Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Fungus-originated glucanase and monooxygenase genes in creeping bent grass (Agrostis stolonifera L.)

  • Yugo Watanabe,

    Roles Formal analysis, Investigation, Writing – original draft, Writing – review & editing

    Affiliation Agriculture Victoria, AgriBio, Centre for AgriBioscience, La Trobe University, Bundoora, Victoria, Australia

  • German C. Spangenberg,

    Roles Conceptualization, Funding acquisition, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing

    Affiliations Agriculture Victoria, AgriBio, Centre for AgriBioscience, La Trobe University, Bundoora, Victoria, Australia, School of Applied Systems Biology, La Trobe University, Bundoora, Victoria, Australia

  • Hiroshi Shinozuka

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

    hiroshi.shinozuka@agriculture.vic.gov.au

    Affiliation Agriculture Victoria, AgriBio, Centre for AgriBioscience, La Trobe University, Bundoora, Victoria, Australia

Abstract

Recent studies have revealed presence of fungus-originated genes in genomes of cool-season grasses, suggesting occurrence of multiple ancestral gene transfer events between the two distant lineages. The current article describes identification of glucanase-like and monooxygenase-like genes from creeping bent grass, as lateral gene transfer candidates. An in silico analysis suggested presence of the glucanase-like gene in Agrostis, Deyeuxia, and Polypogon genera, but not in other species belonging to the clade 1 of the Poeae tribe. Similarly, the monooxygenase-like gene was confined to Agrostis and Deyeuxia genera. A consistent result was obtained from PCR-based screening. The glucanase-like gene was revealed to be ubiquitously expressed in young seedlings of creeping bent grass. Although expression of the monooxygenase-like gene was suggested in plant tissues, the levels were considerably lower than those of the glucanase-like gene. A phylogenetic analysis revealed close relationships of the two genes between the corresponding genes in fungal endophyte species of the Epichloë genus, suggesting that the genes originated from the Epichloë lineage.

Background

The genus Agrostis [Agrostidinae subtribe, Poeae tribe clade 1 (PC1), Pooideae sub-family (cool-season grasses)] includes around 200 species, and its representative species, such that creeping bent grass and common bent (Agrostis capillaris), are grown world-wide as turf [1]. Deyeuxia angustifolia [(Komarov) Y. L Chang] and beard-grass (Polypogon fugax Nees ex Steud.) also belong to the Agrostidinae subtribe, which are known as native and invasive plants [24]. Into the same clade of the Poeae tribe, oat (Avena sativa L.) and harding grass (Phalaris aquatica L.) are classified, which are cultivated as food and pasture crops, respectively [5].

Fungal endophyte species of the Epichloë genus may establish symbiosis with plants of the Pooideae sub-family, providing abiotic and biotic stress resistances to the plant host [6]. E. amarillans is known as symbiont of an Agrostis species, tickle grass (A. hyemalis) [7]. Similarly, plants belong to the genus Lolium [Poeae clade 2 (PC2)] may establish symbiotic relationships with E. festucae. To date, four genes from cool-season grasses have been identified as candidates for laterally transferred genes from the Epichloë lineage. The ß-1,6-glucanase hydrolyses ß-1,6-glucans, which are one of main components of fungal cell walls, and the glucanase was, therefore, believed to be confined to mycoparasitic fungi until recent [8]. From perennial ryegrass (Lolium perenne L., Lolium genus), a ß-1,6-glucanase-like gene, designated LpBGNL, was found, showing a 90% DNA sequence identity to the E. festucae ß-1,6-glucanase gene. As putative orthologues of LpBGNL were only found from subtribes Lollinae and Dactylidinae (PC2), but not from other plant lineages investigated, it was suggested that the gene was acquired from the Epichloë lineage through horizontal gene transfer (HGT) [9]. Later, a domain of unknown function gene, LpDUF3632, was identified from perennial ryegrass, as HGT candidate. This gene was only conserved in the Loliinae subtribe, and showed a higher DNA sequence identity (96%) to Epichloë DUF3632 genes [10]. Another candidate, designated Fhb7, was identified from a wheat relative species, Thinopyrum elongatum (Triticeae tribe) [11]. The products of this gene had glutathione S-transferase activities and contributed to resistance against fungal pathogens of Fusarium. The DNA sequence identity between the Fhb7 gene and the Epichloë counterparts was up to 97%. The fungal transcriptional regulatory protein-like (FTRL) gene was identified to be more widely conserved in the Poeae and Triticeae tribes [10]. The perennial ryegrass FTRL gene, LpFTRL, showed 85% DNA sequence identity between the corresponding Epichloë gene. Due to absence in plant lineages other than the two tribes, the FTRL gene was likely to have transferred from the Epichloë lineage before diversification of the Poeae and Triticeae tribes.

Horizontally transferred candidates can be identified through a comparison of DNA sequences between two taxonomically distant species [12]. In case of eukaryotes, some constitutive genes, such as actin and ubiquitin genes can be highly conserved even between the two distant taxa, and sequence similarity hits related to those genes need to exclude from the HGT candidates [10]. The following phylogenetic analysis can reveal DNA sequences with an unusually high identity between the two species, to confirm that the gene was transferred across species boundaries. The current study reports the identification of two HGT candidates from creeping bent grass, which show unusually high DNA sequence identities to those of Epichloë.

Materials and methods

In silico analysis

The creeping bent grass transcriptome shotgun assembly (TSA) data (NCBI GenBank: GFQK00000000.1) were obtained from NCBI website, and E. amarillans (strain E57/ATCC 200744) transcriptome data (NCBI BioProject: PRJNA67301) were downloaded from the Genome Projects at University of Kentucky website (http://www.endophyte.uky.edu/) [6]. A DNA sequence homology search was performed with the BLAST+ package, using the megablast function (https://blast.ncbi.nlm.nih.gov/Blast.cgi). A subsequent manual examination was performed using the NCBI BLAST tool. Alignment of DNA and amino acid sequences was performed using the CLUSTALW program (https://www.genome.jp/tools-bin/clustalw). Phylogenetic analysis was performed using the MEGA X program [13]. An in silico screening was performed using the NCBI BLAST tool and short read archive (SRA) database.

DNA extraction

Plants seeds were obtained from the South Australian Research and Development Institute (SARDI) (S1 Table). The seeds were germinated on filter paper in petri dishes. Total DNA was extracted from young seedings of each genotype using the E.Z.N.A.® Plant DNA Kit (OMEGA).

PCR-based screening

PCR primers were designed with a support of the OligoCal program (S2 Table). A PCR assay was performed using the Luna Universal qPCR Master Mix kit [New England BioLabs (NEB)] on the CFX Connect Real-Time PCR Detection System (BioRad). As the Epichloë genus and its next close genus, Claviceps, include species infectious to grass plants of the Pooideae sub-family, absence of those fungal species in plant genomic DNA (gDNA) samples was confirmed with Epichloë and Claviceps-specific primers [10,14,15].

PCR-restriction fragment length polymorphism (RFLP) assay

Through an alignment of sequences from creeping bent grass and Epichloë species, single nucleotide variations (SNVs) were identified, which could be used for a PCR-RFLP assay. The DNA fragments including the SNV site was amplified with the AsFMOL_con_f1_AstII and r primers, and the amplicons were treated with the AatII restriction enzyme (NEB). The treated amplicons were visualised on a 2% (w/v) agarose gel stained with SYBR Safe (Life Technologies).

Reverse transcript (RT)-real time PCR (qPCR) assay

Based on morphology, 10 plant genotypes of the creeping bent grass young seedlings were dissected into 3 parts, roots, lower leaves, and upper leaves. Total RNA was extracted from each plant part, using the RNeasy Plant Mini Kit (QIAGEN). cDNA samples were prepared using the Maxima H Minus Reverse Transcriptase kit (Thermo Fisher SCIENTIFIC). The reverse transcript products (20 μl) was diluted with the same volume of 1x TE buffer. A qPCR assay was performed using the Luna Universal qPCR Master Mix kit on the CFX Connect Real-Time PCR Detection System. The creeping bent grass Actin gene, AsAct (GeneBank UI: JX644005.1), was used as internal control, and 3 technical replicates were performed for each assay [16]. Relative gene expression levels were calculated using the 2–μμCt method, based on the Cq (threshold cycle) values from the samples. PCR amplification efficiency was examined through a qPCR-based standard curve assay.

Results and discussion

Using the BLAST+ package, a total of 273 sequence similarity hits between A. stolonifera and E. amarillans transcriptome were obtained (S3 Table). The subsequent manual examination identified ß-1,6- glucanase-like (GFQK01230513.1) and flavin-containing monooxygenase (FMO)-like (GFQK01114691.1) sequences from creeping bent grass, which were designated AsBGNL and AsFMOL. The DNA sequence identity between AsBGNL and the corresponding E. amarillans gene (augustus_masked-contig00145-processed-gene-0.47-mRNA-1) was 93%, and the alignment length (length of homologous region) was 1153 bases, with 79 nucleotide mismatches (S1 Fig). The sequence corresponding to the aryl-phospho-beta-D-glucosidase domain of the glucanase was identified, inferring that the gene products retain the molecular function (Fig 1). Between AsFMOL and the corresponding E. amarillans gene (fgenesh_masked-contig00237-processed-gene-0.48-mRNA-1), two separated hits were obtained, and the DNA sequence identities were 95.5 and 95.6%. The alignment length for AsFMOL was 1447 bases, when the two hits were combined (S2 Fig).

thumbnail
Fig 1. Amino acid sequence alignments for the predicted products of glucanase-like (a) and flavin-containing monooxygenase-like (b) genes.

The alignments are shown in the CLUSTAL W format. In the amino acid sequences, dash (−) represents a gap. Under the alignments, ‘conserved amino acid residues’, ‘including conserved substitution(s)’ and ‘including semi-conserved substitution(s)’ are denoted with asterisk (*), colon (:) and dot (.). The part of the aryl-phospho-beta-D-glucosidase domain is highlighted with light green (a).

https://doi.org/10.1371/journal.pone.0257173.g001

A BLAST search against publicly available datasets was performed to examine the presence/absence status of the HGT candidates in taxonomically related plant species. Through the BLAST search against the SRA data of Agrostis, Deyeuxia, and Polypogon species, DNA sequence similarity hits for AsBGNL were obtained from all tested datasets (Table 1). No corresponding sequence was, however, found from oat and harding grass. When DNA sequences catalogued in the NCBI GenBank database were sought, the BLAST-based approach revealed a relatively high sequence similarity between AsFMOL and monooxygenase(-like) genes from fungi of the Clavicipitaceae family (Ascomycota) (S4 Table). Although some partial similarities were observed between sequences from other fungi and bacteria, no plant sequences were identified to show a significant similarity to AsFMOL. Through the BLAST search against the SRA datasets from plant species of PC1, DNA sequence similarity hits for AsFMOL were only obtained from Agrostis and Deyeuxia species, and no corresponding sequence was found from P. fugax, harding grass, or oat (Table 1). An eukaryote transcriptome SRA dataset is typically generated through shotgun sequencing of entire mRNA molecules from a target tissues in an unbiased (non-selective) manner, and such a dataset may contain some amount of sequencing artifacts and/or short reads derived from unintended organisms, especially parasitic and pathogenic microorganisms, which could affect the subsequent data annotation [17]. A control BLAST-based search was, therefore, performed using an Epichloë-specific sequence, makes caterpillars floppy (mcf)-like gene (GenBank UI: KJ502561.1) [14]. No significantly similar sequence from each SRA dataset was found, indicating absence of an Epichloë species-originated sequence in the datasets.

thumbnail
Table 1. Sequence similarity hit number and highest identity from Pooideae species.

https://doi.org/10.1371/journal.pone.0257173.t001

For further validation, the PCR-based screening was performed. The assay with the AsBGNL-specific primers indicated that the ß-1,6-glucanase-like sequences were only present in creeping bent grass, common bent, and annual beard grass, but not in harding grass (Figs 2A and S3). With the AsBGNL-specific primers, PCR amplification was not observed from the Epichloë gDNA template. Absence of Epichloë and Claviceps gDNA in the plant gDNA samples was confirmed using the fungus-specific PCR primers. The assay with AsFMOL-specific primers indicated that the FMO(-like) sequence is present in creeping bent grass and common bent, but not in annual beard grass and harding grass (Fig 2A). Using the AsFMOL-specific primers, PCR amplicons from E. festucae were also observed. The DNA sequence alignment identified SNVs between AsFMOL and the corresponding Epichloë genes, and, in the PCR amplicons, two SNVs were found to be related to an AatII recognition site of Epichloë sequence (S2 Fig). Due to these SNVs, the PCR amplicons from Epichloë species were predicted to be digested with the AatII restriction enzyme, while the amplicons from creeping bent grass do not possess any AatII recognition site. Through the PCR-RFLP assay, a clear size difference between plant- and fungus-derived DNA fragments was observed, and this result excluded the possibility of presence of Epichloë gDNA in plant gDNA samples (Fig 2B).

thumbnail
Fig 2. PCR-based screening for the HGT candidates.

(a) Results of PCR amplification with the AsBGNL/LpBGNL_F and AsBGNL_R primers (top panel), and the AsFMOL_con_f1_AstII and AsFMOL_con_r1_AstII primers (second panel). As a control experiment, PCR with the C.purpurea_D0288F and R primers, and the Epichloe_mcf_F and R primers was performed (third and bottom panels). As PCR templates, gDNA samples from 3 creeping bent grass individuals, 3 common bent individuals, and 2 annual beard grass individuals were used, along with those of E. festucae and harding grass. NTC stands for ‘no template control’. The expected positions of PCR amplicons on the agarose gel are indicated with grey arrows. The BIOLINE EasyLadder I was used as size standard and the sizes of ladders are indicated with black arrows. (b) Results of the PCR-RFLP assay. The upper panel shows PCR fragments from each gDNA sample before the restriction enzyme treatment, and the lower panel shows the fragments after the treatment.

https://doi.org/10.1371/journal.pone.0257173.g002

Using the RT-qPCR-based approach, the gene expression analysis was performed for AsBGNL and AsFMOL. The Cq values for AsBGNL and AsAct were between 24–28, and the analysis revealed that AsBGNL was ubiquitously expressed in the young seedlings, including root tissues (Fig 3). This trend was similar to that of LpBGNL in perennial ryegrass [9]. As Epichloë species do not infect root tissues, AsBGNL may contribute to plant pathogen resistance, especially against soil-borne fungi, rather than interaction between the fungal endophyte. Although the RT-qPCR assay was performed for AsFMOL, amplification was detected only after 32 reaction cycles. (S4 Fig). The RT-qPCR data for AsFMOL were, therefore, concluded not to be suitable for a relative gene expression analysis [18,19]. This assay, however, suggested that the gene was ubiquitously expressed, but at a low level, in young seedlings. From the SRA data of creeping bent grass, hair grass and Deyeuxia, a substantially lower expression pattern of AsFMOL was also suggested, compared with AsBGNL. The read numbers per kilobase per million (FPKM) of AsFMOL were only 0.2–1.3, meanwhile those of AsBGNL were 5.6–31.5 (S5 Table), supporting the result from the RT-qPCR-based assay.

thumbnail
Fig 3. Gene expression analysis for AsBGNL.

The expression levels are normalised with that of lower leaves, which is indicated with an asterisk (*). Black lines stand for standard deviation.

https://doi.org/10.1371/journal.pone.0257173.g003

The phylogenetic analysis was performed for AsBGNL and AsFMOL. The analysis suggested a closer relationship of AsBGNL between LpBGNL, than corresponding genes of Epichloë species (Fig 4A). The previous study demonstrated the specificity of the plant ß-glucanese-like gene to the Lollinae and Dactylidinae subtribes of PC2, and the phylogeny, thus, suggested a possibility of horizontal transfer of the Lollinae ß-glucanese-like gene into a common ancestor of Agrostidinae species. Other scenarios could be considered, such as two independent (Epichloë-Lollinae/Dactylidinae and Epichloë-Agrostidinae) HGT events, and HGTs into a common ancestor of the Pooideae species (both PC1 and PC2), followed by lineage-specific gene deletions. However, these alternative scenarios are not supported with the result of the phylogenetic analysis. In case of the plant-to-plant HGT, it is likely that the ß-glucanese-like gene was laterally transferred after the period that broad-leaved Loliinae, including perennial ryegrass, diverged from fine-leaved Loliinae, including sheep fescue (Festuca ovina L.). The phylogenetic analysis suggested a closer relationship between AsFMOL and the corresponding gene of E. baconii, E. amarillans, E. mollis, and E.festucae, compared with other Epichloë species (Fig 4B). It was, therefore, suggested that the gene was laterally transferred from the Epichloë lineage after diversification of the Epichloë genus.

thumbnail
Fig 4. Phylogenetic analysis for the HGT candidates.

(a) Phylogenetic tree of plant and fungal ß-1,6-glucanase(-like) genes, based on an amino acid alignment of the aryl-phospho-beta-D-glucosidase domain. (b) Phylogenetic tree of plant and fungal FMO-like genes on an amino acid alignment. Sequences from creeping bent grass are indicated with red arrows. Strain identifiers of the Genome Project at the University of Kentucky website or NCBI UI are shown in brackets.

https://doi.org/10.1371/journal.pone.0257173.g004

Poa and sheep fescue are categorised into PC2, and horizontal transfer of the Poa cytosolic enzyme phosphoglucose gene, PgiC, into sheep fescue has been well characterized [20,21]. Due to absence of evidence for cross-fertilisation between the two species, a possibility of microorganism-mediated HGT was initially discussed, rather than fertilisation (introgression)-based gene transfer [20]. Afterwards, a possibility of transformation (gDNA fragment integration)-like and mRNA-mediated gene exchanges between taxonomically distant plants, especially between parasitic and host species, was discussed [22,23]. The gene exchange between Lollinae and Agrostidinae common ancestors may have occurred through one of the proposed plant-to-plant HGT models. A PCR assay inferred conservation of the intron position between AsBGNL and LpBGNL (S5 Fig). It is likely that a DNA molecule-mediated mechanism was involved in the gene transfer event of the ß-gulcanese(-like) gene.

Recently, systematic surveys were conducted to identify genes transferred between grass species [24,25]. A total of 26 plant-to-plant HGT candidates were identified from black seed grass (Alloteropsis semialata, Panicoideae subfamily), of which 25 were presumably derived from distant Panicoideae linages [24]. The other candidate was concluded to have originated in the Chloridoideae lineage, which is a sister clade of Panicoideae. A lager survey including 17 grass species of the Poaceae family identified 135 plant-to-plant HGT candidates [25]. The survey included 9 Panicoideae species, and a great portion of the candidates were concluded to be genes transferred between Panicoideae lineages. From the Pooideae subfamily, only 3 species [Brachypodium distachyon, barley (Hordeum vulgare L.), and common wheat (Triticum aestivum L.)] were subjected, to find 12 candidates. The current study has suggested that AsBGNL was acquired through a plant-to-plant HGT event. Although the Poeae tribe includes over 2,500 species, composing the largest grass tribe, no Poeae species were included in the previous survey [5,25]. A further investigation using Poeae species may identify such HGT candidates.

Due to the high amino acid sequence identity to the Epichloë FMO, it is possible that AsFMOL still retain the molecular function. FMO commonly acts on sulfur and nitrogen-containing nucleophiles [26]. This type of monooxygenase has been found in bacteria, animals, fungi and plants, suggesting an ancient origin [26]. Although previous studies in animals and plants indicated that some types of FMOs contribute to longevity, other FMOs may have varied roles, depending on taxonomy. In animals, several FMOs have been reported to be related to metabolic diseases, while those in plants were identified to be related to pathogen defense and auxin biosynthesis [26,27]. A further analysis is essential to reveal the function of AsFMOL.

In the current report, identification of the novel candidates for horizontally transferred genes in cool-season grasses has been described. Although models for the HGT events are still unclear, the genes possibly retain the molecular functions. The two genes are likely to have transferred across species boundaries relatively recently in the evolutionary time. A further investigation of the two genes may support the hypothesis that HGT has been a part of evolution and adaptation mechanisms of flowering plants (Angiosperms) [24].

Supporting information

S1 Fig. DNA sequence alignment of the glucanase(-like) genes.

mRNA sequences from E. amarillans and creeping bent grass are aligned with a part of genomic sequence from perennial ryegrass. A dash (-) shows a gap in the DNA sequences, and an asterisk (*) under the alignment denotes ‘conserved nucleotide’. The intron sequence of perennial ryegrass glucanase-like gene is shown with an empty box. The location and direction of each PCR primer are shown with a blue arrow.

https://doi.org/10.1371/journal.pone.0257173.s001

(PDF)

S2 Fig. DNA sequence alignment of the flavin-containing monooxygenase(-like) genes.

The AsFMOL sequence is aligned with E. amarillans and E. festucae FMO sequences. A dash (-) shows a gap in the DNA sequences, and an asterisk (*) under the alignment denotes ‘conserved nucleotide’. The location and direction of each PCR primer are shown with a blue arrow. The AatII restriction enzyme recognition site in the E. amarillans and E. festucae sequences is indicated with an empty box.

https://doi.org/10.1371/journal.pone.0257173.s002

(PDF)

S3 Fig. PCR-based screening using the AsBGNL and LpBGNL locus-specific primers.

The gDNA samples of creeping bent grass, oat, harding grass, perennial ryegrass, and E. festucae were used as DNA template. A control experiment with the florigen candidate gene (HD3/FT)-specific primers was performed, to confirm the quality of plant gDNA samples. NTC stands for ‘no template control’. The PCR amplicons were visualised on an agarose gel (2% w/v) containing the SYBR Safe stain, and the expected size of PCR amplicons is indicated with a grey-filed arrow. The BIOLINE EasyLadder I was used as size standard.

https://doi.org/10.1371/journal.pone.0257173.s003

(PDF)

S4 Fig. qPCR amplification plot for the AsFMOL gene expression analysis.

The vertical and horizontal axes indicate the relative fluorescence units (RFU) and the number of PCR cycles. cDNA samples from roots, lower leaves, and upper leaves were used as DNA template. NTC stands for ‘no template control’. The sample names are shown on the right side of the plot. The threshold line is shown with the thick green line. The plot was generated with CFX Maestro Software (BioRad).

https://doi.org/10.1371/journal.pone.0257173.s004

(PDF)

S5 Fig. PCR assay with the primers designed across the intron (upper panel) and on the exon/intron boundaries (lower panel) of AsBGNL.

The gDNA samples of creeping bent grass and common bent grass, and cDNA sample of creeping bent grass were used as DNA template. NTC stands for ‘no template control’. PCR amplicons were visualised on an agarose gel containing the SYBR Safe stain. Based on the DNA sequence alignment result (S1 Fig), the AsBGNL_exon_F and R primers were designed. A larger fragment sizes from the gDNA template suggested presence of intron(s) in AsBGNL (upper panel). The forward primer (AsBGNL_intron_F) was designed across exon/intron boundaries of LpBGNL. The combination of the AsBGNL_intron_F and AsBGNL_R primers amplified DNA fragments from the cDNA templates, but no PCR fragments were observed from the gDNA templates, suggesting conservation of the intron position between AsBGNL and LpBGNL (lower panel). The expected positions of PCR amplicons from cDNA templates are indicated with the grey-filled arrows. The NEB 100 bp DNA Ladder (upper panel) and BIOLINE EasyLadder I (lower panel) and were used as size standard, and the sizes of representative ladders are shown with the black-filled arrows.

https://doi.org/10.1371/journal.pone.0257173.s005

(PDF)

S1 Table. Plant materials used for PCR-based screening.

SARDI UI denotes the unique identifier of the South Australian Research and Development Institute.

https://doi.org/10.1371/journal.pone.0257173.s006

(PDF)

S2 Table. PCR primers designed and used in the current study.

https://doi.org/10.1371/journal.pone.0257173.s007

(PDF)

S3 Table. DNA sequence homology search result between creeping bent grass and E. amarillans transcriptomes.

The similarity hits for AsBGNL and AsFMOL are highlighted with yellow.

https://doi.org/10.1371/journal.pone.0257173.s008

(PDF)

S4 Table. BLAST DNA sequence similarity search using the AsFMOL sequence as query.

https://doi.org/10.1371/journal.pone.0257173.s009

(PDF)

S5 Table. Short-read sequencing-based gene expression analysis.

Read count quantification was preformed using the NCBI BLAST tool. The word size parameter was set at 64. The AsBGNL and AsFMOL sequences were used as query sequence.

https://doi.org/10.1371/journal.pone.0257173.s010

(PDF)

Acknowledgments

The authors would like to thank SARDI for provision of plant seeds.

References

  1. 1. Reichman JR, Watrud LS, Lee EH, Burdick CA, Bollman MA, Storm MJ, et al. Establishment of transgenic herbicide-resistant creeping bentgrass (Agrostis stolonifera L.) in nonagronomic habitats: TRANSGENIC AGROSTIS STOLONIFERA OUTSIDE OF CULTIVATION. Mol Ecol. 2006;15: 4243–4255. pmid:17054516
  2. 2. Atia A, Smaoui A, Barhoumi Z, Abdelly C, Debez A. Differential response to salinity and water deficit stress in Polypogon monspeliensis (L.) Desf. provenances during germination: Germination of Polypogon monspeliensis provenances. Plant Biol (Stuttg). 2011;13: 541–545. pmid:21489106
  3. 3. Li L, Xing M, Lv J, Wang X, Chen X. Response of rhizosphere soil microbial to Deyeuxia angustifolia encroaching in two different vegetation communities in alpine tundra. Sci Rep. 2017;7: 43150. pmid:28220873
  4. 4. Weber E. Invasive plant species of the world: a reference guide to environmental weeds. 2nd edition. Wallingford, Oxfordshire; Boston, MA: CABI; 2016.
  5. 5. Soreng RJ, Peterson PM, Romaschenko K, Davidse G, Teisher JK, Clark LG, et al. A worldwide phylogenetic classification of the Poaceae (Gramineae) II: An update and a comparison of two 2015 classifications: Phylogenetic classification of the grasses II. J Syst Evol. 2017;55: 259–290.
  6. 6. Schardl CL, Young CA, Hesse U, Amyotte SG, Andreeva K, Calie PJ, et al. Plant-Symbiotic Fungi as Chemical Engineers: Multi-Genome Analysis of the Clavicipitaceae Reveals Dynamics of Alkaloid Loci. PLoS Genet. 2013;9: e1003323. pmid:23468653
  7. 7. Schardl CL, Craven KD, Speakman S, Stromberg A, Lindstrom A, Yoshida R. A Novel Test for Host-Symbiont Codivergence Indicates Ancient Origin of Fungal Endophytes in Grasses. Syst Biol. 2008;57: 483–498. pmid:18570040
  8. 8. de la Cruz J, Llobell A. Purification and properties of a basic endo-beta-1,6-glucanase (BGN16.1) from the antagonistic fungus Trichoderma harzianum. Eur J Biochem. 1999;265: 145–151. pmid:10491168
  9. 9. Shinozuka H, Hettiarachchige IK, Shinozuka M, Cogan NOI, Spangenberg GC, Cocks BG, et al. Horizontal transfer of a ß-1,6-glucanase gene from an ancestral species of fungal endophyte to a cool-season grass host. Sci Rep. 2017;7: 9024. pmid:28831055
  10. 10. Shinozuka H, Shinozuka M, de Vries EM, Sawbridge TI, Spangenberg GC, Cocks BG. Fungus-originated genes in the genomes of cereal and pasture grasses acquired through ancient lateral transfer. Sci Rep. 2020;10: 19883. pmid:33199756
  11. 11. Wang H, Sun S, Ge W, Zhao L, Hou B, Wang K, et al. Horizontal gene transfer of Fhb7 from fungus underlies Fusarium head blight resistance in wheat. Science. 2020;368: eaba5435. pmid:32273397
  12. 12. Richards TA, Soanes DM, Foster PG, Leonard G, Thornton CR, Talbot NJ. Phylogenomic Analysis Demonstrates a Pattern of Rare and Ancient Horizontal Gene Transfer between Plants and Fungi. Plant Cell. 2009;21: 1897–1911. pmid:19584142
  13. 13. Kumar S, Stecher G, Tamura K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Mol Biol Evol. 2016;33: 1870–1874. pmid:27004904
  14. 14. Ambrose KV, Koppenhöfer AM, Belanger FC. Horizontal gene transfer of a bacterial insect toxin gene into the Epichloë fungal symbionts of grasses. Sci Rep. 2015;4: 5562. pmid:24990771
  15. 15. Comte A, Gräfenhan T, Links MG, Hemmingsen SM, Dumonceaux TJ. Quantitative molecular diagnostic assays of grain washes for Claviceps purpurea are correlated with visual determinations of ergot contamination. PLoS ONE. 2017;12: e0173495. pmid:28257512
  16. 16. Xiao GZ, Li LJ, Teng K, Chao YH, Han LB. Cloning and expression of the 1-aminocyclopropane-1-carboxylic oxidase gene from Agrostis stolonifera. Genet Mol Res. 2016;15. pmid:27820649
  17. 17. Borner J, Burmester T. Parasite infection of public databases: a data mining approach to identify apicomplexan contaminations in animal genome and transcriptome assemblies. BMC Genomics. 2017;18: 100. pmid:28103801
  18. 18. Ruiz-Villalba A, Ruijter JM, van den Hoff MJB. Use and Misuse of Cq in qPCR Data Analysis and Reporting. Life. 2021;11: 496. pmid:34072308
  19. 19. Taylor SC, Nadeau K, Abbasi M, Lachance C, Nguyen M, Fenrich J. The Ultimate qPCR Experiment: Producing Publication Quality, Reproducible Data the First Time. Trends Biotechnol. 2019;37: 761–774. pmid:30654913
  20. 20. Ghatnekar L, Jaarola M, Bengtsson BO. The introgression of a functional nuclear gene from Poa to Festuca ovina. Proc R Soc B. 2006;273: 395–399. pmid:16615204
  21. 21. Vallenback P, Ghatnekar L, Bengtsson BO. Structure of the Natural Transgene PgiC2 in the Common Grass Festuca ovina. PLoS ONE. 2010;5: e13529. pmid:20976007
  22. 22. Yoshida S, Maruyama S, Nozaki H, Shirasu K. Horizontal Gene Transfer by the Parasitic Plant Striga hermonthica. Science. 2010;328: 1128–1128. pmid:20508124
  23. 23. Yang Z, Zhang Y, Wafula EK, Honaas LA, Ralph PE, Jones S, et al. Horizontal gene transfer is more frequent with increased heterotrophy and contributes to parasite adaptation. Proc Natl Acad Sci U S A. 2016;113: E7010–E7019. pmid:27791104
  24. 24. Dunning LT, Olofsson JK, Parisod C, Choudhury RR, Moreno-Villena JJ, Yang Y, et al. Lateral transfers of large DNA fragments spread functional genes among grasses. Proc Natl Acad Sci U S A. 2019;116: 4416–4425. pmid:30787193
  25. 25. Hibdige SGS, Raimondeau P, Christin P, Dunning LT. Widespread lateral gene transfer among grasses. New Phytol. 2021;230: 2474–2486. pmid:33887801
  26. 26. Rossner R, Kaeberlein M, Leiser SF. Flavin-containing monooxygenases in aging and disease: Emerging roles for ancient enzymes. J Biol Chem. 2017;292: 11138–11146. pmid:28515321
  27. 27. Schlaich NL. Flavin-containing monooxygenases in plants: looking beyond detox. Trends Plant Sci. 2007;12: 412–418. pmid:17765596