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. 2022 Mar 24;10:e12979. doi: 10.7717/peerj.12979

Genome-wide characterization and expression of the TLP gene family associated with Colletotrichum gloeosporioides inoculation in Fragaria × ananassa

Yuchao Zhang 1, Lixiang Miao 1, Xiaofang Yang 1, Guihua Jiang 1,
Editor: Tika Adhikari
PMCID: PMC8958966  PMID: 35356470

Abstract

Background

Colletotrichum gloeosporioides, a soil-borne fungal pathogen, causes significant yield losses in many plants, including cultivated strawberry (Fragaria × ananassa, 2n = 8x = 56). Thaumatin-like proteins (TLPs) are a large and complex family of proteins that play a vital role in plant host defense and other physiological processes.

Methods

To enhance our understanding of the antifungal activity of F. × ananassa TLPs (FaTLP), we investigated the genome-wide identification of FaTLP gene families and their expression patterns in F. × ananassa plants upon pathogen infection. Moreover, we used RNA sequencing (RNA-seq) to detect the differences in the expression patterns of TLP genes between different resistant strawberry cultivars in response to C. gloeosporioides infection.

Results

In total, 76 TLP genes were identified from the octoploid cultivated strawberry genome with a mean length of 1,439 bp. They were distributed on 24 F. × ananassa chromosomes. The FaTLP family was then divided into ten groups (Group I–X) according to the comparative phylogenetic results. Group VIII contained the highest number of TLP family genes. qRT-PCR analysis results indicated that FaTLP40, FaTLP41, FaTLP43, FaTLP68, and FaTLP75 were upregulated following C. gloeosporioides infection in the resistant octoploid strawberry.

Conclusions

The data showed some differences in TLP gene expression patterns across different resistant strawberry cultivars, as well as faster TLP defense responses to pathogenic fungi in resistant cultivars. This study will aid in the characterization of TLP gene family members found in octoploid strawberries and their potential biological functions in plants’ defenses against pathogenic fungi.

Keywords: Fragaria × ananassa, Thaumatin like-proteins, Colletotrichum gloeosporioides, Gene family, Expression analysis, Antifungal activity

Introduction

Thaumatin-like proteins (TLPs) are important members of the highly complex gene family pathogenesis-related protein group 5 (PR5). They are highly homologous with sweet-tasting thaumatin protein produced by Thaumatococcus daniellii fruit (Wel & Loeve, 1972; Velazhahan, Datta & Muthukrishnan, 1999; Christensen et al., 2002; Loon, Rep & Pieterse, 2006). TLPs are abundant and highly diversified in plants (Loon, Rep & Pieterse, 2006; O’Leary, Poulis & von Aderkas, 2007; Liu, Zamani & Ekramoddoullah, 2010). According to a survey conducted in the UniProt database (https://www.uniprot.org/uniprot/?query=Thaumatin-like+proteins&sort=score), 1,816 TLPs (1,720 angiosperms, 82 gymnosperms, seven bryophytes, and seven algae species) from 187 different species have been identified (Faillace et al., 2019; Jesús-Pires et al., 2020). A great number of isoforms activated by biotic or abiotic stresses and multiple rounds of distinct gene duplication events were observed across the TLP gene family’s expansion and evolution in plants, suggesting that this superfamily has a complex pattern of molecular evolution (Liu, Zamani & Ekramoddoullah, 2010; Cao et al., 2016). Previous studies have indicated that plant TLPs consist of approximately 200 amino acids, have a molecular weight of 21–26 kD (Velazhahan, Datta & Muthukrishnan, 1999), and contain 10 to 16 conserved motifs (Hulo et al., 2008). These proteins exhibit a series of responses to biotic and abiotic stress factors in plants, such as pathogen invasion, drought, wounding, freezing, and salinity (Petre et al., 2011). They also play roles in a variety of physiological and developmental processes, including organ formation, fruit ripening, and seed germination (Salzman et al., 1998; Seo et al., 2008).

The octoploid cultivated strawberry (Fragaria × ananassa, 2n = 8x = 56) is an economically important perennial horticultural crop (FAO, IFAD, UNICEF, WFP, WHO, 2017) that is widely cultivated in China, but the main cultivar is ‘Benihoppe’ from Japan. ‘Benihoppe’ is susceptible to a range of diseases including anthracnose, which is one of the most destructive fungal diseases that results in considerable losses in strawberry production (Hammerschlag et al., 2006; Dean et al., 2012), especially at the seedling stage and early stages following transplanting. On the east coast of China, anthracnose in strawberry is mainly caused by the fungus Colletotrichum gloeosporioides (Zhang et al., 2017), which can infect all aerial plant parts, and the most severe symptoms are dwarf-stem and foliar lesions.

Pathogenesis-related (PR) proteins, including TLPs, exhibit significant antifungal activity in plants (Velazhahan, Datta & Muthukrishnan, 1999). TLP gene expression is responsive to infection by a variety of fungal pathogens, such as Colletotrichum, Podosphaera, Phytophthora, Fusarium, and Neurospora (Woloshuk et al., 1991; Narasimhan et al., 2003; Liu, Zamani & Ekramoddoullah, 2010; Rather et al., 2015). TLPs play multiple roles in inhibiting hyphal growth and spore germination of various pathogenic fungi (Roberts & Selitrennikoff, 1990; Woloshuk et al., 1991; De Freitas et al., 2011), binding β-1,3-glucans to destroy the stability of fungal membranes (Grenier, Potvin & Asselin, 2000; Osmond et al., 2001; Zareie, Melanson & Murphy, 2002), and stimulating plant defensive responses against pathogenic fungi to prevent fungal damage or reduce disease symptoms. Because of their effective antifungal activity, TLP genes are promising candidates for improving plant disease resistance. Overexpression of defense-related TLP genes in transgenic Arabidopsis (Rout, Nanda & Joshi, 2016), rice (Datta et al., 1999), tobacco (Singh et al., 2013), grape (He et al., 2017), wheat (Mackintosh et al., 2007), and potato (Acharya et al., 2013) significantly enhanced plant resistance to fungal diseases.

Resistance to a variety of pathogens has been a key breeding purpose in the development of commercial strawberry cultivars. Research on plant defensive responses against fungal pathogens indicate that TLPs are promising candidates for developing better anthracnose resistance in strawberry. Although the TLP gene has been studied in a variety of plants, the composition of the TLP gene family members in octoploid strawberry and their potential defense response to the invasion of pathogenic fungi, particularly C. gloeosporioides, remain largely unexplored. Additionally, many studies on strawberry anthracnose have focused on fungicides used for disease control, but not the molecular resistance mechanisms and engineered plant disease resistance of the octoploid strawberry.

This study aimed to identify the TLP gene family members in octoploid cultivated strawberry (F. × ananassa), and examine their transcription and expression characteristics during pathogenic fungi infection. The purpose of this study was to expand our understanding of the function of strawberry TLP genes in defense responses against C. gloeosporioides.

Materials and Methods

Identification and characterization of TLPs in F. × ananassa

A hidden Markov model (Eddy, 1998) was constructed using HMMER software (version 3.0) based on the TLP sequences of Arabidopsis (https://www.arabidopsis.org) and rice (https://rapdb.dna.affrc.go.jp). It was then used as query sequences to identify homologs in F. × ananassa (https://www.rosaceae.org/organism/24345). We used BLAST (https://blast.ncbi.nlm.nih.gov/Blast.cgi) to retrieve TLP sequences for F. × ananassa with an expectation value of e−10. After filtering out the redundant sequences, the aligned sequences were considered candidate sequences for further analysis. The SMART (http://smart.embl-heidelberg.de/) and Pfam (http://xfam.org/) databases were used to verify our identification results, and only the sequence containing the TLP domain (PF00314) was considered the final FaTLP sequence (Ivica, Tobias & Peer, 2012; El-Gebali et al., 2018). We used the ExPASy ProtParam tool (http://web.expasy.org/protparam/) to predict the biophysical properties of the final FaTLP proteins (Gasteiger et al., 2003), including their relative molecular weight (kDa) and theoretical isoelectric point (pI).

Phylogenetic analysis of TLP genes

We used the amino acid sequences of the TLP proteins identified in F. × ananassa, Fragaria vesca, Arabidopsis, and rice in the phylogenetic analysis. One representative sequence was selected from each clade of Arabidopsis and rice TLPs according to the phylogeny of these two species (Shatters et al., 2006; Zhao & Su, 2010), which we then used as reference sequences in our phylogenetic analysis. The F. vesca sequences were obtained from the Genome Database for Rosaceae (GDR; https://www.rosaceae.org/species/fragaria_vesca/genome_v4.0.a1), and the Arabidopsis and Oryza sequences were obtained from The Arabidopsis Information Resource (TAIR) (http://arabidopsis.org) and The Institute for Genomic Research (TIGR) (http://rice.plantbiology.msu.edu/blast.shtml) database respectively. ClustalW (http://www.clustal.org/) (Larkin et al., 2007) was used for multiple sequence alignment. MEGA 6.0 (http://www.megasoftware.net/) (Tamura et al., 2013) was used to perform a phylogenetic analysis of the aligned protein sequences using the neighbor-joining method with 1,000 bootstrap replicates.

Protein motif analysis

The conserved motifs of the TLP proteins in F. × ananassa were predicted using MEME software (http://meme.nbcr.net/meme/, v4.11.0) and the following criteria: minimum motif width of 6, maximum motif width of 200, and maximum number of motifs set at 20.

Chromosome distribution analysis

To determine the physical locations of FaTLP genes, we established the starting positions of all FaTLP genes identified from the F. × ananassa genome database. A diagram of the chromosome locations of FaTLP genes was generated using MG2C (http://mg2c.iask.in/mg2c_v2.0/).

Plant materials

‘Benihoppe’ (susceptible) and ‘Kaorino’ (resistant) strawberry seedlings (Mangandi, Peres & Whitaker, 2015; Han et al., 2019) were cultivated at the Zhejiang Academy of Agricultural Sciences. Experimental plants of the two strawberry cultivars were propagated from runners, rooted in 10-cm diameter pots, and grown in a dedicated room with a 16 h photoperiod. The average daytime temperature was 25.0 ± 1.5 °C while the nighttime temperature was around 18.0 ± 1.5 °C with 75% relative humidity. No fungicides were applied and fertilizer was applied proportionally as needed.

C. gloeosporioides infection

The pathogenic fungus C. gloeosporioides was cultured and provided by the Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences. For the propagation of C. gloeosporioides, we used oatmeal agar (OA) medium and the following steps: we weighed 30 g of oatmeal (Solarbio, https://www.solarbio.com/), boiled it for 1 h, and then strained it using four layers of gauze. We added 17 g of agar to the filtrate, adjusted the volume to 1 L using sterile water, autoclaved it at 121 °C for 15 min, and then divided it into petri dishes following sterilization. After cooling down, the pathogenic fungus was propagated on OA medium and stored for 7–10 days at 28 °C. The propagated spores were washed and collected with sterile water, and the concentration was adjusted to 4 × 106 spores/mL with sterile distilled water. The prepared C. gloeosporioides fungal suspension was used for inoculation. Three hundred plants were divided into three subgroups (control, susceptible, and resistant) with 100 plants each. Sixty-day-old strawberry seedlings were used for fungal inoculation. The strawberry leaves in the susceptible and resistant groups were sprayed with the spore suspension (4 × 106 spores/mL) using an atomizer until dripping. Control plants were similarly inoculated with sterile water. Twenty randomly-selected leaves from each group were sampled at 2, 6, 12, 24, and 48 h, and at 3, 4, 5, 6, and 7 d after inoculation. The samples were immediately frozen in liquid nitrogen and stored at −80 °C for further processing. Three replicates were sampled at each time point.

Transcriptome analysis

To determine the transcriptome profile of different resistant strawberry cultivars in response to C. gloeosporioides, 12 samples were used for RNA-seq analysis with three replicates per treatment: ‘Kaorino’-infected (24 h post-inoculation, hpi), ‘Kaorino’-uninfected, ‘Benihoppe’-infected (24 hpi), and ‘Benihoppe’-uninfected. The RNA-seq transcriptome library was prepared using the TruSeq RNA Sample Preparation Kit (Illumina, San Diego, CA, USA). We used HisAT2 (v2.1.0) (Kim et al., 2019) for sequence alignment and an annotated genome (Fragaria × ananassa Camarosa Genome Assembly v1.0.a1), available from the GDR (https://www.rosaceae.org/organism/24345), as a reference. The fragments per kilobase million (FPKM) value (Malone & Oliver, 2011) was used to identify differentially expressed genes (DEGs) between the two different samples. DESeq2 software (Anders & Huber, 2010) was used for differential expression analysis.

RNA isolation and quantitative RT-PCR (qRT-PCR) analysis

Total RNA was isolated using the modified CTAB method (Chang et al., 2007). The integrity of the RNA samples was examined using a U-0080D Protein nucleic acid spectrophotometer (Hitachi, Tokyo, Japan). cDNA was synthesized from 2 μg of total RNA using TranScript® II One-Step gDNA Removal and cDNA Synthesis SuperMix (TransScript®, Beijing, China). qRT-PCR was then carried out in a LightCycler® 96 real-time PCR system (Roche, Basel, Switzerland) with a DNA Green Master (Roche, Basel, Switzerland). The primers used for the validation of DEGs are shown in Table S5. The Actin gene was used as the reference gene. Each sample was repeated in triplicate.

Statistical analysis

Statistical analysis was carried out using SPSS 16.0 software (SPSS Inc., Chicago, IL, USA). The significance level was p < 0.05.

Results

Genome-wide identification of TLP genes in F. × ananassa

To understand the potential roles of TLPs in strawberry, we used cultivated strawberry (F. × ananassa) for genome-wide identification and characterization of TLP genes. We identified a total of 76 TLP gene members from F. × ananassa (designated as ‘FaTLP’), which was a greater amount than the number of TLP genes in many other plant species (De Jesus-Pires et al., 2020). Among the 76 FaTLPs identified, FaTLP68 was the longest (over 4,370 bp), FaTLP5 was the shortest (384 bp), and the mean length was approximately 1,439 bp. The molecular weights of these TLP genes ranged from 13.36 to 138.40 kD, with pI values between 4.27 and 8.77. Most of these genes were 200–400 aa in length with one to two introns and two to three exons, although several genes had over 10 introns/exons. Detailed information on the TLP genes, including their names, coding sequence (CDS) lengths, molecular weights, and pI values, can be found in Table 1.

Table 1. Physical and molecular characteristics of TLP genes in F. × ananassa.

Gene name Scaffold location (bp) Chromosome
position
Subgroup Length
(bp)
Size (aa) MW
(Da)
pI Extron Intron
FaTLP1 7,737,020 7,738,607 Chr1-2 VII 1,344 310 31,952.79 4.66 3 2
FaTLP2 24,918,873 24,919,901 Chr2-1 VI 1,029 342 35,319.38 4.41 1 0
FaTLP3 6,717,318 6,718,064 Chr3-4 III 747 248 26,625.50 8.58 1 0
FaTLP4 1,053,888 1,055,785 Chr5-1 V 1,218 405 43,590.76 5.43 2 1
FaTLP5 9,55,336 9,55,816 Chr5-4 V 384 127 13,364.01 6.79 2 1
FaTLP6 18,563,346 18,565,549 Chr6-1 VIII 1,208 332 35,850.27 8.61 2 1
FaTLP7 33,108,008 33,109,182 Chr6-1 VIII 1,033 250 26,542.12 8.27 2 1
FaTLP8 30,176,529 30,177,597 Chr7-1 VIII 858 285 30,512.75 7.8 3 2
FaTLP9 31,754,141 31,755,199 Chr7-1 VIII 780 259 27,642.45 7.36 4 3
FaTLP10 24,146,688 24,154,818 Chr7-2 V 3,289 848 92,352.63 5.06 10 9
FaTLP11 4,809,914 4,815,227 Chr7-4 V 3,069 792 87,475.76 5.44 9 8
FaTLP12 21,872,342 21,874,277 Chr1-1 VI 1,493 295 30,430.31 4.77 3 2
FaTLP13 21,880,819 21,883,234 Chr1-1 VII 1,540 409 42,778.42 6.31 5 4
FaTLP14 7,745,129 7,747,037 Chr1-2 VI 1,468 295 30,413.37 4.88 3 2
FaTLP15 6,305,276 6,306,911 Chr1-3 VII 1,409 314 32,383.19 4.53 3 2
FaTLP16 6,313,153 6,315,086 Chr1-3 VI 1,480 295 30,476.41 5.05 3 2
FaTLP17 5,551,432 5,554,101 Chr1-4 VII 1,469 393 41,477.24 5.96 5 4
FaTLP18 5,559,900 5,561,737 Chr1-4 VI 1,385 296 30,473.33 4.79 3 2
FaTLP19 17,180,554 17,182,275 Chr2-1 X 1,219 286 30,586.86 8.05 3 2
FaTLP20 25,893,167 25,894,288 Chr2-1 IX 1,039 228 23,591.69 4.56 2 1
FaTLP21 3,82,116 3,84,430 Chr2-1 VII 1,714 335 34,244.90 4.29 3 2
FaTLP22 3,89,384 3,92,027 Chr2-1 VI 1,443 276 29,395.70 8.11 3 2
FaTLP23 24,923,609 24,925,890 Chr2-1 VI 1,596 311 32,878.54 5.33 4 3
FaTLP24 22,298,735 22,301,183 Chr2-2 VI 1,323 253 26,818.66 7.83 2 1
FaTLP25 22,313,583 22,315,865 Chr2-2 VII 1,694 335 34,269.89 4.29 3 2
FaTLP26 4,205,420 4,209,653 Chr2-2 X 1,452 388 41,391.17 8.57 7 6
FaTLP27 1,581,587 1,583,723 Chr2-3 X 1,633 286 30,503.79 8.03 3 2
FaTLP28 22,764,585 22,767,122 Chr2-3 VI 1,401 276 29,459.78 7.83 3 2
FaTLP29 22,784,341 22,786,568 Chr2-3 VII 1,628 340 34,734.50 4.27 3 2
FaTLP30 2,891,948 2,893,222 Chr2-3 IX 1,187 255 26,322.57 4.29 2 1
FaTLP31 4,012,565 4,015,252 Chr2-3 VI 2,015 372 39,197.11 4.95 3 2
FaTLP32 25,284,514 25,286,825 Chr2-4 VI 1,707 373 39,232.11 4.96 3 2
FaTLP33 25,287,065 25,288,842 Chr2-4 VI 819 272 28,126.24 4.28 2 1
FaTLP34 19,300,457 19,310,292 Chr2-4 X 1,620 429 45,971.35 8.76 9 8
FaTLP35 5,05,512 5,18,409 Chr2-4 VI 2,885 319 34,141.17 8.26 5 4
FaTLP36 10,599,943 10,601,571 Chr5-1 I 1,484 253 27,092.00 8.77 2 1
FaTLP37 9,829,098 9,830,623 Chr5-2 I 1,400 253 27,084.96 8.77 2 1
FaTLP38 18,257,006 18,258,448 Chr5-3 I 1,317 253 27,088.95 8.77 2 1
FaTLP39 24,102,586 24,103,807 Chr5-3 VIII 1,076 247 26,010.34 5.16 2 1
FaTLP40 26,365,436 26,371,141 Chr5-3 V 2,208 735 79,611.59 6.51 3 2
FaTLP41 9,73,897 9,76,302 Chr5-4 V 1,278 425 46,444.21 6.74 2 1
FaTLP42 18,566,292 18,567,674 Chr6-1 VIII 1,266 237 25,411.68 5.78 2 1
FaTLP43 24,059,925 24,061,244 Chr6-1 VIII 1,016 244 25,726.88 4.46 2 1
FaTLP44 27,284,404 27,285,539 Chr6-1 II 1,050 244 25,699.44 7.39 2 1
FaTLP45 3,114,373 3,115,524 Chr6-1 IV 1,055 259 28,086.23 8.26 2 1
FaTLP46 32,540,333 32,541,588 Chr6-1 VIII 1,114 250 26,542.12 8.27 2 1
FaTLP47 30,036,263 30,037,271 Chr6-2 IV 910 259 28,148.17 7.38 2 1
FaTLP48 33,609,425 33,610,486 Chr6-3 II 976 244 25,706.48 7.39 2 1
FaTLP49 2,574,069 2,574,953 Chr6-3 IV 740 244 26,497.36 7.91 3 2
FaTLP50 63,531 64,471 Chr6-4 IV 842 262 28,599.78 8.27 2 1
FaTLP51 11,952,207 11,953,479 Chr6-4 VIII 991 244 25,783.89 4.35 2 1
FaTLP52 18,037,077 18,040,378 Chr6-4 VIII 1,481 247 26,227.58 4.75 2 1
FaTLP53 9,212,045 9,213,306 Chr6-4 II 1,176 244 25,651.40 7.39 2 1
FaTLP54 25,239,035 25,240,789 Chr7-1 II 1,053 290 30,926.20 8.03 3 2
FaTLP55 25,879,973 25,884,142 Chr7-1 V 2,994 658 72,264.64 5.11 8 7
FaTLP56 25,867,595 25,875,423 Chr7-1 V 2,577 858 94,842.94 5.84 13 12
FaTLP57 23,075,906 23,077,305 Chr7-2 II 873 290 30,932.29 8.21 3 2
FaTLP58 23,519,637 23,522,646 Chr7-2 V 2,045 651 71,453.60 5.25 7 6
FaTLP59 24,128,411 24,131,354 Chr7-2 V 1,941 646 71,288.52 5.42 8 7
FaTLP60 29,017,016 29,018,415 Chr7-2 II 873 290 30,886.26 8.21 3 2
FaTLP61 1,564,471 1,566,282 Chr7-3 VIII 1,621 332 35,466.06 5.00 3 2
FaTLP62 6,391,832 6,394,818 Chr7-3 V 2,031 661 72,913.56 5.38 8 7
FaTLP63 7,013,691 7,015,141 Chr7-3 II 1,156 362 39,230.87 8.62 4 3
FaTLP64 6,395,823 6,402,472 Chr7-3 V 2,787 844 92,124.41 5.85 9 8
FaTLP65 4,87,772 4,89,436 Chr7-4 VIII 1,474 332 35,497.10 5.00 3 2
FaTLP66 5,545,850 5,547,249 Chr7-4 II 1,089 362 39,081.68 8.42 3 2
FaTLP67 6,225,650 6,227,172 Chr7-4 II 996 331 35,782.12 7.45 3 2
FaTLP68 4,792,251 4,809,304 Chr7-4 V 4,370 1,255 1,38,401.93 6.19 18 17
FaTLP69 4,018,164 4,020,305 Chr2-3 VI 1,134 377 39,155.99 4.62 3 2
FaTLP70 24,864,686 24,865,432 Chr3-2 III 747 248 26,635.50 8.58 1 0
FaTLP71 22,604,600 22,605,641 Chr4-2 VIII 726 241 24,694.60 4.62 2 1
FaTLP72 29,107,013 29,108,091 Chr4-3 VIII 726 241 24,674.58 4.48 2 1
FaTLP73 1,058,206 1,058,952 Chr5-1 V 747 248 26,881.21 5.55 1 0
FaTLP74 24,100,394 24,101,427 Chr5-3 VIII 921 247 26,326.74 4.75 2 1
FaTLP75 16,618,205 16,619,717 Chr6-2 VIII 1,127 297 32,080.80 4.28 3 2
FaTLP76 24,122,820 24,126,239 Chr7-2 V 2,392 230 24,400.62 6.70 2 1

Note:

Detailed information on the FaTLP genes, including their names, chromosome position, CDS lengths, molecular weights, and pI values.

Phylogenetic relationships of TLPs in major plant species

To investigate the evolutionary relationship of the TLP gene families, 10 representative Arabidopsis thaliana and Oryza sativa TLPs sequences were used as reference sequences together with F. × ananassa and F. vesca TLPs in the phylogenetic analysis. Similar to the phylogenic results of Arabidopsis and Oryza TLPs (Shatters et al., 2006), the 76 FaTLPs were also classified into 10 phylogenetic groups, Groups I to X (Fig. 1A). A maximum number (16) of FaTLPs were clustered in Group VIII, followed by Group V (15), and these two groups accounted for almost half of the FaTLPs. Groups III and IX contained the least amount of TLP family genes with two genes each. Similarly, most of the F. vesca TLPs were concentrated in Groups VIII and V, and their distribution was more uneven than the FaTLPs.

Figure 1. Phylogenetic analysis and chromosome distribution analyses of the TLP gene family.

Figure 1

(A) A phylogenetic tree was constructed for F. × ananassa, F. vesca, Arabidopsis thaliana, and Oryza sativa using MEGA 6.0 with bootstrap values of 1,000. All of the tested TLP genes were divided into 10 groups (Groups I to X), represented by different colors. (B) The distribution of FaTLP on 24 different chromosomes.

Chromosomal distribution of TLP family genes in F. × ananassa

To explore the distribution of TLP family genes on the chromosomes of F. × ananassa, we performed a chromosomal localization analysis. The results showed that the FaTLP members were distributed on 24 (42.9% of 56) F. × ananassa chromosomes (Fig. 1B). The number of FaTLP genes for each chromosome varied significantly. The largest number of genes (seven) was detected on Chr6-1; followed by six genes on Chr2-1, Chr2-3, and Chr7-2; five genes on Chr7-1 and Chr7-4; and the fewest were found on Chr3-2, Chr3-4, Chr4-2, Chr4-3, and Chr5-2 (one per chromosome). Similar chromosomal distribution has been shown in other species, Arabidopsis TLP genes were distributed on seven (29.2% of 24) chromosomes, and there were 25 (56.8% of 44) in rice and 28 (57.1% of 49) in poplar TLP genes (Cao et al., 2016). Additionally, the same paraphyletic group of genes were not distributed on a certain chromosome; that is, all seven genes in Group VII were distributed on seven chromosomes (Chr1-1, Chr1-2, Chr1-3, Chr1-4, Chr2-1, Chr2-2, and Chr2-3), and all nine genes in Group II were distributed on seven chromosomes (Chr6-1, Chr6-3, Chr6-4, Chr7-1, Chr7-2, Chr7-3, and Chr7-4). Segmental duplications might be a major factor that contributed to these distributional properties (Cannon et al., 2004). However, there are a few exceptions. For example, five genes from Group VIII were distributed on the same chromosome (Chr6-1), suggesting that they may come from the tandem duplications (Cao et al., 2016; Faillace et al., 2019). Our results indicated that the expansion and diversification of the TLP gene family in F. × ananassa might be caused by tandem and segmental duplication events. Moreover, the genes were not evenly distributed on a certain chromosome and more genes were distributed at both ends of the chromosome. For example, Chr1-1, Chr2-2, Chr2-3, Chr3-2, Chr4-2, Chr4-3, Chr5-4, Chr6-3, Chr7-1, and Chr7-2 were closer to the ends, while Chr5-2 and Chr6-4 were near the centromere. This character may be due to the distribution of more repeat sequences in the centromere (Wang et al., 2020).

Conserved motifs of TLP genes

The diversity of the motif compositions of TLP genes in F. × ananassa was assessed using MEME software, and a total of 15 conserved motifs were obtained. The distribution of these 15 motifs in the TLPs are shown in Fig. 2. FaTLP10 and FaTLP68 contained all 15 conserved motifs. In addition, four genes (FaTLP55, FaTLP56, FaTLP59, and FaTLP62) contained 14 motifs but did not include motif11. Motif1, 2, 3, 4, 5, 6, 7, 10, 11, and 15 were found in most of the FaTLP genes. Furthermore, conserved motif6 was widely distributed across all 76 FaTLP genes. Motif2 and motif7 were absent only in one gene (FaTLP5), and motif3 was not found in two genes (FaTLP9 and FaTLP33). These 10 conserved motifs were also common across all groups (Group I to X). Moreover, some members of Group V (FaTLP10, FaTLP11, FaTLP55, FaTLP56, FaTLP58, FaTLP59, FaTLP62, FaTLP64, and FaTLP68) shared several unique motifs, namely motif8, 9, 12, 13, and 14. These results suggested that the TLP genes in each group shared several unique motifs and may have certain functional similarities. Moreover, these motifs were relatively conserved, which is why they may be used as markers for the identification of TLP genes and important functional components of the TLP gene family.

Figure 2. The conserved motif analyses of the TLP proteins of F. × ananassa.

Figure 2

(A) The motif compositions were predicted using MEME software, and the 15 conserved motifs are represented by different colors. (B) The sequence logos of all 15 motifs of the FaTLP.

Transcriptome changes in different resistant strawberry cultivars in response to C. gloeosporioides infection

To better understand the transcriptome profile of different resistant strawberry cultivars in response to C. gloeosporioides, RNA-seq analysis was used on 12 samples (‘Kaorino’-infected, ‘Kaorino’-uninfected, ‘Benihoppe’-infected, and ‘Benihoppe’-uninfected) with three replicates per treatment. Approximately 576 million raw reads were obtained, and the clean reads were mapped to the F. × ananassa genome (Table S1). Based on p-adjust < 0.05, and log2FC ≥ 1, a total of 10,462 and 13,682 DEGs were detected in the ‘Kaorino’-infected/uninfected (resistant (R) group) and ‘Benihoppe’-infected/uninfected (susceptible (S) group) leaves, respectively. Additionally, 5,490 (40.12%) genes were downregulated in the S-group compared to 4,765 (45.55%) in the R-group (log2FC ≤ −1) (Fig. S1, Table S2). More genes were upregulated in the S-group (8,192, 59.87%) than in the R-group (5,697, 54.45%) (log2FC ≥ 1) (Fig. S1, Table S3). Based on sequence homology, the DEGs were classified into 48 functional groups belonging to three main GO ontologies: cellular components, molecular functions, and biological processes. Among these DEGs, 2,993 (28.61%) genes in R-group and 3,564 (26.05%) genes in S-group were involved in the GO categories “response to stimulus” (Fig. S2), which contained three subgroups associated with fungal resistance: GO:0050832, GO:0009817, and GO:0009620 (Fig. S3). Six DEGs annotated as TLPs were categorized into these functional subgroups, indicating that these DEGs varied greatly in response to C. gloeosporioides (Table S4). According to our identification of the TLP gene family in octoploid strawberry, the six differentially expressed TLP genes were identified as FaTLP40, FaTLP41, FaTLP43, FaTLP62, FaTLP68, and FaTLP75. The RNA-seq results showed that at 24 hpi, FaTLP40 and FaTLP41 were upregulated and FaTLP75 was downregulated in the resistant group, while FaTLP62 was upregulated in the susceptible group, and FaTLP43 was downregulated and FaTLP68 was upregulated in both groups.

qRT-PCR analysis of TLP genes in response to C. gloeosporioides infection

To further understand the roles of TLP genes in strawberry, we investigated the expression profiles of FaTLP genes in F. × ananassa. The qRT-PCR results of these TLP genes in different resistant strawberry cultivars after infection with the fungal pathogen showed a wide range of expression responses (Fig. 3B, File S1). The induction expression of FaTLP68 was significant in the resistant cultivar (‘Kaorino’) at 12 hpi, although it decreased over time, whereas the upregulation of FaTLP68 was detected at 24 hpi in the susceptible cultivar (‘Benihoppe’), and its expression peak appeared later than that of the resistant cultivar. FaTLP40 and FaTLP41 were also highly induced in both strawberry cultivars but there were two expression peaks. This induction increased over time and reached its first peak at 24 hpi and the second peak at 4 d post-inoculation (dpi) in the resistant cultivar, whereas the susceptible cultivar had its first expression peaks of FaTLP40 and FaTLP41 at 48 hpi. The expression of FaTLP62 was considerably upregulated at 24 hpi only in the susceptible cultivar. These results showed a trend similar to the one observed using RNA-seq. Nevertheless, a gradual downregulation was observed for FaTLP43 and FaTLP75 in ‘Kaorino’ after pathogen infection, which then significantly increased at 12 hpi and 48 hpi, respectively, followed by a decrease until 7 dpi. This was not entirely consistent with the results of the transcriptome analysis, indicating that FaTLP43 and FaTLP75 were downregulated at 24 hpi. However, in the susceptible cultivar, the expression patterns of FaTLP43 and FaTLP75 were similar during the initial stage after inoculation but the maximum peak occurred at 4 dpi (1 day after disease symptoms were visible to the naked eye; Fig. 3A). Overall, the qRT-PCR analysis indicated a clear upregulation of the six abovementioned TLP genes following C. gloeosporioides infection in the octoploid strawberry.

Figure 3. Time course of different resistant strawberry leaves and the qRT-PCR results of TLP gene responses to C. gloeosporioides infection.

Figure 3

(A) The progression of symptoms between ‘Kaorino’ and ‘Benihoppe’ after C. gloeosporioides inoculation. Visible symptoms appeared earlier and progressed faster in ‘Benihoppe’. (B) The expression analysis of FaTLP (FaTLP40, FaTLP41, FaTLP43, FaTLP62, FaTLP68, and FaTLP75) in different resistant strawberry cultivars after infection. The x-axis represents the different times post-inoculation. The y-axis represents relative expression. Black and gray sections represent ‘Kaorino’ and ‘Benihoppe’, respectively. The results were normalized against the reference gene and shown as means of three replicates ± SDs.

Discussion

TLPs are a PR protein family that plays a key role in plant defense. In this study, 76 TLP gene members were identified in F. × ananassa, and their characteristics, phylogenetic relationships, motif organization, and chromosomal location were investigated. Using reference sequences from Arabidopsis and Oryza, F. × ananassa TLP genes were clustered into 10 paraphyletic groups, although the distribution of the TLP genes in each group was not uniform. Phylogenetic studies using Arabidopsis, Oryza (Shatters et al., 2006), Populus (Zhao & Su, 2010) and barley (Iqbal et al., 2020) species found that TLPs were also unevenly distributed across the groups, whereas the largest groups contained 11 (36.67%), 5 (23.81), 25 (45.45%), and 7 (36.84%) TLPs, respectively. Previous studies hypothesized that those clades containing the largest gene members would be more active against pathogens or have other exogenous stimuli and more rapid adaptive evolution (Zhao & Su, 2010). In this study, Groups V and VIII were the largest gene clades in our paraphyletic results. Our reference TLP sequence (AT4G11650) from Arabidopsis, annotated as an osmotin-like gene ATOSM34, was found in Group V. Three other PR TLP genes from Arabidopsis (At5g24620) and Oryza (Os07g23470 and Os08g40600) involved in defense response to pathogens (Ascencio-Ibáñez et al., 2008; Liu, Zamani & Ekramoddoullah, 2010) were also clustered in Group V and Group VIII, although their exact functions have not been verified. Osmotin is a TLP belonging to the PR5 family that was originally regarded as a salt-induced protein (Singh et al., 1989), and its antifungal mechanism of action has been studied in detail (Xu et al., 1994; Ibeas et al., 2001; Salzman et al., 2004). ATOSM34 has been reported as a key Arabidopsis gene involved in the defense response to biotic and abiotic stress (Capelli et al., 1997; Mukherjee et al., 2010; Vibhuti et al., 2016; Park & Kim, 2021). We used transcriptome data to identify the six genes encoding TLP proteins associated with plant responses to C. gloeosporioides infection, FaTLP40, FaTLP41, FaTLP43, FaTLP62, FaTLP68, and FaTLP75, which were also clustered in Group V (FaTLP40, FaTLP41, FaTLP62, and FaTLP68) and Group VIII (FaTLP43 and FaTLP75), respectively. These FaTLP genes clustered in the same clade as the reference genes, which have anti-fungal functions, indicating that the TLP genes belonging to the same phylogenetic group may have certain functional similarities.

Further qRT-PCR analysis verified that five of the TLP genes were up-regulated in resistant strawberry cultivars upon C. gloeosporioides infection (Fig. 3). Upregulation or overexpression of TLP genes often results in enhanced antifungal activity against several different pathogenic fungi (Datta et al., 1999; Fagoaga et al., 2001; Kalpana et al., 2006). For example, overexpression of barley TLP-1 in transgenic wheat lines improved pathogen resistance to Fusarium graminearum (Mackintosh et al., 2007). Similarly, increased TLP gene expression in transgenic tobacco plants enhanced resistance to Pythium aphanidermatum and Rhizoctonia solani (Rajam et al., 2007), while overexpression of the TLP gene VaTLP improved downy mildew resistance in Vitis vinifera (He et al., 2017). In turn, significant upregulation of FaPR5-1 and FaPR5-2 was observed in the salicylic acid-primed defense response of octoploid strawberry to Podosphaera aphanis (Feng et al., 2020). Ultimately, these results suggest that FaTLP40, FaTLP41, FaTLP43, FaTLP68, and FaTLP75 may have potential functions in plant resistance responses to C. gloeosporioides.

Our findings demonstrated an initiation of transcriptional responses in strawberry leaves during C. gloeosporioides invasion for some FaTLP genes. Additionally, the expression patterns of these genes revealed that the two different resistant strawberry cultivars differed in their temporal defense responses. FaTLP43 and FaTLP75 activated defense responses much faster in ‘Kaorino’ (<48 hpi) than in the susceptible cultivar ‘Benihoppe’ (4 dpi). Therefore, we hypothesized that during C. gloeosporioides inoculation in strawberry leaves, the spread of the fungus was suppressed because of a early defense response in the resistant cultivar while the pathogen spread out of control in the susceptible cultivar due to the delayed defense response. Similar results were also reported in the response of strawberries to Verticillium dahliae (Besbes, Habegger & Schwab, 2019) and Podosphaera aphanis (Feng et al., 2020) infection, which supports our hypothesis. The early activated defense mechanism of these TLP genes in resistant cultivar such as ‘Kaorino’ needs to be further studied. Our results provide a new strategy for developing anthracnose-resistant strawberry cultivars in the future by promoting early response TLP gene expression with antifungal activity in susceptible cultivars.

Conclusion

In this study, we performed genome-wide identification and characterization of TLPs in octoploid strawberry. A total of 76 TLP genes (FaTLP1–76) were identified using genome-wide screening. Comparative phylogenetic analysis divided the TLPs into 10 groups and the functions of TLPs in F. × ananassa were analyzed. Our qRT-PCR analysis indicated a clear upregulation of five TLP genes in resistant strawberry leaves infected with C. gloeosporioides. Furthermore, our results showed differences in TLP gene expression patterns between two different resistant strawberry cultivars. We concluded that the TLPs’ early activated defense to pathogenic fungi might be a reason why the resistant strawberry cultivar ‘Kaorino’ showed greater anthracnose resistance than the susceptible cultivar ‘Benihoppe’. This study lays the foundation for further exploration of the antifungal function of TLP genes in F. × ananassa, and provides new strategies for improving strawberry resistance to anthracnose through genetic engineering.

Supplemental Information

Supplemental Information 1. RNA-Seq reads and reads mapping.
DOI: 10.7717/peerj.12979/supp-1
Supplemental Information 2. Differentially expressed genes in Kaorino-infected/uninfected.

Based on p-adjust < 0.05, and |log2FC| > 1.

DOI: 10.7717/peerj.12979/supp-2
Supplemental Information 3. Differentially expressed genes in Benihoppe-infected/uninfected.

Based on p-adjust < 0.05, and |log2FC| > 1.

DOI: 10.7717/peerj.12979/supp-3
Supplemental Information 4. Differentially expressed genes of TLP.

Based on p-adjust < 0.05, and |log2FC| > 1.

DOI: 10.7717/peerj.12979/supp-4
Supplemental Information 5. Primer sequences derived from qRT-qPCR analysis.

The Actin gene was used as a reference gene. Each sample was repeated in triplicate.

DOI: 10.7717/peerj.12979/supp-5
Supplemental Information 6. The number of up-or downregulated DEGs 24 h post inoculation (hpi) in both groups.

The x-axis represents the different treatments. The y-axis indicates the number of DEGs. Black and gray sections represent upregulated and downregulated genes, respectively.

DOI: 10.7717/peerj.12979/supp-6
Supplemental Information 7. Histogram of the Gene Ontology (GO) classifications of ‘Kaorino’-infected/uninfected and ‘Benihoppe’-infected/uninfected.

The x-axis represents enriched GO processes, and different colors represent different GO processes. The y-axis indicates the total number of genes annotated to each GO process.

DOI: 10.7717/peerj.12979/supp-7
Supplemental Information 8. Histogram of DEGs associated with fungal resistance in three GO process subgroups.

The x-axis represents the number of DEGs. The y-axis indicates the three subgroups associated with fungal resistance. Black and gray sections represent ‘Kaorino’-infected/uninfected and ‘Benihoppe’-infected/uninfected, respectively.

DOI: 10.7717/peerj.12979/supp-8
Supplemental Information 9. Raw data for qRT-PCR.
DOI: 10.7717/peerj.12979/supp-9

Acknowledgments

We thank Dr. Li Fang and Dr. Yunye Xie of the Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences for providing the pathogenic fungus C. gloeosporioides used in this study.

Funding Statement

This work was supported by Science and Technology Program of Zhejiang Province (No. LY20C150003, No. 2021C02066-7, No. 2021XTTGSC02-2, No. 2021SNLF009). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Additional Information and Declarations

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Yuchao Zhang conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper, and approved the final draft.

Lixiang Miao performed the experiments, analyzed the data, prepared figures and/or tables, and approved the final draft.

Xiaofang Yang performed the experiments, prepared figures and/or tables, and approved the final draft.

Guihua Jiang conceived and designed the experiments, analyzed the data, authored or reviewed drafts of the paper, and approved the final draft.

Data Availability

The following information was supplied regarding data availability:

The raw data of the RNA-seq experiment is available at NCBI Sequence Read Archive: PRJNA754844.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Information 1. RNA-Seq reads and reads mapping.
DOI: 10.7717/peerj.12979/supp-1
Supplemental Information 2. Differentially expressed genes in Kaorino-infected/uninfected.

Based on p-adjust < 0.05, and |log2FC| > 1.

DOI: 10.7717/peerj.12979/supp-2
Supplemental Information 3. Differentially expressed genes in Benihoppe-infected/uninfected.

Based on p-adjust < 0.05, and |log2FC| > 1.

DOI: 10.7717/peerj.12979/supp-3
Supplemental Information 4. Differentially expressed genes of TLP.

Based on p-adjust < 0.05, and |log2FC| > 1.

DOI: 10.7717/peerj.12979/supp-4
Supplemental Information 5. Primer sequences derived from qRT-qPCR analysis.

The Actin gene was used as a reference gene. Each sample was repeated in triplicate.

DOI: 10.7717/peerj.12979/supp-5
Supplemental Information 6. The number of up-or downregulated DEGs 24 h post inoculation (hpi) in both groups.

The x-axis represents the different treatments. The y-axis indicates the number of DEGs. Black and gray sections represent upregulated and downregulated genes, respectively.

DOI: 10.7717/peerj.12979/supp-6
Supplemental Information 7. Histogram of the Gene Ontology (GO) classifications of ‘Kaorino’-infected/uninfected and ‘Benihoppe’-infected/uninfected.

The x-axis represents enriched GO processes, and different colors represent different GO processes. The y-axis indicates the total number of genes annotated to each GO process.

DOI: 10.7717/peerj.12979/supp-7
Supplemental Information 8. Histogram of DEGs associated with fungal resistance in three GO process subgroups.

The x-axis represents the number of DEGs. The y-axis indicates the three subgroups associated with fungal resistance. Black and gray sections represent ‘Kaorino’-infected/uninfected and ‘Benihoppe’-infected/uninfected, respectively.

DOI: 10.7717/peerj.12979/supp-8
Supplemental Information 9. Raw data for qRT-PCR.
DOI: 10.7717/peerj.12979/supp-9

Data Availability Statement

The following information was supplied regarding data availability:

The raw data of the RNA-seq experiment is available at NCBI Sequence Read Archive: PRJNA754844.


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