Skip to main content

Organellar microcapture to extract nuclear and plastid DNA from recalcitrant wood specimens and trace evidence



Illegal logging is a global crisis with significant environmental, economic, and social consequences. Efforts to combat it call for forensic methods to determine species identity, provenance, and individual identification of wood specimens throughout the forest products supply chain. DNA-based methodologies are the only tools with the potential to answer all three questions and the only ones that can be calibrated “non-destructively” by using leaves or other plant tissue and take advantage of publicly available DNA sequence databases. Despite the potential that DNA-based methods represent for wood forensics, low DNA yield from wood remains a limiting factor because, when compared to other plant tissues, wood has few living DNA-containing cells at functional maturity, it often has PCR-inhibiting extractives, and industrial processing of wood degrades DNA. To overcome these limitations, we developed a technique—organellar microcapture—to mechanically isolate intact nuclei and plastids from wood for subsequent DNA extraction, amplification, and sequencing.


Here we demonstrate organellar microcapture wherein we remove individual nuclei from parenchyma cells in wood (fresh and aged) and leaves of Carya ovata and Tilia americana, amyloplasts from Carya wood, and chloroplasts from kale (Brassica sp.) leaf midribs. ITS (773 bp), ITS1 (350 bp), ITS2 (450 bp), and rbcL (620 bp) were amplified via polymerase chain reaction, sequenced, and heuristic searches against the NCBI database were used to confirm that recovered DNA corresponded to each taxon.


Organellar microcapture, while too labor-intensive for routine extraction of many specimens, successfully recovered intact nuclei from wood samples collected more than sixty-five years ago, plastids from fresh sapwood and leaves, and presents great potential for DNA extraction from recalcitrant plant samples such as tissues rich in secondary metabolites, old specimens (archaeological, herbarium, and xylarium specimens), or trace evidence previously considered too small for analysis.


Illegal logging is a global crisis, impacting both producer and consumer nations; it is estimated that 15 to 30 percent of traded woods are obtained illegally, contributing to deforestation, loss of biodiversity and tax revenue, increased poverty, and social conflicts [1, 2]. A robust approach to combat illegal logging requires integrating different forensic disciplines to answer questions of species identification, provenance, and individual matching [3,4,5]. Agility in the development of wood forensic technologies is necessary as the list of threatened species is ever-changing as commonly used species become scarce and new species are logged to replace them [6].

The state-of-the-art forensic analysis of wood remains traditional wood anatomy, despite its comparatively coarse taxonomic (typically generic) and geographic (often limited to hemispheric or continental) resolution [7], the restricted nature of such expertise [8], and the time consuming nature of wood anatomical specimen preparation protocols. Of the various available wood forensic technologies, only DNA analysis can be expected to provide identification at the species, population, and individual levels [5]. DNA-based methods also have the advantage that they are comparatively organographically insensitive to the origin of reference materials, and such material (mainly leaves) can be collected without killing an individual plant, which is less true of other methods of wood identification. The extraction of DNA from fresh plant tissues is a routine practice in plant molecular biology and systematics, but such studies almost invariably extract DNA from largely parenchymatous, mechanically soft tissues or organs of the primary plant body (e.g. leaves, developing shoots and roots).

The limiting factor for the overall development and adoption of DNA methods for wood identification is the recalcitrance of wood as a DNA source. In the living tree, most cells comprising wood are the product of programmed cell death, and thus lack nuclei and other organelles at functional maturity [9,10,11]. Additionally, in many species, the presence of extractives, secondary metabolites associated with heartwood formation, can interfere with the extraction and amplification of DNA. These chemicals are accumulated in both the living cells that synthesize them and adjacent or connected cells into which such compounds are secreted prior to and during heartwood formation [9, 12]. Lastly, as a commercial product, wood is subjected to various industrial processes (e.g., kiln-drying) that can contribute to DNA degradation [10, 12,13,14]. Thus, typical bulk extraction protocols developed for tissues with a higher proportion of living cells (i.e. leaves, flowers, green stems) are often ineffective in wood [9].

To overcome the low quantity of DNA in wood, many groups have modified their protocols by increasing lysis time [15], attempting to bind polymerase chain reaction (PCR)- limiting chemicals [12, 16], and/or repeating DNA cleaning and concentrating steps [17], in an effort to ensure sufficient quantity and quality of template DNA for PCR amplification. While many authors report success with these methods, they can require comparatively large amounts of sample material and many (often costly) steps to process and purify DNA, thus reducing the types of wood specimens (e.g. trace forensic evidence, cultural property) from which one might expect to extract DNA. It is therefore desirable to develop DNA extraction protocols for wood that are effective for small specimens.

Single-cell sequencing has become an essential tool in medicine, allowing researchers to perform preimplantation genetic diagnosis on human oocytes and embryos produced in vitro [18]. Similar approaches have been developed for cell-specific analysis of plant tissues as well. Karrer et al. [19] developed a method to mechanically puncture fresh, unfixed plant cells with primary walls and aspirate the cell contents for rt-PCR evaluation of mRNA associated with a proton-ATPase, and, importantly, identify a Monte Carlo effect of such small extraction on the likelihood that they recover mRNAs of interest. Kooliyottil et al. [20] used a similar aspiration technique in fresh potato roots to study transcriptional events associated with nematode infection. Subsequent studies employing laser-capture microdissection (LCM) on either fixed and cryotomed [21, 22] or fixed and embedded [23] plant tissue have also achieved tissue- or cell-specific results in plants, typically with organs or tissues from the primary plant body and with primary cell walls, though Blokhina et al. [24] used LCM to study the mRNAs associated with wood formation and cell maturation in cell assemblages in Picea abies and Populus tremula.

For the purposes of extracting DNA from mature wood for wood identification, an adaptation of the single-cell approach focusing on parenchyma cells could help overcome at least two of the limitations of wood as a substrate. By targeting a single parenchyma cell, focus is placed only on those cells that have DNA available for extraction, thereby reducing the quantity of secondary metabolites. The introduction of PCR-inhibiting secondary compounds can be further reduced by targeting only DNA-containing organelles of interest (e.g. nuclei or plastids) instead of removing the whole cell, thus increasing the amount of DNA per volume or dry mass.

In this study, we report a method, organellar microcapture, to mechanically extract intact nuclei and plastids from parenchyma cells in wood and leaves. We then employ the “spanning” lysis buffer initially developed by Tsuchiya et al. [18] for extracting DNA from single human blastomere cells and demonstrate that adapting single-cell methods can facilitate the extraction and amplification of DNA from nuclei and plastids in wood. We further discuss how this technique could make possible DNA-based forensic analysis of trace botanical evidence or other specimens heretofore considered too small or valuable to process for traditional DNA extraction.


Micromanipulation and microcapture

The use of DAPI—4ʹ-6-diamidino-2-phenylindole—allowed easy visualization of intact nuclei during the microcapture process (Fig. 1), and further helped make a subjective inference of nucleus integrity. PCR was often successful with intact nuclei (as seen in Fig. 2A), but when the nuclear envelope was apparently disrupted and the fluorescent chromatin was more dispersed (Fig. 2B), PCR was less frequently successful or failed outright for nuclear microcapture in all taxa studied. Amyloplasts in Carya wood and chloroplasts in Brassica leaf midribs did not require DAPI for organelle visualization (Fig. 3).

Fig. 1
figure 1

Visualization of organellar microcapture in Carya ovata under transmitted light (A, C) and fluorescence microscopy (B, D). A An empty micropipette prior to insertion into the target parenchyma cell—note that the amyloplasts (a) in the target cell and adjacent cells are readily visible, but the nucleus (arrow) is less distinctly resolvable. B The same frame as A, with the DAPI-stained target nucleus (arrow) easily discernible, and the parenchyma cell walls exhibiting lignin autofluorescence. C Amyloplasts and the target nucleus successfully aspirated into the micropipette. D The same frame as C, confirming that the nucleus is among the captured organelles. Scale bars 20 µ

Fig. 2
figure 2

Radial sections (A, B) in DAPI-stained Picea sp. Fluorescent micrographs of intact nuclei (A) and dispersed chromatin (B) presumably as a result of disruption of the nuclear envelope. Scale bars 30 µm

Fig. 3
figure 3

Radial sections (A, B, Carya wood) and longitudinal sections (C, D, Brassica leaf midrib cortical tissue) showing plastids. Amyloplasts are abundant in the ray parenchyma cells (A), and in B a plastid (arrow) is about to be aspirated into the tip of the pipette. Abundant chloroplasts (C) in a slightly plasmolyzed cell (arrow) are aspirated to the pipette tip (D), recovering the entire protoplast, ensuring a high copy number of plastids for PCR. Scale bars 50 µm in A, B, and 100 µm in C, D

In Tilia americana, the nuclei were typically surrounded by a viscous material that in some cases would allow the removal of the nucleus with a thinner pipette tip used as a probe without aspiration. By contrast, in Carya ovata, it was typically necessary to dislodge the nucleus mechanically with a thinner simple pipette tip before aspirating it with a microcapture pipette. It was not possible to confirm visually the transfer of nuclei to the PCR tubes.

DNA polymerase chain reaction (PCR)

PCR products for all regions in both taxa were of the expected sizes, based on the primers used. PCR products from single nuclei from C. ovata and T. americana are shown in Additional file 1: Figure S1. Internal transcribed spacer—ITS bands were ~ 770 bp, ITS1 ~ 350 bp, and ITS2 ~ 450 bp.

Sequencing and amplicon verification

Table 1 presents the results of our organellar microcapture protocol in leaves and wood. To ensure the recovered amplicons corresponded to the taxon of origin, heuristic (BLAST—basic local alignment search tool) searches of the sequences were performed against the National Center for Biotechnology Information—NCBI nucleotide database. Organellar microcapture of single nuclei produced successful PCR amplifications and identifiable ITS, ITS1, and ITS2 sequences at the species level for C. ovata and T. americana. Note that the taxonomy of the GenBank accession does not conform to World Flora Online [25] for Tilia heterophylla which is actually a synonym of T. americana subsp. heterophylla, and where T. caroliniana subsp. heterophylla is not recognized as a valid scientific name. With respect to this study, recovering generic accuracy is sufficient to demonstrate that the microcaptured organelle was recovered from the taxon of interest. We make no claim that the loci we amplified (ITS, ITS1, ITS2, rbcL) are sufficient for specific identification, but they do suffice for generic confirmation.

Table 1 GenBank (genetic sequence database) accession number for the most similar sequence to the amplicon and the corresponding E-value. Note the taxonomy for Tilia in GenBank is not congruent with the accepted taxonomy for the genus


Micromanipulation and microcapture

Carya ovata and Tilia americana are angiosperms with moderate amounts of axial and ray parenchyma. Having demonstrated the efficacy of nuclear microcapture in hardwoods and a softwood (see Additional file 1 for a test of the method with Picea) spanning low, medium, and high densities with varying ray widths and overall proportions of parenchyma, we expect that this method will be effective for other woods, especially those with more abundant parenchyma, such as Ficus spp., or wider rays such as Quercus spp. any time an intact nucleus is present and visualizable. We demonstrated plastid microcapture in Carya sapwood and chloroplast microcapture in Brassica leaf midribs, thus showing that organellar microcapture can be performed when the target organelle, whether nucleus or plastid, is resolvable with the light microscope.

Based on both taxa explored here, the relative ease of, and thus time required for, organellar microcapture varies according to taxon-specific traits. In C. ovata, the nuclei were usually adhered to the cell wall (peripheral position), making further manipulation necessary to retrieve them and consequently requiring more time for microcapture. The nuclei of T. americana were typically surrounded by a viscous substance that made initial removal easier and faster (around 15 min to extract one nucleus with comparatively little manipulation), but that later appeared to hinder downstream PCR reactions when multiple nuclei were pooled in a single PCR tube (data not shown), though single-nucleus amplification of T. americana was successful. Evert & Murmanis [26] reported the presence of tannins, phenolic compounds which have been previously reported as PCR inhibitors [27, 28], in T. americana wood parenchyma cells. By contrast, the entire protoplast was readily aspirated from Brassica yielding an entire cell complement of plastids—this microcapture required only a matter of 2–3 min.

Microcapture can be made more challenging by cell contents that mechanically impede the aspiration of the organelle. This matter will doubtless be a taxon-specific problem, as observed in T. americana, and calls for further research and methodological enhancements, such as using a micropipette to introduce small volumes of solvents or surfactants that could loosen the target organelle without damaging the organellar envelope and the DNA therein. An additional concern is the relative presenting dimension of the organelle, the inner dimension of the cell in which the organelle is located, and the outer and inner diameters of the pipette. If the organelle is of the same size as the inner dimension of the cell wall, it is not possible to fabricate a pipette with an outer diameter narrow enough to enter the cell, but an inner diameter sufficiently large to fully aspirate the organelle. In such cases, mechanically dislodging the organelle and then aspirating it to the tip of the pipette (somewhat analogous to a whole-cell patch-clamp configuration) can suffice to effect organellar microcapture.

Organelle integrity

Cell maturation for most cell types in secondary xylem involves the deposition of a secondary cell wall, lignification, and programmed cell death, resulting in the absence of organelles. Wood parenchyma cells retain their organelles and remain viable for several to many years in the living tree [29] and nuclear morphology is one of the features employed to infer cell aging processes. Ray parenchyma vitality has been expressed by different indices over the years, including the Nuclear Slenderness ratio (NSR) [30] and the Nuclear Elongation Index (NEI) [31]; in general, these ratios progressively decrease from the outer sapwood to the inner sapwood. Nakaba [32] observed the distribution of cell death in ray parenchyma cells in Abies sachalinensis and inferred that the location of a specific radial cell line controls cell maturation and function in a given ray.

In our work, we observed that the microscopic anatomy of the organelle (especially for nuclei) was an important predictor of successful DNA amplification. When we captured chromatin not surrounded by a nuclear envelope, poor to no PCR amplification resulted in all taxa studied, indicating that, in this subjective evaluation of organellar integrity, the technique can only be expected to be successful when one can visualize and extract intact organelles, even from aged wood (see Additional file 1 for results from a 102 year old specimen of Carya ovata). We thus presume that DNA obtained from intact nuclei is undamaged relative to its condition in situ prior to microcapture. That is, mechanically capturing a microscopically intact organelle and transferring it to a PCR tube induces the least possible damage to the DNA that we can achieve at this time and therefore represents one method to ensure the minimum possible isolation-induced degradation of DNA quality.

Nuclear envelope lysis, DNA extraction, and PCR with microcaptured nuclei

Tsuchiya et al. [18] discussed possible reasons for amplification failure from single human cells beyond flawed oligonucleotide primer design, which included failure to transfer the cell, incomplete membrane lysis, ineffective release of DNA from proteins, and degradation or loss of the target sequence.

The transfer of each single organelle into Tsuchiya’s lysis buffer is a step that we could not verify by direct observation, but when PCR amplification was successful and we recovered a BLAST result consistent with the genus of the taxon in question, we considered that the transfer was accomplished. We replicated our procedure three times for each combination of species, plant material, and DNA locus. We recovered positive amplification results in at least one of the replicates, indicating that the PCR was successful, that the organelle was successfully transferred, and lysis and amplification were effective.

Plant DNA extraction kits were developed to overcome the inherent challenges that fresh plant tissues present, such as tannins, phenolic compounds, and complex polysaccharides that can affect DNA quality and inhibit PCR reactions, and typically have focused on leaves as the plant organs most likely to be extracted. However, the methods used for leaves must be adapted for woody tissues because of the lower quantity of DNA, the presence of secondary metabolites, the mechanically tougher lignified cell walls that can be problematic to disrupt, and the likelihood of DNA degradation associated with industrial processing of wood as a material for human use.

Standard DNA extraction kits for plants call for roughly 100 mg to 400 mg of ground tissue for leaves, but leaves have proportionally many more DNA-containing cells than wood. For instance, a leaf can be composed of more than 60% of parenchyma cells and as little as 1% of vascular tissue [33] whereas the proportion of parenchyma cells in wood, although variable, can be as low as 5% [34]. To compensate for this disadvantage, an a priori solution would be to increase the amount of wood in an extraction to increase the DNA yield. However, increasing the amount of wood will also increase the number of cells lacking DNA that may nonetheless release PCR-inhibiting compounds. Similarly, one might expect that increasing the time for lysis might ensure the extraction of all available DNA, but research [15] has shown that simply increasing the amount of wood and/or the time of lysis does not necessarily improve DNA yield. By contrast, the highly targeted capture of single (nuclei) or one to many (plastids) organelles from wood parenchyma cells shown in this study yields reliable results, presumably by excluding most cellular metabolites (primary and secondary) without requiring additional mechanical or chemical processing.

For DNA bulk extraction from leaves we used the Wizard Genomic DNA Purification Kit (Promega, Madison, WI) that required at least 14 steps to extract DNA from plant cells. Kemp et al. [35] state that the manipulation of DNA in traditional DNA extraction methods using commercial kits will result in DNA loss in all steps from extraction to purification. In Tsuchiya et al.’s “spanning protocol,” the only step is to add the nucleus into the lysis buffer and freeze. The resulting solution can be directly used as template for PCR, reducing manipulation mistakes and DNA loss noted by Kemp et al. [35].

Potential broader applications of organellar microcapture in wood and other plant collections

In addition to its use for recalcitrant specimens in the context of illegal logging, organellar microcapture has the potential to enable the DNA-based characterization of a wide range of previously inaccessible plant materials, because most kits marketed for DNA extraction of plants call for several hundred cells or more of starting material, making it prohibitive when samples are small, degraded, or irreplaceable. Thus any small specimen, whether trace evidence from a crime that would otherwise be expected to yield low DNA quality or quantity [36], or a tiny sample from cultural property (e.g. the wooden cultural patrimony of the Taíno people) [37, 38] might be a source of usable DNA for identification with minimal impact on the integrity of the parent wooden item.

In a similar vein, wood specimens in scientific wood collections may represent one of the only remaining caches of the genetic heritage of now-extirpated populations [39]. Index Xylariorum 4.1 [40] lists approximately 180 xylaria around the world, comprising a substantial number of wood specimens, making these collections valuable resources for accessing genomic information from potentially extinct or extirpated populations. With our technique, picogram quantities of wood from xylaria or leaves from herbaria have the potential to inform the scientific community about targeted genetic characteristics of now-lost genotypes, populations, and perhaps even species.


Overview of the organellar microcapture protocol

Figure 4 presents a schematic overview of our organellar microcapture protocol comprising seven steps. Details of each step are presented below. Sections (~ 15–25 µm) of wood and leaves were prepared and stained (for nuclei isolation) (step 1) with 0.2% aqueous 4ʹ-6-diamidino-2-phenylindole (DAPI), and visualized with transmitted light and fluorescence microscopy, whereas for plastids DAPI was not required and transmitted light microscopy was sufficient (step 2). At optical microscopy resolutions and magnifications, only nuclei and larger plastids such as chloroplasts and amyloplasts can be resolved individually, the latter of which are sometimes found in sapwood. A micromanipulator was employed to maneuver a pipette to capture the organelles of interest mechanically (adhesion to the pipette) or by aspiration (step 3). The captured organelles were transferred to a PCR tube (step 4) with lysis buffer and then PCR was carried out (step 5). The PCR product was sequenced (step 6), then the resulting sequence was submitted for a BLAST search to confirm that the PCR product corresponded to the taxon from which the organelle was captured.

Fig. 4
figure 4

Schematic overview of organellar microcapture protocol

Taxon sampling

We selected two angiosperms to develop and test our method in wood: Carya ovata (Mill.) K. Koch (Juglandaceae), a medium- to high-density ring-porous hardwood. Fresh samples were obtained from the sapwood of a 255 mm diameter log collected in Richland Center, Wisconsin, on November 04, 2015.

Tilia americana L. (Malvaceae), a low-density diffuse-porous hardwood. Fresh samples were obtained from the sapwood of a 300 mm diameter log, collected in Richland Center, Wisconsin, on November 04, 2015.

The logs from the two species were wrapped with clear polyvinylidene chloride and stored at -18ºC at the USDA Forest Products Laboratory-Madison.

To assess the applicability of the method in aged wood, we tested samples of Carya ovata and Tilia americana retrieved from the Forest Products Laboratory-Madison Wood Collection—MADw. The samples were collected and stored in the xylarium for over 60 years with no specialized preservation method (Table 2).

Table 2 Specimens used in this study

Organellar microcapture was also employed on fresh leaves of C. ovata and T. americana, collected on the University of Wisconsin-Madison campus, and in leaves of kale (Brassica sp.) purchased at a local supermarket (Table 2).

Similarly, we tested the microcapture technique on a softwood and on more ancient wood. In Additional file 1 we show preliminary data on Picea sp., a gymnosperm, and a 102 year old sample of Carya ovata.

Sample preparation

Wood: 15 mm sapwood blocks were cut from the specimens. The exposed radial surface was removed with a sliding microtome knife previously cleaned with UltraClean Lab Cleaner (MOBIO Laboratories, Inc, CA, USA), then 15 µm thick radial sections were cut on a sliding microtome, trimmed with a razor blade cleaned as above, and treated with DAPI prior to imaging and microcapture for nuclei, but for amyloplasts from the fresh sapwood of Carya, DAPI was not required or used. Leaves: longitudinal hand sections close to the midrib were made and treated with DAPI prior to imaging and microcapture for Carya and Tilia. In Brassica leaves, longitudinal hand sections of the cortical parenchyma of the midrib were made – no DAPI was employed or needed to visualize chloroplasts.

Micromanipulation and microcapture

We modified the protocol described in Zelinka [41] to convert the apparatus from a probing to an aspiration configuration. Micropipettes were pulled from a void quartz capillary (1 mm O.D. 0.7 mm I.D.) using a programmable laser micro pipette puller [42] using a standard program (Parameters: Heat: 800 Filament: 5 Velocity:60 Delay: 150 Pull: 175). The geometry of the aspiration micropipettes consisted of evenly tapering walls at the base, which transitioned into long parallel walls ending in a 90-degree angle blunt tip. To create the tip a glass-on-glass score-and-break technique was applied to each pipette, as described in Sutter Instrument [42]. The inner diameter was measured, and the pipettes were sorted in pipette boxes by inner diameter (to scale with the diameter of the nuclei for extraction).

As described in Zelinka [41], the micromanipulation system consisted of an inverted microscope (Leica DMI 6000) with a motorized mechanical stage (Leica STP 6000 controlling a Marzhauser EK 127 × 83), a computer controlled three-axis micromanipulator (Sutter Instruments, MPC-200, Novato, CA) and a digital microinjector (XenoWorks BRE Sutter Instruments, MPC-200, Novato, CA). The microscope was fitted with a Grasshopper Express 2.8 MP camera (Point Grey Research, Richmond, BC, Canada) for imaging.

The wood radial sections treated with DAPI were placed on a coverslip (35 × 50 × 1 mm) with DNA-free water to keep them hydrated. For single nucleus extraction, the transfer pressure for microinjection was set to + 80 hPa, and the micropipette was lowered into the liquid. The micropipette was placed next to a ray cell with the lumen exposed (either by sectioning or by trimming with the razor blade), and the nucleus was aspirated into the pipette or held at the tip by lowering the initial pressure as much as needed (down to − 172 hPa) (Fig. 1). The micropipette tip was then dipped into a 0.1 ml PCR tube containing 5 μl of lysis buffer [18], and the nucleus was expelled by increasing the pressure (up to 172 hPa). For leaf longitudinal sections, the same procedure was followed, but instead of targeting ray parenchyma cells, nuclei were aspirated from any open parenchyma cell.

Nuclear membrane lysis and DNA extraction from microcaptured nuclei

We used the lysis buffer initially developed by Tsuchiya et al. [18] for DNA extraction from single cell human lymphocytes and blastomeres [18]. The lysis buffer was composed of 1 µl H2O, 1 µl polyadenylic acid (250 ng/µl), 1 µl EDTA (10 mM), 1 µl dithiothreitol solution (250 mM), and 1 µl N-lauroylsarcosine salt solution (0.5%).

We amplified each region of ITS (ITS, ITS1, ITS2, and rbcL) separately. For each region, we prepared three replicates and added one nucleus to each tube containing 5 µl of cell lysis buffer, totaling nine separate tubes with nuclei captured from wood and nine separate tubes with nuclei captured from leaves, as well as bulk DNA extracted from leaves.

Bulk leaf DNA extraction

Genomic DNA was isolated from fresh leaves of C. ovata and T. americana using the Wizard Genomic DNA Purification Kit (Promega, Madison, WI), following the manufacturer’s instructions for plant tissue. We used 20 mg of fresh leaves ground to a powder after freezing in liquid nitrogen.

DNA polymerase chain reaction (PCR)

For nuclear microcapture in C. ovata and T. americana the internal transcribed spacer (ITS) and the smaller ITS1, and ITS2 regions were chosen because they are well-sampled across the plant kingdom, with similar logic for the selection of rbcL for plastid microcapture. Plant specific primers for ITS, ITS1 and ITS2 were employed following the designs by Cheng [43] (Table 3). rcbL primers were designed in the NCBI Primer-BLAST tool using the submission tab “primers common for a group of sequences.” The forward and reverse primers were designed using the following target sequences: Brassica (accession M88342.1), Carya (accession L12637.2), Hevea (accession AB267943), and Daucus (accession KM360751.1). All ITS PCR reactions were carried out in 25 μl of a reaction mixture containing 5 μl of template DNA (whole volume from the spanning protocol), 5 μl of 5 × Go Taq® buffer (Promega, Madison, USA), 0.4 μl of MgCl2 (25 mM—Thermo Scientific), 1 μl of Bovine Serum Albumin (BSA)(1.25ug/μl), 0.5 μl of dNTP mix (Promega, Madison, USA), 5 μl of each primer (1.0 μM—Custom DNA Oligos Invitrogen), 0.125 μl of GoTaq® DNA Polymerase (Promega, Madison, USA), and 11.975 μl of H2O. All PCR reactions were carried out in a DNA thermal cycler (Vapo-Protect, Eppendorf, Germany). For ITS and ITS1, PCR cycles consisted of an initial 2-min denaturation step at 95 ºC, followed by 40 cycles denaturation at 95 ºC (20 s), annealing at 49 ºC (40 s), and elongation at 72 ºC (60 s); then a final 5-min elongation step at 72 ºC. For ITS 2, all the parameters were the same except the annealing temperature was 55 ºC. For rbcL, PCR reactions were carried out in 25 μl of a reaction mixture containing 5 μl of template DNA (whole volume from the spanning protocol), 5 μl of 5 × Go Taq® buffer (Promega, Madison, USA), 0.5 μl of dNTP mix (Promega, Madison, USA), 5 μl of each primer (1.0 μM—Custom DNA Oligos Invitrogen), 0.125 μl of GoTaq® DNA Polymerase (Promega, Madison, USA), and H2O to bring the volume to 25 μl. All PCR reactions were carried out in a DNA thermal cycler (Vapo-Protect, Eppendorf, Germany). rbcL PCR cycles consisted of an initial 5-min denaturation step at 94 ºC, followed by 50 cycles denaturation at 94 ºC (20 s), annealing at 55 ºC (40 s), and elongation at 72 ºC (60 s); then a final 5-min elongation step at 72 ºC. A ramp rate of 10% was applied after the annealing step.

Table 3 ITS primer sequences developed by Cheng et al. (2016) [43] and rbcL primer sequences developed for this study from rbcL sequence data in GenBank

Negative controls (reaction mixture with the addition of an equal volume of DNA-free water as template DNA) were included to ensure the reagents were not contaminated. Three microliters of each PCR product were run in a 1% agarose gel with 0.1 μl/ml SYBR™ Safe DNA Gel Stain (Invitrogen™, CA) alongside a 100-bp DNA ladder (Promega, Madison, USA). Gels were visualized using SmartBlue™ Blue Light Transilluminator (Accuris Instruments, NJ), and bands of the expected size were recorded as positive amplicons.


The amplification products were purified and sequenced by the Biotechnology Center of the University of Wisconsin-Madison and submitted to run on an ABI 3130xl DNA Analyzer. Alignment and editing of the retrieved sequences were performed in Geneious 11.0.4. (Biomatters Ltd., Auckland, New Zealand). The forward and reverse sequences were aligned into single contigs using the pairwise Geneious Alignment algorithm with default parameters and then manually inspected and trimmed before producing the consensus sequences. To confirm that the obtained sequences were not the result of contamination, we conducted a heuristic search (BLAST) [44] to verify the identity of the consensus sequences.

Availability of data and materials

All data and material generated or analyzed during this study are included in this published article.



Basic local alignment search tool




Ethylenediaminetetraacetic acid


Internal transcribed spacer


National Center for Biotechnology Information


Nuclear elongation index


Nuclear slenderness ratio


Polymerase chain reaction


United States Department of Agriculture


  1. Magrath W, Younger P, Phan H. Chainsaw project. An Interpol perspective on law enforcement in illegal logging. Washington. Lyon: Interpol and Washington, DC: World Bank. 2009.

  2. Nellemann C. Interpol Environmental Crime Programme, editors. Green Carbon, Black Trade: Illegal Logging, Tax Fraud and Laundering in the Worlds Tropical Forests. A Rapid Response Assessment. United Nations Environment Programme, GRID—Arendal. 2012.

  3. Irwin A. Cops and loggers, innovative technologies could turn the tide on illegal logging. Nature. 2019;568:19–21.

    Article  CAS  PubMed  Google Scholar 

  4. Dormontt EE, Boner M, Braun B, Breulmann G, Degen B, Espinoza E, et al. Forensic timber identification: it’s time to integrate disciplines to combat illegal logging. Biol Cons. 2015;191:790–8.

    Article  Google Scholar 

  5. Lowe AJ, Dormontt EE, Bowie MJ, Degen B, Gardner S, Thomas D, et al. Opportunities for improved transparency in the timber trade through scientific verification. Bioscience. 2016;66(11):990–8.

    Article  Google Scholar 

  6. Karsenty A, Gourlet-Fleury S. Assessing sustainability of logging practices in the Congo Basin’s managed forests: the issue of commercial species recovery. Ecol Soc. 2006;11(1):26.

    Article  Google Scholar 

  7. Gasson P. How precise can wood identification be? Wood anatomy’s role in support of the legal timber trade, especially CITES. IAWA J. 2011;32(2):137–54.

    Article  Google Scholar 

  8. Wiedenhoeft AC, Simeone J, Smith A, Parker-Forney M, Soares R, Fishman A. Fraud and misrepresentation in retail forest products exceeds U.S. Forensic wood science capacity. PLoS ONE. 2019;14(7):1–13.

    Article  Google Scholar 

  9. Deguilloux MF, Pemonge MH, Petit RJ. Novel perspectives in wood certification and forensics: dry wood as a source of DNA. Proc R Soc Lond. 2002;269(1495):1039–46.

    Article  CAS  Google Scholar 

  10. Jiao L, Yin Y, Xiao F, Sun Q, Song K, Jiang X. Comparative analysis of two DNA extraction protocols from fresh and dried wood of Cunninghamia lanceolata (Taxodiaceae). IAWA J. 2012;33(4):441–56.

    Article  Google Scholar 

  11. Zhang R, Xu K, Ye K. Concentration and distribution of nuclei and plastids in xylem cells in Cunninghamia lanceolata and Aquilaria sinensis. BioResources. 2015;10(1):1304–17.

    Google Scholar 

  12. Rachmayanti Y, Leinemann L, Gailing O, Finkeldey R. DNA from processed and unprocessed wood: factors influencing the isolation success. Forensic Sci Int Genet. 2009;3(3):185–92.

    Article  CAS  PubMed  Google Scholar 

  13. Jiao L, Yin Y, Jiang X. DNA barcoding for identification of the endangered species Aquilaria sinensis: comparison of data from heated or aged wood samples. Holzforschung. 2014;68(4):487–94.

    Article  CAS  Google Scholar 

  14. Höltken AM, Schröder H, Wischnewski N, Degen B, Magel E, Fladung M. Development of DNA-based methods to identify CITES-protected timber species: a case study in the Meliaceae family. Holzforschung. 2012;66(1):97–104.

    Google Scholar 

  15. Lu Y, Jiao L, He T, Zhang Y, Jiang X, Yin Y. An optimized DNA extraction protocol for wood DNA barcoding of Pterocarpus erinaceus. IAWA J. 2020;41(4):644–59.

    Article  Google Scholar 

  16. Lowe AJ, Cross HB. The application of DNA methods to timber tracking and origin verification. IAWA J. 2011;32(2):251–62.

    Article  Google Scholar 

  17. Lendvay B, Hartmann M, Brodbeck S, Nievergelt D, Reinig F, Zoller S, et al. Improved recovery of ancient DNA from subfossil wood - application to the world’s oldest Late Glacial pine forest. New Phytol. 2018;217:1737–48.

    Article  CAS  PubMed  Google Scholar 

  18. Tsuchiya S, Sueoka K, Matsuda N, Tanigaki R, Asada H, Hashiba T, et al. The “spanning protocol”: a new DNA extraction method for efficient single-cell genetic diagnosis. J Assist Reprod Genet. 2005;22(11–12):407–14.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Karrer EE, Lincoln JE, Hogenhout S, Bennett AB, Bostock RM, Martineau B, et al. In situ isolation of mRNA from individual plant cells: creation of cell-specific cDNA libraries. Proc Natl Acad Sci USA. 1995;92(9):3814–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Kooliyottil R, Dandurand LM, Kuhl JC, Caplan A, Xiao F. Microaspiration of Solanum tuberosum root cells at early stages of infection by Globodera pallida. Plant Methods. 2017;13(1):1–9.

    Article  Google Scholar 

  21. Asano T, Masumura T, Kusano H, Kikuchi S, Kurita A, Shimada H, et al. Construction of a specialized cDNA library from plant cells isolated by laser capture microdissection: toward comprehensive analysis of the genes expressed in the rice phloem. Plant J. 2002;32(3):401–8.

    Article  CAS  PubMed  Google Scholar 

  22. Nakazono M, Qiu F, Borsuk LA, Schnable PS. Laser-capture microdissection, a tool for the global analysis of gene expression in specific plant cell types: identification of genes expressed differentially in epidermal cells or vascular tissues of maize. Plant Cell. 2003;15(3):583–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Choe G, Hoang NV, Lee J-Y. An optimized protocol of laser capture microdissection for tissue-specific RNA profiling in a radish tap root. STAR Protoc. 2020;1(3):1–14.

    Article  Google Scholar 

  24. Blokhina O, Valerio C, Sokolowska K, Zhao L, Kärkönen A, Niittylä T, et al. Laser capture microdissection protocol for xylem tissues of woody plants. Front Plant Sci. 2017;7(1):1–14.

    Google Scholar 

  25. WFO (2022): World Flora Online. Published on the Internet. Accessed 07 Mar 2022.

  26. Evert RF, Murmanis L. Ultrastructure of the secondary phloem of Tilia Americana. Am J Bot. 1965;52(1):95–106.

    Article  Google Scholar 

  27. Garland S, Baker A, Phillott AD, Skerratt LF. BSA reduces inhibition in a TaqMan® assay for the detection of Batrachochytrium dendrobatidis. Dis Aquat Org. 2010;92(2–3):113–6.

    Google Scholar 

  28. Schrader C, Schielke A, Ellerbroek L, Johne R. PCR inhibitors—occurrence, properties and removal. J Appl Microbiol. 2012;113(5):1014–26.

    Article  CAS  PubMed  Google Scholar 

  29. Bollhöner B, Prestele J, Tuominen H. Xylem cell death: emerging understanding of regulation and function. J Exp Bot. 2012;63(3):1081–94.

    Article  PubMed  Google Scholar 

  30. Frey-Wyssling A, Bosshard HH. Cytology of the ray cells in sapwood and heartwood. Holzforschung. 1959;13(November):129–37.

    Article  CAS  Google Scholar 

  31. Yang KC. A proposal for a new indicator for expressing the metabolic activity of living sapwood ray parenchyma cells. IAWA J. 1986;7(1):17–20.

    Article  Google Scholar 

  32. Nakaba S, Sano Y, Kubo T, Funada R. The positional distribution of cell death of ray parenchyma in a conifer Abies sachalinensis. Plant Cell Reports. 2006;25(11):1143–8.

    Article  CAS  PubMed  Google Scholar 

  33. Winter H, Robinson DG, Heldt HW. Subcellular volumes and metabolite concentrations in spinach leaves. Planta. 1994;193(4):530–5.

    Article  CAS  Google Scholar 

  34. Spicer R. Symplasmic networks in secondary vascular tissues: parenchyma distribution and activity supporting long-distance transport. J Exp Bot. 2014;65(7):1829–48.

    Article  CAS  PubMed  Google Scholar 

  35. Kemp BM, Winters M, Monroe C, Barta JL. How much DNA is lost? measuring DNA loss of short-tandem-repeat length fragments targeted by the powerplex 16® system using the qiagen minelute purification kit. Hum Biol. 2014;86(4):313–29.

    Article  PubMed  Google Scholar 

  36. Nybom H, Weising K, Rotter B. DNA fingerprinting in botany past, present, future. Investig Genet. 2014;5:1–35.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Ostapkowicz J, Wiedenhoeft A, Bronk C, Ribechini E, Wilson S, Brock F, et al. ‘Treasures of black wood, brilliantly polished’: five examples of Taíno sculpture from the tenth–sixteenth century Caribbean. Antiquity. 2011;85(329):942–59.

    Article  Google Scholar 

  38. Ostapkowicz J, Roberts A, Thistlewood J, Brock F, Wiedenhoeft AC, Snoeck C, et al. The origin of Tradescant’s “India occidentali” wooden clubs: 14C dating, material identification and strontium isotope studies. Antiqu J. 2018;98:187–218.

    Article  Google Scholar 

  39. Wiedenhoeft AC. Curating xylaria. In: Salick J, Konchar K, Nesbitt M, editors. Curating Biocultural collections: a handbook. Richmond: Royal Botanic Gardens; 2012. p. 127–34.

    Google Scholar 

  40. Lynch AH, Gasson PE, Lens F. Index Xylariorum 4.1. 2010-onwards.

  41. Zelinka SL, Bourne KJ, Hermanson JC, Glass S, Costa A, Wiedenhoeft AC. Force-displacement measurements of earlywood bordered pits using a mesomechanical tester. Plant, Cell Environ. 2015;38(10):2088–97.

    Article  Google Scholar 

  42. Oesterle A. Pipette Cookbook 2015: P-97 & P-1000 Micropipette Pullers. Rev E Oesterle A, editor. Novato: Sutter Instrument Company. 2015. p 100.

  43. Cheng T, Xu C, Lei L, Li C, Zhang Y, Zhou S. Barcoding the kingdom Plantae: New PCR primers for ITS regions of plants with improved universality and specificity. Mol Ecol Resour. 2016;16(1):138–49.

    Article  CAS  PubMed  Google Scholar 

  44. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215(3):403–10.

    Article  CAS  PubMed  Google Scholar 

Download references


Special thanks to Richard Soares and Serena Rodrigues for assistance with sectioning the wood specimens, Carl Houtman for collecting the wood samples, and Sam Zelinka for enthusiastic Stump öch Boles conversations about the idea, and the long-term loan of the pipette puller.


This work was supported in part by a grant from the US Department of State via Interagency Agreement number 19318814Y0010.

Author information

Authors and Affiliations



AC, GG, TH, AB, and ACW carried out the experiments and data analysis. AC, GG, and ACW wrote the paper. All authors participated in the design of the study, and revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Alex C. Wiedenhoeft.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1

: Figure S1. PCR products of microcaptured nuclei from Carya ovata and Tilia americana. L, Leaf; FS, Fresh Sapwood; AS, Aged Sapwood. Figure S2. Fluorescent visualization of organellar microcapture in DAPI-stained Picea sp. A. A nucleus partly removed from a ray parenchyma cell. B. The nucleus from A adhered to the tip of a micropipette, and free from the cell. Scale bars 30 μm. Table S1. Material description of exploratory samples: taxon and botanical material, xylarium number (when applicable), collector name and number, recorded year of collection, and location. (L) = leaves, (FS) = fresh sapwood, (AW) = aged wood. Table S2. PCR primer sequences. 4CL primer sequences developed by Syring et al. (2005) and by our group for species-resolution study in Picea. Figure S3. Products from the first PCR of microcaptured nuclei from Carya ovata. S1, two year old frozen sapwood; S2, 102 year old stored sapwood; S3, 67 year old stored sapwood; C, negative control. Figure S4. Products from second PCR round of microcaptured nuclei from Carya ovata. S1, two year old frozen sapwood; S2, 102 year old stored sapwood; S3, 67 year old stored sapwood; C, negative control. Figure S5. PCR products of bulk leaf extraction and microcaptured nuclei from Picea sp. Table S3. BLAST search results against the GenBank database for each taxon after organellar microcapture. The GenBank accession number for the most similar sequence to the amplicon and the corresponding E value are provided.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Costa, A., Giraldo, G., Bishell, A. et al. Organellar microcapture to extract nuclear and plastid DNA from recalcitrant wood specimens and trace evidence. Plant Methods 18, 51 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: