Literature DB >> 25995975

Modified CTAB and TRIzol protocols improve RNA extraction from chemically complex Embryophyta.

Ingrid E Jordon-Thaden1, Andre S Chanderbali2, Matthew A Gitzendanner2, Douglas E Soltis3.   

Abstract

PREMISE OF THE STUDY: Here we present a series of protocols for RNA extraction across a diverse array of plants; we focus on woody, aromatic, aquatic, and other chemically complex taxa. METHODS AND
RESULTS: Ninety-one taxa were subjected to RNA extraction with three methods presented here: (1) TRIzol/TURBO DNA-free kits using the manufacturer's protocol with the addition of sarkosyl; (2) a combination method using cetyltrimethylammonium bromide (CTAB) and TRIzol/sarkosyl/TURBO DNA-free; and (3) a combination of CTAB and QIAGEN RNeasy Plant Mini Kit. Bench-ready protocols are given.
CONCLUSIONS: After an iterative process of working with chemically complex taxa, we conclude that the use of TRIzol supplemented with sarkosyl and the TURBO DNA-free kit is an effective, efficient, and robust method for obtaining RNA from 100 mg of leaf tissue of land plant species (Embryophyta) examined. Our protocols can be used to provide RNA of suitable stability, quantity, and quality for transcriptome sequencing.

Entities:  

Keywords:  RNA; aquatic plants; aromatic plants; extraction methods; transcriptome; woody plants

Year:  2015        PMID: 25995975      PMCID: PMC4435465          DOI: 10.3732/apps.1400105

Source DB:  PubMed          Journal:  Appl Plant Sci        ISSN: 2168-0450            Impact factor:   1.936


Next-generation sequencing (NGS) offers numerous research opportunities to the plant systematics and evolutionary biology communities (e.g., Godden et al., 2012; Strickler et al., 2012; Soltis et al., 2013). To apply NGS to whole transcriptome sequencing, high-quality RNA must be reliably obtained, often from diverse taxa. However, high levels of compounds such as flavonoids, tannins, waxes, and other secondary metabolites found in the tissues of aromatic, woody, and aquatic plants can make it difficult to extract RNA in sufficient quantity and quality for NGS. To circumvent these problems, many different methods have been developed for RNA extraction from plant tissues (e.g., Johnson et al., 2012; Yockteng et al., 2013; Zhu et al., 2013). During our involvement in the 1KP project (One Thousand Plants Initiative, see www.onekp.com), we developed two RNA isolation protocols that were used to obtain high-quality and -quantity RNA from a diverse set of plant species. Here we present two protocols (Options 1 and 2) in detail and compare their success rate with a third protocol (Option 3) that is standardly used for many species (e.g., Buggs et al., 2009; Johnson et al., 2012). An earlier version of our Option 1 can be found in the appendix of Johnson et al. (2012) in Protocol 14, but is presented here with further refinements that improve RNA quality and quantity. Option 2 is presented for the first time. In this manuscript, we quantify RNA extraction success among the methods with Bioanalyzer metrics, not transcriptome sequencing success as was done in Johnson et al. (2012), by quantifying number of scaffolds and resulting assemblies. An extraction was considered successful if it met the quantity and quality set by the 1KP consortium agreement: ≥30 μg of total RNA, RNA integrity number (RIN) higher than 5, and rRNA ratio (26S/18S) greater than 1. Although Johnson et al. (2012) conclude that transcriptome assemblies were mostly dependent on the NGS sequencing platform, RNA quality (RIN and optical density [OD] ratios) and quantity also had significant effects. The two preferred protocols presented here result in RNA isolations of the quality and quantity required for transcriptome sequencing in a wide range of plant taxa.

METHODS AND RESULTS

Selection of material

The plants selected for the 1KP project were meant to circumscribe the entire green plant clade (Viridiplantae), including chlorophyte algae (see Johnson et al., 2012; Matasci et al., 2014). RNA from the majority of taxa in the 1KP project were extracted with protocols outlined in Johnson et al. (2012). The protocols presented here were developed to handle samples for which those methods had failed to provide good-quality RNA extractions. Most are angiosperms and many have characteristics (aromatic, woody, aquatic) known to present challenges to RNA extraction (Appendix 1).

Overview of protocols

Option 1 is the manufacturer’s protocol for RNA extraction with TRIzol (Ambion, Life Technologies, Carlsbad, California, USA), with the addition of sarkosyl to the extraction solution. Option 2 combines traditional cetyltrimethylammonium bromide (CTAB) extraction (Doyle and Doyle, 1987) followed by the use of TRIzol with sarkosyl (i.e., CTAB followed by Option 1). Both Option 1 and 2 used the TURBO DNA-free kit (Ambion) for DNA digestion, which proved to be superior for RNA stability compared to the on-column digestion (Appendix 2 for taxa that degraded [gray cells]). Option 3 combines the CTAB extraction method followed by the use of half of the QIAGEN RNeasy Plant Mini Kit for on-column DNA digestion (QIAGEN, Valencia, California, USA). Option 3 was the protocol used during the initial phase of the 1KP project, and in other projects in our laboratory (e.g., Buggs et al., 2009), but after multiple failures, Options 1 and 2 were developed to deal with difficult plant materials. These methods are briefly outlined below, and detailed bench-ready protocols can be found in Appendices 3–6). A flow chart can be found in Fig. 1. Option 1 is recommended as a starting point when working with unstudied taxa because it has fewer steps. If this fails, researchers should then move to Option 2. The protocols here can be adapted to processing few samples or relatively high-throughput extractions of 12 to 24 samples at a time. The use of 2-mL microcentrifuge tubes and an automatic shaker for tissue pulverization is ideal (see Appendix 3 for details on tissue collection and processing). These methods can still be used with tissue pulverization in a mortar and pestle if an automatic shaker is not available or the tissue will not pulverize by beads alone, then transferred to the 2-mL tubes (i.e., some Poaceae and succulent species).
Fig. 1.

Flow chart describing the iterative process to successfully obtain high-quality and -quantity RNA using Option 1 and Option 2. (Option 3 is excluded, as it is not recommended.)

Flow chart describing the iterative process to successfully obtain high-quality and -quantity RNA using Option 1 and Option 2. (Option 3 is excluded, as it is not recommended.) The addition of sarkosyl in the TRIzol extraction step in either Option 1 or 2 was integral for improving quality and yield in some taxa, but was not required for all taxa (data not shown). The addition of sarkosyl to lysis solutions is not new; it has been used in both plant and animal nucleic acid and protein isolations since the 1970s (Kingston, 2010) and is still used today for various applications (Huang et al., 2012). It is commonly recommended as an addition to isolation buffers containing guanidine (Kingston, 2010), an ingredient in the TRIzol solution. The addition of sarkosyl to the Ambion TRIzol extraction kit was used to deal with plants with high amounts of organic compounds or other complexities (typically indicated by a brown color in the aqueous layer). After centrifugation, the lightweight sarkosyl layer rested at the interface between the upper aqueous solution and the lower organic layer. Following TRIzol and sarkosyl extraction, a 100% chloroform extraction was always done once, sometimes twice, depending on whether a whitish interface was present between the organic and the aqueous layers.

RNA precipitation and pelleting

In all of the options, the method of RNA precipitation was similar (in Option 3, 5 M NaCl was also added). The tube containing the aqueous phase was filled with 100% isopropanol at room temperature, gently inverted, then incubated at −20°C for 10 min for Options 1 and 2, and 20 min for Option 3. Overnight incubation did not increase the yield, and the best RNA was obtained when no cloudiness or white precipitate was formed after addition of isopropanol. After incubation, in Options 1 and 2 the samples were centrifuged at 4°C for 20 min to pellet the RNA, typically producing pellets of 0.25–1 cm long (the expected size as indicated by Ambion). The RNA was not pelleted in Option 3. The pellet was washed with 75% ethanol and air-dried for no longer than 10 min (otherwise resuspension was difficult), and resuspended in RNase-free water by incubation at 37°C on an orbital shaker for 10 min. If the pellet was not dissolved by the end of this incubation period, in most cases, it was not worth proceeding, and the process was started from the beginning with a new sample (Fig. 1). For Option 3, if the NanoDrop (Thermo Scientific, Waltham, Massachusetts, USA) gave poor results (data not shown), the sample was also discarded. Therefore, these failed attempts do not have Bioanalyzer metrics as others listed in Appendix 2.

Extraction success: Quality, quantity, and stability

Extraction success was measured from Bioanalyzer metrics for the quality and quantity of RNA isolated (Agilent Technologies, Santa Clara, California, USA) (Fig. 2, Appendix 2, and Appendix S1 for those that were analyzed with the Bioanalyzer). Over the course of this study, 382 separate RNA extractions were attempted from leaf tissues, of which 138 were successful (Table 1). Many of the failures were due to the iterative process of developing the protocols presented here and multiple unsuccessful attempts with Option 3 before alternatives were sought. Table 1 summarizes the levels of extraction success of each method during this process, and the number of taxa for which RNA was successfully extracted in the end. Using our methods, we finally successfully extracted RNA from 77 unique taxa of 91 attempted (85%). Option 1 was tested on 74 of the 91 taxa in this data set, Option 2 was tested on 41 of the 91 taxa, Option 3 was used on 68 out of 91 taxa. Not all methods were tried on all taxa, as the goal of our work was to obtain pure RNA for the 1KP project as quickly as possible, not to test all methods across all taxa. Options 1 and 2 often succeeded with material that failed to yield RNA with Option 3 (Appendix 2). Nine taxa were unsuccessful in extraction with any of the three methods, perhaps due to the chemical composition of the plant, or perhaps tissue quality (Appendix 2). Two taxa yielded good-quality and -quantity RNA, but the library construction failed at BGI (Shenzen, China) (for details see Johnson et al. [2012] and Appendix 2). Most of the extractions that were partially successful with Option 3 were of low RNA quality, and often degraded (gray cells in Appendix 2), but the nondegraded isolations from Option 3 were sometimes ultimately suitable for transcriptome sequencing (Appendix 2).
Fig. 2.

Examples of Agilent 2100 Bioanalyzer spectra of total RNA showing improvement with Options 1 and 2 compared to Option 3. Each graph shows the intensity of the peaks of the ribosomal RNA subunits: nuclear large-28S, small-18S, cytoplasmic, mitochondrial, and chloroplastic (smaller subunits). The electrophoretic gel for each sample is shown to the right indicating the subunit bands or degradation (i.e., smear). nt = number of estimated nucleotides based on ladder; FU = fluorescence unit (i.e., intensity of peak). (A) Degraded ribosomal RNA subunits of Canella winterana (L.) Gaertn. extracted with Option 3 that resulted in an estimation of 27 μg of RNA, but the subunits are degraded. (B) A second example using Option 3, Muntingia calabura L., also shows an inflated quantity reading with degraded subunits. (C) Canella winterana, extracted with Option 1, indicating peaks for intact ribosomal RNA subunits. (D) Muntingia calabura extracted with Option 2.

Table 1.

Success of RNA extraction for each method. Success is defined by the Bioanalyzer results and final quantity of pure RNA that was sequenced. Final concentration was estimated from the Bioanalyzer and the known volume of the final extraction. Some samples were extracted multiple times and pooled (i.e., “repeats”). Note that most samples were initially tried with Option 3; those that failed were then attempted with Options 1 and 2. Thus, not all samples were extracted with all options.

MethodNo. of successful RNA extractions/total RNA extractions tried% of successful RNA extractionsNo. of taxa with successful RNA extractions/tried taxa% of taxa with successful RNA extractionsAvg. μg of total RNA
Option 1: TRIzol/TURBO DNA-free56/1194734/744651.1
Option 2: CTAB/ TRIzol/TURBO DNA-free43/636831/417677.6
Option 3: CTAB/QIAGEN Kit/on-column digestion39/2002018/682633.8
Overall totals138/3823683/183 (without repeats 77/91)45 (without repeats 85)Total average 54.2
Examples of Agilent 2100 Bioanalyzer spectra of total RNA showing improvement with Options 1 and 2 compared to Option 3. Each graph shows the intensity of the peaks of the ribosomal RNA subunits: nuclear large-28S, small-18S, cytoplasmic, mitochondrial, and chloroplastic (smaller subunits). The electrophoretic gel for each sample is shown to the right indicating the subunit bands or degradation (i.e., smear). nt = number of estimated nucleotides based on ladder; FU = fluorescence unit (i.e., intensity of peak). (A) Degraded ribosomal RNA subunits of Canella winterana (L.) Gaertn. extracted with Option 3 that resulted in an estimation of 27 μg of RNA, but the subunits are degraded. (B) A second example using Option 3, Muntingia calabura L., also shows an inflated quantity reading with degraded subunits. (C) Canella winterana, extracted with Option 1, indicating peaks for intact ribosomal RNA subunits. (D) Muntingia calabura extracted with Option 2. Success of RNA extraction for each method. Success is defined by the Bioanalyzer results and final quantity of pure RNA that was sequenced. Final concentration was estimated from the Bioanalyzer and the known volume of the final extraction. Some samples were extracted multiple times and pooled (i.e., “repeats”). Note that most samples were initially tried with Option 3; those that failed were then attempted with Options 1 and 2. Thus, not all samples were extracted with all options. Bioanalyzer metrics for the total quantity of RNA isolated, RIN, and OD ratio were not the same across the different extraction options (Fig. 3). Given that the data set was compiled as trial and error, but not formally designed for statistical measures, only the distribution of the data is shown (Appendix S1). For the purposes of the 1KP project, 30 μg of total RNA was requested for each taxon from BGI for a full transcriptome sequence (Johnson et al., 2012). However, today, 30 μg of RNA is not necessarily needed to generate transcriptomes. For the 18 taxa successfully extracted with Option 3 in this study, multiple extractions (2–4) had to be done and pooled to reach the desired amount (using ∼100 mg of frozen tissue per extraction). Out of the successful extractions made with Options 1 and 2, only 33% of the taxa gave less than 30 μg in the first extraction attempt, and at most two extractions were needed to obtain the quantity desired. The majority of the time for Option 2 (67% of the extractions), the quantity averaged 77 μg of RNA from only 100 mg of tissue in the first extraction attempt, so no pooling was needed. The maximum amount was 250 μg of RNA in one extraction.
Fig. 3.

Distribution of RNA quantity and quality. Box plots illustrate (A) total micrograms of RNA isolated by each method, (B) RNA integrity number resulting from each method, and (C) rRNA (OD) ratio resulting from each method. The error bars and the boxes indicate the quantiles of the data (JMP Pro 11.0, SAS Institute).

Distribution of RNA quantity and quality. Box plots illustrate (A) total micrograms of RNA isolated by each method, (B) RNA integrity number resulting from each method, and (C) rRNA (OD) ratio resulting from each method. The error bars and the boxes indicate the quantiles of the data (JMP Pro 11.0, SAS Institute).

To NanoDrop or not

NanoDrop or similar equipment for RNA (or DNA) concentration measures can be used to obtain an estimate for total amount of nucleic acids. The NanoDrop cannot detect the presence of intact ribosomal-RNA subunits, and therefore is not able to detect if the RNA is degraded. Additionally, the NanoDrop cannot reliably measure the concentration in impure samples from chemically complex plant extractions, giving an inflated reading. However, as most laboratories do not have easy access or funds to use a Bioanalyzer, the use of the NanoDrop (or Qubit, Life Technologies) is still a laboratory necessity. We advise that using spectrophotomic methods such as NanoDrop or fluorescent-dye methods (e.g., Qubit) are rough and easy ways to assess if the samples are “on track,” but should not be used as an absolute measure for concentration and cannot give a reading of the quality of the ribosomal RNA subunits to prepare for transcriptome sequencing. Low-quality RNA can still be sequenced, but the resulting sequences will be poor, and only determined so after the transcriptome is assembled (R. Cronn, personal communication).

RNA stability: Storing and shipping pure RNA

As with most molecular biological materials, a freeze/thaw process can damage a sample. We found that RNA samples that were not digested immediately with DNase could be stored at 4°C for 2 to 3 d before digestion with no apparent change in quality (data not shown). Once the DNA was digested, a 3-μL aliquot was run on the Agilent 2100 Bioanalyzer, and the remaining samples were placed at −80°C for storage until it was mailed. The pure RNA was sent in the mail for library construction and sequencing after drying down onto specially coated tubes (i.e., GenVault, now renamed as GenTegra; IntegenX, Pleasanton, California, USA) that inhibit RNase activity and stabilize the RNA at room temperature. In general, samples extracted with Options 1 and 2 were more likely to make it through storage, GenVault shipping, and resuspension at BGI than were samples extracted with Option 3. The Option 3 samples were often degraded beyond use upon resuspension at the BGI sequencing facility (Fig. 2A, B and Appendix 2 [gray cells]).

CONCLUSIONS

Use of the TRIzol supplemented with sarkosyl followed by removal of DNA with the TURBO DNA-free kit (Option 1) is an efficient and effective means of extracting RNA from a diverse array of plants, especially those that are woody, aromatic, or aquatic. With the addition of the traditional CTAB method prior to the TRIzol (Option 2), even the most stubborn taxa were mostly successful and gave consistent RNA quality measures. Option 3, which has been used successfully in many laboratories (including our own, e.g., Buggs et al., 2009; Johnson et al., 2012) for RNA isolation, is not the most efficient or robust method for obtaining high-quantity and -quality RNA in transcriptomics across the Embryophyta. Despite the success of the protocols described here, our methods were not successful for some plants that contain high amounts of mucilage, such as Opuntia sp. Click here for additional data file.
Appendix 1.

List of taxa from which RNA was extracted. Voucher information for the accessions includes the collector, collection number, herbarium acronym, collection location, and georeferenced coordinates of the collection site.

TaxonFamilyVoucher IDHerbariumCollection informationGeographic coordinates
Agrimonia eupatoria L.RosaceaeChase 38775KRBG Kew, Living Collection51.47, 0.295
Alluaudiopsis marnieriana RauhDidiereaceaeSoltis and Miles 2981FLASU of Florida greenhouse29.64, −82.34
Alnus serrulata (Aiton) Willd.BetulaceaeSoltis and Miles 2964FLASU of Florida campus29.64, −82.34
Amelanchier canadensis (L.) Medik.RosaceaeChase 38778KRBG Kew, Living Collection51.47, 0.295
Anisacanthus quadrifidus (Vahl) NeesAcanthaceaeSoltis and Miles 2970FLASU of Florida campus29.64, −82.34
Antirrhinum majus L.PlantaginaceaeSoltis and Miles 2963FLASU of Florida campus29.65, −82.34
Aristida stricta Michx.PoaceaeJackie Rice JDR10FLASMorningside Nature Center, Gainesville, FL29.65, −82.27
Aruncus dioicus (Walter) FernaldRosaceaeChase 38772KRBG Kew, Living Collection51.47, 0.295
Astilbe chinensis (Maxim.) Franch. & Sav.SaxifragaceaeChase 38784KRBG Kew, Living Collection51.47, 0.295
Bacopa caroliniana (Walter) B. L. Rob.PlantaginaceaeSoltis and Miles 2974FLASU of Florida greenhouse29.64, −82.34
Bischofia javanica BlumePhyllanthaceaeSoltis and Miles 2978FLASU of Florida greenhouse29.64, −82.34
Bixa orellana L.BixaceaeSoltis and Miles 2985FLASU of Florida greenhouse29.64, −82.34
Boykinia jamesii var. heucheriformis (Rydb.) Engl.SaxifragaceaeChase 38782KRBG Kew, Living Collection51.47, 0.295
Canella winterana (L.) Gaertn.CanellaceaeSoltis and Miles 2995FLASU of Florida greenhouse29.64, −82.34
Castanea pumila (L.) Mill.FagaceaeSoltis and Miles 2977FLASU of Florida campus29.64, −82.34
Ceratopteris sp. Brongn.PteridaceaeSoltis and Miles 3005FLASU of Florida greenhouse29.64, −82.34
Cercocarpus ledifolius Nutt.RosaceaeChase 38780KRBG Kew, Living Collection51.47, 0.295
Cicerbita plumieri Kirschl.AsteraceaeEdward Schilling 11-48TENNU of Tennessee campus35.95, −83.92
Corynocarpus laevigatus J. R. Forst. & G. Forst.CorynocarpaceaeSoltis and Miles 2986FLASU of Florida greenhouse29.64, −82.34
Cotoneaster transcaucasicus Pojark.RosaceaeChase 38779KRBG Kew, Living Collection51.47, 0.295
Cryptocarya alba (Molina) LooserLauraceaeSoltis and Miles 2998FLASU of Florida greenhouse29.64, −82.34
Deutzia scabra Thunb.HydrangeaceaeSoltis and Miles 2965FLASU of Florida campus29.64, −82.34
Disporopsis pernyi (Hua) DielsAsparagaceaeMike Heaney JMH2546FLASU of Florida greenhouse29.64, −82.34
Dryas octopetala L.RosaceaeChase 38781KRBG Kew, Living Collection51.47, 0.295
Epifagus virginiana (L.) W. P. C. BartonOrobanchaceaeSoltis and Miles 2996 (Paul Manos 1800)DUKEDuke University campus36.00, −78.94
Forestiera segregata (Jacq.) Krug & Urb.OleaceaeSoltis and Miles 2969FLASU of Florida campus29.64, −82.34
Frullania sp. RaddiJubulaceaeVon Konrat 10021FChile, NW shore of Isla Londonderry, SW arm of Bahia Isabel−54.98, −70.87
Geum quellyon SweetRosaceaeChase 38770KRBG Kew, Living Collection51.47, 0.295
Gunnera chilensis Lam.GunneraceaeSoltis and Miles 2966FLASU of Florida greenhouse29.64, −82.34
Gunnera manicata Linden ex AndréGunneraceaeSoltis and Miles 2938FLASU of Florida greenhouse29.64, −82.34
Hilleria latifolia (Lam.) H. WalterPhytolaccaceaeSoltis and Miles 2976FLASU of Florida campus29.64, −82.34
Hydrocotyle umbellata L.AraliaceaeSoltis and Miles 2959FLASU of Florida campus29.64, −82.34
Illicium floridanum J. EllisSchisandraceaeSoltis and Miles 2960FLASGainesville, FL, home garden; Soltis29.67, −82.36
Kerria japonica (L.) DC.RosaceaeChase 38777KRBG Kew, Living Collection51.47, 0.295
Kigelia africana (Lam.) Benth.BignoniaceaeSoltis and Miles 2992FLASU of Florida greenhouse29.64, −82.34
Kirkia wilmsii Engl.KirkiaceaeSoltis and Miles 2982FLASU of Florida greenhouse29.64, −82.34
Krameria lanceolata Torr.KrameriaceaeSoltis and Miles 2991FLASRte. 24, 0.5 mi. W of Alachua Co. line; N side of rd.; sandhill29.46, −82.61
Lachnanthes caroliniana (Lam.) DandyHaemodoraceaeSoltis and Miles 2988FLASRt 24, N of roadside, 10 mi W of Alachua Co. line29.41, −82.67
Lactuca graminifolia Michx.AsteraceaeEdward Schilling LG-1TENNU of Tennessee campus35.95, −83.92
Lagerstroemia indica L.LythraceaeSoltis and Miles 2971FLASU of Florida campus29.64, −82.34
Licania michauxii PranceChrysobalanaceaeSoltis and Miles 2990FLASGainesville, FL, home garden; Judd29.57, −82.42
Lindera benzoin (L.) BlumeLauraceaeSoltis and Miles 2968FLASU of Florida campus29.64, −82.34
Malus baccata (L). Borkh. var. jackii Borkh.RosaceaeChase 38773KRBG Kew, Living Collection51.47, 0.295
Mammea americana L.CalophyllaceaeSoltis and Miles 3003FLASU of Florida greenhouse29.64, −82.34
Melia azedarach L.MeliaceaeSoltis and Miles 2961FLASU of Florida campus29.64, −82.35
Michelia maudiae DunnMagnoliaceaeSoltis and Miles 2954FLASU of Florida campus29.64, −82.34
Micranthes geum (L.) SmallSaxifragaceaeChase 38790KRBG Kew, Living Collection51.47, 0.295
Microtea debilis Sw.PhytolaccaceaeSoltis and Miles 2997FLASUniversity of Cambridge campus52.20, −0.116
Muntingia calabura L.MuntingiaceaeSoltis and Miles 2984FLASU of Florida greenhouse29.64, −82.34
Myrica pumila (Michx.) SmallMyricaceaeJackie Rice JDR9FLASMorningside Nature Center, Gainesville, FL29.65, −82.27
Nandina domestica Thunb.BerberidaceaeSoltis and Miles 2972FLASU of Florida campus29.64, −82.34
Nolina bigelovii (Torr.) S. WatsonAsparagaceaeMike Heaney JMH2984FLASU of Florida greenhouse29.64, −82.34
Opuntia austrina SmallCactaceaeLucas Majure LCM_3450FLASU of Florida greenhouse29.64, −82.34
Opuntia pusilla (Haw.) Haw.CactaceaeLucas Majure LCM_753FLASU of Florida greenhouse29.64, −82.34
Peliosanthes minor Yamam.AsparagaceaeMike Heaney JMH2549FLASU of Florida greenhouse29.64, −82.34
Peltoboykinia watanabei (Yatabe) H. HaraSaxifragaceaeChase 38787KRBG Kew, Living Collection51.47, 0.295
Persea borbonia (L.) Spreng.LauraceaeSoltis and Miles 2980FLASU of Florida campus29.64, −82.34
Philadelphus inodorus L.HydrangeaceaeSoltis and Miles 2953FLASU of Florida campus29.64, −82.34
Phoradendron leucarpum (Raf.) Reveal & M. C. Johnst.SantalaceaeSoltis and Miles 2957FLASU of Florida campus29.64, −82.34
Physocarpus opulifolius (L.) Maxim.RosaceaeChase 38776KRBG Kew, Living Collection51.47, 0.295
Podostemum sp. Michx.PodostemaceaeSoltis and Miles 2994FLASMassachusettsNA
Pogostemon sp. Desf.LamiaceaeGrant Godden GGT4FLASGainesville, FL, home garden; Godden29.65, −82.31
Poliomintha bustamanta B. L. TurnerLamiaceaeGrant Godden GGT1FLASGainesville, FL, home garden; Godden29.65, −82.31
Polypremum procumbens L.TetrachondraceaeSoltis and Miles 2989FLASGainesville, FL, home garden; Judd29.57, −82.42
Prunus prostrata Labill.RosaceaeChase 38785KRBG Kew, Living Collection51.47, 0.295
Pteris ensiformis Burm. f.PteridaceaeSoltis and Miles 3001FLASU of Florida greenhouse29.64, −82.34
Punica granatum L.LythraceaeSoltis and Miles 2973FLASU of Florida campus29.64, −82.34
Pyrus calleryana Decne.RosaceaeChase 38791KRBG Kew, Living Collection51.47, 0.295
Rhamnus caroliniana WalterRhamnaceaeSoltis and Miles 2952FLASU of Florida campus29.64, −82.34
Rivina humilis L.PhytolaccaceaeSoltis and Miles 2975FLASU of Florida greenhouse29.64, −82.34
Rodgersia podophylla A. GraySaxifragaceaeChase 38783KRBG Kew, Living Collection51.47, 0.295
Ruellia brittoniana LeonardAcanthaceaeSoltis and Miles 2962FLASGainesville, FL, home garden; Soltis29.67, −82.36
Salvinia sp. Ség.SalviniaceaeSoltis and IEJ-T 3013FLASU of Florida greenhouse29.64, −82.34
Sambucus canadensis L.AdoxaceaeSoltis and Miles 2955FLASU of Florida campus29.64, −82.34
Sanguisorba minor Scop.RosaceaeChase 38771KRBG Kew, Living Collection51.47, 0.295
Saxifraga geum L. var. gracilisSaxifragaceaeChase 38790KRBG Kew, Living Collection51.47, 0.295
Schlegelia parasitica (Sw.) Miers ex Griseb.SchlegeliaceaeSoltis and Miles 2983FLASU of Florida greenhouse29.64, −82.34
Sorbus koehneana C. K. Schneid.RosaceaeChase 38774KRBG Kew, Living Collection51.47, 0.295
Sprekelia formosissima (L.) Herb.AmaryllidaceaeGarcia 4381KU of Florida greenhouse29.64, −82.34
Strobilanthes dyerianusAcanthaceaeSoltis and Miles 2958FLASU of Florida greenhouse29.64, −82.34
Talinum sp. Adans.TalinaceaeSoltis and Miles 2979FLASU of Florida greenhouse29.64, −82.34
Tellima breviflora Rydb.SaxifragaceaeChase 38789KRBG Kew, Living Collection51.47, 0.295
Teucrium chamaedrys L.LamiaceaeGrant Godden GGT3FLASGainesville, FL, home garden; Godden29.65, −82.31
Thymus vulgaris L.LamiaceaeGrant Godden GGT2FLASGainesville, FL, home garden; Godden29.65, −82.31
Tiarella polyphylla D. DonSaxifragaceaeChase 38786KRBG Kew, Living Collection51.47, 0.295
Tragopogon castellanus LevierAsteraceaeSoltis and Miles 2993FLASU of Florida greenhouse29.64, −82.34
Traubia modesta RavennaAmaryllidaceaeGarcia 3014FLASU of Florida greenhouse29.64, −82.34
Uniola paniculata L.PoaceaeRichard Hodel RGJH1001FLASSt. Augustine Beach, FL29.86, −81.26
Utricularia sp. L.LentibulariaceaeSoltis and Miles 2987FLASU of Florida greenhouse29.64, −82.34
Zephyranthes citrina BakerAmaryllidaceaeGarcia 4376FLASU of Florida greenhouse29.64, −82.34
Ziziphus jujuba Mill.RhamnaceaeSoltis and Miles 2956FLASU of Florida campus29.64, −82.34

Note: NA = not available.

All garden-grown individuals in this study are from unknown seed or stock source and cannot be traced to the possible wild collection site as they are either established landscape plants or part of a permanent greenhouse collection with the main purpose of teaching botany.

Appendix 2.

List of taxa from which RNA was extracted, the method used, and the Agilent 2100 Bioanalyzer quality indicators of the final extraction that was sequenced.

Option 1Option 2Option 3
FamilyTaxonMaterial isolated (μg)RINbrRNA Ratio 26S/18SMaterial isolated (μg)RINbrRNA Ratio 26S/18SMaterial isolated (μg)RINbrRNA Ratio 26S/18SSequenced?Voucher ID
AcanthaceaeAnisacanthus quadrifidus  (Vahl) Nees406.4Missing46.13.91.2Option 1Soltis and Miles 2970
AcanthaceaeRuellia brittoniana  Leonard437.6Missing29.22.40Option 1Soltis and Miles 2962
AcanthaceaeStrobilanthes  dyerianus25*4.92.7Option 3Soltis and Miles 2958
AdoxaceaeSambucus  canadensis L.45.54.21.4Option 1Soltis and Miles 2955
AmaryllidaceaeSprekelia formosissima  (L.) Herb.22.13.20.2Library construction  failedGarcia 4381
AmaryllidaceaeTraubia modesta  Ravenna4061.6Option 2Garcia 3014
AmaryllidaceaeZephyranthes citrina  Baker224.50.3Library construction  failedGarcia 4376
AraliaceaeHydrocotyle  umbellata L.30*5.91.1Option 3Soltis and Miles 2959
AsparagaceaeDisporopsis pernyi (Hua)  Diels33.77.21.4Option 1Mike Heaney JMH2546
AsparagaceaeNolina bigelovii  (Torr.) S. Watson33.457.91.5Option 1Mike Heaney JMH2984
AsparagaceaePeliosanthes minor  Yamam.21.16.91.2Option 1Mike Heaney JMH2549
AsteraceaeCicerbita plumieri  Kirschl.217.62.5Option 1Edward Schilling 11-48
AsteraceaeLactuca graminifolia  Michx.54.857.62.4Option 1Edward Schilling LG-1
AsteraceaeTragopogon  castellanus Levier19.36.3136.72.10Option 1Soltis and Miles 2993
BerberidaceaeNandina domestica  Thunb.30*5.71Option 3Soltis and Miles 2972
BetulaceaeAlnus serrulata  (Aiton) Willd.20*8.22.2Option 3Soltis and Miles 2964
BignoniaceaeKigelia africana  (Lam.) Benth.250.95.12.8Option 1Soltis and Miles 2992
BixaceaeBixa orellana L.30*4.81.6Option 3Soltis and Miles 2985
CactaceaeOpuntia austrina Small7.78.21.4Low conc.; library  not triedLucas Majure LCM_3450
CactaceaeOpuntia pusilla  (Haw.) Haw.Tried but failedTried but failedTried but  failedTried but  failedTried but  failedTried but  failedTried but  failedTried but  failedTried but  failedAll extractions  failedLucas Majure LCM_753
CalophyllaceaeMammea americana L.5061.6Option 2Soltis and Miles 3003
CanellaceaeCanella winterana  (L.) Gaertn.42.06.31.128.52.60.5Option 1Soltis and Miles 2995
ChrysobalanaceaeLicania michauxii  Prance2272Option 2Soltis and Miles 2990
CorynocarpaceaeCorynocarpus laevigatus  J. R. Forst. & G. Forst.126.87.3Missing42.23.40.8Option 1Soltis and Miles 2986
DidiereaceaeAlluaudiopsis  marnieriana Rauh15.95.9Missing27.73.30.8Option 1Soltis and Miles 2981
FagaceaeCastanea pumila  (L.) Mill.25*6.51.5Option 3Soltis and Miles 2977
GunneraceaeGunnera chilensis Lam.25*6.71.6Option 3Soltis and Miles 2966
GunneraceaeGunnera manicata  Linden ex André815.61Option 3Soltis and Miles 2938
HaemodoraceaeLachnanthes  caroliniana (Lam.) DandyTried but  failedTried but  failedTried but  failedTried but  failedTried but  failedTried but  failedTried but  failedTried but  failedTried but  failedAll extractions  failedSoltis and Miles 2988
HydrangeaceaeDeutzia scabra Thunb.1.752.6082.32.90.5Option 3Soltis and Miles 2965
HydrangeaceaeDeutzia scabra Thunb.Low conc.; library  not triedSoltis and Miles 2965
HydrangeaceaePhiladelphus  inodorus L.35*4.91.1Option 3Soltis and Miles 2953
JubulaceaeFrullania sp. Raddi406.11.6Option 2Von Konrat 10021
KirkiaceaeKirkia wilmsii Engl.13.8*6.90.7Option 3Soltis and Miles 2982
KrameriaceaeKrameria lanceolata  Torr.23.84.51.1Option 3Soltis and Miles 2991
LamiaceaePogostemon sp. Desf.39.357.51.6Option 1Grant Godden GGT4
LamiaceaePoliomintha bustamanta  B. L. Turner4661.6Option 2Grant Godden GGT1
LamiaceaeTeucrium chamaedrys L.72.857.41.7Option 1Grant Godden GGT3
LamiaceaeThymus vulgaris L.71.17.51.4Option 1Grant Godden GGT2
LauraceaeCryptocarya alba  (Molina) LooserTried but  failedTried but  failedTried but  failedTried but  failedTried but  failedTried but  failedTried but  failedTried but  failedTried but failedAll extractions failedSoltis and Miles 2998
LauraceaeLindera benzoin  (L.) Blume2.72.6048.561.627.82.70.2Option 2Soltis and Miles 2968
LauraceaePersea borbonia  (L.) Spreng.18*5.31.2Option 3Soltis and Miles 2980
LentibulariaceaeUtricularia sp. L.30.94.31.2Option 3Soltis and Miles 2987
LythraceaeLagerstroemia indica L.781.8Option 3Soltis and Miles 2971
LythraceaePunica granatum L.20*7.51.9Option 3Soltis and Miles 2973
MagnoliaceaeMichelia maudiae Dunn28.5*4.10.6Option 3Soltis and Miles 2954
MalvaceaeGrewia occidentalis14.043.21DegradedMissing
MeliaceaeMelia azedarach L.2026.51.5Option 1Soltis and Miles 2961
MuntingiaceaeMuntingia calabura L.218.11.7122.82.90.3Option 2Soltis and Miles 2984
MyricaceaeMyrica pumila  (Michx.) SmallTried but failedTried but failedTried but failedTried but failedTried but failedTried but failed14.53.11.3All extractions  failedJackie Rice JDR9
OleaceaeForestiera segregata  (Jacq.) Krug & Urb.27.06.5Missing24.53.00.5Option 1Soltis and Miles 2969
OrobanchaceaeEpifagus virginiana  (L.) W. P. C. Barton10.93.10.638.37.21.646.52.10Option 2Soltis and Miles 2996 (Paul Manos 1800)
PhyllanthaceaeBischofia javanica  Blume10*7.83Option 3Soltis and Miles 2978
PhytolaccaceaeHilleria latifolia  (Lam.) H. Walter24.15.80.535.62.70.1Option 1Soltis and Miles 2976
PhytolaccaceaeMicrotea debilis Sw.43.96.3129.43.00.4Option 1Soltis and Miles 2997
PhytolaccaceaeRivina humilis L.19.456.6128.422.80.4Option 1Soltis and Miles 2975
PlantaginaceaeAntirrhinum majus L.64.05.40.550.94.10.8Option 1Soltis and Miles 2963
PlantaginaceaeBacopa caroliniana  (Walter) B. L. Rob.26.07.81.428.43.51.5Option 1Soltis and Miles 2974
PoaceaeAristida stricta Michx.54.55.6MissingOption 1Jackie Rice JDR10
PoaceaeUniola paniculata L.35.857.62.5Option 1Richard Hodel RGJH1001
PodostemaceaePodostemum sp. Michx.23.94.70.844.72.10Library construction  failedSoltis and Miles 2994
PteridaceaeCeratopteris sp. Brongn.MissingMissingMissingOption 2Soltis and Miles 3005
PteridaceaePteris ensiformis Burm. f.288.41.6Option 1Soltis and Miles 3001
RhamnaceaeRhamnus caroliniana  Walter1625.81.1803.10.5Option 1Soltis and Miles 2952
RhamnaceaeZiziphus jujuba Mill.0.152.70456.51.625*3.60.6Option 2Soltis and Miles 2956
RosaceaeAgrimonia eupatoria L.Tried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedAll extractions  failedChase 38775
RosaceaeAmelanchier canadensis  (L.) Medik.5071.7Option 2Chase 38778
RosaceaeAruncus dioicus  (Walter) Fernald1226.41.6Option 2Chase 38772
RosaceaeCercocarpus ledifolius  Nutt.407.12.5Option 2Chase 38780
RosaceaeCotoneaster transcaucasicus Pojark.1548.21.5Option 2Chase 38779
RosaceaeDryas octopetala L.677.31.6Option 2Chase 38781
RosaceaeGeum quellyon Sweet78.27.71.6Option 2Chase 38770
RosaceaeKerria japonica (L.) DC.2608.41.8Option 2Chase 38777
RosaceaeMalus baccata (L). Borkh. var. jackii Borkh.756.71.9Option 2Chase 38773
RosaceaePhysocarpus opulifolius  (L.) Maxim.1638.32.2Option 2Chase 38776
RosaceaePrunus prostrata Labill.155.67.11.7Option 2Chase 38785
RosaceaePyrus calleryana Decne.Tried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedAll extractions  failedChase 38791
RosaceaeSanguisorba minor Scop.239.88.21.6Option 2Chase 38771
RosaceaeSorbus koehneana  C. K. Schneid.38.76.61.3Option 2Chase 38774
SalviniaceaeSalvinia sp. Ség.Tried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedAll extractions  failedSoltis and IEJ-T 3013
SantalaceaePhoradendron leucarpum  (Raf.) Reveal & M. C. Johnst.374.10.359.82.30Option 2Soltis and Miles 2957
SaxifragaceaeAstilbe chinensis  (Maxim.) Franch. & Sav.6071.6Option 2Chase 38784
SaxifragaceaeBoykinia jamesii var.  heucheriformis (Rydb.) Engl.63.962.1Option 2Chase 38782
SaxifragaceaeMicranthes geum  (L.) SmallTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedAll extractions  failedChase 38790
SaxifragaceaePeltoboykinia watanabei  (Yatabe) H. Hara7071.7Option 2Chase 38787
SaxifragaceaeRodgersia podophylla  A. GrayTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedAll extractions  failedChase 38783
SaxifragaceaeSaxifraga geum L. var.  gracilisTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedTried but failedAll extractions  failedChase 38790
SaxifragaceaeTellima breviflora Rydb.41.57.11.5Option 2Chase 38789
SaxifragaceaeTiarella polyphylla  D. Don307.81.6Option 2Chase 38786
SchisandraceaeIllicium floridanum  J. Ellis25*4.80.8Option 3Soltis and Miles 2960
SchlegeliaceaeSchlegelia parasitica  (Sw.) Miers ex Griseb.18.28.21.57.82.10Option 1Soltis and Miles 2983
TalinaceaeTalinum sp. Adans.8.67.3Missing15.42.30Option 1Soltis and Miles 2979
TetrachondraceaePolypremum  procumbens L.28.36.81.548.82.80.5YesSoltis and Miles 2989

Note: — = method was not tried on the species.

Gray cells are those with degraded RNA and either the library was not attempted or it failed. All samples were extracted from 60 to 100 mg of plant leaf tissue (for aquatics and succulents, 200 mg). The taxa that failed with all attempts were: Agrimonia eupatoria L. (Rosaceae), Cryptocarya alba (Molina) Looser (Lauraceae), Lachnanthes caroliniana (Lam.) Dandy (Haemodoraceae), Micranthes geum (L.) Small (Saxifragaceae), Opuntia pusilla (Haw.) Haw. (Cactaceae), Pyrus calleryana Decne. (Rosaceae), Rodgersia podophylla A. Gray (Saxifragaceae), Salvinia sp. Ség. (Salviniaceae), and Saxifraga geum L. var. gracilis (Saxifragaceae). Failed library construction despite having satisfactory metrics: Sprekelia formosissima (L.) Herb. (Amaryllidaceae) and Zephyranthes citrina Baker (Zephranthaceae).

RIN (RNA integrity number) is a measure from the Agilent 2100 Bioanalyzer that combines concentration and expected presence of subunits.

Marks the samples where an isolate was extracted from two to four extractions and pooled to be sequenced. (Not all extractions in Table 1 are in this table as not all were ran on the Bioanalyzer.)

  6 in total

Review 1.  Designing a transcriptome next-generation sequencing project for a nonmodel plant species.

Authors:  Susan R Strickler; Aureliano Bombarely; Lukas A Mueller
Journal:  Am J Bot       Date:  2012-01-19       Impact factor: 3.844

2.  A generic plant RNA isolation method suitable for RNA-Seq and suppression subtractive hybridization.

Authors:  Y Q Zhu; W J Wu; H W Xiao; H B Chen; Y Zheng; Y J Zhang; H X Wang; L Q Huang
Journal:  Genet Mol Res       Date:  2013-11-18

3.  Gene loss and silencing in Tragopogon miscellus (Asteraceae): comparison of natural and synthetic allotetraploids.

Authors:  R J A Buggs; A N Doust; J A Tate; J Koh; K Soltis; F A Feltus; A H Paterson; P S Soltis; D E Soltis
Journal:  Heredity (Edinb)       Date:  2009-03-11       Impact factor: 3.821

Review 4.  Data access for the 1,000 Plants (1KP) project.

Authors:  Naim Matasci; Ling-Hong Hung; Zhixiang Yan; Eric J Carpenter; Norman J Wickett; Siavash Mirarab; Nam Nguyen; Tandy Warnow; Saravanaraj Ayyampalayam; Michael Barker; J Gordon Burleigh; Matthew A Gitzendanner; Eric Wafula; Joshua P Der; Claude W dePamphilis; Béatrice Roure; Hervé Philippe; Brad R Ruhfel; Nicholas W Miles; Sean W Graham; Sarah Mathews; Barbara Surek; Michael Melkonian; Douglas E Soltis; Pamela S Soltis; Carl Rothfels; Lisa Pokorny; Jonathan A Shaw; Lisa DeGironimo; Dennis W Stevenson; Juan Carlos Villarreal; Tao Chen; Toni M Kutchan; Megan Rolf; Regina S Baucom; Michael K Deyholos; Ram Samudrala; Zhijian Tian; Xiaolei Wu; Xiao Sun; Yong Zhang; Jun Wang; Jim Leebens-Mack; Gane Ka-Shu Wong
Journal:  Gigascience       Date:  2014-10-27       Impact factor: 6.524

5.  Evaluating methods for isolating total RNA and predicting the success of sequencing phylogenetically diverse plant transcriptomes.

Authors:  Marc T J Johnson; Eric J Carpenter; Zhijian Tian; Richard Bruskiewich; Jason N Burris; Charlotte T Carrigan; Mark W Chase; Neil D Clarke; Sarah Covshoff; Claude W Depamphilis; Patrick P Edger; Falicia Goh; Sean Graham; Stephan Greiner; Julian M Hibberd; Ingrid Jordon-Thaden; Toni M Kutchan; James Leebens-Mack; Michael Melkonian; Nicholas Miles; Henrietta Myburg; Jordan Patterson; J Chris Pires; Paula Ralph; Megan Rolf; Rowan F Sage; Douglas Soltis; Pamela Soltis; Dennis Stevenson; C Neal Stewart; Barbara Surek; Christina J M Thomsen; Juan Carlos Villarreal; Xiaolei Wu; Yong Zhang; Michael K Deyholos; Gane Ka-Shu Wong
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

6.  A method for extracting high-quality RNA from diverse plants for next-generation sequencing and gene expression analyses.

Authors:  Roxana Yockteng; Ana M R Almeida; Stephen Yee; Thiago Andre; Colin Hill; Chelsea D Specht
Journal:  Appl Plant Sci       Date:  2013-12-09       Impact factor: 1.936

  6 in total
  25 in total

1.  Methodological Guidelines for Accurate Detection of Viruses in Wild Plant Species.

Authors:  Christelle Lacroix; Kurra Renner; Ellen Cole; Eric W Seabloom; Elizabeth T Borer; Carolyn M Malmstrom
Journal:  Appl Environ Microbiol       Date:  2016-01-15       Impact factor: 4.792

2.  Combining tRNA sequencing methods to characterize plant tRNA expression and post-transcriptional modification.

Authors:  Jessica M Warren; Thalia Salinas-Giegé; Guillaume Hummel; Nicole L Coots; Joshua M Svendsen; Kristen C Brown; Laurence Drouard; Daniel B Sloan
Journal:  RNA Biol       Date:  2020-07-25       Impact factor: 4.652

3.  Biofilm Formation and Synthesis of Antimicrobial Compounds by the Biocontrol Agent Bacillus velezensis QST713 in an Agaricus bisporus Compost Micromodel.

Authors:  Caroline Pandin; Maud Darsonval; Camille Mayeur; Dominique Le Coq; Stéphane Aymerich; Romain Briandet
Journal:  Appl Environ Microbiol       Date:  2019-05-30       Impact factor: 4.792

4.  A DE1 BINDING FACTOR 1-GLABRA2 module regulates rhamnogalacturonan I biosynthesis in Arabidopsis seed coat mucilage.

Authors:  Yan Xu; Yiping Wang; Jinge Du; Shengqiang Pei; Shuaiqiang Guo; Ruili Hao; Dian Wang; Gongke Zhou; Shengjun Li; Malcolm O'Neill; Ruibo Hu; Yingzhen Kong
Journal:  Plant Cell       Date:  2022-03-29       Impact factor: 11.277

5.  MYB1R1 and MYC2 Regulate ω-3 Fatty Acid Desaturase Involved in ABA-Mediated Suberization in the Russet Skin of a Mutant of 'Dangshansuli' (Pyrus bretschneideri Rehd.).

Authors:  Qi Wang; Yaping Liu; Xinyi Wu; Lindu Wang; Jinchao Li; Minchen Wan; Bin Jia; Zhenfeng Ye; Lun Liu; Xiaomei Tang; Shutian Tao; Liwu Zhu; Wei Heng
Journal:  Front Plant Sci       Date:  2022-06-09       Impact factor: 6.627

6.  Gene co-expression reveals the modularity and integration of C4 and CAM in Portulaca.

Authors:  Ian S Gilman; Jose J Moreno-Villena; Zachary R Lewis; Eric W Goolsby; Erika J Edwards
Journal:  Plant Physiol       Date:  2022-06-01       Impact factor: 8.005

7.  Comparative assessment of four RNA extraction methods and modification to obtain high-quality RNA from Parthenium hysterophorus leaf.

Authors:  Javed Ahmad; M Affan Baig; Arlene A Ali; Asma Al-Huqail; M M Ibrahim; M Irfan Qureshi
Journal:  3 Biotech       Date:  2017-10-16       Impact factor: 2.406

8.  Purification of High Molecular Weight Genomic DNA from Powdery Mildew for Long-Read Sequencing.

Authors:  Joanna M Feehan; Katherine E Scheibel; Salim Bourras; William Underwood; Beat Keller; Shauna C Somerville
Journal:  J Vis Exp       Date:  2017-03-31       Impact factor: 1.355

9.  A novel family of secreted insect proteins linked to plant gall development.

Authors:  Aishwarya Korgaonkar; Clair Han; Andrew L Lemire; Igor Siwanowicz; Djawed Bennouna; Rachel E Kopec; Peter Andolfatto; Shuji Shigenobu; David L Stern
Journal:  Curr Biol       Date:  2021-03-02       Impact factor: 10.834

10.  Peptidomics of Circular Cysteine-Rich Plant Peptides: Analysis of the Diversity of Cyclotides from Viola tricolor by Transcriptome and Proteome Mining.

Authors:  Roland Hellinger; Johannes Koehbach; Douglas E Soltis; Eric J Carpenter; Gane Ka-Shu Wong; Christian W Gruber
Journal:  J Proteome Res       Date:  2015-10-08       Impact factor: 4.466

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