Literature DB >> 28089161

Genome-wide gene expression patterns in dikaryon of the basidiomycete fungus Pleurotus ostreatus.

Tianxiang Liu1, Huiru Li1, Yatong Ding1, Yuancheng Qi1, Yuqian Gao1, Andong Song1, Jinwen Shen1, Liyou Qiu2.   

Abstract

Dikarya is a subkingdom of fungi that includes Ascomycota and Basidiomycota. The gene expression patterns of dikaryon are poorly understood. In this study, we bred a dikaryon DK13×3 by mating monokaryons MK13 and MK3, which were from the basidiospores of Pleurotus ostreatus TD300. Using RNA-Seq, we obtained the transcriptomes of the three strains. We found that the total transcript numbers in the transcriptomes of the three strains were all more than ten thousand, and the expression profile in DK13×3 was more similar to MK13 than MK3. However, the genes involved in macromolecule utilization, cellular material synthesis, stress-resistance and signal transduction were much more up-regulated in the dikaryon than its constituent monokaryons. All possible modes of differential gene expression, when compared to constituent monokaryons, including the presence/absence variation, and additivity/nonadditivity gene expression in the dikaryon may contribute to heterosis. By sequencing the urease gene poure sequences and mRNA sequences, we identified the monoallelic expression of the poure gene in the dikaryon, and its transcript was from the parental monokaryon MK13. Furthermore, we discovered RNA editing in the poure gene mRNA of the three strains. These results suggest that the gene expression patterns in dikaryons should be similar to that of diploids during vegetative growth.
Copyright © 2016 Sociedade Brasileira de Microbiologia. Published by Elsevier Editora Ltda. All rights reserved.

Entities:  

Keywords:  Differential gene expression; Monoallelic expression; Monokaryon; RNA editing; RNA-Seq

Mesh:

Year:  2017        PMID: 28089161      PMCID: PMC5470450          DOI: 10.1016/j.bjm.2016.12.005

Source DB:  PubMed          Journal:  Braz J Microbiol        ISSN: 1517-8382            Impact factor:   2.476


Introduction

Dikaryon is a unique organism in which each compartment of a hypha contains two haploid nuclei, each derived from a different parent. It consists of a subkingdom of fungi Dikarya, including Ascomycota and Basidiomycota. A dikaryon strain is formed by mating two compatible monokaryon strains, resulting in plasmogamy but not karyogamy in the fused compartment. When new hyphae grow, the two nuclei synchronously divide, and each new compartment keeps two nuclei; karyogamy only occurs before the initiation of sexual reproduction. This sexual reproduction mode was distinctly different from that in diploids. The interaction between the genetic materials of the two nuclei in dikaryons has not been well characterized. Are the modes of gene action in dikaryons the same as that in diploids during vegetative growth? The major types of gene expression patterns found in diploids during vegetative growth are mitotic crossover or mitotic recombination,2, 3 DNA methylation and gene silencing by RNAi, monoallelic expression (sex chromosome inactivation, imprinted gene expression, or autosomal random monoallelic expression), RNA-editing, and differential allele expression in hybrids and parents that contributes to heterosis, etc. Mitotic recombination (also named parasexuality in fungi), DNA methylation and gene silencing by RNAi were also found in dikaryons,8, 9, 10 while monoallelic expression and RNA-editing have not been identified in the dikaryon. Although not strictly true for all reported species, in terms of the growth rate, enzyme activity and pathogenicity, diploids have a significant advantage over their parental haploids, which is similar to what is exhibited when dikaryons are compared to their parental monokaryons. It was proposed that the heterosis in diploids resulted from the allele gene differential expression in hybrids and their parents, such as presence/absence variation and additive/non-additive (high- and low-parent dominance, underdominance, and overdominance) gene expression.11, 12, 13, 14 The mechanism of heterosis in dikaryons remains obscure. An effective approach for exploring the allele gene differential expression in dikaryons is the comparison of soluble protein profiles or isoenzyme patterns between a dikaryon and its constituent monokaryons. The soluble protein profile of Schizophyllum commune dikaryon was dramatically different from that of its parental monokaryons, and there are many new bands in the dikaryon; further studies showed that 14 out of 15 isoenzyme patterns changed between the dikaryon and two monokaryons. Similar results were also reported in other basidiomycetes, such as Coprinus congregatus and Coprinopsis cinerea. Those studies indicated that alleles had different expression patterns in dikaryons and monokaryons. However, subsequent studies found no such difference in higher basidiomycetes and suggested that those reported differences were probably caused by growth conditions and the electrophoresis procedure.19, 20 Since then, many other observations have confirmed such findings. For example, comparing S. commune monokaryons and the dikaryon, protein two-dimensional gel electrophoresis showed only 6.6% and 7.7% differences, and the sequence complexities and coding properties of polysomal RNA and total RNA had no detectable difference.22, 23 Nevertheless, using gene expression profiling, the relative differences in the transcription quantity of the 12 laccase genes in the Pleurotus ostreatus dikaryon and its two parental monokaryons showed that the dikaryotic superiority in laccase activity was due to non-additive transcriptional increases in two genes. Genome-wide gene expression pattern analysis of dikaryons and their parental monokaryons has not been reported. Oyster mushroom P. ostreatus (Jacq. Fr) Kumm. is a white rot basidiomycete that is an important edible and medical mushroom,25, 26, 27 and it has been studied as a model organism for basidiomycete genetics and genomic studies. In this study, we compared the genome-wide transcriptional profiles among the dikaryon and its two constituent monokaryons of P. ostreatus by Solexa-based RNA-Seq with a focus on the transcriptomic profiling difference analysis between the dikaryon and monokaryons, investigation of the mechanisms of the advantages of sexual reproduction, monoallelic expression, and RNA-editing in dikarya.

Materials and methods

Strains and culture conditions

Monokaryons MK13 and MK3 were from the basidiospores of P. ostreatus TD300, which is a commercial cultivation strain in China and was obtained from Zhengzhou Composite Experiment station, China Edible Fungi Research System (Zhengzhou, China). The mycelial growth rate of MK3 was faster than MK13 on potato dextrose agar (PDA) plates (Fig. 1). Dikaryon DK13 × 3 was from MK13 and MK3 through A1B1 and A2B2 mating, as identified using mating tests. DK13 × 3 grew faster than its constituent monokaryons in PDA and formed normal fruiting bodies with a biological efficiency that was similar to TD300 in cottonseed hull medium (Fig. 2). The three strains were cultured in potato dextrose broth (150 mL in a 500-mL flask) at 25 °C under 150 rpm shaking; mycelia were harvested in the late exponential phase (10 and 25 days of culturing for dikaryon and monokaryons, respectively) for DNA or total RNA extraction.
Fig. 1

Mycelial growth of the monokaryons and reconstituted dikaryon of Pleurotus ostreatus on PDA plates. MK13, monokaryon; MK3, monokaryon; DK13 × 3, dikaryon; TD300, dikaryon and the two monokaryons’ parent; MGR, mycelial growth rate. Data are given as the means and SE of four replicates. Data with the same lower case letter do not significantly differ from other data at p < 0.05.

Fig. 2

Fruiting body morphology and biological efficiency of TD300 and DK13 × 3 in cottonseed hull medium. Biological efficiency indicates the percentage of the fresh weight of harvested 1st and 2nd flush mushrooms over the dry weight of inoculated substrates.

Mycelial growth of the monokaryons and reconstituted dikaryon of Pleurotus ostreatus on PDA plates. MK13, monokaryon; MK3, monokaryon; DK13 × 3, dikaryon; TD300, dikaryon and the two monokaryons’ parent; MGR, mycelial growth rate. Data are given as the means and SE of four replicates. Data with the same lower case letter do not significantly differ from other data at p < 0.05. Fruiting body morphology and biological efficiency of TD300 and DK13 × 3 in cottonseed hull medium. Biological efficiency indicates the percentage of the fresh weight of harvested 1st and 2nd flush mushrooms over the dry weight of inoculated substrates.

RNA extraction, cDNA library construction and RNA-Seq

Mycelia were isolated from culture broth by centrifugation at 5000 × g for 10 min; 100 g of fresh mycelia was homogenized in liquid nitrogen; and total RNA was extracted using an RNA pure total RNA fast isolation kit (Bioteke, Beijing, China). The total RNA was used for RT-PCR or enrichment of mRNA (poly(A) + RNA) with a Dynabeads mRNA Purification Kit (Invitrogen, Grand Island, NY), and mRNA was then broken into short fragments. Using these short fragments as templates, first- and second-strand cDNA were synthesized. Sequencing adapters, which also served as sample markers, were ligated to short fragments after purification with a QiaQuick PCR Extraction Kit (Qiagen, Hilden, Germany). Fragments that were 200–700 bp were then separated by agarose gel electrophoresis and selected for PCR amplification as sequencing templates. The three strain libraries were sequenced using Illumina HiSeq™ 2000 by the Beijing Genome Institute (BGI) (Shenzhen, China).

Sequencing reads filtering

Raw reads contained low-quality, adaptor-polluted and high contents of unknown base (N) reads, and these noise reads should be removed before downstream analyses. We used internal software to filter reads. After filtering, the remaining reads were called “Clean Reads” and stored in the FASTQ format.

De novo assembly and sequencing assessment

Contigs were assembled from clean reads using a de novo assembler Trinity; then, non-redundant unigene sets for all three strains were constructed using the EST assembly program TGICL. An all-unigene set was produced from the three contig datasets by further sequence overlap splicing and non-redundancies.

Genome mapping and gene expression analysis

Clean reads were mapped to the reference genome sequence of Pleurotus ostreatus PC15 (http://genome.jgi-psf.org/PleosPC15_2/PleosPC15_2.home.html) using Bowtie2; then, the gene expression level was calculated using RSEM.

Differential unigene expression analysis

The unigene expression levels were calculated using the Reads per kb per Million reads (RPKM) method. Under the null hypothesis of equal expression between two samples, the following test gives the p-values for identifying differentially expressed genes (DEGs) between two samples. N1 is the total number of clean tags in MK3 or MK13; N2 is the number in DK13 × 3; x is the number of the clean tags of the target gene in MK3 or MK13, and y is the number in DK13 × 3. p ≤ 0.001 and |log2Ratio| ≥ 1 were used as the threshold to filter DEGs. The DEGs expressed in all three strains were used to estimate the mid-parent expression value (MPV). The MPV was calculated by averaging the expression level of the parental monokaryons, assuming an (MK3:MK13) ratio of RNA abundance in the nucleus of Dikaryon DK13 × 3 of 1:1, as described elsewhere.

Cloning and sequencing of the urease gene

To validate the gene expression profiles obtained by RNA-seq, urease gene poure of the monokaryons and dikaryon was cloned, amplified, and sequenced. Cloning was performed by colony direct PCR using primers POU1 (GCATTTTGATTGGCAGGGT) and POU2 (AGTGATTACGGCAGGGCG) at PCR conditions of 94 °C for 30 s, 51 °C for 40 s, and 72 °C for 3 min, which were repeated 31 times. mRNAs were amplified using RT-PCR with primers POU3 (TTACCGAGGGAAGAAGCGAA) and POU4 (GGTGGTGACAGAAACGGGAGTA), and PCR conditions were set at 94 °C for 30 s, 52 °C for 40 s, and 72 °C for 2 min, which was repeated 31 times. The PCR products of DNA and mRNA were purified and were then cloned into the pGEM-T Vector (Promega, Madison, WI, USA). The vectors were transformed into E. coli DH5α, and five transformants were randomly selected and sequenced by the Beijing Genome Institute (BGI) (Shenzhen, China).

Results

Quality assessment of RNA-seq datasets and mapping of the reference genome

Table 1 lists the statistics of the reads. The RNA-seq reads were of high quality; almost all mRNA fragments were sequenced, and 97% of the reads had a Phred quality score greater than 20. We mapped clean reads to the reference genome sequence of Pleurotus ostreatus PC15 (http://genome.jgi-psf.org/PleosPC15_2/PleosPC15_2.home.html) using HISAT. On average, 60.44% of reads are mapped, and the uniformity of the mapping result for each sample suggests that the samples are comparable. The GenBank accession number for the RNA-seq datasets of the three strains is BioProject Accession: PRJNA326297.
Table 1

Throughput and quality of RNA-Seq of the dikaryon and its constituent monokaryons of Pleurotus ostreatus.

StrainTotal raw reads (Mb)Total clean reads (Mb)Total clean bases (Gb)Clean reads Q20 (%)Clean reads ratio (%)Total mapping ratio (%)Uniquely mapping ratioa (%)
MK1320.2720.271.8297.19100.0064.7259.17
MK320.8120.811.8797.10100.0057.2852.56
DK13 × 320.5020.501.8497.24100.0059.3354.59

Unique mapping: reads that map to only one location of the reference, called unique mapping.

Throughput and quality of RNA-Seq of the dikaryon and its constituent monokaryons of Pleurotus ostreatus. Unique mapping: reads that map to only one location of the reference, called unique mapping.

Gene expression analysis

After genome mapping, we used StringTie to reconstruct transcripts, and with genome annotation information, we can identify novel transcripts in our samples using cuffcompare, a tool of cufflinks. In total, we identified 4261 novel transcripts. Then, we merged novel coding transcripts with the reference transcript to obtain a complete reference, mapped clean reads using Bowtie2, and calculated the gene expression level for each sample with RSEM. Thereupon, the total mapping ratios of the clean reads in the transcriptomes of the three strains were increased. Total transcript numbers were all more than ten thousand (Table 2).
Table 2

Summary of gene expression in the dikaryon and its constituent monokaryons of Pleurotus ostreatus.

StrainTotal mapping ratio (%)Uniquely mapping ratio (%)Total gene numberKnown gene numberNovel gene numberTotal transcript numberKnown transcript numberNovel transcript number
MK1366.9141.60955994679211,13476673467
MK366.9442.81938092938710,88374973386
DK13 × 365.4542.40965995659411,31978273492
Summary of gene expression in the dikaryon and its constituent monokaryons of Pleurotus ostreatus. We then calculated the read coverage and read distribution on each detected transcript. The Pearson correlation between the transcriptomes of the three strains was obtained. The Pearson correlations of the dikaryon DK13 × 3 to its constituent monokaryons, MK13 and MK3, were 0.8523 and 0.8100, respectively, while the Pearson correlation between the two monokaryons was 0.8124, indicating that the expression profile in DK13 × 3 was more similar to MK13 than MK3 (Fig. 3).
Fig. 3

Heatmap of Pearson correlations between the dikaryon and its constituent monokaryons of Pleurotus ostreatus.

Heatmap of Pearson correlations between the dikaryon and its constituent monokaryons of Pleurotus ostreatus.

Gene expression difference between the three strains

The total RPKMs of the unigenes in MK13, MK3 and DK13 × 3 were 559494, 550716, and 586583. The total RPKMs of the unigenes in DK13 × 3 were 4.8% and 6.5% higher than those in MK13 and MK3 (p < 0.05) (Fig. 4). Among the unigenes between DK13 × 3 and MK13 or MK3, the common unigenes of the three strains were 27.6%, the common unigenes for DK13 × 3 and MK13 were 10.8%, and the common unigenes for DK13 × 3 and MK3 were 11.3%. The special unigenes in DK13 × 3, MK13 and MK3 were 13.5%, 17.6%, and 15.5%, respectively. Up to 38% of unigenes in DK13 × 3 were derived from its parental monokaryons (Fig. 5), indicating that the gene expression pattern of present/absent variation occurred among the three strains, and more than one-third of the DEGs in the dikaryon were monoallelic expression genes.
Fig. 4

Comparison of the unigene expression levels between MK3 or MK13 and DK13 × 3. Up-regulated genes, down-regulated genes, and NOT DEGs were determined using a threshold of p ≤ 0.001 and |log2Ratio| ≥ 1. A, MK3 vs DK13 × 3; B, MK13 vs DK13 × 3; NOT DEGs, Unigenes were not obviously changed upon MK3 or MK13 to DK13 × 3.

Fig. 5

Distribution diagram of DEGs between MK3 or MK13 and DK13 × 3. DEGs were screened by a threshold of p ≤ 0.001 and |log2Ratio| ≥ 1.

Comparison of the unigene expression levels between MK3 or MK13 and DK13 × 3. Up-regulated genes, down-regulated genes, and NOT DEGs were determined using a threshold of p ≤ 0.001 and |log2Ratio| ≥ 1. A, MK3 vs DK13 × 3; B, MK13 vs DK13 × 3; NOT DEGs, Unigenes were not obviously changed upon MK3 or MK13 to DK13 × 3. Distribution diagram of DEGs between MK3 or MK13 and DK13 × 3. DEGs were screened by a threshold of p ≤ 0.001 and |log2Ratio| ≥ 1. Using p ≤ 0.001 and |log2Ratio| ≥ 1 as the standard to screen the differentially expressed genes (DEGs) between DK13 × 3 and MK13 or MK3, compared to MK13, the number of genes whose expression levels were up-regulated in DK13 × 3 was 11323; 7953 were up-regulated more than 3-fold, and 114 were up-regulated more than 15-fold. Additionally, 8421 genes were down-regulated; 2573 were down-regulated more than 3-fold, while none were down-regulated more than 15-fold (Fig. 6A). Compared to MK3, the number of genes whose expression was up-regulated in DK13 × 3 was 11578; 7787 were up-regulated more than 3-fold, and 116 were up-regulated more than 15-fold. Furthermore, 7425 genes were down-regulated; 2176 were down-regulated more than 3-fold, and 1 was down-regulated more than 15-fold (Fig. 6B). The results suggest that the number of up-regulated genes in the dikaryon was much higher than that of down-regulated genes, especially compared to the constituent monokaryons.
Fig. 6

Differentially expressed genes in dikaryon DK13 × 3 compared to parental monokaryons MK13 (A) or MK3 (B). RPKM, reads per kb per million reads.

Differentially expressed genes in dikaryon DK13 × 3 compared to parental monokaryons MK13 (A) or MK3 (B). RPKM, reads per kb per million reads. The genes in the dikaryon that were 15-fold up- or down-regulated compared with the monokaryons were examined with an NCBI online BLASTP homology analyzer. Additionally, 28 and 21 up-regulated genes were found to have related functions to annotated genes; no such genes were found for down-regulated genes. The up-regulated genes were primarily involved in macromolecule utilization, cellular material synthesis, stress resistance and signal transduction, etc. (Table 3, Table 4). These findings have provided evidence for the growth advantage that the dikaryon has over the constituent monokaryons.
Table 3

Function annotation of differentially expressed genes in dikaryon DK13 × 3 compared to its parental monokaryon MK13.

Gene IDLog2 ratioUp/downHomologous proteinNCBI IDE-value
Unigene2470518.9046UpMitochondrion proteinXP_567165.13E−37
Unigene801618.2889UpTetraspanin Tsp2 familyXP_001885708.11E−14
Unigene1766617.5877UpAlcohol dehydrogenase superfamily proteinXP_001833941.16E−59
Unigene2466917.4953UpNADH kinaseXP_001830329.21E−152
Unigene693917.286UpGlucosamine 6-phosphate N-acetyltransferaseXP_001834733.16E−63
Unigene396517.2631UpCystathionine beta-synthase (beta-thionase)XP_754772.13E−24
Unigene405317.126UpCalcium:hydrogen antiporterXP_002911846.14E−71
Unigene1294916.6756UpLarge surface exposed glycoprotein PsrPCBW35224.16E−28
Unigene2294116.5483UpHistone-like type 2XP_001831684.13E−36
Unigene2480016.5407UpMCMAXP_001835736.21E−111
Unigene1239616.2922UpOmpA family proteinYP_001236439.12E−10
Unigene2478916.252Up123RNP_149586.13E−09
Unigene1275516.18UpMembrane fraction proteinXP_001837650.11E−122
Unigene2472716.1761UpEndopeptidaseXP_001837196.11E−179
Unigene2478716.0545UpKLTH0E05940pXP_002553740.15E−06
Unigene2299415.9919UpCalcium/calmodulin-dependent protein kinaseBAF75875.11E−168
Unigene2463615.7398UpProteasome subunit alpha type 4XP_001830819.21E−131
Unigene2473815.7175UpType VI secretion system Vgr family proteinYP_001812335.13E−14
Unigene1754015.5547UpAlpha/beta hydrolase fold proteinYP_002430731.16E−24
Unigene286115.5003UpMucin-like protein 1XP_001835597.23E−08
Unigene963215.4441UpRibosomal protein P2XP_001831572.22E−41
Unigene1773215.3692UpNADH-ubiquinone oxidoreductase 21 kDa subunitXP_001835740.12E−63
Unigene1801215.3683UpEndo-1,3(4)-beta-glucanaseXP_001828985.11E−144
Unigene1272115.2793UpNADH-ubiquinone oxidoreductase 51 kDa subunitXP_001840875.10
Unigene2465315.189UpUbiquitin-conjugating enzyme 16EFP75491.17E−47
Unigene174915.1234UpCarboxy-cis,cis-muconate cyclaseXP_002850491.16E−10
Unigene2145515.1112UpMitochondrial ribosomal small subunitXP_001840218.21E−60
Unigene2336815.064UpGlycoside hydrolase family 16 proteinXP_001875740.11E−129
Table 4

Functional annotation of differentially expressed genes in dikaryon DK13 × 3 compared to its parental MK3 monokaryon.

Gene IDLog2 ratioUp/downHomologous proteinNCBI IDE-value
Unigene2249517.9421UpGlycoside hydrolase family 30 proteinXP_001883860.17E−13
Unigene3370217.4268UpYOP1XP_001828571.18E−71
Unigene2036416.6204UpCystathionine beta-synthase (beta-thionase)XP_754772.12E−24
Unigene3375216.5541UpAspartate amino-transferaseXP_001874806.11E−72
Unigene1755216.5366UpAldo-keto reductaseXP_001838896.22E−87
Unigene773316.4478UpOligopeptide transporterXP_001883373.10
Unigene1291916.1909UpSymbiosis-related proteinADD66798.16E−10
Unigene3388816.1005Up40S ribosomal protein S12XP_002475522.14E−71
Unigene3377015.9518UpRNA-binding region RNP-1YP_001022993.18E−10
Unigene806815.9284UpYALI0C17391pXP_501942.24E−07
Unigene1599315.6892UpNucleoside-diphosphate-sugar epimerase family proteinXP_748586.13E−13
Unigene1496315.6826UpReceptor expression-enhancing protein 4XP_001837879.21E−103
Unigene2987515.6645UpTKL/TKL-ccin protein kinaseXP_001838297.23E−20
Unigene1477415.6242UpShort-chain dehydrogenase/reductase SDRXP_001828376.21E−108
Unigene1581415.5711UpGlycoside hydrolase family 16 proteinXP_003028746.14E−91
Unigene585115.3849UpChitinaseBAA36223.19E−08
Unigene1444815.2642UpGuanine nucleotide-binding protein alpha-4 subunitXP_001884704.16E−21
Unigene375015.2109UpTetraspanin Tsp2 familyXP_001881334.14E−11
Unigene1653615.1569UpMitochondrial proteinXP_001828236.14E−92
Unigene1770615.1209UpAldo-keto reductaseXP_001835654.11E−125
Unigene2289015.0774UpCarboxyesteraseXP_002473270.13E−50
Function annotation of differentially expressed genes in dikaryon DK13 × 3 compared to its parental monokaryon MK13. Functional annotation of differentially expressed genes in dikaryon DK13 × 3 compared to its parental MK3 monokaryon. Among the common DEGs of the three strains, when the DK13 × 3 levels were compared to MPV additive model values, approximately 63.0% (878/2027) of transcripts were identified to be engaged in non-additive gene expression (threshold of greater than two-fold higher/lower). A small plurality of genes, 36.8%, had lower expression levels in DK13 × 3 than expected, while 26.2% were higher and potentially upregulated (Fig. 7).
Fig. 7

Scatter plots showing the expression levels of the differentially expressed genes in dikaryon DK13 × 3 vs. mid-parent expression value model estimates. RPKM, reads per kb per million reads and MPV, mid-parent expression values.

Scatter plots showing the expression levels of the differentially expressed genes in dikaryon DK13 × 3 vs. mid-parent expression value model estimates. RPKM, reads per kb per million reads and MPV, mid-parent expression values. For example, we obtained the transcription profiling from the RNA-seq of the 17 laccase genes in the three strains. The gene action modes of the 17 laccase genes could be divided into the following three patterns: genes expressed in both parental monokaryons but not in the dikaryon; genes expressed in one parental monokaryon and dikaryon but not in another parental monokaryon; and genes expressed in parental monokaryons and the dikaryon. However, the total RPKMs of these laccase genes in DK13 × 3 did not present significant differences compared to the parental monokaryons (Table 5).
Table 5

Laccase gene expression profile in Pleurotus ostreatus dikaryon DK13 × 3 and its parental monokaryons MK13 and MK3.

Unigene IDNr-annotationRPKM
Gene differential expression patternsa
MK3MK13DK13 × 3
16937phenol oxidase1.740.320.00Group 1
36987laccase 30.180.190.00



17686diphenol oxidase0.007.977.18Group 2
17819phenol oxidase0.003.461.92
32024phenol oxidase0.001.670.42
33168laccase0.002.600.48
24223laccase3.240.000.79
9579phenol oxidase3.720.003.04



10675laccase3.642.143.23Group 3
13269laccase3.932.173.44
17104phenol oxidase0.792.712.19
21195laccase 21.721.961.78
21872laccase 41.781.320.84
25117laccase 32.270.420.85
31192poxa3b0.971.081.19
33608phenol oxidase0.592.130.61
3517phenol oxidase 11.331.090.28



Total25.931.2328.24

Group 1, genes expressed in both parental monokaryons but not in the dikaryon; Group 2, genes expressed in one parental monokaryon and the dikaryon but not in another parental monokaryon; Group 3, genes expressed in parental monokaryons and the dikaryon.

Laccase gene expression profile in Pleurotus ostreatus dikaryon DK13 × 3 and its parental monokaryons MK13 and MK3. Group 1, genes expressed in both parental monokaryons but not in the dikaryon; Group 2, genes expressed in one parental monokaryon and the dikaryon but not in another parental monokaryon; Group 3, genes expressed in parental monokaryons and the dikaryon.

poure monoallelic expression in the dikaryon

The poure gene of the two monokaryons and mRNA of the two monokaryons and karyon were cloned and sequenced by PCR and RT-PCR. The poure gene sequences of MK13 (GenBank access number: KF312589.1) were 97% and 97% identical to those of P. ostreatus PC15 v2.0, PC9 v1.0, (http://genome.jgi-psf.org/PleosPC15_2/PleosPC15_2.home.html; http://genome.jgi-psf.org/PleosPC9_1/PleosPC9_1.home.html); those for MK3 (GenBank access number: KF312590.1) were 96% and 95% identical. The different bases between the poure gene CDS of MK13 and MK3 were 93 (Table 6). The poure mRNA sequences of MK13, MK3 and DK13 × 3 were all 100% identical to the RNA-seq results. However, the mRNA sequences and gene CDS of poure differed by 4 bases in MK13 and 12 in MK3. In MK13, the differences were two Ts to Cs and two Gs to As. In MK3, the differences were one C changing to G, four Cs to Ts, four As to Gs, and three Gs to As (Table 7). This revealed that P. ostreatus simultaneously occurred in numerous RNA editing types. Furthermore, the poure mRNA sequences of DK13 × 3 were more identical to that of MK13 than MK3, with only two different bases and one predicted amino acid to MK13, while there were 89 different bases compared to MK3. As with MK13, the mRNA sequence and gene CDS of Poure in DK13 × 3 involved 4 bases, one T to C, one C to T, and two Gs to As (Table 6, Table 7). Urease catalyzed the hydrolysis of urea into carbon dioxide and ammonia. Urease was the first enzyme to be crystallized from jack beans, and it was the first protein whose enzymatic properties were demonstrated by Sumner in 1926. Ureases have been found in numerous bacteria, fungi, algae, plants and some invertebrates, and they have been found to help microorganisms and plants use endogenous and exogenous urea as a nitrogen source. The ammonia produced is subsequently utilized to synthesize proteins. Ureases of bacteria, fungi and higher plants are highly conserved. In higher plants and fungi, the enzyme is encoded by a single gene.45, 46 Thus, our results showed that the poure transcript of DK13 × 3 was from the MK13 poure gene and that RNA editing also occurred (Table 6).
Table 6

Sequence alignment of the poure gene CDS between the two monokaryons of Pleurotus ostreatus.

CDSaThe position of mismatched bases from the 5′ end of the Poure CDS
103081160177189222264285306325331363365376523
MK13TGCCCGCCTAATCAGT
MK3GAGTTATTCCCCTCAC



540558567576586600639642654691741763779795879903
MK13CCGCTGAATTAAGGGT
MK3TTATCAGGACGGAACC



924966975978100510611074108311701200120912361290131113261335
MK13ACGCTGACTACCCACC
MK3GTATCATTCTTTTGTT



1383152115231527153615871605162816411680168917071709171317641767
MK13GGTCATCACTTCCGTT
MK3TAATCGATTCGATACC



1769178217881808184818571876191719922061206720702076207921582208
MK13CCCAACACCCTCTGGC
MK3TTTGGTGTATCTCAAT



2224222922682317232523642409245024512469247524782480
MK13TCAGGCAACACTG
MK3CTTATTGGTGTCA

The accession numbers in GeneBank of the poure gene CDS of Pleurotus ostreatus MK13 and MK3 are KF312589.1 and KF312590.1.

Table 7

Sequence alignment of the poure gene CDS, mRNA and predicted AAs between the three strains of P. ostreatus.

StrainThe position of mismatched bases from the 5′ end of the poure CDS in MK13 or MK3 and contact mismatched AA residues
5291005130113832158
MK13CDSTTCGG
AAPheGlu
MK13mRNACCCAA
AALeuLys
DK13 × 3mRNATCTAA
AAPheLys



1636552357069177992410611628187622242450
MK3CDSCCCACAGAAGCG
AAAlaGluGluValLeuGly
MK3mRNAGTTGTGAGGATA
AAPheGlyGlyIlePheAsp
Sequence alignment of the poure gene CDS between the two monokaryons of Pleurotus ostreatus. The accession numbers in GeneBank of the poure gene CDS of Pleurotus ostreatus MK13 and MK3 are KF312589.1 and KF312590.1. Sequence alignment of the poure gene CDS, mRNA and predicted AAs between the three strains of P. ostreatus.

Discussion

Our results showed that the global gene expression profile of dikaryon was distinct from its constituent monokaryons, and there was an expression difference in nearly two-thirds of the genes. This change was also confirmed by RT-PCR cloning and sequencing of the poure mRNA of the three strains. These results are not in agreement with previous reports,22, 23 which is probably due to the different gene expression profiling approaches. The high throughput RNA-seq was certainly more thorough and comprehensive than traditional DNA hybridization. Based on the gene transcriptional quantity, heterosis in diploids was considered to result from differential gene expression, including the following five gene expression patterns: (i) genes expressed in both parents but not in hybrids, (ii) genes expressed in one parent and hybrid but not in another parent, (iii) genes expressed in one parent but not in another parent or hybrid, (iv) genes expressed only in a hybrid but not in both parents, and (v) genes expressed in both parents and the hybrid. The first four patterns are the presence/absence variations (PAV); the fifth could be divided into additive and non-additive gene expression patterns for which hybrids showed a transcript level equal to or deviating from the mid-parent value (average of the two parents).49, 50, 51 In this study, the mycelial growth rate of P. ostreatus dikaryon DK13 × 3 was significantly higher than that of the two parental monokaryons, indicating the advantage of sexual reproduction or heterosis in the dikaryon. The total gene expression quantity in the dikaryon was 4.8% and 6.5% higher than its constituent monokaryons, and all possible modes of differential gene expression that were present in the dikaryon when compared to its constituent monokaryons, including presence/absence variation and additive/non-additive gene expression, may be contributing to heterosis. This was confirmed in previous studies. Monoallelic expression genes have been found in a number of organisms, including humans, rodents, corn, and yeast. They are on the X chromosome in female placental mammals or on autosomes, and the selection of the expressed allele may depend on the parental origin or be random. However, this phenomenon has not been reported in the dikaryon. Those DEGs in the dikaryon can be divided into four groups. The main group was simultaneously expressed in both of the monokaryons. The other two smaller groups were expressed in only one of two monokaryons. The fourth group was expressed in the dikaryon alone. DEGs in the dikaryon only expressing MK3 or MK13 might be regarded as monoallelic expression genes, as evidenced by RT-PCR cloning and sequencing results. For example, the poure transcript in the dikaryon was from the MK13 nucleus gene but not MK3. More than 10% of the monoallelic expression genes in the dikaryon were from each parental monokaryon. However, we could not determine whether they demonstrated autosomal random monoallelic expression, sex chromosome inactivation, or imprinted gene expression. In fungi, the chromosome containing mating genes may be deemed as the sex chromosome. In mice and humans, more than 10% of the genes have autosomal random monoallelic expression.54, 55 The isozyme bands that are only present in the S. commune dikaryon were demonstrated to depend on the expression of mating genes A and B. Accordingly, the relationship between the fourth group and the mating genes merits further study. RNA-editing by base deamination has been reported in plant mitochondria and plastids (C-to-U editing) and mammals (A-to-I editing); U-to-C and guanosine (G)-to-A changes, which are probably by trans-amination, are also reported in mammals.58, 59 No similar cases have been found in higher fungi. In this study, our results showed that numerous types of RNA editing existed in the poure mRNA in P. ostreatus, including C-T, A-G, and C-G base substitution. Taken together, our results suggest that the gene expression patterns in dikaryons should be similar to diploid. Finally, we strongly propose that the fungal dikaryon is a perfect experimental model for studying sex evolution and monoallelic expression due to its unique biology. The two parental monokaryons can independently live with asexual reproduction. It was proposed that the monokaryons were the temporary stage of dikaryons and had less combative ability than dikaryons, but several species models have demonstrated that monokaryons have a similar or more combative phenotype compared to dikaryons.61, 62 Therefore, it was suggested that monokaryons with greater adaptive genetic potential may improve the combative ability to dikaryons. In dikaryons, the two monokaryon nuclei do not fuse to karyogamy, and the two chromosomal sets only occasionally recombine during vegetative growth; therefore, it is easy to determine the origins of alleles in a dikaryon. Although there is no paternal and maternal distinction in the mating of two compatible monokaryons, as with other sexual reproduction, the mitochondrion in almost all dikaryons is from only one monokaryon. The example donor can be regarded as the female parent.

Conflicts of interest

The authors declare no conflicts of interest.
  53 in total

1.  Open source clustering software.

Authors:  M J L de Hoon; S Imoto; J Nolan; S Miyano
Journal:  Bioinformatics       Date:  2004-02-10       Impact factor: 6.937

2.  All possible modes of gene action are observed in a global comparison of gene expression in a maize F1 hybrid and its inbred parents.

Authors:  Ruth A Swanson-Wagner; Yi Jia; Rhonda DeCook; Lisa A Borsuk; Dan Nettleton; Patrick S Schnable
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-25       Impact factor: 11.205

3.  Genome-wide transcript analysis of maize hybrids: allelic additive gene expression and yield heterosis.

Authors:  Mei Guo; Mary A Rupe; Xiaofeng Yang; Oswald Crasta; Christopher Zinselmeier; Oscar S Smith; Ben Bowen
Journal:  Theor Appl Genet       Date:  2006-07-26       Impact factor: 5.699

Review 4.  Mechanisms and consequences of widespread random monoallelic expression.

Authors:  Andrew Chess
Journal:  Nat Rev Genet       Date:  2012-05-15       Impact factor: 53.242

5.  Sources and structures of mitotic crossovers that arise when BLM helicase is absent in Drosophila.

Authors:  Matthew C LaFave; Sabrina L Andersen; Eric P Stoffregen; Julie K Holsclaw; Kathryn P Kohl; Lewis J Overton; Jeff Sekelsky
Journal:  Genetics       Date:  2013-10-30       Impact factor: 4.562

6.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

7.  Protein specificity and sexual morphogenesis in Schizophyllum commune.

Authors:  C S Wang; J R Raper
Journal:  J Bacteriol       Date:  1969-07       Impact factor: 3.490

8.  The structure of jack bean urease. The complete amino acid sequence, limited proteolysis and reactive cysteine residues.

Authors:  K Takishima; T Suga; G Mamiya
Journal:  Eur J Biochem       Date:  1988-07-15

9.  High levels of RNA-editing site conservation amongst 15 laboratory mouse strains.

Authors:  Petr Danecek; Christoffer Nellåker; Rebecca E McIntyre; Jorge E Buendia-Buendia; Suzannah Bumpstead; Chris P Ponting; Jonathan Flint; Richard Durbin; Thomas M Keane; David J Adams
Journal:  Genome Biol       Date:  2012-04-23       Impact factor: 13.583

10.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.

Authors:  Bo Li; Colin N Dewey
Journal:  BMC Bioinformatics       Date:  2011-08-04       Impact factor: 3.307

View more
  6 in total

Review 1.  Genetic improvement in Pleurotus (oyster mushroom): a review.

Authors:  Anupam Barh; V P Sharma; Sudheer Kumar Annepu; Shwet Kamal; Shweta Sharma; Pankaj Bhatt
Journal:  3 Biotech       Date:  2019-08-06       Impact factor: 2.406

2.  Estimating the Fitness Effect of Deleterious Mutations During the Two Phases of the Life Cycle: A New Method Applied to the Root-Rot Fungus Heterobasidion parviporum.

Authors:  Pierre-Henri Clergeot; Nicolas O Rode; Sylvain Glémin; Mikael Brandström Durling; Katarina Ihrmark; Åke Olson
Journal:  Genetics       Date:  2018-12-31       Impact factor: 4.562

3.  Evolution of substrate-specific gene expression and RNA editing in brown rot wood-decaying fungi.

Authors:  Baojun Wu; Jill Gaskell; Jiwei Zhang; Christina Toapanta; Steven Ahrendt; Igor V Grigoriev; Robert A Blanchette; Jonathan S Schilling; Emma Master; Daniel Cullen; David S Hibbett
Journal:  ISME J       Date:  2019-02-04       Impact factor: 10.302

Review 4.  Adenosine to inosine mRNA editing in fungi and how it may relate to fungal pathogenesis.

Authors:  Ines Teichert
Journal:  PLoS Pathog       Date:  2018-09-27       Impact factor: 6.823

5.  Nuclear-specific gene expression in heterokaryons of the filamentous ascomycete Neurospora tetrasperma.

Authors:  Cécile Meunier; Iulia Darolti; Johan Reimegård; Judith E Mank; Hanna Johannesson
Journal:  Proc Biol Sci       Date:  2022-08-10       Impact factor: 5.530

6.  Comparative Analysis of Enzyme Production Patterns of Lignocellulose Degradation of Two White Rot Fungi: Obba rivulosa and Gelatoporia subvermispora.

Authors:  Mila Marinovíc; Marcos Di Falco; Maria Victoria Aguilar Pontes; András Gorzsás; Adrian Tsang; Ronald P de Vries; Miia R Mäkelä; Kristiina Hildén
Journal:  Biomolecules       Date:  2022-07-22
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.