2b and 4). Day 0-12 intersex comparisons revealed a total of 457 DEGs. MPT biased gene expression in each time point gradually increased with the progression of sexual development (68, 97, and 137 DEGs at Day 3, 6, and 12, respectively). However, similar to intrasexual development-dependent DEGs, a majority of sexually dimorphic gene expression was time point specific. Ten genes were consistently sexually dimorphic at all 3 time points (AMH, EIF4A2, IFRD1, JARID2, KDM6B, KRT10, LOC102561378, LOC102574081, UCP2).

Identification of immediate temperature-responsive genes

Cross-comparisons between Day 0 FPT embryos and Day 3 at MPT and FPT were performed to evaluate for the MPT-specific immediate temperature-responsive gene expression (Fig. 3). In order to assess the impact of the temperature shift between Day 0 FPT and Day 3 MPT on gene expression, as well as to account for the shared gene expression movement between Day 0-3 FPT and Day 0-3 MPT, significant male-specific differential expressions between Day 0 FPT and Day 3 MPT with resulting sexual dimorphism between Day 3 embryos were identified. The analysis generated 131 MPT specific DEGs (Fig. 3a), of which 41 were also found to be sexually dimorphic between Day 3 MPT and Day 3 FPT as well (Fig. 3b). Seventeen genes with significant upregulation at MPT (UCP2, GALNT5, EIF4A2, etc.) and 24 with significant downregulation (KDM6B, LOC102562106, CSRP2, etc.) were detected, and are likely candidates for immediate temperature-responsive genes (Table 1). While the current study focused upon FPT-to-MPT shift, a complementary MPT-to-FPT study would be ideal to fully identify potential upstream temperature-responsive genes in both male and female sex determination cascades.

Fig. 3
figure 3

Candidate temperature-responsive differential gene expression. a Venn diagrams show the number of DEGs between Day 0 and Day 3 incubated either under MPT (indicated in blue) or FPT (indicated in red). 131 genes (indicated in bold) were found to have MPT-specific gene expression movement, possibly in response to changes in incubation temperature. b 41 out of 131 genes were found to have been up- or down-regulated significantly enough to be sexually dimorphic. 17 genes displayed MPT-biased expression and 24 genes displayed FPT-biased expression. Red, blue, and grey indicate FPT-, MPT- or non-bias, respectively. c Top 10 biological process gene ontology terms mapped to the candidate temperature-responsive genes with highest node score, based on Blast2GO program

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Table 1 Candidate temperature-responsive genes
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Oxidative stress responsive-gene uncoupling protein-2 (UCP2) displayed the most prominent up-regulation, and suggests the presence of oxidative stress signaling in gonads incubated at MPT [32]. Oxidative stress can be induced by number of factors including the thermosensitive cation channel TRPV4, which incidentally is also tightly co-localized with UCP2 in mammals [33–35]. Interestingly, TRPV4 has also recently been observed to potentially be involved with alligator TSD [36] and may partially account for the immediate temperature-responsive DEGs identified in the current study. Interestingly, other DEGs identified in this study (e.g. UPK3A, C/EBPA, ESPN, etc.) are also co-expressed with TRPV4 in other mammalian tissues, and may share a functional pathway [37–39]. However, the relationship shared between these genes and TRPV4 during the alligator gonadal sex determination is yet to be elucidated.

Gene ontology (GO) analysis was performed on the temperature-responsive transcripts. Interestingly, ‘Regulation of transcription, DNA-dependent’ was one of the highest biological process terms highlighted, and several transcriptional regulators were detected (Fig. 3c). Most were downregulated by the temperature shift to MPT, such as KDM6B and JARID2. The roles of chromatin remodelers such as Cbx2 and Jmjc1 have been well documented in mammalian sex determination [40, 41], which prompt us to speculate that similar chromatin modification might occur during alligator TSD. Further analysis using Chromatin Immunoprecipitation (ChIP) techniques may help elucidate the chromatin state in alligator gonads during TSD. WNT11, which is expressed in mammalian granulosa cells, was also downregulated by shifts to MPT [42]. Transcription factor CCAAT/enhancer binding protein α (C/EBPA) was upregulated by shifting incubation temperature to MPT. C/EBPA is observed to be active in a wide array of cell differentiation cascades, including mammalian germ cell sex differentiation [43]. Because the current study did not distinguish between cell types, gene expression specific to somatic and primordial germ cell sex development is unclear. Vertebrate somatic and germ cell sex determination cascades are distinct. Thus, resolving the spatial expression patterns for these genes in alligators will further aid in characterizing their roles and functions during TSD.

Characterization of known sexual development genes

Although vertebrate upstream sex determination mechanisms differ by species, downstream sex differentiation genes appear to be highly conserved by comparison [4], and expression pattern of genes that have been well characterized in alligator sex differentiation were investigated (Additional file 5). Overall, our RNA-seq data was in accordance with the previous reports, based mostly on studies utilizing RT-PCR and in situ hybridization techniques. Although, a few surprising discrepancies were revealed by the precise transcript level measurements afforded by RNA-seq analysis [11, 44, 45]. For example, the timing of sexual dimorphism in AMH expression was earlier than previously thought, and was observed as early as Day 3. There was a significant upregulation of AMH under both MPT and FPT conditions between Day 0 and Day 3; however, the degree of upregulation was far greater at MPT (approximately a 7-fold increase) and continued upregulation was observed at later time points, whereas up-regulation in FPT diminished (Additional file 5). Expression of AD4BP/SF1, a nuclear receptor involved in gonadogenesis and steroidgenic cell differentiation, was reportedly dynamic in alligator during and after sex determination, though depending on the literature, contradicting expression patterns were also reported [6, 44]. Here, our results indicate that AD4BP/SF1 is initially fairly stable at both temperatures and only later shows an increase in expression, but does not show significant sexual dimorphism at any time point examined. Expression patterns of FOXL2, FGF9, LHX9, WNT4, and RSPO1 were also characterized, last of which was not sexually dimorphic at any time point during Day 0-12. Species differences in the expression pattern of RSPO1 during ovarian differentiation have been noted in the past [46, 47], and similar to the pattern observed during Trachemys scripta gonad sex differentiation [47], there may be a brief female-biased expression between Day 12 and 18 in the alligator.

Characterization of candidate sexual development genes

Next, we investigated expression patterns that might provide insight into those genes with central roles in alligator sex determination. Cross-comparative analyses of development-dependent DEGs and sex-dependent DEGs were performed. Differentially expressed genes between sequential time points that also showed sexually dimorphic expression were considered to be potentially critical for gonadal sex determination. This criterion was employed to screen out significant gene expression movement in each MPT and FPT cascades that resulted in sexual dimorphism. With this criterion, 74 female and 172 male upregulated gene candidates (230 genes total) for sexual development were identified (Fig. 4, Additional file 6), including SOX9, AMH, and FOXL2. Genes screened for Day 3 MPT were overall identical to the genes categorized as immediate temperature-responsive genes, with 4 additional genes identified (AMH, FAP, COL8A2, and COL11A1). The number of candidate genes increased greatly between Day 3 and Day 6 at MPT, corresponding with the expression of genes involved in testis determination, while only a few candidate genes were identified between Day 3 and Day 6 at FPT.

Fig. 4
figure 4

Candidate potential critical genes central for sex determination. a Cross comparison between development- and sex-dependent DEGs (FDR < 0.01; Fig. 2) was performed among Day 0 to Day 12, and a total of 230 genes were identified as candidate genes for A. mississippiensis sex determination. Green and orange arrows indicate up- and down-regulation, respectively, with number of corresponding genes indicated. The majority of gene expression dynamics associated with development was observed to be MPT-specific. Further information is available in Additional file 6. b Hierarchical clustering analysis of sexual dimorphism (M-F log2FC) in the candidate genes at Day 3, 6, and 12. Red color indicates high z-score (female biased expression) while blue indicates a low z-score (male biased expression)

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At MPT, candidate genes identified between Day 3 and Day 6 contained many of the genes with known roles in vertebrate male sexual development, and were profiled for the first time in alligators. These include upregulation of DMRT3, TEX11, in addition to previously reported SOX9. PIWIL1 and TDK, which are essential for mammalian spermatogenesis [48], were also observed to be up-regulated at MPT during this time. These observations provide details into the transcriptional pathway underlying male fate commitment in alligator, and also reveal genes with potentially crucial roles in somatic and germ cell sex determination/differentiation.

In both the MPT and FPT cascade, several DEG involved with steroid biosynthesis and metabolism were identified, including HSD17B1, STAR, and HSD3B2. Also, some genes expression patterns appeared to have reversed sexually dimorphism between alligator and model organisms. For example, HEMGN, a gene critical for male chicken testis development [49], was up-regulated at FPT. ARX, a gene involved in mammalian testis development [50] was downregulated on Day 12 at MPT and remained so at later time points. The implications of these gene expression patterns in alligator sex determination are yet to be determined. Finally, 7 uncharacterized transcripts were found to be differentially expressed at various time points. Interestingly, six of these transcripts were identified as ncRNAs (e.g., LOC102575456, LOC102563416, LOC102573435), though their functions and roles during alligator sexual development are yet to be defined. The presence of these ncRNAs may have significant consequences on alligator sex determination as ncRNA (MHM) regulation of DMRT1 plays a pivotal role in Gallus gallus sex determination [51]. These observations during the early stages of alligator sexual development highlight both conserved elements and divergences from sex determining mechanisms found in other vertebrates.

Inference of regulatory network

Gene ontology analyses of the candidate genes for sexual development recognized 25 genes with putative transcriptional regulatory functions, among which 9 were transcription factors (Table 2, Additional file 7). The gene expression patterns were further characterized as long-term, short-term, or ambiguous depending on the duration of continuous sexual dimorphism during Day 0-12 and Day 18-36. Network modeling of genes from both male and female cascades were performed using the NetGenerator tool [52] (see Materials and Methods) (Fig. 5). The predicted expression patterns based on the modeling overall fit the interpolated expression pattern (Fig. 5a,b), and more than half of the total modeled interactions satisfied the robustness test. The regulatory network model at MPT consisted of 33 edges, 12 robust putative gene-to-gene interactions, and 7 robust putative influences from MPT (Fig. 5c). At FPT, 10 putative edges were constructed with 5 robust putative influences of FPT and 3 robust gene-to-gene interactions (Fig. 5d). As expected, the temperature influences on the regulatory genes were predicted to be widespread in both conditions. In the MPT cascade, SOX9, and ARX were predicted to be responsible for regulating a number of genes while in the FPT cascade, FOXL2 was predicted to regulate the phosphatase, EYA1, and FABP4. Currently, these inferred networks are based on gene expression correlation and generic gene interactions. In vitro techniques such as reporter assays will be useful to evaluate such interactions and provide greater insight into the functional relationships between genes in this putative network.

Table 2 Candidate critical genes with putative regulatory functions
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Fig. 5
figure 5

NetGenerator derived model prediction of MPT and FPT cascade. a-b Interpolated expression (dotted line; dots indicate actual recorded fold change) and inferred patterns derived from the predicted NetGenerator model (solid line) of putative transcriptional regulatory genes over the course of sex differentiation at both (a) MPT and (b) FPT. c-d Inferred network model at both (c) MPT and (d) FPT. Robust (solid line) and non-robust (dotted line) predicted interactions are displayed as gene-gene interactions (black), and temperature-gene interactions (MPT:blue; FPT:red). Thickened lines indicate interaction with high robustness (80 % or above). Following genes names were modified for inference network: LOC102562106 (JARID2-1), LOC102561337 (JARID2-2), LOC102569158 (WNT11), LOC102560544 (EEF1A1), LOC102577358 (DMRT3), LOC102573123 (SOX9), LOC102576325 (PAK1), LOC102559361 (EDNRB), LOC102563625 (PDE2A), and LOC102577040 (FOXL2)

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Conclusion

Here, we present the first RNA-seq analysis of gonadal sex determination in a TSD organism. Our analysis clearly shows the dynamic influence of incubation temperature on gene expression, providing insights regarding the state of the gonad at MPT. Differential expression of UCP2, WNT11, and KDM6B highlight the presence of oxidative stress, regulation of Wnt signaling pathway, and chromatin modification on testis development. Furthermore, the global view of gene expression patterns in the gonad during sex determination identified candidate genes that may be integral for the alligator sex determination cascade. Use of network modeling allowed further prediction of the underlying TSD genetic pathway and provides a conceptual framework for empirical tests probing the function of these pathways. These findings, along with the gene expression profiles, will aid future researches on TSD species, and in turn contribute toward further understanding of the vertebrate sex determination mechanisms.

Methods

Tissue collection and experimental design

Alligator eggs were collected from five clutches in June of 2010 at Lake Woodruff National Wildlife Refuge, Volusia County, FL, USA under permits from Florida Fish and Wildlife Conservation Commission and the U.S. Fish and Wildlife Service (Permit #: SPGS-10-44). All work involving alligators was performed under the guidelines specified by the Institutional Animal Care and Use Committee at the Medical University of South Carolina (Permit #: 3069). After the eggs were collected from nests, they were transported to the Medical University of South Carolina (Charleston, SC, USA) and incubated under previously established conditions [53, 54]. Rate of embryonic development was predicted based on previous data, and staged according to criteria described by Ferguson [20, 28]. All eggs were incubated under FPT (30 °C) conditions until embryonic stage 19, at which point eggs were split into two incubating temperatures, MPT (33.5 °C) and FPT, and sampled over the course of 36 days. This design was adopted to account for any potential sexual dimorphism present prior to stage 19, and to differentiate between temperature-responsive and developmental genes during the alligator TSD mechanism. The alligator embryos were sampled at various time points starting at stage 19, and 3rd, 6th, 12th, 18th, 24th, and 30th days post-stage 19. Additionally, FPT embryos at 36 days post-stage 19 were also sampled.

RNA extraction and Illumina library preparation

Gonad-adrenal mesonephros (GAM) complex was first sampled from the alligator embryos and preserved in RNAlater (Ambion/Thermo Fisher Scientific, Waltham, MA, USA) at -20 °C, and later, the gonadal tissue was further dissected from the GAM complex under a dissecting microscope. Total RNA from each individual gonad was extracted using ISOGEN reagent (Nippon Gene, Toyama, Japan) and was purified with Promega SV Total RNA Isolation system (Promega, Madison, WI, USA) according to the manufacturer’s instructions. Qubit RNA assay kit (Life Technologies, Carlsbad, CA, USA), dsDNA HS assay kit (Life Technologies), and Agilent 2100 Bioanalyzer RNA pico kit assay (Agilent Technologies, Santa Clara, CA, USA) was used to assess concentration, DNA contamination, and overall quality. Triplicates were selected from each time point and temperature condition between Day 0 to Day 12 (total of 21 individuals), and single samples were selected from each time point and temperature between Day 18 and Day 36 (total of 7 individuals). Our primary analyses were conducted on the initial phases of sexual determination/differentiation, while single samples taken from Day 18-36 were used to provide an overview for general gene expression kinetics in latter stages. 500 ng of total RNA from each gonad samples was then used for library preparation with Illumina TruSeq RNA sample preparation v2 kit (Illumina, San Diego, CA, USA), following the manufacturer’s instructions. The libraries were then evaluated by using KAPA library quantification kit (Kapa Biosystems, Woburn, MA USA) and 2100 Bioanalyzer High Sensitivity DNA assay (Agilent Technologies). Finally, the multiplexed libraries were pooled into three groups, and sequenced using Illumina HiSeq2500 instrument (Illumina) at National Institute for Basic Biology in Okazaki, Japan. Sequencing was performed as 101 bp, paired-end reads in three lanes. The RNA-seq reads are available through DRA under the accession number: DRA004128-41.

Differential gene expression analysis

Initial FASTQ files were subjected to quality assessment using FastQC tool (http://www.bioinformatics.bbsrc.ac.uk/projects/fastqc/). Raw reads were then mapped and assembled using the Tuxedo pipeline (Tophat software: ver. 2.0.12; Cufflinks software: ver.2.2.1) [29, 30, 55]. Individual paired–end sequence reads from each sample were aligned to publicly available alligator genome assembly (NCBI database; Assembly name: allMis0.2; Assembly accession: GCF_000281125.1) with supplement gene model annotation (NCBI Alligator mississippiensis Annotation Release 100), and directed to report best possible alignment found with ‘-read-realign-edit-dist’ option. The mapping rates for each experimental group were assessed using Samtools ‘flagstat’ command [56]. Differential expression between each condition was tested following the Cufflinks workflow (ver. 2.2.1), and Cuffdiff software. The significance of initial differential expression was tested at significance level α = 0.05, adjusted with allowed FDR at 0.05 following Benjamini-Hochberg correction. DEGs were further screened by FDR at 0.01.

Gene ontology mapping

Contigs were blasted against the NCBI nr database using blastx program, with a minimum E-value score set to 1.0E-06. Successful blast hit results were then imported to Blast2GO program (ver. 3.1.3) where they were functionally mapped and annotated [57]. Cut-off threshold was set to 55 and the GO level weighting set to 5. Additionally, InterPro IDs from InterProScan were merged to the annotation for further accuracy. ‘Make combined graph’ analysis was performed to score and evaluate the GO distribution in defined gene sets, and top 10 GO terms with highest node scores were selected.

Statistical analysis and network inference

Basic statistical analysis and graph constructions were conducted using Microsoft Excel, R, and GraphPad Prism software (Version 5.0b; GraphPad Software, Inc., San Diego, CA, USA). Log2 transformed FPKM + 1 values were used for both the MA plot and hierarchical clustering heatmap. The NetGenerator tool (ver. 2.4) [52] was used to perform network inference analysis with time-series log2 fold change from select candidate DEGs (Table 2) under each incubation temperature condition. NetGenerator offers modeling gene regulatory network from time series data, based on linear differential expression intensities with consideration of influences from external stepwise input signals. Network analysis and robustness analysis was conducted using modified protocol from Schulze et al [58]. In current analysis, input signal was defined as the environmental temperature (MPT or FPT). Prior-knowledge gene-to-gene coexpression data was based on Mus musculus (confidence score = 0.25) as obtained from Genemania (genemania.org) and was implemented in the analysis [59–67]. Several parameters were tested and ‘allowedError’ was adjusted at 0.01. Robustness of the network was tested using two methods. In the first test, the inference analysis was repeated 1000 times with artificial Gaussian noise (mean = 0; standard deviation = 0.05) distributed to the expression data to test for susceptibility to perturbations. In second test, the inference analysis was repeated 1000 times with 10 % of the total prior knowledge randomly omitted to test for dependency of the interactions on prior knowledge. Interactions that were predicted more than 50 % of the time in both tests were considered robust.

Availability of supporting data

The data sets supporting the results of this article are included within the article and its additional files.