RESEARCH
Peer reviewed scientific video journal
Video encyclopedia of advanced research methods
Visualizing science through experiment videos
EDUCATION
Video textbooks for undergraduate courses
Visual demonstrations of key scientific experiments
BUSINESS
Video textbooks for business education
OTHERS
Interactive video based quizzes for formative assessments
Products
RESEARCH
JoVE Journal
Peer reviewed scientific video journal
JoVE Encyclopedia of Experiments
Video encyclopedia of advanced research methods
EDUCATION
JoVE Core
Video textbooks for undergraduates
JoVE Science Education
Visual demonstrations of key scientific experiments
JoVE Lab Manual
Videos of experiments for undergraduate lab courses
BUSINESS
JoVE Business
Video textbooks for business education
Solutions
Language
English
Menu
Menu
Menu
Menu
Research Article
Erratum Notice
Important: There has been an erratum issued for this article. View Erratum Notice
Retraction Notice
The article Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size (LEfSe) in Microbiome Data (10.3791/61715) has been retracted by the journal upon the authors' request due to a conflict regarding the data and methodology. View Retraction Notice
Here, we illustrate step-by-step processes for phenotyping leaf and bracteal nectaries in cotton plants using images generated by digital microscopy. This is an effective method for scoring the nectaries of both leaves and bracts of cotton, as the information can be collected and preserved in the form of digital images.
Nectaries are distinct nectar-producing glands, present in many plant species. Nectaries exhibit diverse structures and functions. In cotton, traditional scoring of nectary trait is error-prone, unreliable and has limitations as phenotypes of this trait are often not visible to the naked eye. Nectary trait expressions are controlled by genes, Ne1 and/or Ne2. Additionally, trait expression can be influenced by the environment and growth stages, stressing the need for accurate scoring methods. Particularly, phenotypic scoring by digital images results in a more accurate scoring method of nectaries. This method overcomes the limitations of the traditional scoring by generating high-resolution images. Further, facilitates the identification and differentiation of fine differences of nectary trait expression while preserving these digital images for future reference. This phenotyping scoring method described here can be easily adapted to score other plant traits such as glands, hairs, and color. These scoring methods can be tailored to other plant species. In this article, we explain step-by-step procedure on how to collect samples from the field or greenhouse, dissect to observe them using digital microscopy, and preserve these images for future scoring analysis. For this method, we will use, for example, scoring of leaf and bracteal samples of cotton plants to differentiate the presence of nectaries (fully developed, reduced and vestigial) and the absence of nectaries.
Plants have specialized glands called nectaries that synthesize and produce nectar in most angiosperms, some ferns, and some gymnosperms1,2,3,4. Nectaries are classified into three types, namely mesophyllary, trichomatic, and epithelial types, based on the origin of cells that produce nectar5. Nectaries in cotton are modified stomata made up of glandular trichomes known as papillae and are ranked as trichomatic type5,6. Most of the Gossypium species have nectaries; however, the number of nectaries present in this genus differs from species to species7. Floral nectaries (FNs) are more common than extrafloral nectaries (EFNs) in plants8. These nectaries can occur anywhere on the plant except roots1,2. For instance, Gossypium hirsutum shows both floral and extrafloral nectaries9. Domestic cotton plants show three extra floral and one floral nectary10. The three extra floral nectaries are foliar, bracteal, and circumbracteal nectaries11. The foliar nectary is vegetative and is typically present on leaves on the lower side of the midrib, while bracteal and circumbracteal nectaries are reproductive and develop at the base of the bract and abaxial calyx surface. Floral nectary is associated with a flower, which develops on the adaxial (upper) surface of the calyx. This nectary trait is controlled by a single gene locus12. Studies by two independent research groups identified that the nectary trait is controlled by one gene, Ne1 of the A genome or Ne2 of the D genome, mapped to chromosomes 12 and 26, respectively12,13. This trait is only expressed in a double recessive condition, which means that only a homozygous recessive condition will express the nectariless trait.
In addition to these genes, environmental conditions and growth stages play a role in controlling the degree of expression. Therefore, there needs to be an accurate method to score this trait. The current study focuses on the phenotyping of leaf and bracteal nectaries in cotton. Plants with visible nectar-producing nectaries are scored as nectaried, while plants that lack this trait are scored as nectariless1,2,3,4. The main goal of this article is to present accurate scoring methods of the nectary trait using digital microscopy technology. Traditional scoring by direct visual observation cannot easily detect differences in the expression variation of the nectary trait in situ with the naked eye. These subtle differences in nectary trait expressions can be visualized using digital microscopy. To illustrate, in cotton leaf nectary, the scoring rubric follows a standard scale of 1-4 in which 1 represents no nectary, 2 represents a bump out on the vein phenotype, 3 represents underdeveloped pads or ridges with no nectar, and 4 represents fully formed/ complete nectaries with clear pads and ridges13. This phenotype scoring was generated utilizing digital images of the leaf nectaries [using digital images of the abaxial (lower) side of the leaf midrib]. In general, the absence of nectaries is scored as 0, but for statistical significance, the value 0 cannot be used and replaced by the value 1. Hence, the phenotyping scoring range was modified to 1-4 from the standardized classification of 0-413. The scoring rubric for flowers follows a similar scoring pattern of 1-4 in which, 1 represents nectariless, no prominent glands with no pads or ridges, 2 for obfuscated glands in which nectaries have only subtle pad markings and no nectar, 3 for poorly formed glands with faint or absent ridges and /or pads, and 4 for fully formed nectaries with nectar. This scoring pattern shows 4 for nectaried phenotypes (homozygous/heterozygous dominant for one of the genes), 3, 2 for differential expression of nectary trait as in heterozygous, and 1 for nectariless (homozygous recessive for both genes).
Likewise, flowers are collected and dissected as described step by step in this article to collect digital images for scoring bracteal nectaries. This phenotype can be visualized with the microscope for accurate scoring that can be stored in the form of digital images. In cotton, nectary traits not only attract pollinators but also attract pests that cause yield losses14. To solve this issue, breeders selected plants with no nectaries (nectariless) traits as an alternative to control pests naturally without the use of chemical pesticides9,15. Nectariless trait was originally introgressed from Gossypium tomentosum to Gossypium hirsutum (cultivated Upland cotton)8. This scoring method is especially useful for identifying the nectariless trait segregation in populations that are generated by crossing nectaried parents with nectariless parents. As a result of these crosses of diverse parents, F2 (Second Filial Generation) shows different genotypes of homozygous nectaried, heterozygous nectaried, and homozygous nectariless. Only one dominant gene is necessary for nectary trait expression, which follows the segregation ratio of 15:1 (9:3:3:1). Hence, 1 in 16 will express the nectariless trait in homozygous recessive condition with genotype ne1ne1ne2ne2. However, researchers in breeding programs observed more nectariless lines than the expected ratio of 1 in 16. This means that the nectary trait is expressed when the genes are expressed as Ne1Ne1Ne2Ne2, Ne1ne1Ne2ne2, ne1ne1Ne2Ne2, ne1ne1Ne2ne2, Ne1ne1ne2ne2, and ne1ne1ne2Ne2. The diverse pattern of nectary trait expression in such populations of homozygous nectaried (Ne1Ne1Ne2Ne2), heterozygous nectaried (Ne1ne1Ne2ne2), and homozygous nectariless (ne1ne1ne2ne2) plants can be perfectly scored by detecting the changes visualized in the digital images12,13. As heterozygous plants with reduced nectary may not show nectary trait visually and might resemble the nectariless trait with no nectary, the visual phenotyping poses challenges in the reliable selection of this trait. These issues magnify in the late growing season, where nectaries are not present in certain cotton cultivars. Differences between heterozygous plants and homozygous nectariless plants can be detected easily with digital imaging, as heterozygous plants might show small / reduced nectaries while homozygous plants completely lack this trait. Phenotypically, the presence of nectary is classified as nectaried (homozygous/heterozygous with at least one dominant gene), the presence of small or vestigial nectaries as heterozygous, and the absence of nectaries as homozygous nectariless plants. Digital image scoring reduced the inaccurate scoring of heterozygous plants as nectariless plants. Similarly, the mid-flowering stage is preferred when there is maximum trait expression. Hence, leaf and flower samples were collected at this stage to carry out these phenotyping scoring experiments for accurate and reliable scoring of nectary traits. Further, visualization of nectary traits using digital microscopy prevents/ reduces false positives of populations with no nectary traits. This phenotypic scoring of the nectary trait is also being used in mapping studies to identify DNA markers associated with nectariless trait that breeders can use for marker-assisted selection (MAS) of the nectariless trait13. This scoring technique can be extended to other plant species in addition to studying other traits such as glands, hairs, and color. Overall, digital image scoring not only resolves the problem of inaccurate nectary trait scoring by providing high resolution images but also identifies subtle expression changes and stores the digital images for future use. Cotton with nectariless trait may be used for biocontrol of pests, in addition to answering research questions on how this trait encourages beneficial insect interactions.
1. Greenhouse/field sampling of leaves (Figure 1)
2. Greenhouse/field sampling of flowers (Figure 1)
3. Digital microscope initial setup (Supplementary Figure 1)
NOTE: Other comparable microscopes can be used for digitally capturing and storing the images.
4. Leaf nectary digital imaging and scoring (Figure 2)
5. Digital imaging and scoring of the bracteal nectary (Figure 3)
Cotton plants grown in the field for 8 to 12 weeks were selected for this study. At least two technical replicates were collected for each plant per tissue type. Healthy young leaf samples are collected from the top branches with 5 to 7 cm long leaf blades. Healthy flower samples are collected from open flowers or flower buds that will open on the same day. Leaf and flower samples were collected from the field from different plant lines, and digital images were generated for both tissue types in the lab using a microscope (Figure 1). All steps were followed as described above in the procedure from sample collection to imaging (as explained in Figure 2, and Figure 3). The representative results for both leaf and bracteal nectaries typically show the absence of nectary (1), the presence of nectary with intermediate phenotypes (2, 3), and a fully developed nectaries producing nectar (4). The data generated in Figure 4 are the digital images acquired from two different cotton plants (nectaried and nectariless). Results of the digital image scoring of the leaf abaxial surface (on the lower side of the midrib) showed two phenotypes with scores 1 (with no nectaries on the midrib) and 4 (with fully developed nectary with nectar; Figure 4A,B). Similarly, when flower samples were analyzed for bracteal nectaries, they showed two phenotypes of 1 (with no nectary) and 4 (fully formed nectary producing nectar; Figure 4C,D). Ideally, both leaves and flowers collected from the same plant should follow the same pattern, which means that the nectariless leaf and nectariless flower should belong to one plant, while the nectaried leaf and nectaried flower should belong to the same plant. Figure 5 is produced by collecting digital images of both leaf and bracteal nectaries of nectaried plants at 10x, 20x, and 40x for clearly visualizing nectary traits. Further, to understand how this scoring is given in segregating F2 populations of nectaried and nectariless cotton parents, leaf tissues were collected from one of these populations, and digital images were produced for each leaf nectary sample. Selected leaf digital images corresponding to the standard format scoring of 1, 2, 3, and 4 are highlighted in Figure 613. The common and easy pattern to identify is the absence of nectary and the presence of nectary. The absence of nectary is given the lowest score, while a fully developed nectary is given the highest score of 4. The range of scores between 1 and 4, which are 2, 3, are underdeveloped and smaller than regular nectaries. This pattern can be observed in homozygous nectariless, which is 1 (absent), heterozygous condition as in 2 and 3 scores (reduced nectaries), and 4 (fully developed) nectaries. Additionally, nectaried and nectariless parental lines can be grown along with populations to compare and understand these differences.

Figure 1: Overview of leaf and bracteal nectaries visualization steps starting from sampling to digital microscopy. (A) Select mid-flowering stage cotton plants for both leaf and flower sample collection. (B) Collect leaf samples from the field for observing nectary traits on the leaf. (C) Flip the leaf so that the abaxial side of the leaf faces up and observe the nectary trait in the highlighted black box region. (D) Place the leaf on the microscope stage, and keep the focus in the highlighted black box region for recording digital images of the leaf nectary. (E) Collect flowers at the mid-flowering stage from the field (A). (F) Make an incision by placing the flower on a cutting board and incise in a straight line in the white box region in the direction of the arrow, separating the base of the flower. (G) Place the incised section on the microscope stage for digital imaging of the bracteal nectaries. Please click here to view a larger version of this figure.

Figure 2: Stepwise procedure for digital imaging and scoring of the leaf nectaries in cotton. 1. Collect leaf material from the field in labeled sample bags and place it in a cooler 2. Transport the cooler with samples to lab 3. Take out individual samples from the cooler 4. Open the individual sample bag and take out leaf 5. Cut the petiole of the leaf manually or use a blade. 6. Place the leaf on the preset microscope stage with the abaxial (lower) side facing up 7. Adjust the zoom to 10x in the computer screen VHX 600 program. Adjust coarse and fine adjustments of the microscope for the best resolution of the image. 8. Look at the computer screen for any adjustments of the image observed on the computer screen (adjust light and brightness controlled by small and large knobs by rotating these knobs, use fine and coarse buttons on the microscope for best image resolution, and turn off other lights to remove reflection, etc.) in the leaf nectary 9. Save the digital image for scoring. Dash circle around the nectary in leaf highlights the region of leaf nectary in images 8 and 9. Observe leaf nectaries under microscope at 10x (100 µm) magnification. Only one leaf nectary is observed in domestic cotton (as observed in this image). Please click here to view a larger version of this figure.

Figure 3: Stepwise procedure for digital imaging and scoring of the bracteal nectaries in cotton. 1. Collect flower samples from the field in the labeled sample bags and keep them in the cooler 2. Remove one sample from the cooler 3. Take out one flower 4. Remove Bracts manually by cutting them off away from the flower 5. Make an incision using a sterile blade by cutting along the bracteal edge in a straight line (white box shown in Figure 1 before proceeding to digital imaging of bracteal nectaries) 6. Flip the incised section 7. Place the incised section with petiole side facing up on the stage of the microscope stage 8. Make light adjustments using the light and brightness switches on the console attached to the microscope. Use coarse and fine adjustments on the microscope for collecting images with good resolution. All images are observed under a microscope at 10x (100 µm) magnification. Collect digital images for scoring the bracteal nectaries. Circles in the digital images of bracteal nectary highlights the presence of nectary, and there are 3 bracteal nectaries in domestic cotton. Please click here to view a larger version of this figure.

Figure 4: Cotton leaf nectary and bracteal nectary digital images. (A) Leaf with nectary; (B) Leaf without nectary; (C) Flower showing 3 bracteal nectaries, and (D) Flower showing no bracteal nectaries. Observe both leaf and flower nectaries under a microscope at 10x (100 µm) magnification. Dash circles show the presence and absence of nectary in leaf nectary and bracteal nectaries. Please click here to view a larger version of this figure.

Figure 5: Leaf and bracteal nectaries were zoomed at 10x, 20x, and 40x for clear identification of nectaries in digital images. (A) Collect leaf samples to observe the nectary trait on the midrib. (B) Observe the leaf nectary on the midrib under the microscope at 10x magnification. (C) Observe the leaf nectary on the midrib under the microscope at 20x magnification. (D) Observe the leaf nectary on the midrib under the microscope at 40x magnification. (E) Incise flower section for bracteal nectaries. (F) Observe bracteal nectaries under microscope at 10x magnification. (G) Observe bracteal nectaries under microscope at 20x magnification. (H) Observe bracteal nectaries under microscope at 40x magnification. Scale bars on each image represent the magnification at which the leaf nectary or bracteal nectary images were taken (as shown here as 10x, 20x, and 40x). Please click here to view a larger version of this figure.

Figure 6: Standard scoring pattern of leaf nectary following patterns of 1,2,3, and 4. (A) Leaf sample with no nectary as highlighted in the dashed circles (Score 1 for the absence of nectary). (B) The small leaf nectary observed shows a pattern of one of the heterozygous condition (dashed circle picture of nectary scored as 2). (C) Leaf nectary with score 3, another pattern of the heterozygote. (D) Fully formed nectaries with a score of 4. Scale 10x represents the magnification at which images were taken. Please click here to view a larger version of this figure.

Figure 7: Leaf nectary and bracteal nectaries without using a microscope. The figure depicts how nectaries appear with traditional scoring. This figure has been adapted from13. Please click here to view a larger version of this figure.

Figure 8: Possible genotypes of the population The figure shows genotypes of the F2 populations resulting from a cross of diverse parents, nectaried and nectariless. This table has been adapted from13. Please click here to view a larger version of this figure.
Supplementary Figure 1: Digital microscope setup. Please click here to download this File.
Supplementary Figure 2: Different number of bracteal nectaries observed. Please click here to download this File.
Nectaries are specialized glandular trichomes that produce nectar in plants for successful cross-pollination. Both vegetative and reproductive nectaries are present in plants. Gossypium genus (cotton) has more than 50 species, and the majority of them contain leaf nectaries16. However, this trait in cotton also attracts pests, leading to additional yield losses17. Breeders selected naturally existing nectariless traits (absence of nectaries) first discovered in G. tomentosum to solve this problem. For this reason, they introgressed this nectariless trait into cultivated upland cotton17. Eventually, several populations were generated by selecting nectaried and nectariless lines as parents. As homozygous nectariless and heterozygous nectariless populations do not show any differences when observed with the naked eye, there needs to be a special tool to differentiate these plants. Therefore, this scoring method by digital microscopy, as opposed to traditional scoring (as shown in Figure 7), not only visualizes reduced nectaries but also prevents inaccurate scoring of heterozygous nectariless plants as homozygous nectariless plants.
The phenotypic scoring using digital images is dependent on several key factors, such as the specific time point of sample collection, selection of the sample, use of a standard scoring scale for leaf and bracteal nectaries, possible genotype, and how the scoring data can be interpreted for downstream applications. Firstly, it is important to collect leaves and flowers during the growing season when the nectary secretion is highest, generally at mid-flower stage in July. Secondly, the selection of leaves or flowers at the right size and stage plays a critical role in phenotype scoring. For leaves, top branches with 5 to 7 cm long leaf blades were preferred for leaf nectaries scoring. Similarly for bracteal nectaries scoring, healthy flowers from top branches were chosen. Sample selection at specific developmental stages will help, even when comparing all plants within a population by excluding developmental stage-dependent trait expressions (as shown in Figure 8). To check if the scoring is repeatable, digital images were generated for at least two samples per tissue per plant. Collecting multiple replicates of the same plant helps with consistent data collection.
The possible limitation of the method is maintaining pest-free plants until sample collection. Pest infestation areas can be identified by patches of tissues or eggs laid in the tissues or damage to the nectary regions with black areas with no visual appearance of nectary because of their consumption by aphids or other insects. This was observed during the screening of hundreds of samples. In such cases, healthy leaves and flowers were collected again and analyzed for consistent data from those samples. This can be resolved by maintaining regular pest control schedules and supplementing fertilizer to achieve healthy plants. Following all the critical steps as described will help in troubleshooting for phenotype scoring.
This technique has several applications, such as mapping to identify DNA markers that help breeders identify genotypes for marker-assisted selection. This phenotype scoring requires confirmation from DNA markers because of the environmental and developmental stage influences, in addition to the genes that control this trait. Hence, phenotyping this trait using digital microscopy will be a starting point to narrow down a large number of plants from several populations to a small number of suspected nectariless lines. Using DNA markers, these lines are further validated for use in breeding programs to develop nectariless trait mediated disease resistance in newly developed varieties. This method can also help researchers understand the role of the nectary trait in plants and beneficial insect interactions.
Authors declare that there are no disclosures.
USDA is an equal opportunity provider, employer, and lender. This research work was supported by USDA-ARS project 6066-21000-053-00D. We thank Kayla Gines-Haggard and Wille Norals for critical technical assistance. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture. The findings and conclusions in this article are those of the author(s) and should not be construed to represent any official USDA or U.S. Government determination or policy here.
| Digital Microscope | Keyence VHX | VHX 600 | Other Microscopes can be used |
| Farberware cutting board | Farberware | Model no. 78892-10 | 14''L X 11''W X 0.5''Th, Any brand can be used, this one is available at amazon.com |
| Igloos Laguna small 9 QT cooler | Igloo | Part number 00043567 | Any brand/ Any size based on the project need can be used |
| Plastic bags (400 pcs), 3 X 4 inch | Aubeco brand | NA | 4''L X 3''W X 0.01''H, Any brand can be used, preferred plastic clear colored ones |
| Single Edge Razor Blades, 100 pack | Weupe | NA | Any brand can be used, this one is available at amazon.com |