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. 2013 Nov 10;2013:145037. doi: 10.1155/2013/145037

Phylogeny, Functional Annotation, and Protein Interaction Network Analyses of the Xenopus tropicalis Basic Helix-Loop-Helix Transcription Factors

Wuyi Liu 1,*, Deyu Chen 1
PMCID: PMC3842043  PMID: 24312906

Abstract

The previous survey identified 70 basic helix-loop-helix (bHLH) proteins, but it was proved to be incomplete, and the functional information and regulatory networks of frog bHLH transcription factors were not fully known. Therefore, we conducted an updated genome-wide survey in the Xenopus tropicalis genome project databases and identified 105 bHLH sequences. Among the retrieved 105 sequences, phylogenetic analyses revealed that 103 bHLH proteins belonged to 43 families or subfamilies with 46, 26, 11, 3, 15, and 4 members in the corresponding supergroups. Next, gene ontology (GO) enrichment analyses showed 65 significant GO annotations of biological processes and molecular functions and KEGG pathways counted in frequency. To explore the functional pathways, regulatory gene networks, and/or related gene groups coding for Xenopus tropicalis bHLH proteins, the identified bHLH genes were put into the databases KOBAS and STRING to get the signaling information of pathways and protein interaction networks according to available public databases and known protein interactions. From the genome annotation and pathway analysis using KOBAS, we identified 16 pathways in the Xenopus tropicalis genome. From the STRING interaction analysis, 68 hub proteins were identified, and many hub proteins created a tight network or a functional module within the protein families.

1. Introduction

Transcription factors are usually classified into different families based on their sequence of functional DNA-binding or protein-binding domains, which are highly conserved among many species and include many members mediating cell fate allocation during animal and plant development [111]. The expression and activity of basic helix-loop-helix (bHLH) transcription factors can be regulated in response to cell-cell signaling, leading to the transcription of specific sets of genes required for a cell to adopt particular fates. Due to their important functions found in various organisms, bHLH transcription factors have been the subject of many researches. The first report of bHLH transcription factors focused on the murine factors E12 and E47 [12]. Later, more and more bHLH proteins have been identified in living organisms. In 1997, Atchley and Fitch [1] proposed an organization for the classification of the bHLH proteins based on the phylogenetic analysis of the 122 bHLH domains combined with the presence or absence of another additional domain. Their analysis allowed for the defining of four different groups of bHLH protein families according to structural similarities [1]. This classification was performed using only the bHLH motif or domain, because the flanking regions for bHLH proteins are very divergent. Atchley and Fitch's classification led to the postulation of four distinct groups based on amino acid patterns and E-box-binding specificity [1]. In 2002, Ledent et al. [4] defined 44 orthologous families or sub-families and 6 supergroups based on the DNA-binding activities of bHLH transcription factors after large-scale phylogenetic analyses. After the revision of Simionato et al. [6] in 2007, animal bHLH proteins are reclassified into 45 families. Among these 6 supergroups, members of groups A and B are common bHLH proteins [1, 36]. Group A proteins bind to CACCTG or CAGCTG, while group B proteins bind to CACGTG or CATGTTG. The consensus DNA binding sequences for these bHLH proteins form the typical E boxes (CANNTG). Group C proteins are complex molecules with one or two PAS domains following the bHLH domain, being inclined to bind the core sequence ACGTG or GCGTG. They are mainly responsible for the regulation of midline and tracheal development, circadian rhythms, and gene transcription in response to environmental toxins. Group D proteins correspond to bHLH proteins that are unable to bind to DNA due to lack of a basic domain. Both, group D and group F, are proteins that lack basic parts and act as antagonist partners of group A proteins in the heterodimers. Particularly, group F are a kind of COE proteins characterized by the presence of an additional COE domain involved in both dimerization and DNA binding. Group E proteins are another type of special transcription factors. They usually contain two additional domains named “Orange” and “WRPW” peptides in their carboxyl termini and they bind preferentially to sequences typical of N boxes (CACGCG or CACGAG). Generally speaking, all of the bHLH transcription factors share a common bHLH motif or domain of approximately 60 amino acids, which contains a basic region and two helices separated by a loop (HLH) region of variable length [35, 12]. The basic region is a DNA-binding domain, and the amphipathic α-helices of two bHLH proteins can interact with each other. The HLH domain promotes dimerization, and interaction between the helix regions of two different bHLH proteins leads to the formation of homodimeric or heterodimeric complexes, while the basic region of each partner recognizes and binds to a core hexanucleotide DNA sequence [24]. In a couple of reports [13, 14], Atchley et al. inferred a predictive motif for the bHLH domains based on 242 bHLH proteins, in which 19 conserved sites were found within the bHLH domains. It was found and proved that a sequence with no more than 9 mismatches could be a putative bHLH protein [15].

Recently, in many organisms whose genomes have been released and are available, more and more bHLH proteins have been identified and bHLH transcription factor families have been analyzed due to their important and pivotal regulatory functions displayed in various organisms [325]. As well as Xenopus laevis the Xenopus tropicalis is a model organism for researches testing the developmental, behavioral, and neurological consequences of genetic variation [2628]. The draft of Xenopus tropicalis genome assembly was submitted by American scientists at the Lawrence Berkeley National Laboratory in California [28], and the Xenopus tropicalis genome project is still underway. In previous work, the preliminary survey identified 70 bHLH transcription factors [16]. Recently, we found it was incomplete and the functional properties and regulatory networks of bHLH transcription factors were not fully analyzed. In this study, we used the criteria developed by Atchley et al. [13] and the 45 representative bHLH domains defined by Ledent et al. [4] and Simionato et al. [6] to do updated searches using BLAST search algorithms in the Xenopus tropicalis genomic database and identified 105 bHLH proteins. We next made large-scale phylogenetic analyses of the Xenopus tropicalis bHLH domains with the 118 human bHLH domains [6]; this allowed us to define the full set of bHLH orthologous genes and their related families. We further report the result of analyses of gene ontology (GO) annotations, functional pathways, and protein interaction networks based on the Xenopus tropicalis genomic databases.

2. Materials and Methods

2.1. BLAST Searches and Retrieval of bHLH Domains

At first, we followed the criteria developed by Atchley et al. [1, 13] to define a bHLH protein [13]. These searches initially yielded a few bHLH transcription factors (up to 20 protein sequences). The deduced predictive protein consensus motif of Atchley et al. [13] is “++X(3–6)E + XRX(3) αNX(2)ΦX(2)L + X(5–22) + X(2)KX(2) δLX(2)AδXYαX(2)L” where + = K, R; α = I, L, V; Φ = F, I, L; δ = I, V, T; E, R, K, A, and Y are as defined; X = any residue; X(i) = any i residues; and X(ij) = i to j of any residues. We also used the 45 representative bHLH domains from the tables provided by Ledent et al. [4] and Simionato et al. [6] to make multiple TBLASTN and BLASTP searches of bHLH domains against the Xenopus Genome Resources built by NCBI (http://www.ncbi.nlm.nih.gov/genome/guide/frog/) and Xenbase (http://www.xenbase.org/) for all putative bHLH proteins. Then, PSI-BLAST searches were conducted against the nonredundant database of Xenopus genomes at NCBI using the representative bHLH domain sequences. All of the TBLASTN, BLASTP, and PSI-BLAST searches were conducted with the methods and similar parameter setting-ups in the previous works [7, 16]. With these BLAST searches above, we obtained all of the putative bHLH proteins with no more than 9 mismatches among the 19 amino acids residues [15]. Moreover, we also did TBLASTN searches of frog EST data against the Xenopus Genome EST databases with a stringency set as E ≤ 0.0001 and an identity of 90% or higher as candidacy. The obtained EST data were translated into protein sequences using online analysis tools (http://www.genoscope.cns.fr/agc/tools/) to verify the putative bHLH sequences found.

2.2. Manual Improvement and Sequence Alignment

Protein sequence accession numbers and genomic contig numbers were finally obtained by BLASTP and TBLASTN searches against the Xenopus tropicalis protein databases and genome sequence assembly (reference only) with the amino acid sequence of each identified bHLH domain. All of the obtained sequences were aligned using ClustalX 2.0 [29]. Redundant sequences of candidates were removed according to their corresponding serial numbers of the scaffold or clone or genomic contig, gene ID, protein ID, coding region, and alignment information. The, finaly, aligned bHLH domains were shaded using GeneDoc 2.6.02 [30] and copied into an RTF file for further annotation.

2.3. Analyses of Gene Ontology (GO) Annotations and Pathways

A functional annotation analysis of Xenopus tropicalis bHLH transcription factor genes was conducted. Gene ontology (GO) function enrichment was analyzed using DAVID Functional Annotation Bioinformatics Tools [31, 32], which use the ontology hierarchy tree and calculates and report statistical significance for GO term categories with a hypergeometric P value and enrichment scores. This approach directly scores predefined gene sets and/or pathways based on given gene lists.

All of the bHLH transcription factor genes were also subjected to KOBAS analysis (http://kobas.cbi.pku.edu.cn/home.do), and significant pathways were retrieved at the default P  value ≤ 0.5. We applied KOBAS vocabulary to first annotate all genes with corresponding KO and then identify both, the most frequent the statistically significantly enriched pathways. With rather strict cutoff of FDR ≤ 0.05, KOBAS found statistically significantly enriched pathways, as shown in Table 3.

Table 3.

Significant pathways identified by KOBAS with 93 Xenopus tropicalis bHLH transcription factors.

Term Pathway database Database ID Sample gene number Background number P value Corrected P value Genes
Circadian rhythm: mammal KEGG xtr04710 3 21 1.10E − 05 0.0001219 XSBmal2; XSDec2; XSClock
TGF-beta signaling pathway KEGG xtr04350 4 73 1.52E − 05 0.0001219 XSId3; XSId2; XSId4; XSnMyc
Notch signaling pathway PANTHER P00045 2 5 0.0004516 0.0024084 XSHes1a; XSHes1b; XSHerp1
Notch signaling pathway KEGG xtr04330 2 43 0.0037667 0.0150668 XSHes1a; XSHes1b; XSHes5a
Developmental biology Reactome None 2 106 0.0145401 0.0398896 XSHes1a; XSHes1b; XSNDF1; XSNDF2
Circadian clock Reactome None 1 8 0.0149586 0.0398896 XSClock
Herpes simplex infection KEGG xtr05168 2 128 0.0304156 0.0695215 XSBmal2; XSClock
MAPK signaling pathway KEGG xtr04010 2 220 0.0802242 0.1604484 XSMAX; XSnMyc
Fanconi anemia pathway KEGG xtr03460 1 51 0.1044307 0.1856547 XSHes1a; XSHes1b
ErbB signaling pathway KEGG xtr04012 1 70 0.1406256 0.2250009 XSnMyc
Melanogenesis KEGG xtr04916 1 86 0.1700261 0.2386888 XSMITF
Jak-STAT signaling pathway KEGG xtr04630 1 91 0.1790166 0.2386888 XSnMyc
Metabolism Reactome None 2 458 0.206835 0.2544026 XSSRC2; XSSRC1
Cell cycle KEGG xtr04110 1 116 0.2226023 0.2544026 XSnMyc
Wnt signaling pathway KEGG xtr04310 1 131 0.2476916 0.2642044 XSnMyc
Wnt signaling pathway PANTHER P00057 1 37 0.2756772 0.2756772 XSvMyc

We could thus identify and select significantly enriched gene ontology terms and pathways using bioinformatics databases DAVID [31, 32] and KOBAS [3335], respectively. We selected the functional categories that were more likely to be biologically meaningful by statistical significance of each functional category in the input set of genes versus all annotated genes in the Xenopus tropicalis genome.

2.4. Protein Interaction Network Analysis

To investigate possible interactions between the gene lists from our updated surveys, the STRING search tool was used for the creation of protein interaction network (PIN) files as previously described [3638]. To increase the completeness of our results, this search was set to include full information extracted from the STRING biological interaction databases. The created networks were explored and compared based on their topological characteristics and gene products (proteins) by default with a confidence of score 0.15 [38].

2.5. Phylogenetic Analyses

The putative Xenopus tropicalis bHLH protein sequences, together with the human bHLH domains, were used to construct phylogenetic trees based on bayesian inference (BI) by MRBAYES 3.1.2 [37, 38] and maximum likelihood estimation (MLE) by PHYML 2.4.4 [44] with the JTT substitution frequency matrix [45], respectively. Phylogenetic analyses by BI and MLE were performed with the methods and similar parameter setting-ups in the previous works [7, 16]. Briefly, the BI analysis was performed with two independent Markov chains, each containing from 800 to 1100 million Monte Carlo steps until the standard deviation of split frequencies was below 0.01, with sample frequency saved every 1000 generations. Finally, all of the obtained trees were edited and displayed by means of the software package MEGA 4.0 [46].

3. Results and Discussion

3.1. Data Retrieval and Identification of bHLH Transcription Factors

The names and related information of the putative Xenopus tropicalis bHLH proteins are listed in Table 1. All of the bHLH domains obtained had more than 10 conserved amino acids [15]. The putative bHLH proteins were named according to their phylogenetic relationship with its corresponding human orthologs and paralogs. If a human bHLH sequence had two or more Xenopus tropicalis orthologous genes, we used “a,” “b,” and “c” or “1,” “2,” and “3” and so on, to number them. In the present work, 34 frog hypothetical and/or predicted proteins belonged to novel bHLH members and were reannotated in this study, that is, NP_001096226.2 (Genbank protein accession), NP_989390.1, NP_001096298.1, NP_001037951.1, NP_001107462.1, NP_001107508.1, NP_001120597.1, NP_001120597.1, XP_002931994.1, XP_002932187.1, XP_002933181.1, XP_002934026.1, XP_002934312.1, XP_002935013.1, XP_002935182.1, XP_002935886.1, XP_002935887.1, XP_002936042.1, XP_002937330.1, XP_002937913.1, XP_002938491.1, XP_002938497.1, XP_002938975.1, XP_002939165.1, XP_002940290.1, XP_002940370.1, XP_002941575.1, XP_002942929.1, XP_002943245.1, XP_002944430.1, XP_002944506.1, XP_002944648.1, XP_002944649.1, and XP_002939654.1.

Table 1.

Information of the Xenopus tropicalis 105 bHLH transcription factors.

bHLH  
family
Gene name Homo sapiens orthologous gene Protein accessionc Genome contigd
Name MLE bootstrap value (%)a BI posterior probability (%)b
ASCa Xsash1 Hash1 (ASCL1) 89 99 XP_002944648.1 NW_003169609.1
ASCa Xsash2 Hash2 n/m* 99 XP_002940290.1 NW_003163913.1
ASCb Xsash3 Hash3 (ASCL3) 90 100 XP_002940370.1 NW_003163927.1
MyoD Myf3 Myf3 96 94 NP_988972.1 NW_003166075.1
MyoD Myf4 Myf4 94 100 NP_001016725.1 NW_003163495.1
MyoD Myf5 Myf5 n/m 76 NP_988932.1 NW_003163331.1
MyoD Myf6 Myf6 82 95 NP_001017160.1 NW_003163331.1
E12/E47 E2A E2A 99 53 NP_001093743.1 NW_003163736.1
E12/E47 TCF3 TCF3 76 88 XP_002940299.1 NW_003163915.1
E12/E47 TCF4 TCF4 76 n/m* NP_001096226.2 NW_003163423.1
Ngn Xsath4c Hath4c 83 78 NP_001116895.1 NW_003163503.1
NeuroD NDF1 (neurod1) NDF1 (NEUROD1) n/m n/m* NP_001090868.1 NW_003163341.1
NeuroD NDF2 NDF2 (NEUROD2) 65 63 NP_001072486.1 NW_003163936.1
NeuroD Xsath2 Hath2 79 80 NP_001072273.1 NW_003163914.1
NeuroD Xsath3 Hath3 97 99 NP_001124513.1 NW_003163487.1
Mist1 Mist1 Mist1 99 100 XP_002931994.1 NW_003163340.1
Beta3 Beta3a Beta3a 70 53 XP_002944506.1 NW_003167409.1
Beta3 Beta3b Beta3b 77 94 NP_001072933.1 NW_003163515.1
Oligo Oligo1 Oligo1 97 100 XP_002938497.1 NW_003163700.1
Oligo Oligo2 Oligo2 76 73 XP_002938491.1 NW_003163700.1
Oligo Oligo3 Oligo3 83 90 NP_001008191.1 NW_003163713.1
Oligo Oligo4 Oligo1 Oligo2
Oligo3
n/m n/m NP_001039180.1 NW_003163795.1
Net Xsath6 Hath6 100 100 XP_002937330.1 NW_003163606.1
Mesp Mesp1 Mesp1 Mesp2
pMesp1
n/m n/m NP_001039184.1 NW_003163348.1
Mesp Mesp2 Mesp1 Mesp2
pMesp1
n/m n/m NP_001016653.1 NW_003163348.1
Mesp pMespo pMesp1 99 100 NP_001039104.1 NW_003163426.1
Twist Twist1 Twist1 91 83 NP_989415.1 NW_003163378.1
Twist Twist2 Twist2 98 100 NP_001096679.1 NW_003163487.1
Paraxis Paraxis Paraxis 62 83 NP_001016506.1 NW_003165117.1
Paraxis Sclerax1 Sclerax 96 99 XP_002942929.1 NW_003164455.1
Paraxis Sclerax2 Sclerax 74 59 XP_002937913.1 NW_003163647.1
MyoRa MyoRa1 MyoRa1 63 60 NP_001096235.1 NW_003163586.1
MyoRa MyoRa2 MyoRa2 n/m 62 NP_001103518.1 NW_003163498.1
MyoRb MyoRb1 MyoRb1 78 94 GNOMON∣93674.pe  
(ab initio protein)
NW_003164157.1
MyoRb MyoRb2 MyoRb2 55 95 GNOMON∣522504.pe  
(ab initio protein)
NW_003163470.1
Hand Hand1 Hand1 94 100 NP_001016743.1 NW_003163350.1
Hand Hand2 Hand2 99 55 NP_001093695.1 NW_003163380.1
PTFa PTFa PTFa 99 100 NP_001095279.1 NW_003163378.1
PTFb PTFb PTFb 91 100 XP_002933181.1 NW_003163373.1
SCL Tal1 Tal1 77 62 NP_001135468.1 NW_003163327.1
SCL Tal2 Tal2 72 76 XP_002934026.1 NW_003163404.1
SCL Lyl1 Lyl1 86 97 XP_002939165.1 NW_003163774.1
NSCL NSCL1 NSCL1 99 100 XP_002937307.1 NW_003163605.1
SRC SRC1 SRC1 82 97 NP_001106383.1 NW_003163796.1
SRC SRC2 SRC2 97 100 NP_001135631.1 NW_003163586.1
SRC SRC3 SRC3 80 97 XP_002933204.1 NW_003163374.1
Figα Figα Figα 92 100 NP_001016342.1 NW_003163469.1
MYC l-Myc L-Myc 71 65 NP_001011144.1 NW_003164143.1
MYC n-Myc n-Myc n/m 98 NP_989390.1 NW_003163721.1
MYC v-Myc v-Myc 91 99 NP_001006874.1 NW_003163866.1
Mad Mxi1 Mxi1 85 97 NP_001008129 NW_003180496.1  
NW_003163820.1
Mad Mad1 Mad1 n/m 88 NP_001072228.1 NW_003163469.1
Mad Mad3 Mad3 99 100 NP_001017299.1 NW_003163577.1
Mad Mad4 Mad4 89 100 NP_001096239.1 NW_003164437.1
Mnt Mnt Mnt n/m 97 NP_001135494.1 NW_003163468.1
MAX MAX MAX 90 100 NP_001008208.1 NW_003163599.1
USF USF1 USF1 92 99 NP_001096236.1 NW_003168160.1
USF USF2 USF2 n/m 60 NP_001007857.1 NW_003163677.1
USF USF3 USF3 85 99 NP_001120597.1 NW_003164188.1
MITF MITF MITF n/m n/m NP_001093747.1 NW_003163951.1
MITF TFEb TFEb 84 100 NP_001072648.1 NW_003163367.1
MITF TFEc TFEc 66 99 XP_002935013.1 NW_003163447.1
MITF TFE3 TFE3 85 78 XP_002944430.1 NW_003166883.1
SREBP SREBP1a SREBP1 88 99 XP_002935886.1 NW_003163500.1
SREBP SREBP1b SREBP1 88 99 XP_002935887.1 NW_003163500.1
SREBP SREBP1c SREBP1 88 99 XP_002944649.1 NW_003169615.1  
NW_003163500.1
SREBP SREBP2 SREBP2 n/m 67 NP_001116910.1 NW_003163395.1
AP4 AP4 AP4 71 98 NP_001123841.1 NW_003163353.1
Mlx MondoA MondoA 89 100 NP_001090682.1 NW_003163637.1
TF4 TF4 TF4 88 100 GNOMON:712044.pe  
(ab initio protein)
NW_003164277.1,  
NW_003164157.1
Clock Clock Clock 99 100 NP_001122127.1 NW_003163433.1
ARNT ARNT1 ARNT1 n/m n/m NP_001116925.1 NW_003163477.1
ARNT ARNT2 ARNT2 100 n/m NP_001093686.1 NW_003163348.1
Bmal Bmal2 Bmal2 63 100 NP_001096298.1 NW_003164805.1
AHR AHR1 AHR1 92 99 XP_002933348.1 NW_003163378.1
AHR AHR2 AHR2 91 100 XP_002935182.1 NW_003163457.1
Sim Sim1 Sim1 n/m* 98 XP_002932187.1 NW_003163345.1
Sim Sim2 Sim2 89 99 XP_002941575.1 NW_003164120.1
Trh NPAS3 NPAS3 n/m 70 NP_001072647.1 NW_003163363.1
HIF Hif1α Hif1α 99 n/m NP_001011165.1 NW_003163817.1
HIF EPAS1 EPAS1 79 94 NP_001005647.1 NW_003163351.1
Emc Id2 Id2 78 90 NP_988885.1 NW_003163451.1
Emc Id3 Id3 79 98 NP_001016271.1 NW_003163432.1
Emc Id4 Id4 86 54 NP_001004839.1 NW_003163385.1
Hey Herp1 Herp1 83 97 NP_001007911.1 NW_003163551.1
Hey Herp2 Herp2 86 92 XP_002936042.1 NW_003163507.1
Hey HEYL HEYL 98 100 XP_002934312.1 NW_003163416.1
H/E(spl) Dec2 Dec2 99 n/m NP_001027504.1 NW_003163993.1
H/E(spl) Hes1a Hes1 n/m 81 NP_001011194.1 NW_003163571.1
H/E(spl) Hes1b Hes1 n/m 81 NP_988870.1 NW_003163533.1
H/E(spl) Hes5a Hes5 n/m* 61 NP_001037880.1 NW_003163546.1
H/E(spl) Hes5b Hes5 n/m* 61 NP_001037974.1 NW_003163546.1
H/E(spl) Hes5c Hes5 n/m* 100 NP_001039178.1 NW_003163399.1
H/E(spl) Hes5d Hes5 n/m* 100 NP_001037951.1 NW_003163399.1
H/E(spl) Hes5e Hes5 n/m* 82 NP_001107462.1 No finding
H/E(spl) Esr9 Hes5 n/m* 100 NP_001037989.1 NW_003163399.1
H/E(spl) Hes6 Hes6 n/m n/m NP_001072210.1 NW_003163381.1
H/E(spl) Hes7a Hes7 73 97 NP_001039166.1 NW_003164377.1
H/E(spl) Hes7b Hes7 86 100 NP_001107508.1 NW_003164377.1
Coe EBF1 EBF1 n/m 51 XP_002939654.1 NW_003163834.1
Coe EBF2 EBF2 91 97 NP_989200.1 NW_003163356.1
Coe EBF3 EBF3 91 66 XP_002932694.1 NW_003163358.1
Coe EBF4 EBF4 91 66 XP_002932695.1 NW_003163358.1
Orphan Orphan1 Orphan1 86 100 XP_002938975.1 NW_003163749.1
Orphan Orphan4 Orphan4 94 100 XP_002943245.1 NW_003164609.1

Xenopus tropicalis bHLH genes were named according to their human orthologous genes' names (or common abbreviations) and the referred nomenclature was mainly from the tables and additional tables provided by Ledent et al. [4] and Simionato et al. [6]. Bootstrap values were converted from phylogenetic analyses with human bHLH sequences using BI and MLE algorithm, respectively. MLE bootstrap valuea refers to the result from maximum likelihood estimate in phylogenetic analysis, and BI posterior probabilityb refers to the result from BI in phylogenetic analysis. The numbers in the phylogenetic trees are converted into percentages. cThe accession numbers were retrieved from the following resources; this sequence was verified by many EST TBLASTN search hits, such as EG651417.1 and CX503003.2 (EST accession number). These numbered as “NP” were from the RefSeq protein database and those numbered as “XP” were from the Build protein database. Notes in the brackets are also gene symbols according to records in NCBI and Xenbase. All of the bHLH genes are organized in the order of bHLH families manifested in Table 1 of Ledent et al. [4]. The question mark means no matching; mark n/m* means no monophyletic group with single particular orthologous gene sequences, but formed a monophyletic group with two or more orthologous gene sequences of the family; mark n/m denotes the case of lower bootstrap value estimated less than 50%.eThe accession numbers were retrieved from the ab initio protein database.

In total, 105 putative Xenopus tropicalis bHLH protein sequences were identified with the BLASTP, TBLASTN, and PSI-BLAST searches and manual examination of the 19 conserved amino acid sites (Table 1, Figure 1). Among these putative bHLH protein sequences, most of these hypothetical proteins were newly produced in the Xenopus tropicalis genome project. We further identified and verified these hypothetical proteins with corresponding EST sequences obtained by TBLASTN searches against the expressed sequence database (data not shown).

Figure 1.

Figure 1

Alignment of 105 Xenopus tropicalis bHLH domains. Designation of basic, helix 1, loop, and helix 2 follows Ferre-D'Amare et al. [3943] and bHLH domains were shaded using GeneDoc. Family and bHLH protein names and high-order groups were organized according to Table 1 in the paper of Ledent et al. [4]. Highly conserved sites are shaded in black and indicated with asterisks on the top.

In summary, two proteins identified belonging to none of these groups were classified as “orphans,” while the other 103 bHLH members belonged to 43 families with 46, 26, 11, 3, 15, and 4 bHLH members in the corresponding high-order groups A, B, C, D, E, and F, respectively. Figure 1 showed the domain alignment of 105 Xenopus tropicalis bHLH proteins. In addition, the members of Delilah and Mist families were not found in this research.

3.2. Phylogenetic Analyses and Identification of Putative bHLH Proteins

Phylogenetic trees of MLE and BI showed the diversity of the frog bHLH transcription factor family. All of the data of phylogenetic trees for Xenopus tropicalis bHLH proteins are available upon request. The topologies of these two inference methods agreed well with each other (Table 1). It was found that both human and frog proteomes have a number of lineage-specific bHLH families and their members. For example, in the Xenopus tropicalis proteomes, no orthologous genes for human TF12, Hath1, Hath4a, Hath4b, Hath5, and Id1 could be found in the present research. However, the Xenopus tropicalis proteomes also have multiple orthologous genes corresponding to one human gene, such as SREBP1a, SREBP1b, and SREBP1c (orthologous genes of human SREBP1); Hes1a and Hes1b (orthologous genes of human Hes1); Hes6a and Hes6b (orthologous genes of human Hes6); Hes5a, Hes5b, Hes5c, Hes5d, Hes5e, and Esr9 (orthologous genes of human Hes5).

3.3. Enriched Functional GO Annotations

Gene ontology (GO) annotations including biological process (BP), molecular function (MF), and cellular component (CC) were downloaded and investigated from the gene ontology database (http://www.geneontology.org/), and the genes were grouped according to their GO hierarchy annotations. To explore functional properties and identify groups of genes coding for proteins with similar function or with participation in common regulatory pathways, all of the retrieved putative bHLH genes were grouped and functionally classified and enriched according to available GO annotations, information from curated pathways, and known protein interactions. In the present work, the 105 frog bHLH genes were grouped into 7 supergroups according to Ledent et al. [4] and Simionato et al. [6] to get available GO annotations and their enrichment by categories (cutoff of P ≤ 0.05). With gene accessions, protein accessions, and the other eligible sequence information in DAVID Bioinformatics Database [32] for Xenopus tropicalis bHLH transcription factors, we retrieved all of the significant GO annotations (cutoff of P ≤ 0.05). There were 96 genes fitting the record of DAVID Bioinformatics Database [31, 32] and these genes obtained significant GO annotations, while the other nine genes did not get significant GO annotation and were discarded (mainly group D, F, and Orphans; Table 2).

Table 2.

GO enrichment by categories of super-groups by DAVID bioinformatics bases with 105 Xenopus tropicalis bHLH transcription factors.

Group Enriched genes GO term ID GO category GO definition Coherence (%)a P value
A 43 GO:0030528 MF Transcription regulator activity 100 2.50E − 27
GO:0045449 BP Regulation of transcription 100 7.60E − 22
GO:0007517 BP Muscle organ development 15.4 5.50E − 05
GO:0007519 BP Skeletal muscle tissue development 7.7 1.30E − 02
GO:0055123 BP Digestive system development 7.7 1.30E − 02
GO:0014706 BP Striated muscle tissue development 7.7 1.30E − 02
GO:0043282 BP Pharyngeal muscle development 7.7 1.30E − 02
GO:0002074 BP Extraocular skeletal muscle development 7.7 1.30E − 02
GO:0048741 BP Skeletal muscle fiber development 7.7 1.30E − 02
GO:0048747 BP Muscle fiber development 7.7 1.30E − 02
GO:0060538 BP Skeletal muscle organ development 7.7 1.30E − 02
GO:0060465 BP Pharynx development 7.7 1.30E − 02
GO:0007423 BP Sensory organ development 11.5 1.70E − 02
GO:0042692 BP Muscle cell differentiation 7.7 2.00E − 02
GO:0060537 BP Muscle tissue development 7.7 2.00E − 02
GO:0051146 BP Striated muscle cell differentiation 7.7 2.00E − 02
GO:0055002 BP Striated muscle cell development 7.7 2.00E − 02
GO:0055001 BP Muscle cell development 7.7 2.00E − 02
GO:0003677 MF DNA binding 26.9 8.70E − 02

B 267 GO:0030528 MF Transcription regulator activity 100 8.10E − 20
GO:0045449 BP Regulation of transcription 100 6.90E − 16
GO:0035257 MF Nuclear hormone receptor binding 10.5 1.20E − 02
GO:0051427 MF Hormone receptor binding 10.5 1.60E − 02
GO:0003713 MF Transcription coactivator activity 10.5 2.00E − 02
GO:0003712 MF Transcription cofactor activity 10.5 3.10E − 02
GO:0008134 MF Transcription factor binding 10.5 6.90E − 02
GO:0006355 BP Regulation of transcription, DNA-dependent 26.3 9.70E − 02

C 11 GO:0006350 BP Transcription 100 1.40E − 07
GO:0030528 MF Transcription regulator activity 100 4.70E − 07
GO:0006355 BP Regulation of transcription, DNA-dependent 100 9.50E − 07
GO:0051252 BP Regulation of RNA metabolic process 100 1.00E − 06
GO:0003677 MF DNA binding 100 4.10E − 06
GO:0045449 BP Regulation of transcription 100 9.30E − 06
GO:0003700 MF Transcription factor activity 71.4 1.70E − 04
KEGG_Id:480089074 KEGG pathway Circadian rhythm 28.6 3.90E − 03

D 3 None None None None None

E 15 GO:0030528 MF Transcription regulator activity 100 1.30E − 16
GO:0045449 BP Regulation of transcription 100 2.40E − 13
GO:0006350 BP Transcription 68.8 7.90E − 09
GO:0003677 MF DNA binding 75 1.10E − 07
GO:0006355 BP Regulation of transcription, DNA-dependent 68.8 1.70E − 07
GO:0051252 BP Regulation of RNA metabolic process 68.8 1.90E − 07
GO:0016564 MF Transcription repressor activity 31.2 2.90E − 07
GO:0000122 BP Negative regulation of transcription from RNA polymerase II promoter 25 1.80E − 05
GO:0009792 BP Embryonic development ending in birth or egg hatching 25 7.50E − 05
GO:0043009 BP Chordate embryonic development 25 7.50E − 05
GO:0045892 BP Negative regulation of transcription, DNA-dependent 25 1.60E − 04
GO:0051253 BP Negative regulation of RNA metabolic process 25 1.80E − 04
GO:0046982 MF Protein heterodimerization activity 18.8 2.10E − 04
GO:0021915 BP Neural tube development 18.8 2.20E − 04
GO:0016481 BP Negative regulation of transcription 25 2.80E − 04
GO:0007219 BP Notch signaling pathway 18.8 3.10E − 04
GO:0051172 BP Negative regulation of nitrogen compound metabolic process 25 3.70E − 04
GO:0045934 BP Negative regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process 25 3.70E − 04
GO:0031327 BP Negative regulation of cellular biosynthetic process 25 4.60E − 04
GO:0010558 BP Negative regulation of macromolecule biosynthetic process 25 4.60E − 04
GO:0009890 BP Negative regulation of biosynthetic process 25 5.00E − 04
GO:0010629 BP Negative regulation of gene expression 25 5.70E − 04
GO:0006357 BP Regulation of transcription from RNA polymerase II promoter 25 8.90E − 04
GO:0010605 BP Negative regulation of macromolecule metabolic process 25 9.50E − 04
KEGG_Id:480089058 KEGG pathway TGF-beta signaling pathway 18.8 2.40E − 03
GO:0033504 BP Floor plate development 12.5 7.90E − 03
GO:0046983 MF Protein dimerization activity 18.8 9.20E − 03
GO:0048635 BP Negative regulation of muscle development 12.5 1.20E − 02
GO:0048634 BP Regulation of muscle development 12.5 1.60E − 02
KEGG_Id:480089056 KEGG pathway Notch signaling pathway 12.5 4.60E − 02

F 4 None None None None None

Orphan 2 None None None None None

All GO annotations terms in the table were from gene ontology database (http://www.geneontology.org/). GO annotations included every layer of biological process, molecular function, cellular component category, and KEGG pathway. When a GO term and its sublayer GO are both enriched in a group significantly, only deeper layer GO annotation is shown in the table. BP: biological process; MF: molecular function. The above table showed the GO annotations enriched significantly (P < 0.05) in each group. aGO coherence of each group, measured as the percentage of genes in group covered by the GO category.

Among the genes, more than half were annotated as exhibiting “transcription regulator activity” and/or “regulation of transcription” or similar terms related to DNA-dependent regulation of transcription, DNA binding, or regulation of RNA metabolic process in the BP and MF categories. There were three significant KEEG pathways, that is, circadian rhythm (KEGG ID: 480089074, P value 0.0039), TGF-beta signaling pathway (KEGG Id: 480089058, P value 0.0024), and Notch signaling pathway (KEGG Id: 480089056, P value 0.046), and few significant GO terms for bHLH genes identified in the CC category for Xenopus tropicalis bHLH proteins in DAVID Bioinformatics Database [32]. In the BP category, a total of 47.83% of the significant GO annotations were annotated as transcription and transcription (factor) activity and/or regulation of transcription, while 28.26% of GO annotations were connected to muscle cell development or differentiation and 26.09% of GO annotations were related to negative regulation of cellular biosynthetic or macromolecular metabolic processes. Several genes in the BP category were associated with neural tube development, floor plate development, sensory organ development, chordate embryonic development, hormone receptor binding, and so forth. In the MF category, 56.25% of GO annotations were connected to transcription factor binding or transcription regulator activity, while 3 out of 16 of the GO annotations were related to DNA binding.

DNA binding, protein dimerization, and transcription coactivator activity are important functional activities of bHLH domains. The DNA binding activity of bHLH proteins is mainly determined by the basic region [2]. Site-directed mutagenesis experiments and the crystal structure studies of bHLH proteins showed that the Glu-9/Arg-12 pair forms the CANNTG recognition motif, the critical Glu-9 contacts the first CA in the DNA-binding motif, and the role of Arg-12 is to fix and stabilize the position of the Glu-9 [3538, 47]. To further understand the functions of Xenopus tropicalis bHLH genes as a whole, we collected GO enrichment data on the 105 Xenopus tropicalis bHLH genes with significant hypergeometric P values. Among all of the GO terms, 65 significant GO terms (P ≤ 0.05) were identified showing key cellular components, molecular functions, biological processes, and KEGG pathways for the 105 Xenopus tropicalis bHLH genes (Table 2). Muscle organ development, embryonic development ending in birth or egg hatching, chordate embryonic development, sensory organ development, neural tube development, camera-type eye development and eye development, floor plate development, and muscle fiber and tissue development have high frequencies when taking no account of the frequent GO term categories of transcriptional factors such as (negative) regulation of transcription and regulation of metabolism and biosynthetic processes. It has been well known that the bHLH genes in various groups have special recognition motifs of DNA-binding sites such as E-box and G-box. So, how about the gene functions of each group? To explore these issues, we calculated the hypergeometric distribution enrichment score of gene molecular functions from group A to group F based on GO annotations of GO term categories including biological process, molecular function, cellular component, KEGG pathways, and other key words. However, only significant enriched annotations (cut off P ≤ 0.05) in deeper layers (sublayers) are shown in Table 2. GO statistics analyzed with a brief summary of subtypes describing each subgroup are also listed in Table 2.

Our analysis focused on significant GO terms for all of the whole Xenopus tropicalis bHLH gene family and for each subgroup (Table 2). We found that each subgroup (except for D and F with few members identified) of bHLH transcription factors has its own specific GO term categories (Table 2), when common GO terms of transcription such as transcription regulator activity, regulation of transcription, and DNA binding and protein dimerization activity are discounted. Group A is characterized with muscle organ development such as (striated) muscle cell differentiation and development, (skeletal) muscle fiber development, (extraocular) skeletal muscle tissue development, and striated muscle and pharyngeal muscle development. In addition, digestive system development, pharynx development, and sensory organ development are also included in this group (Table 2). The functions of bHLH members of group B and group C are mainly composed of transcription, transcription regulator activity, and regulation of transcription. However, group B is different from group C with some GO terms such as transcription coactivator activity, transcription cofactor activity, and (nuclear) hormone receptor binding (Table 2). Group E is composed of some functionally diversified transcription regulators whose GO terms are enriched in many aspects of transcription, such as transcription regulator activity, (negative) regulation of transcription, (negative) regulation of RNA metabolic process, (negative) regulation of transcription from RNA polymerase II promoter, (negative) regulation of nucleobase, nucleoside, and nucleotide and nucleic acid metabolic process, (negative) regulation of biosynthetic process, DNA binding, and protein heterodimerization activity. There are some special GO terms in group E, such as chordate embryonic development, floor plate development, neural tube development, anterior/posterior pattern formation, and (negative) regulation of muscle development (Table 2). KEGG terms, like TGF-beta signaling pathway and Notch signaling pathway, also provide key annotations and insights for bHLH members in group E.

3.4. Pathways Analysis

We could identify and select significantly enriched gene ontology terms and pathways using DAVID [31, 32] and KOBAS [3335] in the present study. We selected functional categories that were more likely to be biologically meaningful by calculating the statistical significance of each functional category in the input set of genes versus all annotated genes in the Xenopus tropicalis genome. After the GO annotations of Xenopus tropicalis bHLH transcription factors with the DAVID Bioinformatics Tools, all of the bHLH transcription factor genes were also subjected to KOBAS analysis (http://kobas.cbi.pku.edu.cn/home.do) and significant pathways were retrieved at the default P values. We applied KOBAS to first annotate all of the genes with KO and to then identify both the most frequent and the statistically significantly enriched pathways. With the strict cutoff of FDR ≤ 0.05, KOBAS found statistically significantly enriched pathways in public databases, such as KEEG, Reactome, and PANTHER, as shown in Table 3. Using this threshold, we identified 16 pathways as induced in the Xenopus tropicalis genomic gene samples (Table 3). Among these pathways, 11 pathways were from KEEG database, while six pathways were at the significant level of P ≤ 0.05. Interestingly, four of the main central cell signaling systems, that is, Notch signaling pathway, Wnt signaling pathway, TGF-beta signaling pathway, and MAPK signaling pathway, were identified. There were two most significant components related to Notch signaling pathway (corrected P value 0.0024084 and 0.0150668) and circadian clock and/or circadian rhythm regulation (corrected P value 0.0001219 and 0.0398896), respectively. The Jak-STAT signaling pathway, which is regarded as one of the central cell signaling systemS for muscle development, was identified too. It was the same case that many bHLH proteins were enriched in TGF-beta signaling pathway and Notch signaling pathway as annotated using DAVID Bioinformatics Resources. Furthermore, many interesting pathways were also identified as significantly, such as ErbB signaling pathway, Fanconi anemia pathway, and herpes simplex infection.

3.5. Protein Interaction Network

To identify putative functional units that consist of proteins coded by the differentially expressed genes, direct and indirect interactions between these proteins were derived using the STRING search tool, which creates PIN files based on previously reported interactions between proteins. Based on 93 bHLH proteins and their 10 predicted functional partners (CARM1, INSIG2, MEF2C, VHL, INSIG1, MGC75596, NOTCH1, DLL1, and SCAP; relevant coefficient ≥ 0.967) in Xenopus tropicalis genomic databases, large PIN files were derived and investigated for the presence of hub proteins defined as proteins with at least five interactions to other proteins (Figure 2). Altogether, 68 hub proteins were identified (i.e., MESPA, MESPB, MSGN1, EBF2, NEUROD6, NEUROD4, NEUROD2, NEUROD1, NEUROG1, NEUROG3, NHLH1, TCF21, TCF12, TCF4, TFEB, TFE3, HES4, HES5.1, HES7.1, HES1, DLL1, SIM1, SIM2, ID2, ID3, ID4, MYF6, MYF5, MYOG, MYOD1, NOTCH1, OLIG2, OLIG3, OLIG4, LYL1, HEY1, HEY2, TWIST1, HAND1, HAND2, MEF2C, MGC75596, MLX, MXI1, MAX, LMYC1, MNT, MYC, PTF1A, TAL1, MSC, TAL2, ATOH1, ATOH7, ARNT, ARNT2, AHR1, BHLHE40, BHLHE41, HIF1A, VHL, CLOCK, EPAS1, CARM1, NCOA1, NCOA2, NCOA3, and SREBF2; it should be noted that there are some aliases of bHLH proteins existing in the public databases). Among all proteins in the STRING databases, those were core-connected and had higher expression in many experimental data in the regulatory interaction network (Figure 2).

Figure 2.

Figure 2

STRING mapping profiles of protein interaction network (PIN) representing bHLH transcription factor protein interactions. Panel (a) showed the main figure of PIN profile and connectivity of hub proteins and the others. The protein interacting gene products are marked in blue and green lines. There are totally 68 hub proteins identified and many hub proteins created a tight network or a functional module within their protein families. Panel (b) magnified the implication of different connective lines with different data sources in the main figure.

Interestingly, many hub proteins created a tight network or a functional module within their protein families, such as NEUROD6, NEUROD4, NEUROD2, NEUROD1, NEUROG1, NEUROG3, HES4, HES5.1, HES7.1, HES1, ID2, ID3, ID4, MYF6, MYF5, MYOG, MYOD1, MLX, MXI1, MAX, MITF, and MNT, which are all involved in the same or similar cellular machinery components and/or genetic functions (Figure 2).

4. Concluding Remarks

In this research, we have identified 105 bHLH domains and their protein sequences in the Xenopus tropicalis genome databases by TBLASTN, BLASTP, and PSI-BLAST searches with the 45 representative bHLH domains as query sequences. Among these bHLH members, 34 hypothetical proteins, such as LOC100124777, were newly annotated by computational analysis and verified by EST searching in this research. These uncharacterized putative bHLH proteins may be novel transcription factors, which need further validation. The prediction of Xenopus tropicalis bHLH transcriptional factors will be very useful for the experiment identifying novel bHLH transcription factors and the construction of transcriptional regulatory network of Xenopus tropicalis. Through phylogenetic analyses of the Xenopus tropicalis bHLH protein domains with human bHLH orthologous protein sequences, we assigned the 105 Xenopus tropicalis bHLH genes to 43 families and two orphan genes according to the 45 defined bHLH families [3, 11]. Two families, for example, Mist and Delilah, were not found in the study.

Further analysis of the Xenopus tropicalis bHLH transcription factors and their functional properties showed that 96 out of 105 bHLH genes could be annotated and only four supergroups' GO enrichment by categories were available [4]. GO enrichment statistics showed 65 significant GO annotations of biological processes and molecular functions counted in frequency. Besides common GO term categories of bHLH transcriptional factors, a large number of Xenopus tropicalis bHLH genes play significant role in muscle and organ development, chordate and neural development, floor plate and eye development, and so forth [3943, 4855]. Moreover, as the group analysis results described, different groups of proteins have their special gene functions when taking no account of the common GO term categories. The trends of the gene function enrichment may be led by their DNA-binding specificity [5155]. Therefore, the biology function of the uncharacterized genes or proteins can be predicted through the function GO annotation of the group analysis. To explore the functional pathways, regulatory gene networks and/or related gene groups coding for Xenopus tropicalis bHLH proteins, the identified bHLH genes were put into the databases KOBAS and STRING to get the signaling information of pathways and protein interaction networks according to available public databases and known protein interactions. From the KOBAS genomic annotation and pathway analysis, we identified 16 pathways in the Xenopus tropicalis genome. From the STRING interaction analysis, 68 hub proteins were identified and many hub proteins created a tight network or a functional module within their protein families.

The present research deepens our knowledge of frog bHLH transcription factors and provides a solid framework for further research on the functional and evolutionary aspects of Xenopus tropicalis bHLH transcription factors.

Acknowledgments

The authors are grateful to the anonymous reviewers for the suggestions. This work was supported by the National Natural Science Foundation of China (no. 31071310), the Anhui Provincial Natural Science Foundation (nos. 1308085QC63 and 1208085MC55), the Programs for Science and Technology Development of Anhui Province (no. 12010302066), and the Key Project of Anhui Provincial Educational Commission Natural Science Foundation (no. KJ2012A216).

References

  • 1.Atchley WR, Fitch WM. A natural classification of the basic helix-loop-helix class of transcription factors. Proceedings of the National Academy of Sciences of the United States of America. 1997;94(10):5172–5176. doi: 10.1073/pnas.94.10.5172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Massari ME, Murre C. Helix-loop-helix proteins: regulators of transcription in eucaryotic organisms. Molecular and Cellular Biology. 2000;20(2):429–440. doi: 10.1128/mcb.20.2.429-440.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Ledent V, Vervoort M. The basic helix-loop-helix protein family: comparative genomics and phylogenetic analysis. Genome Research. 2001;11(5):754–770. doi: 10.1101/gr.177001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Ledent V, Paquet O, Vervoort M. Phylogenetic analysis of the human basic helix-loop-helix proteins. Genome biology. 2002;3(6):301–318. doi: 10.1186/gb-2002-3-6-research0030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Jones S. An overview of the basic helix-loop-helix proteins. Genome Biology. 2004;5(6, article 226) doi: 10.1186/gb-2004-5-6-226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Simionato E, Ledent V, Richards G, et al. Origin and diversification of the basic helix-loop-helix gene family in metazoans: insights from comparative genomics. BMC Evolutionary Biology. 2007;7, article 33:18 pages. doi: 10.1186/1471-2148-7-33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Liu W, Zhao C. Molecular phylogenetic analysis of zebra finch basic helix-loop-helix transcription factors. Biochemical Genetics. 2011;49(3-4):226–241. doi: 10.1007/s10528-010-9401-9. [DOI] [PubMed] [Google Scholar]
  • 8.Wang Y, Chen K, Yao Q, Wang W, Zhu Z. The basic helix-loop-helix transcription factor family in the honey bee, Apis mellifera . Journal of Insect Science. 2008;8(40):1–12. doi: 10.1673/031.008.4001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Dang C, Wang Y, Zhang D, Yao Q, Chen K. A genome-wide survey on basic helix-loop-helix transcription factors in giant panda. PLoS ONE. 2011;6(11) doi: 10.1371/journal.pone.0026878.e26878 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Liu A, Wang Y, Dang C, et al. A genome-wide identification and analysis of the basic helix-loop-helix transcription factors in the ponerine ant, Harpegnathos saltator . BMC Evolutionary Biology. 2012;12(165):1–14. doi: 10.1186/1471-2148-12-165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Carretero-Paulet L, Galstyan A, Roig-Villanova I, Martínez-García JF, Bilbao-Castro JR, Robertson DL. Genome-wide classification and evolutionary analysis of the bHLH family of transcription factors in Arabidopsis, poplar, rice, moss, and algae. Plant Physiology. 2010;153(3):1398–1412. doi: 10.1104/pp.110.153593. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Murre C, Schonleber McCaw P, Baltimore D. A new DNA binding and dimerization motif in immunoglobulin enhancer binding, daughterless, MyoD, and myc proteins. Cell. 1989;56(5):777–783. doi: 10.1016/0092-8674(89)90682-x. [DOI] [PubMed] [Google Scholar]
  • 13.Atchley WR, Terhalle W, Dress A. Positional dependence, cliques, and predictive motifs in the bHLH protein domain. Journal of Molecular Evolution. 1999;48(5):501–516. doi: 10.1007/pl00006494. [DOI] [PubMed] [Google Scholar]
  • 14.Atchley WR, Wollenberg KR, Fitch WM, Terhalle W, Dress AW. Correlations among amino acid sites in bHLH protein domains: an information theoretic analysis. Molecular Biology and Evolution. 2000;17(1):164–178. doi: 10.1093/oxfordjournals.molbev.a026229. [DOI] [PubMed] [Google Scholar]
  • 15.Toledo-Ortiz G, Huq E, Quail PH. The Arabidopsis basic/helix-loop-helix transcription factor family. Plant Cell. 2003;15(8):1749–1770. doi: 10.1105/tpc.013839. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Liu W-Y. Identification and evolutionary analysis of the Xenopus tropicalis bHLH transcription factors. Yi Chuan. 2012;34(1):59–71. doi: 10.3724/sp.j.1005.2012.00059. [DOI] [PubMed] [Google Scholar]
  • 17.Buck MJ, Atchley WR. Phylogenetic analysis of plant basic helix-loop-helix proteins. Journal of Molecular Evolution. 2003;56(6):742–750. doi: 10.1007/s00239-002-2449-3. [DOI] [PubMed] [Google Scholar]
  • 18.Heim MA, Jakoby M, Werber M, Martin C, Weisshaar B, Bailey PC. The basic helix-loop-helix transcription factor family in plants: a genome-wide study of protein structure and functional diversity. Molecular Biology and Evolution. 2003;20(5):735–747. doi: 10.1093/molbev/msg088. [DOI] [PubMed] [Google Scholar]
  • 19.Li J, Liu Q, Qiu M, Pan Y, Li Y, Shi T. Identification and analysis of the mouse basic/Helix-Loop-Helix transcription factor family. Biochemical and Biophysical Research Communications. 2006;350(3):648–656. doi: 10.1016/j.bbrc.2006.09.114. [DOI] [PubMed] [Google Scholar]
  • 20.Li X, Duan X, Jiang H, et al. Genome-wide analysis of basic/helix-loop-helix transcription factor family in rice and Arabidopsis. Plant Physiology. 2006;141(4):1167–1184. doi: 10.1104/pp.106.080580. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Wang Y, Chen K, Yao Q, Wang W, Zhu Z. The basic helix-loop-helix transcription factor family in Bombyx mori . Development Genes and Evolution. 2007;217(10):715–723. doi: 10.1007/s00427-007-0184-x. [DOI] [PubMed] [Google Scholar]
  • 22.Wang Y, Chen K, Yao Q, Zheng X, Yang Z. Phylogenetic analysis of Zebrafish basic helix-loop-helix transcription factors. Journal of Molecular Evolution. 2009;68(6):629–640. doi: 10.1007/s00239-009-9232-7. [DOI] [PubMed] [Google Scholar]
  • 23.Pires N, Dolan L. Origin and diversification of basic-helix-loop-helix proteins in plants. Molecular biology and evolution. 2010;27(4):862–874. doi: 10.1093/molbev/msp288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Sailsbery JK, Atchley WR, Dean RA. Phylogenetic analysis and classification of the fungal bHLH domain. Molecular Biology and Evolution. 2012;29(5):1301–1318. doi: 10.1093/molbev/msr288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Zheng X, Wang Y, Yao Q, Yang Z, Chen K. A genome-wide survey on basic helix-loop-helix transcription factors in rat and mouse. Mammalian Genome. 2009;20(4):236–246. doi: 10.1007/s00335-009-9176-7. [DOI] [PubMed] [Google Scholar]
  • 26.Carruthers S, Stemple DL. Genetic and genomic prospects for Xenopus tropicalis research. Seminars in Cell and Developmental Biology. 2006;17(1):146–153. doi: 10.1016/j.semcdb.2005.11.009. [DOI] [PubMed] [Google Scholar]
  • 27.Bowes JB, Snyder KA, Segerdell E, et al. Xenbase: a xenopus biology and genomics resource. Nucleic Acids Research. 2008;36(1):D761–D767. doi: 10.1093/nar/gkm826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Hellsten U, Harland RM, Gilchrist MJ, et al. The genome of the western clawed frog Xenopus tropicalis . Science. 2010;328(5978):633–636. doi: 10.1126/science.1183670. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Thompson JD, Gibson TJ, Plewniak F, Jeanmougin F, Higgins DG. The CLUSTAL X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Research. 1997;25(24):4876–4882. doi: 10.1093/nar/25.24.4876. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Nicholas KB, Nicholas HB. GeneDoc: a tool for editing and annotating multiple sequence alignments. Distributed by the author, 1997.
  • 31.Dennis G, Jr., Sherman BT, Hosack DA, et al. DAVID: database for annotation, visualization, and integrated discovery. Genome Biology. 2003;4(5):p. 3. [PubMed] [Google Scholar]
  • 32.Huang DW, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature Protocols. 2009;4(1):44–57. doi: 10.1038/nprot.2008.211. [DOI] [PubMed] [Google Scholar]
  • 33.Mao X, Cai T, Olyarchuk JG, Wei L. Automated genome annotation and pathway identification using the KEGG Orthology (KO) as a controlled vocabulary. Bioinformatics. 2005;21(19):3787–3793. doi: 10.1093/bioinformatics/bti430. [DOI] [PubMed] [Google Scholar]
  • 34.Wu J, Mao X, Cai T, Luo J, Wei L. KOBAS server: a web-based platform for automated annotation and pathway identification. Nucleic Acids Research. 2006;34:W720–W724. doi: 10.1093/nar/gkl167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Xie C, Mao X, Huang J, et al. KOBAS 2.0: a web server for annotation and identification of enriched pathways and diseases. Nucleic Acids Research. 2011;39(2):W316–W322. doi: 10.1093/nar/gkr483. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.von Mering C, Jensen LJ, Snel B, et al. STRING: known and predicted protein-protein associations, integrated and transferred across organisms. Nucleic Acids Research. 2005;33:D433–D437. doi: 10.1093/nar/gki005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Szklarczyk D, Franceschini A, Kuhn M, et al. The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored. Nucleic Acids Research. 2011;39(1):D561–D568. doi: 10.1093/nar/gkq973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Szklarczyk D, Franceschini A, Kuhn M, et al. STRING v9.1: protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Research. 2013;41(1):D808–D815. doi: 10.1093/nar/gks1094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Fujii Y, Shimizu T, Toda T, Yanagida M, Hakoshima T. Structural basis for the diversity of DNA recognition by bZIP transcription factors. Nature Structural Biology. 2000;7(10):889–893. doi: 10.1038/82822. [DOI] [PubMed] [Google Scholar]
  • 40.Fisher F, Goding CR. Single amino acid substitutions alter helix-loop-helix protein specificity for bases flanking the core CANNTG motif. EMBO Journal. 1992;11(11):4103–4109. doi: 10.1002/j.1460-2075.1992.tb05503.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Ferre-D’Amare AR, Prendergast GC, Ziff EB, Burley SK. Recognition by Max of its cognate DNA through a dimeric b/HLH/Z domain. Nature. 1993;362(6424):38–45. doi: 10.1038/363038a0. [DOI] [PubMed] [Google Scholar]
  • 42.Ahmadpour F, Ghirlando R, de Jong AT, Gloyd M, Shin JA, Guarné A. Crystal structure of the minimalist Max-e47 protein chimera. PLoS ONE. 2012;7(2) doi: 10.1371/journal.pone.0032136.e32136 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Ellenberger T, Fass D, Arnaud M, Harrison SC. Crystal structure of transcription factor E47: E-box recognition by a basic region helix-loop-helix dimer. Genes and Development. 1994;8(8):970–980. doi: 10.1101/gad.8.8.970. [DOI] [PubMed] [Google Scholar]
  • 44.Guindon S, Gascuel O. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Systematic Biology. 2003;52(5):696–704. doi: 10.1080/10635150390235520. [DOI] [PubMed] [Google Scholar]
  • 45.Jones DT, Taylor WR, Thornton JM. The rapid generation of mutation data matrices from protein sequences. Computer Applications in the Biosciences. 1992;8(3):275–282. doi: 10.1093/bioinformatics/8.3.275. [DOI] [PubMed] [Google Scholar]
  • 46.Tamura K, Dudley J, Nei M, Kumar S. MEGA4: molecular evolutionary genetics analysis (MEGA) software version 4.0. Molecular Biology and Evolution. 2007;24(8):1596–1599. doi: 10.1093/molbev/msm092. [DOI] [PubMed] [Google Scholar]
  • 47.Huelsenbeck JP, Ronquist F. MRBAYES: bayesian inference of phylogenetic trees. Bioinformatics. 2001;11(8):754–755. doi: 10.1093/bioinformatics/17.8.754. [DOI] [PubMed] [Google Scholar]
  • 48.Campos-Ortega JA. Mechanisms of early neurogenesis in Drosophila melanogaster . Journal of Neurobiology. 1993;24(10):1305–1327. doi: 10.1002/neu.480241005. [DOI] [PubMed] [Google Scholar]
  • 49.Sousa-Nunes R, Cheng LY, Gould AP. Regulating neural proliferation in the Drosophila CNS. Current Opinion in Neurobiology. 2010;20(1):50–57. doi: 10.1016/j.conb.2009.12.005. [DOI] [PubMed] [Google Scholar]
  • 50.Lin S, Lee T. Generating neuronal diversity in the Drosophila central nervous system. Developmental Dynamics. 2012;241(1):57–68. doi: 10.1002/dvdy.22739. [DOI] [PubMed] [Google Scholar]
  • 51.Shimizu T, Toumoto A, Ihara K, et al. Crystal structure of PHO4 bHLH domain-DNA complex: flanking base recognition. EMBO Journal. 1997;16(15):4689–4697. doi: 10.1093/emboj/16.15.4689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Morgenstern B, Atchley WR. Evolution of bHLH transcription factors: modular evolution by domain shuffling? Molecular Biology and Evolution. 1999;16(12):1654–1663. doi: 10.1093/oxfordjournals.molbev.a026079. [DOI] [PubMed] [Google Scholar]
  • 53.Lu Y, Rausher MD. Evolutionary rate variation in anthocyanin pathway genes. Molecular Biology and Evolution. 2003;20(11):1844–1853. doi: 10.1093/molbev/msg197. [DOI] [PubMed] [Google Scholar]
  • 54.Streisfeld MA, Rausher MD. Relaxed constraint and evolutionary rate variation between basic helix-loop-helix floral anthocyanin regulators in Ipomoea. Molecular Biology and Evolution. 2007;24(12):2816–2826. doi: 10.1093/molbev/msm216. [DOI] [PubMed] [Google Scholar]
  • 55.Streisfeld MA, Liu D, Rausher MD. Predictable patterns of constraint among anthocyanin-regulating transcription factors in Ipomoea. New Phytologist. 2011;191(1):264–274. doi: 10.1111/j.1469-8137.2011.03671.x. [DOI] [PubMed] [Google Scholar]

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