Literature DB >> 35913957

Transcriptome analysis of female western flower thrips, Frankliniella occidentalis, exhibiting neo-panoistic ovarian development.

Du-Yeol Choi1, Yonggyun Kim1.   

Abstract

The western flower thrips, Frankliniella occidentalis, is one of the most devastating insect pests with explosive reproductive potential. However, its reproductive physiological processes are not well understood. This study reports the ovarian development and associated transcriptomes of F. occidentalis. Each ovary consisted of four ovarioles, each of which contained a maximum of nine follicles in the vitellarium. The germarium consisted of several dividing cells forming a germ cell cluster, presumably consisting of oocytes and nurse cells. The nurse cells were restricted to the germarium while the subsequent follicles did not possess nurse cells or a nutritive cord, supporting the neo-panoistic ovariole usually found in thysanopteran insects. Oocyte development was completed 72 h after adult emergence (AAE). Transcriptome analysis was performed at mid (36 h AAE) and late (60 h AAE) ovarian developmental stages using RNA sequencing (RNASeq) technology. More than 120 million reads per replication were matched to ≈ 15,000 F. occidentalis genes. Almost 500 genes were differentially expressed at each of the mid and late ovarian developmental stages. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that these differentially expressed genes (DEGs) were associated with metabolic pathways along with protein and nucleic acid biosynthesis. In both ovarian developmental stages, vitellogenin, mucin, and chorion genes were highly (> 8-fold) expressed. Endocrine signals associated with ovarian development were further investigated from the DEGs. Insulin and juvenile hormone signals were upregulated only at 36 h AAE, whereas the ecdysteroid signal was highly maintained at 60 h AAE. This study reports the transcriptome associated with the ovarian development of F. occidentalis, which possesses a neo-panoistic ovariole.

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Year:  2022        PMID: 35913957      PMCID: PMC9342723          DOI: 10.1371/journal.pone.0272399

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


1. Introduction

The western flower thrip, Frankliniella occidentalis (Pergande) (Thysanoptera: Thripidae), is one of the most devastating insect pests to many horticultural crops, especially those in greenhouses [1]. Both the larval and adult stages cause damage to plants by directly feeding on leaves or flowers. Especially, adults transmit plant viruses including tomato spotted wilt virus (TSWV) [2]. TSWV infection becomes serious and causes massive economic loss in hot pepper production in Korea [3]. This pest, originally native to North America, has spread to more than 60 countries since the late 1970s, including Canada, Australia, the United Kingdom, and far East Asian countries [4]. Various techniques such as chemical insecticides, entomopathogens, and pheromone traps have been applied to control F. occidentalis without satisfactory efficacy due to the insect’s specific hiding behavior and insecticide resistance [5]. The thrips exhibits arrhenotokous parthenogenesis, with females developing from fertilized eggs and males from unfertilized eggs [6]. A brief immature period less than 10 days along with this various reproductive modes allow the thrips to rapidly build up the field populations during crop cultivating periods and so frequently leads to outbreaks beyond economic injury level [6]. Along with high reproductive potential, this type of mating behavior contributes to a rapid population increase and the development of insecticide resistance [7]. However, the molecular processes underlying reproduction and its regulation in this species remain unclear. To investigate the physiological processes of the ovarian development of F. occidentalis, transcriptome analysis is useful for understanding the expressed genes associated with reproduction. A draft genome (415.8 Mb) of F. occidentalis was sequenced and its 16,859 genes were annotated into different functional categories including chemosensory receptors, detoxification, salivary gland, immunity, and development [8]. This suggests that RNA sequencing (RNASeq) analysis would be highly validated by this genomic information. To identify the genes associated with ovarian development, this study investigated the ovarian development of F. occidentalis after adult emergence. After determining the mid and late ovarian developmental stages, transcriptomes were assessed using the NovaSeq 6000 platform. Subsequent differentially expressed gene (DEG) analysis in different developmental stages of female adults predicted the genes associated with ovarian development.

2. Materials and methods

2.1. Thrip rearing

F. occidentalis adults were obtained from Bio Utility, Inc. (Andong, Korea) and reared in a laboratory under conditions of 27 ± 1°C constant temperature, a 16:8 h (light:dark) photoperiod, and relative humidity of 60 ± 5%. The insects were reared on sprouted bean seed kernels.

2.2. Dissection of ovaries and microscopic observation

Different ages of female western flower thrips were dissected in 1 × phosphate-buffered saline (PBS) under a stereomicroscope at 30× magnification. PBS was prepared with 100 mM phosphate buffer containing 0.7% NaCl (pH 7.4). The ovaries were pulled from the abdominal tip and fixed with 3.7% paraformaldehyde in a wet chamber under darkness at room temperature (RT) for 60 min. After washing three times with 1 × PBS, the cells in the ovarioles were permeabilized with 0.2% Triton X-100 in 1 × PBS at RT for 20 min. The cells were then washed three times and blocked with 5% skim milk (MB cell, Seoul, Korea) in 1 × PBS at RT for 60 min. After washing three times, the cells were incubated with DAPI (4′,6-diamidino-2-phenylindole, 1 mg/mL) diluted 1,000 times in PBS at RT for 2 min for nuclear staining. After washing three times, the ovarian cells were observed under a fluorescence microscope (DM2500, Leica, Wetzlar, Germany) at 200× magnification.

2.3. RNA extraction and RNASeq analysis

Total RNAs were extracted from the whole bodies of female F. occidentalis at different ages (0, 36, and 60 h after adult emergence). Three independent samples were used for three replications at each age. Each sample consisted of 50 females. RNA extraction was performed using Trizol reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions. An RNA library was generated using TruSeq Stranded Total RNA with Ribo-Zero H/M/R_Gold (Illumina, San Diego, CA, USA). RNA sequencing was performed on the NovaSeq 6000 platform (Illumina) from Macrogen (Seoul, Korea). The RNA sequence was trimmed using CLC Workbench (QIAgen, Hilden, Germany). To calculate relative transcript accumulation, reads per kilobase per million (RPKM) mappable reads of the F. occidentalis genome (GenBank accession number: GCF_000697945.2) were estimated using CLC Workbench based on a template of Focc_2.1 version with a trimmed sequence of more than 50 bp.

2.4. Bioinformatics

DEGs were selected based on a fold change of ≥ 2.0 and a P-value of < 0.05 with three biological replicates by comparing RPKM values at 36 h or 60 h after adult emergence (AAE) to those at 0 h AAE. KEGG pathway analysis was performed to test the statistical enrichment of DEGs using the KEGG mapper (https://www.kegg.jp/kegg/) by converting the National Center for Biotechnology Information (NCBI) Gene ID to a KEGG ID through the convert ID tool of KEGG mapper.

2.5. RT-qPCR

After RNA extraction, RNA was resuspended in nuclease-free water and quantified using a spectrophotometer (NanoDrop, Thermo Fisher Scientific, Wilmington, DE, USA). RNA (500 ng) was used for cDNA synthesis with RT PreMix (Intron Biotechnology, Seoul, Korea) containing oligo dT primers according to the manufacturer’s instructions. All gene expression levels in this study were determined using a real-time polymerase chain reaction (PCR) machine (Step One Plus Real-Time PCR System, Applied Biosystem, Singapore) under the guidelines of [9]. Real-time PCR was conducted in a reaction volume of 20 μL containing 10 μL of Power SYBR Green PCR Master Mix (Thermo Scientific Korea), 3 μL of cDNA template (200 ng), and each 1 μL (10 pmol) of forward and reverse primers (S1 Table). After initial heat treatment at 95°C for 2 min, qPCR was performed with 40 cycles of denaturation at 95°C for 30 sec, annealing at 53 ~ 55°C for 30 sec, and extension at 72°C for 30 sec. The expression level of elongation factor-1 (EF-1, S1 Table) was used as a reference to normalize the target gene expression levels under different treatments. Quantitative analysis was performed using the comparative CT (2-ΔΔCT) method [10]. All experiments were independently replicated three times.

2.6. Statistical analysis

All the continuous variable data were subjected to a one-way analysis of variance using PROC GLM in the SAS program [11]. Means were compared with Duncan`s multiple range test (DMRT) at type I error = 0.05.

3. Results

3.1. Ovarian development in F. occidentalis

Dissection of 3-day-old female adults showed that a pair of ovaries contained eight ovarioles (Fig 1A). The four ovarioles in each ovary were joined to a lateral oviduct and the two lateral oviducts were combined to the common oviduct. Each ovariole contained a string of follicles and was divided into a germarium and a vitellarium depending upon the presence of matured oocytes (Fig 1B). In the germarium, small cells were closely attached and formed a germ cell cluster. The vitellarium contained nine follicles, each of which was composed of oocytes and follicular epithelium without any nurse cells. The terminal follicles were usually chorionated.
Fig 1

Ovarian development of F. occidentalis.

(A) Internal reproductive organs of 2-day-old females include a pair of ovaries (‘Ov’), 8 ovarioles (‘I-VIII’), a lateral oviduct (‘Lo’), and a common oviduct (‘Co’). (B) Ovariole structure divided into the germarium and the vitellarium. A total of 9 follicles are numbered from proximally to distally in the differential interference contrast (‘DIC’) picture. The white follicle represents chorionated oocytes. In the DAPI picture, each oocyte in the follicle is surrounded by follicular epithelium (‘FE’). In the germarium, the germ cell cluster (‘GCC’) is located near to the oocyte (‘OC’). (C) Ovarian development with female age. The ovariole length represents the germarium and vitellarium. Chorionated oocytes were counted per ovary. Each measurement used individual thrips and was replicated 5 times.

Ovarian development of F. occidentalis.

(A) Internal reproductive organs of 2-day-old females include a pair of ovaries (‘Ov’), 8 ovarioles (‘I-VIII’), a lateral oviduct (‘Lo’), and a common oviduct (‘Co’). (B) Ovariole structure divided into the germarium and the vitellarium. A total of 9 follicles are numbered from proximally to distally in the differential interference contrast (‘DIC’) picture. The white follicle represents chorionated oocytes. In the DAPI picture, each oocyte in the follicle is surrounded by follicular epithelium (‘FE’). In the germarium, the germ cell cluster (‘GCC’) is located near to the oocyte (‘OC’). (C) Ovarian development with female age. The ovariole length represents the germarium and vitellarium. Chorionated oocytes were counted per ovary. Each measurement used individual thrips and was replicated 5 times. Ovarian development occurred after adult emergence (Fig 1C). The ovariole length began to extend just after adult emergence and reached a maximal size three days after emergence. Chorionated oocytes were visible after two days in some ovarioles. After three days, all the ovarioles had terminal chorionated oocytes, but some of the ovarioles lost them due to oviposition. This ovarian development pattern allowed us to determine three stages: early at 0 h, mid at 36 h, and late at 60 h after adult emergence.

3.2. Changes in the transcriptomes of female F. occidentalis adults during ovarian development

Total RNA was sequenced at three ovarian developmental stages of F. occidentalis. Each of the nine samples (= 3 stages × 3 replications) was sequenced from 10~13 Gb (Table 1). After trimming, 102~131 million reads in each sample were used to map to the F. occidentalis genome. With 71~82% mapping rates, the reads in each sample were matched to 14,042~14,521 genes among 16,859 predicted F. occidentalis genes. All the nine transcriptomes were deposited to GenBank with accession numbers of PRJNA833754.
Table 1

Sequencing summary of F. occidentalis transcripts at different female ages.

Age1N2Total sequences3 (bp)Trimmed reads4 (bp)Mapping5 (%)Matched genes6
0 h 110,320,812,260102,185,47671.3514,298
211,065,530,710109,558,97880.1614,467
313,142,766,804130,125,49078.4814,521
36 h 113,287,362,040131,557,12879.0314,042
212,494,164,196123,703,70882.5814,154
312,040,868,520126,733,69080.4014,145
60 h 112,800,190,964131,932,26073.8214,266
213,325,257,038126,848,43681.4514,211
312,811,780,916126,848,43673.8814,119

1Age represents the time (h) after adult emergence of females.

2 N represents the number of replications. Each replication used 50 females for RNA extraction.

3Sequenced by the NovaSeq platform (Illumina, San Diego, CA, USA).

4Trimmed by CLC Workbench (QIAgen, Hilden, Germany).

5Mapping to the F. occidentalis genome (GenBank accession number: GCF_000697945.2).

6Total number of annotated genes was 16,859.

1Age represents the time (h) after adult emergence of females. 2 N represents the number of replications. Each replication used 50 females for RNA extraction. 3Sequenced by the NovaSeq platform (Illumina, San Diego, CA, USA). 4Trimmed by CLC Workbench (QIAgen, Hilden, Germany). 5Mapping to the F. occidentalis genome (GenBank accession number: GCF_000697945.2). 6Total number of annotated genes was 16,859. When the transcriptomes of the three developmental stages were compared, they shared more than 95% (= 14,370/15,055) of the transcripts (Fig 2A). Forty-nine unique genes expressed at 36 h AAE were classified according to structure, gene regulation, and cell cycle along with several uncharacterized genes (S2 Table). However, their expression levels were extremely low at 0.0007~0.0468 RPKM. Forty-seven unique genes expressed at 60 h AAE were classified according to structure, protein-processing, and gene regulation along with several uncharacterized genes (S3 Table). Their expression levels were relatively high at 1.0016~1.6941 RPKM. However, this unique gene analysis did not identify genes apparently associated with oogenesis.
Fig 2

DEG analysis of different ages of F. occidentalis females.

The assessment used genes mapped with RNASeq reads (see Table 1). (A) Venn diagram of total transcripts at 0 h, 36 h, and 60 h after emergence. (B) DEG analysis between two different developmental stages. The threshold was > 2-fold changes in RPKM.

DEG analysis of different ages of F. occidentalis females.

The assessment used genes mapped with RNASeq reads (see Table 1). (A) Venn diagram of total transcripts at 0 h, 36 h, and 60 h after emergence. (B) DEG analysis between two different developmental stages. The threshold was > 2-fold changes in RPKM. To identify F. occidentalis genes associated with ovarian development, a differentially expressed gene (DEG) analysis was performed (Fig 2B). At 36 h AAE, 473 transcripts showed more than 2-fold increases in gene expression levels compared to those at 0 h AAE. At 60 h AAE, 443 transcripts showed more than 2-fold increases in gene expression levels compared to those at 0 h AAE. Only 19 transcripts showed changes between 36 h and 60 h AAE. To characterize the DEGs at the mid (36 h AAE) and late (60 h AAE) ovarian developmental stages, their gene functions were predicted using KEGG analysis (Fig 3). Both DEGs were assigned to 52 KEGG functional categories but they did not exactly overlap. The DEGs of each developmental stage were assigned to 49 KEGG categories with three different missing categories. DEGs at 36 h AAE did not include the three categories of #21 (FoxO signaling pathway), #42 (protein export), and #50 (N-glycan biosynthesis), whereas the DEGs at 60 h AAE did not include the three categories of #17 (fatty acid biosynthesis), #30 (lysine degradation), and #39 (pentose and glucuronate interconversion). Among 46 common KEGG categories, most DEGs were classified into the metabolic pathway category (#33) in both developmental stages. The other major (> 10 DEGs) categories, biosynthesis of cofactors (#8) and lysosome (#31), were common in both developmental stages. However, the 36 h AAE samples had more DEGs in the inositol phosphate metabolism category (#28) than the 60 h AAE samples. In contrast, the glycan biosynthesis (#35) and purine metabolism (#44) categories had more DEGs at 60 h AAE than at 36 h AAE. The KEGG analysis suggested the upregulation of metabolic pathways associated with nucleic acid biosynthesis during ovarian development.
Fig 3

KEGG analysis of the DEGs selected from Fig 2B.

The metabolic pathways in the KEGG database were mapped with the DEGs. 36 h AAE represents DEGs between transcripts at 0 h and 36 h after adult emergence and 60 h AAE represents DEGs between transcripts at 0 h and 60 h after adult emergence. KEGG categories include alanine, aspartate and glutamate metabolism (1), amino sugar and nucleotide sugar metabolism (2), apoptosis (3), arachidonic acid metabolism (4), ascorbate and aldarate metabolism (5), autophagy (6), biosynthesis of amino acids (7), biosynthesis of cofactors (8), biosynthesis of nucleotide sugars (9), biosynthesis of unsaturated fatty acids (10), carbon metabolism (11), citrate cycle (12), cysteine and methionine metabolism (13), cytochrome P450 (14), ECM-receptor interaction (15), endocytosis (16), fatty acid biosynthesis (17), fatty acid elongation (18), fatty acid metabolism (19),folate biosynthesis (20), foxO signaling pathway (21), fructose and mannose metabolism (22), glutathione metabolism (23), glycerolipid metabolism (24), glycerophospholipid metabolism (25), glycine, serine and threonine metabolism (26), glycolysis/gluconeogenesis (27), inositol phosphate metabolism (28), longevity regulating pathway (29), lysine degradation (30), lysosome (31), MAPK signaling pathway (32), metabolic pathways (33), mitophagy (34), glycan biosynthesis (35), nicotinate and nicotinamide metabolism (36), nucleotide metabolism (37), oxidative phosphorylation (38), pentose and glucoronate interconversions (39), pentose phosphate pathway (40), phagosome (41), protein export (42), protein processing in endoplasmic reticulum (43), purine metabolism (44), pyruvate metabolism (45), starch and sucrose metabolism (46), steroid biosynthesis (47), thiamine metabolism (48), Toll and Imd signaling pathway (49), various types of N-glycan biosynthesis (50), vitamin B6 metabolism (51), and Wnt signaling pathway (52).

KEGG analysis of the DEGs selected from Fig 2B.

The metabolic pathways in the KEGG database were mapped with the DEGs. 36 h AAE represents DEGs between transcripts at 0 h and 36 h after adult emergence and 60 h AAE represents DEGs between transcripts at 0 h and 60 h after adult emergence. KEGG categories include alanine, aspartate and glutamate metabolism (1), amino sugar and nucleotide sugar metabolism (2), apoptosis (3), arachidonic acid metabolism (4), ascorbate and aldarate metabolism (5), autophagy (6), biosynthesis of amino acids (7), biosynthesis of cofactors (8), biosynthesis of nucleotide sugars (9), biosynthesis of unsaturated fatty acids (10), carbon metabolism (11), citrate cycle (12), cysteine and methionine metabolism (13), cytochrome P450 (14), ECM-receptor interaction (15), endocytosis (16), fatty acid biosynthesis (17), fatty acid elongation (18), fatty acid metabolism (19),folate biosynthesis (20), foxO signaling pathway (21), fructose and mannose metabolism (22), glutathione metabolism (23), glycerolipid metabolism (24), glycerophospholipid metabolism (25), glycine, serine and threonine metabolism (26), glycolysis/gluconeogenesis (27), inositol phosphate metabolism (28), longevity regulating pathway (29), lysine degradation (30), lysosome (31), MAPK signaling pathway (32), metabolic pathways (33), mitophagy (34), glycan biosynthesis (35), nicotinate and nicotinamide metabolism (36), nucleotide metabolism (37), oxidative phosphorylation (38), pentose and glucoronate interconversions (39), pentose phosphate pathway (40), phagosome (41), protein export (42), protein processing in endoplasmic reticulum (43), purine metabolism (44), pyruvate metabolism (45), starch and sucrose metabolism (46), steroid biosynthesis (47), thiamine metabolism (48), Toll and Imd signaling pathway (49), various types of N-glycan biosynthesis (50), vitamin B6 metabolism (51), and Wnt signaling pathway (52).

3.3. Expression profiles of egg proteins during ovarian development

To identify the specific genes associated with oogenesis in F. occidentalis, we selected genes that were highly expressed more than 8-fold at 36 h AAE or 60 h AAE compared to expression levels at 0 h AAE (Table 2). The selected 99 genes were subdivided into structure, protein processing, lipid metabolism, gene regulation, and others. The structural protein category included typical egg proteins such as vitellogenin, chorion protein, mucin, and yellow melanization protein. In contrast, the highly suppressed genes at these stages included 37 genes (S4 Table). Especially, larval cuticular protein genes were included in the suppressed gene category.
Table 2

Highly (> 8-fold) expressed genes at mid (36 h after adult emergence) and late (60 h) ovarian development stages compared to expression levels at the early (0 h) developmental stage in female F. occidentalis adults.

Category (99)NCBI Gene IDGenBank accessionAnnotation36 h60 h
RPKMLog2 FcRPKMLog2 Fc
Structure (18) LOC113214498XM_026433864.1vitellogenin2.694.132.583.77
LOC113214411XM_026433762.1vitellogenin-22.604.442.584.38
LOC113202497XM_026416747.1vitellogenin-12.603.352.643.51
LOC113204471XM_026419639.1vitellogenin-12.754.052.734.01
LOC113212925XM_026431801.1vitellogenin-11.683.711.633.54
LOC113205436XM_026421068.1flocculation protein1.213.421.072.94
LOC113214189XM_026433479.1endoglucanase-50.952.531.173.27
LOC113211573XM_026429977.1chorion class A protein2.705.122.564.67
LOC113202531XM_026416797.1myosin heavy chain1.704.051.543.50
LOC113213533XM_026432640.1mucin-5AC1.874.251.824.06
LOC113217829XM_026437896.1filaggrin1.043.330.953.01
LOC113206591XM_026422740.1filaggrin-21.193.021.152.89
LOC113217875XM_026437953.1keratin-associated protein1.674.551.584.27
LOC113217915XM_026438006.1keratin-associated protein1.644.841.564.56
LOC113218104XM_026438307.1protein yellow2.705.292.625.00
LOC113206471XM_026422568.1nacrein2.343.942.414.18
LOC113214093XM_026433360.1sperm acrosome-associated protein 52.365.652.506.12
LOC113217267XM_026437086.1venom allergen1.965.172.025.39
Protein processing (23) LOC113216008XM_026435682.1transmembrane protein2.165.402.055.03
LOC113214127XM_026433402.1PE-PGRS family protein2.083.501.832.67
LOC113209730XM_026427399.1trypsin1.693.731.392.72
LOC113204180XM_026419243.1trypsin1.953.661.773.07
LOC113203267XM_026417851.1cathepsin L13.283.013.172.66
LOC113205904XM_026421697.1cathepsin L11.572.811.713.28
LOC113212259XM_026430877.1carboxypeptidase B1.083.161.043.03
LOC113202896XM_026417339.1transmembrane protease serine 91.753.261.532.54
LOC113206464XM_026422562.1transmembrane protease serine 91.974.451.894.20
LOC113214490XM_026433856.1probable pectin lyase D1.934.932.095.45
LOC113207878XM_026424617.1probable pectin lyase B2.133.872.023.50
LOC113216785XM_026436611.1probable pectin lyase B2.935.593.116.17
LOC113216787XM_026436612.1probable pectin lyase B1.934.761.994.95
LOC113211651XM_026430098.1pectin lyase1.273.111.112.57
LOC113203564XM_026418330.1pectin lyase1.162.791.243.05
LOC113215606XM_026435246.1lysozyme C milk isozyme1.283.611.434.11
LOC113217852XM_026437921.1polyhomeotic-proximal chromatin protein1.303.461.193.09
LOC113208437XM_026425417.1transcriptional regulatory protein AlgP2.033.322.193.85
LOC113217886XM_026437969.1cyclin-dependent kinase inhibitor1.384.241.414.36
LOC113210725XM_026428834.1PE-PGRS family protein2.423.862.142.93
LOC113212288XM_026430917.1protein rtoA0.802.051.243.52
LOC113207332XM_026423852.1hornerin1.963.141.983.21
LOC113206614XM_026422771.1hornerin2.123.842.103.75
Lipid metabolism (6) LOC113208001XM_026424805.1clavesin-11.313.631.173.15
LOC113213966XM_026433193.1pancreatic triacylglycerol lipase1.333.171.333.16
LOC113215706XM_026435368.1low-density lipoprotein receptor1.203.381.062.94
LOC113214129XM_026433404.1lipase member K1.023.031.053.14
LOC113202163XM_026416266.1acyl-CoA Delta (11) desaturase1.803.821.452.66
LOC113202156XM_026416257.1phospholipase A11.733.001.602.58
Gene regulation (3) LOC113211421XM_026429785.1serine-rich adhesin for platelets1.444.151.414.06
LOC113217849XM_026437920.1serine-rich adhesin for platelets1.584.981.504.73
LOC113210704XM_026428809.1regucalcin1.503.581.483.51
Others (49) LOC113204174XM_026419235.1histidine-rich glycoprotein2.054.911.864.27
LOC113216845XM_026436674.1histidine-rich glycoprotein3.024.162.984.04
LOC113217182XM_026437013.1non-classical arabinogalactan protein1.113.550.973.06
LOC113202260XM_026416395.1neurofilament medium polypeptide1.584.191.423.65
LOC113202298XM_026416451.1proline-rich protein 22.103.762.033.55
LOC113217885XM_026437968.1uncharacterized2.534.892.454.62
LOC113217883XM_026437966.1uncharacterized1.334.331.254.07
LOC113217830XM_026437897.1uncharacterized1.534.331.494.18
LOC113217828XM_026437895.1uncharacterized1.083.320.972.97
LOC113217577XM_026437533.1uncharacterized1.604.621.935.71
LOC113217326XM_026437181.1uncharacterized1.673.661.693.74
LOC113216895XM_026436728.1uncharacterized1.132.471.303.02
LOC113216056XM_026435756.1uncharacterized2.674.352.694.42
LOC113216047XM_026435745.1uncharacterized1.473.391.212.53
LOC113214206XM_026433496.1uncharacterized1.983.531.923.32
LOC113213753XM_026432913.1uncharacterized1.793.621.663.21
LOC113212826XM_026431653.1uncharacterized1.704.111.533.56
LOC113212825XM_026431652.1uncharacterized1.503.681.343.15
LOC113212293XM_026430924.1uncharacterized0.681.851.073.14
LOC113212290XM_026430919.1uncharacterized0.872.521.283.89
LOC113212282XM_026430908.1uncharacterized2.633.062.602.98
LOC113211882XM_026430401.1uncharacterized1.774.331.583.72
LOC113211714XM_026430181.1uncharacterized2.374.682.314.48
LOC113211400XM_026429765.1uncharacterized1.544.461.935.75
LOC113211399XM_026429764.1uncharacterized1.693.722.004.74
LOC113211078XM_026429332.1uncharacterized2.194.852.244.99
LOC113210730XM_026428840.1uncharacterized1.993.311.852.87
LOC113210583XM_026428652.1uncharacterized1.743.001.702.86
LOC113210342XM_026428298.1uncharacterized1.794.371.974.99
LOC113208836XM_026426044.1uncharacterized1.394.261.293.93
LOC113208574XM_026425626.1uncharacterized1.323.161.283.04
LOC113208471XM_026425481.1uncharacterized1.623.411.543.13
LOC113208012XM_026424840.1uncharacterized2.213.981.923.01
LOC113206973XM_026423287.1uncharacterized2.183.501.902.57
LOC113206617XM_026422774.1uncharacterized1.493.411.282.70
LOC113205710XM_026421427.1uncharacterized2.215.772.326.12
LOC113205709XM_026421426.1uncharacterized2.135.752.236.09
LOC113205708XM_026421425.1uncharacterized2.565.692.736.24
LOC113205435XM_026421067.1uncharacterized1.493.431.282.72
LOC113205325XM_026420899.1uncharacterized2.304.792.294.77
LOC113205123XM_026420596.1uncharacterized1.293.620.842.11
LOC113204714XM_026419980.1uncharacterized1.793.521.673.14
LOC113204504XM_026419693.1uncharacterized1.433.321.453.39
LOC113204057XM_026419056.1uncharacterized2.053.552.033.51
LOC113203620XM_026418390.1uncharacterized1.574.421.885.46
LOC113203560XM_026418318.1uncharacterized1.523.651.523.66
LOC113203559XM_026418317.1uncharacterized1.333.181.252.89
LOC113203548XM_026418307.1uncharacterized2.254.832.294.96
LOC113202588XM_026416887.1uncharacterized2.394.902.254.43
The expression patterns of representative egg proteins during adult development were further analyzed (Fig 4). As expected, RNASeq analysis found that vitellogenin, chorion protein, mucin, and yellow genes were highly expressed in the mid and late ovarian developmental stages (Fig 4A). However, there was little or no difference in the expression levels between the two developmental stages (36 h AAE and 60 h AAE). These transcript level profiles were further assessed by RT-qPCR with additional development stages (Fig 4B). The expression levels measured by RT-qPCR were mostly consistent with the expression profiles measured by RNASeq. However, RT-qPCR analysis indicated that the mucin and yellow genes were induced earlier than 36 h AAE. It also showed their expression patterns in late ovarian development after 60 h AAE, in which vitellogenin and mucin maintained the induced levels, whereas the expression levels of chorion protein and yellow significantly decreased.
Fig 4

Expression analysis of the selected egg proteins during F. occidentalis ovarian development.

The NCBI Gene ID is in each parenthesis. (A) RNASeq analysis. (B) RT-qPCR analysis. Each measurement was replicated 3 times. The figures in parentheses indicate LOCs, which are the NCBI gene IDs. Different letters above the standard deviation bars represent significant differences among the means at type I error = 0.05 (DMRT test)].

Expression analysis of the selected egg proteins during F. occidentalis ovarian development.

The NCBI Gene ID is in each parenthesis. (A) RNASeq analysis. (B) RT-qPCR analysis. Each measurement was replicated 3 times. The figures in parentheses indicate LOCs, which are the NCBI gene IDs. Different letters above the standard deviation bars represent significant differences among the means at type I error = 0.05 (DMRT test)].

3.4. Expression profiles of genes associated with endocrine signals during ovarian development

Juvenile hormone (JH), ecdysteroid, and insulin-like peptide (ILP) are well-known endocrine mediators during insect reproduction [12]. Genes associated with these endocrine signals were selected from the transcriptomes (Table 3). JH acid methyltransferase (JHAMT), JH esterase/JH epoxide hydrolase, and Met involved in JH synthesis, JH degradation, and the JH receptor, respectively, were identified. The RNASeq analysis showed that JHAMT was highly upregulated at 36 h AAE, whereas Met expression levels did not change during adult development (Fig 5A). As ecdysteroid signaling genes, Shade and EcR were found in the adult transcriptomes. The expression levels of Shade were upregulated at mid and late ovarian development, during which EcR expression was slightly decreased. Insulin-like peptides and receptors were included in the adult transcriptomes. ILP was highly upregulated at 36 h AAE, whereas InR expression levels decreased during adult development. The transcriptome profiles related to endocrine signals were further supported by RT-qPCR analysis (Fig 5B). The RT-qPCR analysis assessed at several time points after adult emergence showed the upregulation of these endocrine signals during ovarian development. Especially, JH and insulin signals were more upregulated at 36 h AAE than at 60 h AAE, whereas the ecdysteroid signal was more upregulated at the late developmental stage.
Table 3

DEGs associated with endocrine signals in female F. occidentalis at mid (36 h after adult emergence) and late ovarian development stages compared to the early (0 h) stage.

CategoryNCBI Gene IDGenBank AccessionAnnotation36 h60 h
RPKMLog2FcRPKMLog2Fc
Juvenile hromone (JH) LOC113205672XM_026421382.1JH esterase2.780.112.08-0.31
LOC113206119XM_026422046.1JH epoxide hydrolase48.442.3237.151.94
LOC113206791XM_026423048.1JH esterase6.751.665.041.24
LOC113207106XM_026423497.1JH esterase0.61-1.740.48-2.09
LOC113207121XM_026423514.1JH esterase0.17-0.380.11-1.06
LOC113208804XM_026425987.1JH esterase0.92-1.161.17-0.81
LOC113209084XM_026426427.1JH esterase0.771.180.590.81
LOC113211838XM_026430351.1JH esterase8.024.278.174.30
LOC113215323XM_026434935.1JH-suppressible protein0.72-3.370.23-5.01
LOC113202122XM_026416212.1JH esterase3.67-0.283.48-0.36
LOC113202626XM_026416948.1JH acid methyltransferase1.170.610.57-0.43
LOC113202308XM_026416465.1JH esterase0.95-0.300.77-0.60
LOC113217970XM_026416465.2Methoprene tolerance2.990.102.60-0.10
Ecdysteroid LOC113205624XM_026421313.1Shade3.320.512.960.35
LOC113207454XM_026424033.1ecdysone receptor0.21-1.800.18-2.04
LOC113211564XM_026429966.1ecdysone receptor29.17-0.1123.39-0.42
LOC113211835XM_026430346.1zinc finger protein on ecdysone4.310.224.090.14
LOC113211939XM_026430486.1ecdysone-induced protein0.77-1.430.42-2.33
LOC113214771XM_026434236.1protein ecdysoneless6.680.236.470.18
LOC113216508XM_026436255.1protein ecdysoneless1.640.021.640.02
LOC113216945XM_026436781.1ecdysone-induced protein 74EF1.72-1.371.74-1.35
Insulin LOC113202214XM_026416323.1IGF1 receptor0.10-1.140.10-1.17
LOC113206117XM_026422043.1insulin-like receptor5.22-0.274.67-0.43
LOC113207224XM_026423730.1insulin-like peptide4.671.252.360.27
LOC113209425XM_026426931.1IGF2-BP17.360.5013.700.16
LOC113210134XM_026427972.1insulin-degrading enzyme8.920.038.04-0.12
LOC113211136XM_026429429.1IGF-BP complex acid labile subunit68.210.3148.47-0.19
LOC113211621XM_026430058.1IGF-BP complex acid labile subunit2.530.471.850.02
LOC113211864XM_026430384.1IGF-BP complex acid labile subunit9.49-0.576.76-1.06
LOC113212596XM_026431366.1IGF-BP complex acid labile subunit2.06-0.491.56-0.89
LOC113212620XM_026431414.1IGF-BP complex acid labile subunit0.69-0.700.49-1.21
LOC113215479XM_026435105.1IGF-BP70.09-0.750.06-1.34
Fig 5

Expression analysis of the selected endocrine signal genes during F. occidentalis ovarian development.

The NCBI Gene ID is in each parenthesis. (A) RNASeq analysis. (B) RT-qPCR analysis. Each measurement was replicated 3 times. The figures in parentheses indicate LOCs, which are the NCBI gene IDs. Different letters above the standard deviation bars represent significant differences among the means at type I error = 0.05 (DMRT test).

Expression analysis of the selected endocrine signal genes during F. occidentalis ovarian development.

The NCBI Gene ID is in each parenthesis. (A) RNASeq analysis. (B) RT-qPCR analysis. Each measurement was replicated 3 times. The figures in parentheses indicate LOCs, which are the NCBI gene IDs. Different letters above the standard deviation bars represent significant differences among the means at type I error = 0.05 (DMRT test).

4. Discussion

Various reproductive modes are observed in Thysanoptera. In F. occidentalis, a female produces progeny in bisexual or asexual arrhenotokous reproduction [13]. In arrhenotokous reproduction in the situation of few males (e.g., overwintering population), virgin females produce only male offspring [6]. When their sons are sexually mature, the females undergo bisexual reproduction with their sons and produce female-biased offspring. All thrips including F. occidentalis exhibit oviparous reproduction, in which females in either the asexual or bisexual mode undergo oogenesis in their ovaries. However, little is known about ovarian development in F. occidentalis. The current study analyzed the internal reproductive organ structure of F. occidentalis to assess the developing oocytes. Based on the temporal developmental pattern, RNASeq analysis was performed at early, mid, and late stages to determine the specific genes associated with ovarian development. The ovaries and associated internal reproductive organs of F. occidentalis were observed. Eight ovarioles from a pair of ovaries contained follicles, the end of which contained chorionated oocytes. Each follicle was composed of oocytes and follicular epithelium. The distal germarium contained a germ cell cluster, presumably consisting of interconnected nurse cells and oocytes. The ovarioles of insects are categorized into panoistic and meroistic types, in which the latter type is subdivided into polytrophic and telotrophic groups [14]. The panoistic type is considered to be the most ancestral because of its deficiency in transforming oogonia into nurse cells [15]. The polytrophic meroistic ovary has evolved from the panoistic ovary through the differentiation of nurse cells, and finally, the telotrophic meroistic type is derived from the polytrophic meroistic type by the restriction of nurse cells to the germarium. A deviation from the typical ovariole types is observed in Thysanoptera, in which the germ cell cluster is formed as seen in the ovary of the terebrantian thrip, Purthenothrips drucenae [16], suggesting that the panoistic follicles resulted from the secondary loss of nurse cells from the germ cell cluster. Stys et al. [14] called this type of ovary “neo-panoistic.” Thus, the thysanopteran ovary provided new insight into the evolution of insect ovaries. Later, tubuliferan thrips also showed germ cell clusters, indicating that the neo-panoistic ovariole-type prevailed in Thysanoptera [17]. This was supported by our current study using F. occidentalis ovarioles, which did not have nurse cells in the follicles, while a germ cell cluster was found in the germarium. The ovaries of F. occidentalis grew just after adult emergence. During this period, the ovariole size increased along with oocyte development, and the final follicles in each ovariole had chorionated oocytes. Oogenesis is a sequential process consisting of previtellogenic development, vitellogenesis, and choriogenesis [18]. Previtellogenic development occurs in the germarium at the distal part of each ovariole and forms oocytes from the oogonial stem cells by mitosis and meiosis. Vitellogenesis is the process of accumulating vitellogenin (Vg) and other biomaterials into growing oocytes. After oocytes are fully grown, they are coated with chorion proteins secreted from the follicular epithelium to become eggs at the proximal part of the ovarioles. These eggs are then ovulated to the oviducts and fertilized just before oviposition. This ovarian developmental scenario suggests a sequence of oogenesis events in the neo-panoistic ovariole of F. occidentalis. First, primary oocytes may be produced from germ cell clusters in the germarium. Second, the oocytes grow in size by accumulating Vg during vitellogenesis. Finally, the follicular epithelium forms the chorion of the fully grown oocytes during choriogenesis. Our transcriptome analysis supported the oogenesis processes by providing expression profiles of Vg, chorion proteins, mucin, and yellow genes during oogenesis. RNASeq analysis used the NovaSeq platform, which sequenced more than 100 million reads per sample and resulted in more than 80% gene mapping rates. The first draft genome of F. occidentalis was reported and 16,859 genes were annotated [8]. Our RNASeq data from three ovarian developmental stages were mapped to 15,083 genes. Most of the mapped genes were shared among the three ovarian developmental stages. DEG analysis identified 473 and 443 DEGs in the mid and late stages, respectively. These DEGs were associated with metabolic pathways, especially related to nucleic acid biosynthesis and cofactor and amino acid biosynthetic pathways. The findings suggest that ovarian development in F. occidentalis requires a massive supply of raw materials such as nucleic acids and proteins. Egg proteins were selected from the transcriptomes of the ovarian developmental stages. These genes represented highly expressed genes because they were increased more than 8-fold compared to the early ovarian developmental stage. The genes included mucin and yellow in addition to the well-known Vg and chorion protein genes. Mucins are high molecular and heavily glycosylated proteins with tandem repeats of identical or highly similar sequences rich in Ser, Thr, and Pro [19]. In insects, intestinal mucin is a major protein in the midgut peritrophic membrane, which facilitates the digestive process as well as protects the gut epithelium from microbial infections [20]. Salivary gland mucin might modulate the lubrication of insect mouthparts or defend plant attachment by inducing plant cell death through the formation of salivary sheaths [21, 22]. A specific mucin protein is known to be associated with the formation of eggshells in Nilaparvapa lugens and Spodoptera exigua [23, 24]. In our current study, the mucin gene highly expressed during F. occidentalis ovarian development suggests its function in chorion formation. Yellow and related major royal jelly protein (MRJP)-like proteins are widely found in insect genomes and these genes are classified into ten clades including Yellow-b, -c, -d/e3, -e, -f, -g/g2, -h, -y, -x and MRJP-like protein [25]. In the Aedes albopictus mosquito, Yellow-g and Yellow-g2 are localized in the exochorion and outer endochorion, where they mediate darkening processes to physically strengthen the chorions [26]. Thus, the high expression of the yellow gene during F. occidentalis ovarian development suggests its function in chorion formation. Transcriptome analysis also showed the expression profiles of genes associated with endocrine signals during F. occidentalis ovarian development. In insects, different endocrine signals are associated with ovarian development. JH is a sesquiterpenoid that mediates a status quo effect during the immature stage to prevent precocious metamorphosis. However, in adults, it stimulates ovarian development as a gonadotropin in various insects [27]. JH directly stimulates Vg biosynthesis in some insects and facilitates Vg uptake by growing oocytes by inducing follicular patency [28]. In mosquito females, 20-hydroxyecdysone acts as a gonadotropin [29]. ILPs are known to mediate ovarian development by stimulating oogonial proliferation to produce oocytes in the stem cell niche located in the germarium of the distal ovariole [30]. In F. occidentalis, JH and ecdysteroid play crucial roles in mediating metamorphosis. Krüppel homolog 1 (Kr-h1) and Broad (Br) are transcription factors leading to larval and pupal characteristics under JH and ecdysteroid hormones, respectively [31, 32]. In F. occidentalis, Kr-h1 mRNA levels were high in the embryonic stage, remained at a moderate level in the larval and prepupal stages, and were low in the pupal stage. In contrast, Br mRNA levels were moderate in the embryonic stage and high at the larva-pupa transition stage. Except for Br expression in the embryonic stage, these two gene expression patterns followed the corresponding profiles of holometamorphic insects [33]. Furthermore, the adult specifier, E93, expression increased during immature development and its inhibition prevented adult metamorphosis [34]. However, little is known about JH and ecdysteroid mediation in oogenesis in F. occidentalis. Our current transcriptome analysis during ovarian development suggests that these endocrine signals play crucial roles in mediating F. occidentalis oogenesis based on their expression profiles. Increases in ILP and JHAMT expression at the mid ovarian developmental stage suggest their mediation of previtellogenesis by providing new oocytes from stem cells and vitellogenesis by stimulating Vg synthesis and uptake. Maintaining high levels of Shade expression suggest a high level of ecdysteroid during ovarian development, which may stimulate metabolic pathways, especially protein and nucleic acid biosynthesis, in addition to stimulating Vg synthesis with the cooperation of JH. This study reports the comparative transcriptomes of F. occidentalis during different stages of ovarian development. Although the transcriptome analyses do not completely represent the protein expression profiles, they gave us valuable insights on the thrips reproduction. The results suggest an increase in metabolic pathways along with protein and nucleic acid biosynthesis. The high upregulation of egg proteins such as Vg, chorion protein, and sclerotizing agents during choriogenesis was also found. Finally, JH, ecdysteroid, and insulin signals may play crucial roles in mediating F. occidentalis oogenesis. A recent study showed that prostaglandin mediates oocyte devilment in early and late stages in addition to the endocrine signals [35]. This suggests the oogenesis of F. occidentalis would be a model system for an integrative analysis of endocrine signals mediating different reproductive processes of previtellogenesis, vitellogenesis, and choriogenesis.

Primers used in this study.

(DOCX) Click here for additional data file.

Annotation of 53 genes expressed only at 36 h after adult emergence (AAE) compared to expression levels at the early (0 h AAE) developmental stage in female F. occidentalis adults.

(DOCX) Click here for additional data file.

Annotation of 68 genes expressed only at 60 h after adult emergence (AAE) compared to expression levels at the early (0 h AAE) developmental stage in female F. occidentalis adults.

(DOCX) Click here for additional data file.

Highly (> 8-fold) suppressed genes at mid (36 h after adult emergence) and late (60 h after adult emergence) ovarian development stages compared to expression levels in the early (0 h after adult emergence) developmental stage in female F. occidentalis adults.

(DOCX) Click here for additional data file. 30 Jun 2022
PONE-D-22-15697
Transcriptome analysis of female western flower thrips, Frankliniella occidentalis, exhibiting neo-panoistic ovarian development
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You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Reviewer’s comment Title: Transcriptome analysis of female western flower thrips, Frankliniella occidentalis, exhibiting neo-panoistic ovarian development. In this study, the authors Choi and Kim have done transcriptome analysis of pest western flower thrips Frankliniella occidentalis at mid (36 h after adult emergence (AAE)) and late (60 h AAE) ovarian developmental stages using RNA sequencing (RNASeq) technology. More than 120 million reads per replication were matched to » 15,000 F. occidentalis genes. Almost 500 genes were expressed at each mid and late ovarian developmental stage. Differentially expressed genes (DEGs) were associated with metabolic pathways and protein and nucleic acid biosynthesis. In both ovarian developmental stages, vitellogenin, mucin, and chorion genes were highly (> 8-fold) expressed. Endocrine signals associated with ovarian development were further investigated from the DEGs. Insulin and juvenile hormone signals were upregulated only at 36 h AAE, whereas the ecdysteroid signal was highly maintained at 60 h AAE. The thrip is the primary vector for a few plant viruses such as tomato spotted wilt virus (TSWV) and impatiens necrotic spot virus (INSV). The study is interesting and vital as the thrips can destroy many crops worldwide by feeding on them and by spreading the plant viruses. There are few reports on the transcriptomic analysis of the thrips during virus infection, but that of on reproduction of F. occidentalis is rare in the literature. However, the discussion part is important here. The RNA/gene expression results are straight forward but how these differentially expressed genes contribute to a faster reproduction rate needs to be discussed in detail. Here are few suggestions which might improve the value of the manuscript. 1. Discussion: How these results help in the control of the pest directly or indirectly needs to be explained. What is the significance of expressed genes? The authors may consider including literature support on this aspect. 2. Resolution of figures 3, 4 and 5 to be improved. 3. Line 98-99: Mention that the total RNA extracted was from the whole thrips. 4. As this article is on the reproduction of thrips and hence, more detail related to reproduction can be included in the introduction. How fast the pest can develop into an adult (Moritz et al. 2004. Virus Res., 100 pp. 143-149), etc. 5. The transcriptomics results need not necessarily correlate to protein expression (PMID: 26085669). Authors may consider including it in the discussion. Reviewer #2: The article by Choi et al. summarizes ovarian development and associated transcriptomes of F. occidentalis at various stages of oocyte development (0 h AAE, 36 h AAE, and late 60 h AAE) and compares the differentially expressed genes. The study is technically well performed and described in the manuscript, yet there are some concerns that should be addressed before it can be reconsidered for publication. 1. Why do authors choose to perform RNA extraction from whole female adult F. occidentalis instead of just from the ovarioles? 2. In Figure 1, the authors have only shown one stage (3-day-old female adults) of ovariole structure. Since the authors are focusing on all three stages ( 0h, 36 h, and 60 h AAE) and are also measuring the ovariole length, it is important to show all stages of ovariole development. 3. For Figure 2B, it might be better to include volcano plots with differentially expressed genes pattern (36 vs 0, 60 vs 0, 36 vs 60) and top candidate gene names to guide readers to follow the changes in gene expression. 4. In Figure 3, it is difficult to follow the entire stretch of the graph. Importantly, the labels are not clearly legible. Authors can show only the pathways that are up or down-regulated between 60 vs 36 instead of showing the number of genes. 5. Figures 4 & 5: Authors may consider merging these two figures into one figure. Also, is there a particular reason for including RPKM values on the main figure? ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? 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Submitted filename: Reviewers comment-PONE-D-22-15697.docx Click here for additional data file. Submitted filename: Choi et al., 2022_.docx Click here for additional data file. 3 Jul 2022 [Reviewer #1] In this study, the authors Choi and Kim have done transcriptome analysis of pest western flower thrips Frankliniella occidentalis at mid (36 h after adult emergence (AAE)) and late (60 h AAE) ovarian developmental stages using RNA sequencing (RNASeq) technology. More than 120 million reads per replication were matched to » 15,000 F. occidentalis genes. Almost 500 genes were expressed at each mid and late ovarian developmental stage. Differentially expressed genes (DEGs) were associated with metabolic pathways and protein and nucleic acid biosynthesis. In both ovarian developmental stages, vitellogenin, mucin, and chorion genes were highly (> 8-fold) expressed. Endocrine signals associated with ovarian development were further investigated from the DEGs. Insulin and juvenile hormone signals were upregulated only at 36 h AAE, whereas the ecdysteroid signal was highly maintained at 60 h AAE. The thrip is the primary vector for a few plant viruses such as tomato spotted wilt virus (TSWV) and impatiens necrotic spot virus (INSV). The study is interesting and vital as the thrips can destroy many crops worldwide by feeding on them and by spreading the plant viruses. There are few reports on the transcriptomic analysis of the thrips during virus infection, but that of on reproduction of F. occidentalis is rare in the literature. However, the discussion part is important here. The RNA/gene expression results are straight forward but how these differentially expressed genes contribute to a faster reproduction rate needs to be discussed in detail. Here are few suggestions which might improve the value of the manuscript. Comment #1-1: Discussion: How these results help in the control of the pest directly or indirectly needs to be explained. What is the significance of expressed genes? The authors may consider including literature support on this aspect. Response: A main issue of this study was to understand molecular processes underlying oogenesis of the thrips. Thus the appropriate discussion related with this issue is added by providing a usefulness of the results with an additional reference as follows: “A recent study showed that prostaglandin mediates oocyte devilment in early and late stages in addition to the endocrine signals [35]. This suggests the oogenesis of F. occidentalis would be a model system for an integrative analysis of endocrine signals mediating different reproductive processes of previtellogenesis, vitellogenesis, and choriogenesis.” Comment #1-2: Resolution of figures 3, 4 and 5 to be improved. Response: These figures are redrawn to improve resolution and replaced. Comment #1-3: Line 98-99: Mention that the total RNA extracted was from the whole thrips. Response: Added and rephrased as follows: “Total RNAs were extracted from the whole bodies of female F. occidentalis at different ages (0, 36, and 60 h after adult emergence).” Comment #1-4: As this article is on the reproduction of thrips and hence, more detail related to reproduction can be included in the introduction. How fast the pest can develop into an adult (Moritz et al. 2004. Virus Res., 100 pp. 143-149), etc. Response: We add the following characters related with the serious issue on reproduction and outbreak: “A brief immature period less than 10 days along with this various reproductive modes allow the thrips to rapidly build up the field populations during crop cultivating periods and so frequently leads to outbreaks beyond economic injury level [6].” Comment #1-5: The transcriptomics results need not necessarily correlate to protein expression (PMID: 26085669). Authors may consider including it in the discussion. Response: We agree on this comment. We add the following statement in the discussion: “Although the transcriptome analyses do not completely represent the protein expression profiles, they gave us valuable insights on the thrips reproduction.” [Reviewer #2] The article by Choi et al. summarizes ovarian development and associated transcriptomes of F. occidentalis at various stages of oocyte development (0 h AAE, 36 h AAE, and late 60 h AAE) and compares the differentially expressed genes. The study is technically well performed and described in the manuscript, yet there are some concerns that should be addressed before it can be reconsidered for publication. Comment #2-1: Why do authors choose to perform RNA extraction from whole female adult F. occidentalis instead of just from the ovarioles? Response: We understand the issue raised by the reviewer. The best option was to use the isolate ovary samples. However, whole body samples give additional information probably from transcriptomes of fat body and hemolymph, which are the tissues associated with the reproduction. To be clear, we added “the whole body isolation” in the materials and methods. Comment #2-2: In Figure 1, the authors have only shown one stage (3-day-old female adults) of ovariole structure. Since the authors are focusing on all three stages ( 0h, 36 h, and 60 h AAE) and are also measuring the ovariole length, it is important to show all stages of ovariole development. Response: We agree on the issue raised by the reviewer. Thus, we showed the ovarian development from 0 day to 7 days after adult emergence in Fig. 1B. The photo demonstrates the entire ovary structure of this species. Comment #2-3: For Figure 2B, it might be better to include volcano plots with differentially expressed genes pattern (36 vs 0, 60 vs 0, 36 vs 60) and top candidate gene names to guide readers to follow the changes in gene expression. Response: Main points are the specific genes at different reproductive stages. Supplementary Tables separately indicate the genes specific to each development: Table S2. Annotation of 53 genes expressed only at 36 h after adult emergence (AAE) compared to expression levels at the early (0 h AAE) developmental stage in female F. occidentalis adults Table S3. Annotation of 68 genes expressed only at 60 h after adult emergence (AAE) compared to expression levels at the early (0 h AAE) developmental stage in female F. occidentalis adults Table S4. Highly ( > 8-fold) suppressed genes at mid (36 h after adult emergence) and late (60 h after adult emergence) ovarian development stages compared to expression levels in the early (0 h after adult emergence) developmental stage in female F. occidentalis adults Comment #2-4: In Figure 3, it is difficult to follow the entire stretch of the graph. Importantly, the labels are not clearly legible. Authors can show only the pathways that are up or down-regulated between 60 vs 36 instead of showing the number of genes. Response: We separate the figure by moving the each KEGG category to figure caption. Comment #2-5: Figures 4 & 5: Authors may consider merging these two figures into one figure. Also, is there a particular reason for including RPKM values on the main figure? Response: These two figures explain the different aspects of the oogenesis. Fig. 4 indicates specific egg proteins and their expression profiles. Fig. 5 indicates the underlying endocrine signals. RPKM values along with detailed RT-qPCR support the validation of the RNASeq. Submitted filename: Response to Reviewers Comments.docx Click here for additional data file. 20 Jul 2022 Transcriptome analysis of female western flower thrips, Frankliniella occidentalis, exhibiting neo-panoistic ovarian development PONE-D-22-15697R1 Dear Dr. Kim, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: (No Response) Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Partly Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: I Don't Know Reviewer #2: N/A ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: No Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The author's responses are satisfactory. However I could not locate the revised figures. Not sure if there is any technical error? Reviewer #2: (No Response) ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No ********** 22 Jul 2022 PONE-D-22-15697R1 Transcriptome analysis of female western flower thrips, Frankliniella occidentalis, exhibiting neo-panoistic ovarian development Dear Dr. Kim: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Rajakumar Anbazhagan Academic Editor PLOS ONE
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Journal:  Mol Biol Evol       Date:  2010-07-23       Impact factor: 16.240

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Authors:  Stephen A Bustin; Vladimir Benes; Jeremy A Garson; Jan Hellemans; Jim Huggett; Mikael Kubista; Reinhold Mueller; Tania Nolan; Michael W Pfaffl; Gregory L Shipley; Jo Vandesompele; Carl T Wittwer
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Authors:  Xinxin Shangguan; Jing Zhang; Bingfang Liu; Yan Zhao; Huiying Wang; Zhizheng Wang; Jianping Guo; Weiwei Rao; Shengli Jing; Wei Guan; Yinhua Ma; Yan Wu; Liang Hu; Rongzhi Chen; Bo Du; Lili Zhu; Dazhao Yu; Guangcun He
Journal:  Plant Physiol       Date:  2017-11-13       Impact factor: 8.340

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Journal:  Arch Insect Biochem Physiol       Date:  2020-10-10       Impact factor: 1.698

6.  Yellow-g and Yellow-g2 proteins are required for egg desiccation resistance and temporal pigmentation in the Asian tiger mosquito, Aedes albopictus.

Authors:  Mi Young Noh; Sung Hyun Kim; Maureen J Gorman; Karl J Kramer; Subbaratnam Muthukrishnan; Yasuyuki Arakane
Journal:  Insect Biochem Mol Biol       Date:  2020-04-18       Impact factor: 4.714

7.  Broad-Complex acts downstream of Met in juvenile hormone signaling to coordinate primitive holometabolan metamorphosis.

Authors:  Barbora Konopova; Marek Jindra
Journal:  Development       Date:  2008-01-02       Impact factor: 6.868

8.  Nutritional Control of Insect Reproduction.

Authors:  Vlastimil Smykal; Alexander S Raikhel
Journal:  Curr Opin Insect Sci       Date:  2015-10-01       Impact factor: 5.186

9.  Krüppel homolog 1, an early juvenile hormone-response gene downstream of Methoprene-tolerant, mediates its anti-metamorphic action in the red flour beetle Tribolium castaneum.

Authors:  Chieka Minakuchi; Toshiki Namiki; Tetsuro Shinoda
Journal:  Dev Biol       Date:  2008-10-25       Impact factor: 3.582

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Authors:  Yi-Han Lou; Yan Shen; Dan-Ting Li; Hai-Jian Huang; Jia-Bao Lu; Chuan-Xi Zhang
Journal:  Front Physiol       Date:  2019-05-15       Impact factor: 4.566

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