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Phylogenetic trends in TZ staining analysis of six deep dormancy seeds

Published online by Cambridge University Press:  15 April 2024

Chen Yin Peng
Affiliation:
College of Forestry, Nanjing Forestry University, 159 Longpan Road, Xuanwu District, Nanjing, Jiangsu 210037, PR China Co-innovation Center for Sustainable Forestry in Southern China, Southern Tree Inspection Center National Forestry Administration, 159 Longpan Road, Xuanwu District, Nanjing, Jiangsu 210037, PR China
Yu Wu*
Affiliation:
College of Forestry, Nanjing Forestry University, 159 Longpan Road, Xuanwu District, Nanjing, Jiangsu 210037, PR China Co-innovation Center for Sustainable Forestry in Southern China, Southern Tree Inspection Center National Forestry Administration, 159 Longpan Road, Xuanwu District, Nanjing, Jiangsu 210037, PR China
Wen Hui Huang
Affiliation:
College of Forestry, Nanjing Forestry University, 159 Longpan Road, Xuanwu District, Nanjing, Jiangsu 210037, PR China
Zhi Yun Deng
Affiliation:
College of Forestry, Nanjing Forestry University, 159 Longpan Road, Xuanwu District, Nanjing, Jiangsu 210037, PR China
Xiao Rui Sun
Affiliation:
College of Forestry, Nanjing Forestry University, 159 Longpan Road, Xuanwu District, Nanjing, Jiangsu 210037, PR China
Ming Zhu Wang
Affiliation:
College of Forestry, Nanjing Forestry University, 159 Longpan Road, Xuanwu District, Nanjing, Jiangsu 210037, PR China
Hugh W. Pritchard
Affiliation:
Kunming Institute of Botany, Chinese Academy of Sciences, 132 Lanhei Road, Heilongtan, Kunming, Yunnan 650201, PR China Royal Botanic Gardens, Kew, Wakehurst, Ardingly, Haywards Heath, West Sussex RH17 6TN, UK
Yong Bao Shen*
Affiliation:
College of Forestry, Nanjing Forestry University, 159 Longpan Road, Xuanwu District, Nanjing, Jiangsu 210037, PR China Co-innovation Center for Sustainable Forestry in Southern China, Southern Tree Inspection Center National Forestry Administration, 159 Longpan Road, Xuanwu District, Nanjing, Jiangsu 210037, PR China
Jin Ya Xu
Affiliation:
Suqian Sponge City Construction Service Center, 793 Hongzehu Road, Sucheng District, Suqian, Jiangsu 223800, PR China
Xiang Yu Yu
Affiliation:
Royal Holloway, University of London, Egham Hill, Egham, Surrey TW20 0EX, UK
Cong Cong Guo
Affiliation:
School of Landscape Architecture, Jiangsu Polytechnic College Agriculture and Forestry, 19 Wenchang East Road, Jurong District, Zhenjiang City 212400, PR China
*
Corresponding authors: Yong Bao Shen; Email: ybshen@njfu.edu.cn; Yu Wu; Email: Wuyu19630116b@gmail.com
Corresponding authors: Yong Bao Shen; Email: ybshen@njfu.edu.cn; Yu Wu; Email: Wuyu19630116b@gmail.com
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Abstract

The assessment of seed quality and physiological potential is essential in seed production and crop breeding. In the process of rapid detection of seed viability using tetrazolium (TZ) staining, it is necessary to spend a lot of labour and material resources to explore the pretreatment and staining methods of hard and solid seeds with physical barriers. This study explores the TZ staining methods of six hard seeds (Tilia miqueliana, Tilia henryana, Sassafras tzumu, Prunus subhirtella, Prunus sibirica, and Juglans mandshurica) and summarizes the TZ staining conditions required for hard seeds by combining the difference in fat content between seeds and the kinship between species, thus providing a rapid viability test method for the protection of germplasm resources of endangered plants and the optimization of seed bank construction. The TZ staining of six species of hard seeds requires a staining temperature above 35 °C and a TZ solution concentration higher than 1%. Endospermic seeds require shorter staining times than exalbuminous seeds. The higher the fat content of the seeds, the lower the required incubation temperature and TZ concentration for staining, and the longer the staining time. And the closer the relationship between the two species, the more similar their staining conditions become. The TZ staining method of similar species can be predicted according to the genetic distance between the phylogenetic trees, and the viability of new species can be detected quickly.

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

Introduction

Seed viability refers to the potential germination capacity of a seed or the vitality of the seed embryo (Finch-Savage and Leubner-Metzger, Reference Finch-Savage and Leubner-Metzger2006; Rajjou et al., Reference Rajjou, Duval, Gallardo, Catusse, Bally, Job and Job2012). The assessment of seed quality and physiological potential is essential in seed production and crop breeding (Matthews et al., Reference Matthews, Noli, Demir, Khajeh-Hosseini and Wagner2012). The seed industry needs sound information about the viability of seed lots within a short time to make quick decisions on seed marketing (Finch-Savage and Bassel, Reference Finch-Savage and Bassel2016). Seed quality includes physical quality, health status and physiological quality (Gaur et al., Reference Gaur, Kumar, Kiran and Kumari2020). Among the various methods of seed viability testing, germination testing is undoubtedly the most accurate assessment, but germination testing requires more time and a lot of labour and material resources, and some seeds require special pretreatment methods; for example, dormant seeds need to break dormancy before germination (Copeland et al., Reference Copeland, McDonald, Copeland and McDonald2001). Methods such as near-infrared reflectance spectroscopy, hyperspectral imaging (HSI) and X-ray scanning can detect seed viability non-destructively and quickly, but they are not very accurate and have large errors, making it difficult to obtain accurate viability levels for seeds from different batches and species (Ambrose et al., Reference Ambrose, Lohumi, Lee and Cho2016; Al-Turki and Baskin, Reference Al-Turki and Baskin2017; Pang et al., Reference Pang, Wang, Yuan, Yan, Yang and Xiao2021). The use of reactive dyes to determine the viability of different seeds is currently the best alternative to germination tests for rapid and accurate viability determination (Pritchard, Reference Pritchard1985). Among these, the tetrazolium (TZ) test is one of the most commonly used seed viability tests to date and has the advantage of being a rapid test (Magrini et al., Reference Magrini, Barreca and Zucconi2019). This is particularly useful for freshly harvested seeds that have high levels of dormancy and are difficult to germinate such as some grasses, trees and crops (Conn et al., Reference Conn, Beattie and Blanchard2006; Souza et al., Reference Souza, Ohlson, Gavazza and Panobianco2010; França-Neto and Krzyzanowski, Reference França-Neto and Krzyzanowski2022). The results of the TZ test indicate the number of viable seeds in a sample that are capable of producing normal plants under suitable germination conditions. While a germination test takes 3–4 weeks to complete for most grass species, a TZ test can be complete within 24–48 h (Elias et al., Reference Elias, Garay, Schweitzer and Hanning2006).

Employing TZ testing presents a challenge due to the need for taxon-specific seed pretreatment and staining methods. This includes TZ concentration, incubation time and incubation temperature, which often require significant human and material resources to explore. It is worth noting that closely related species often have similar morphological, ecological and physiological characteristics (Clausen et al., Reference Clausen, Keck and Hiesey1941; Burns and Strauss, Reference Burns and Strauss2011), such as fat content, which is closely related to TZ-staining conditions (Thom et al., Reference Thom, Horobin, Seidler and Barer1993). If possible, predicting optimal testing conditions based on phylogenetic proximity could help identify the best TZ-staining method for seeds of new species without the need for experimentation. This would allow for quick viability measurements and save labour and material resources.

To investigate the relationship between phylogenetic relatedness, seed traits and optimal TZ testing conditions, we identified a group of hard-coated species with deep dormancy. The seeds of six species (Tilia miqueliana, Tilia henryana, Sassafras tzumu, Prunus subhirtella, Prunus sibirica, and Juglans mandshurica) were all deeply dormant and hard-coated. Hard seeds refer to the impermeable barrier cell layer covered with a complete cuticle in the outer seed coat or shell (Finkelstein et al., Reference Finkelstein, Reeves, Ariizumi and Steber2008). The cell layer inhibits seed germination by blocking water and oxygen from the external environment, rendering the seed physically dormant (Finch-Savage and Leubner-Metzger, Reference Finch-Savage and Leubner-Metzger2006; Steinbrecher and Leubner-Metzger, Reference Steinbrecher and Leubner-Metzger2017). Only after the outer cuticle layer has been weakened will the seed absorb water and germinate (Egley, Reference Egley1989). Common treatments include acid etching, hot water soaking, mechanical damage, high pressure and variable temperature treatments (Rifna et al., Reference Rifna, Ramanan and Mahendran2019; Dai et al., Reference Dai, Chen and Wei2023). These treatments are all time-consuming and laborious, making quality seed inspections difficult (Rosbakh et al., Reference Rosbakh, Hülsmann, Weinberger, Bleicher and Poschlod2019).

T. miqueliana and T. henryana are rare species of the genus Tilia of the Malvaceae, S. tzumu is a deciduous tree of the Lauraceae, and they are found only in some provinces of China and are rare in number (Xiao and Zhou, Reference Xiao and Zhou1988; Shi et al., Reference Shi, Shen and Shi2012). The seeds have the characteristics of deep dormancy, which can partially germinate after 2–3 years in the natural state (Qiang et al., Reference Qiang, Gan and Ding2007). After the dormancy-breaking treatment, the dormancy can be broken after 2–8 months of low temperature stratification (Wu et al., Reference Wu, Bao, Hu, Zhou and Shen2021; Chen et al., Reference Chen, Jiang, Liu, Tan and Li2022; Peng et al., Reference Peng, Wu, Cai, Hu, Huang, Shen and Yang2023). P. subhirtella and P. sibirica belong to the genus Prunus of the Rosaceae, have relatively shallow dormancy characteristics and still require H2SO4 corrosion, gibberellin (GA) immersion and stratification to break the dormancy (Wang et al., Reference Wang, Hailili and Hou2008; Khudonogova et al., Reference Khudonogova, Zatsepina, Polovinkina, Rachenko and Tyapaeva2019). J. mandshurica is an arboreal plant belonging to the genus Juglans in the Juglandaceae. Its seeds have hard shell, dense structure and deep physical dormancy and are difficult to germinate (Jin, Reference Jin2022). In the process of rapid testing of viability by TZ staining, a lot of labour and material resources will be spent on exploring the seed pretreatment and staining methods. Therefore, the general rules for staining seeds of different types and characteristics (especially hard seeds) derived from distance and genetic evolutionary trees are of great value in reducing the exploration time and cost, and provide references for the protection of germplasm resources of endangered plants and the optimization of seed bank operations.

Materials and methods

Plant material

All seeds were collected from cultivated plants. T. henryana seeds were collected from Yangshu Forest Farm (119°10′ E, 31°30′ N) in Nanjing, Jiangsu Province in November 2022, and T. miqueliana seeds were collected from Huangzangyu National Forest Park in Anhui Province (117°06′ E, 34°06′ N) in November 2022. P. subhirtella and J. mandshurica seeds were collected from the campus of Nanjing Forestry University (118°48′ E, 32°06′ N) in June and October 2021, respectively. P. sibirica seeds were collected from Xiaolong Mountain, Tianshui City, Gansu Province (34°05' ~ 34°40′ N, 105°30′ ~ 106°30′E) in October 2022. All seeds were naturally dried indoors (temperature ranges from 3 to 17 °C, while the humidity was 58–70%). The empty seeds were removed by water separation and dried for later use. After harvesting, the experiment began within 1 month.

Experimental design

Since the six species are divided into endospermic and exalbuminous types, the endosperm treatment is required for the endospermic type (T. miqueliana and T. henryana), which involves many experimental factors, so the L9 (34) orthogonal test method is adopted. The single-factor test method was used for the other four kinds of exalbuminous seeds. Each treatment evaluated 150 seeds per species (3 × 50), with staining conditions recorded at the conclusion of the test.

TZ staining test of T. miqueliana and T. henryana

The seeds were first soaked in deionized water for 48 h and then treated separately as follows: with a scalpel sterilized with alcohol, (1) the pericarp was removed (hulling), (2) after removing pericarp, the endosperm was cut in half along the cotyledon direction (longitudinal cut) or (3) the endosperm was cut in half vertically along the cotyledon direction (transverse cut) after removing pericarp, and then stained with TZ solution at 0.2, 0.5 or 1% concentration, respectively. The final distribution was placed in incubators at 30, 35 or 40 °C (in darkness) and stained for 80, 100 or 120 min, respectively. The orthogonal test was used to study the best TZ-staining method for T. miqueliana and T. henryana seeds (Cimbala, Reference Cimbala2014). Four factors were set, including A, seed treatment method; B, TZ concentration (%); C, staining temperature (°C) and D, staining time (min), with three levels for each factor (Table 1).

Table 1. Orthogonal test scheme of TZ staining for T. miqueliana and T. henryana (L9).

TZ-staining test of J. mandshurica

The fresh J. mandshurica seeds were soaked in deionized water at room temperature (25 °C) for 36 h. Due to the complex seed structure, the seeds were cut along the middle suture (the midline of the two cotyledons). The tissues (radicles with a small part of the cotyledon) were taken out and soaked in 0.2, 0.5 or 1.0% TZ solution, then placed in incubators at different temperatures of 25, 30 or 35 °C and stained for 2, 4, 6 or 8 h in darkness.

TZ-staining test of S. tzumu

The fresh S. tzumu seeds were soaked in deionized water at 25 °C for 24 h. Then, the seed coat was removed and the embryos were taken out. The embryos were soaked in a TZ solution at concentrations of 0.2, 0.5 or 1.0%. Afterward, the embryos were placed in incubators at different temperatures of 30, 35or 40 °C. They were stained for 8, 12, 16 or 20 h in the darkness.

TZ test of P. subhirtella and P. sibirica

The fresh seeds of P. subhirtella and P. sibirica were soaked in water at 25 °C for 24 h, the seed coats were removed and embryos were extracted. Then the embryos were soaked in the TZ solution at concentrations of 0.2, 0.5 or 1.0% and placed in incubators at different temperatures of 25, 30 or 35 °C stained for 4, 6, 8 and 10 h in darkness.

Post-staining observation

After staining, the embryo and endosperm were observed anatomically and seeds were photographed for comparison (α7, Sony, Tokyo, Japan). Table 2 presents statistics and calculations of the performance of seed viability.

Table 2. Determination of the seed viability of T. miqueliana and T. henryana by TZ staining.

Verification of seed viability measurements

Additional 150 seeds (3 × 50) seeds of each species were used for germination trials as a point of comparison and verification for the TZ results. Seeds received the following dormancy-breaking treatments: (1) T. miqueliana, the seeds were soaked in H2SO4 for 15 min, then in GA3 at a concentration of 0.5 g L−1 for 12 h, followed by stratification at 15°C for 60 d. (2) T. henryana, the seeds were soaked in H2SO4 for 15 min, then in GA3 at a concentration of 1 g L−1 for 12 h, followed by cold stratification at 5°C for 45 d. (3) J. mandshurica, the seeds were first warm stratified at 20 °C for 30 d, and then cold stratified at 0°C for 60 d. (4) P. subhirtella and P. sibirica, the seeds were soaked in 1 g L−1 GA3 for 12 h after the removal of the seed coat, followed by warm stratification at 20°C for 40 d. (5) S. tzumu, the seeds were soaked in 0.2 g L−1 GA3 for 12 h, followed by cold stratification at 2°C for 120 d. Within 30 d, the germination was considered completed when no new seeds germinated for 7 consecutive days.

Phylogenetic tree construction of six species

To construct phylogenetic trees, internal transcribed spacer (ITS) sequence data from six species were compared and aligned using ClustalW software included in the MEGA package version 6.0.6 (El-Esawi et al., Reference El-Esawi, Witczak, Abomohra, Ali, Elshikh and Ahmad2018). The aligned data set was analysed using the maximum likelihood (ML) to construct phylogenetic trees. According to the results of the Akaike Information Criterion (AIC) calculated in the MEGA package, the best model is selected for ML phylogenetic tree construction. The ML analysis is performed and the trees were constructed by calculating the initial tree (constructed by the BioNJ method) and selecting the Nearest-Neighbour Interchange (NNI) option for the following heuristic search. Bootstrap analysis was performed on 1000 replicates to calculate the support at the node. Bootstrap values are labelled on the nodes, and values less than 50 have been removed.

Determination of fat content

Fat content was determined by the Soxhlet extraction method (Botcha et al. Reference Botcha, Devi and Atluru2011) using Solvent Extractor SER (VELP, Scientifica, Italy). First, 0.5 g of dry endosperm or cotyledon powder was wrapped with defatted filter paper and placed in a Soxhlet extractor. After the addition of petroleum ether, the extraction was carried out at a constant water temperature of 80°C for 16 h. The filter paper bag was then removed and dried in an oven at 105°C to volatilize the petroleum ether before being placed in a desiccator and cooled before weighing.

$${\rm Fat\;content\;\% } = \displaystyle{{W_1 + W_2-W_3} \over {W_2}} \times 100$$

where W 1 is the weight of filter paper (g), W 2 is the dry weight of endosperm (g) and W 3 is the weight of extracted endosperm (g).

Data analysis

Predictor variables (fat content, staining time, staining temperature and TZ concentration) and response variables (viability and germination rate) were tested. SPSS 25 software was used to calculate the mean and standard error. The Duncan test based on single-factor analysis of variance (ANOVA) and the between-subjects effect test were used to determine the significance of the results among the different treatments. All graphs were drawn using Origin Pro 2021 software (Origin Laboratory).

Results

Determination of TZ-staining results of six hard-coated species

Standard for the interpretation of T. miqueliana and T. henryana seed viability

The two linden species have similar morphological characteristics, both are endospermic types and the outer layer is hard and poor permeability seed coat. Based on the TZ and germination results, we determined that seeds with staining of the embryo (≥80%), the radicle and the endosperm (≥33%) were highly viable; seeds with staining of the embryo (≥60%), the radicle and the endosperm (≤33%) were medium viable. Seeds where the embryo was not stained or sporadically stained and the endosperm was not stained were determined to be non-viable. (Fig. 1) (Table 2).

Figure 1. TZ staining diagram of seeds of T. miqueliana (A) and T. henryana (B).

Standard for the interpretation of S. tzumu seed viability

S. tzumu seeds have no endosperm, so only the staining of the cotyledon and radicle needs to be observed. According to seed germination biology and the principle of the TZ test, the viable seeds were those in which the cotyledon and radicle stained bright red (Fig. 2A). The non-viable seeds were (1) the stained area of the cotyledon was less than 1/2 (Figs. 2B2D); (2) the radicle and more than 1/2 of the cotyledon are stained, but the junction with the radicle is defective (Figs. 2E and 2F); (3) the cotyledon is completely stained but the radicle is not (Fig. 2G); (4) the radicle is not stained and the area of the cotyledon is less than 1/2 (Fig. 2H) and (5) neither the cotyledon nor the radicle was stained (Fig. 2I).

Figure 2. Staining schematic diagram of S. tzumu seed viability. (A) Viable seeds and (B–I) non-viable seeds. Note that (A) the cotyledon and the radicle were stained bright red; (B–D) the stained area of the cotyledon was less than 1/2; (E and F) the radicle and more than 1/2 of the cotyledon are stained, but the junction with the radicle is defective; (G) the cotyledon is completely stained but the radicle is not; (H) the radicle is not stained and the area of the cotyledon is less than 1/2; (I) neither the cotyledon nor the radicle was stained.

Standard for the interpretation of J. mandshurica, P. subhirtella and P. sibirica seed viability

The seeds of J. mandshurica, P. subhirtella and P. sibirica are all albuminous seeds, so their viability is determined by embryo staining. At the end of the staining, the viability of the seed is judged according to the part of the seed that is stained, the size of the stained area and the degree of staining. Specific scoring criteria are as follows:

  1. (1) Viable seeds: radicle and cotyledon all stained (Fig. 3D, 3H, and 3L); radicle stained, most of the cotyledon stained (Fig. 3C);

  2. (2) Non-viable seeds: radicle stained but cotyledon not stained (Fig. 3J); radicle not stained and cotyledon partially stained (Figs. 3B, and 3G,); neither radicle nor cotyledon stained (Fig. 3E, and 3I). The cotyledon and radicle are stained, but the hypocotyl is not stained (Fig. 3A, and 3K). Both the radicle and the cotyledon are stained, but the staining is light (Fig. 3F).

Figure 3. Staining schematic diagram of J. mandshurica (A–D), P. subhirtella (E–H) and P. sibirica (I–L) seed viability. Note that (D, H and L) radicle and cotyledon all are stained; (C) radicle stained, most of the cotyledon stained; (J) radicle stained but cotyledon not stained; (B and G) radicle not stained and cotyledon partially stained; (E and I) neither radicle nor cotyledon stained. (A and K) The cotyledon and radicle are stained, but the hypocotyl is not stained. (F) Both the radicle and the cotyledon are stained, but the staining is light.

TZ-staining test results of six hard-coated species

TZ-staining results of the endospermic type

The orthogonal test was used to investigate the optimal TZ-staining method for T. miqueliana and T. henryana seeds. The results are presented in Tables 3 and 4. Different pre-treatment and TZ staining methods had significant differences in the seed viability determination results. The lowest viability level of T. henryana seeds determined by TZ staining was 38.33% and the highest was 96.67%, and the staining effect of treatment 3 (hulling, 1%, 40 °C, 120 min) yielded the highest measure of viability. The lowest TZ staining rate of T. miqueliana seeds was 0, while the highest was 98.33%, and the staining effect of treatment 6 (longitudinal cut, 1%, 40 °C, 120 min) yielded the highest measure of viability. ANOVA and range analysis (R-value) showed that the factors affecting the determination of TZ staining of T. henryana seeds were as follows: TZ concentration = staining temperature > treatment method > staining time. However, the viability of T. henryana seed was not significant for the first three factors (P > 0.05), but only for staining time (P < 0.05). The factors affecting the determination of TZ staining of T. miqueliana seeds were as follows: treatment method > staining time > TZ concentration = staining temperature. All the four factors had significant effects on the TZ-staining level of T. miqueliana seeds. According to the results of the ANOVA and range analysis, the best TZ-staining method for T. henryana was treatment 3 (hulling, 1%, 40 °C, 120 min), and the best method for staining the seeds of T. miqueliana was treatment 6 (longitudinal cut, 1%, 40 °C, 120 min).

Table 3. TZ-staining results of T. henryana seed.

Note: The different lowercase letters after the values in the same column indicate significant differences between treatments (P ≤ 0.05). The ‘*’ indicates a significant difference between treatments (*P ≤ 0.05). k1, k2 and k3 represent the average seed viability of each factor at each level. R represents ‘range’, which indicates the magnitude of the effect of each factor on the result.

Table 4. TZ-staining results of T. miqueliana seed.

Note: The different lowercase letters after the values in the same column indicate significant differences between treatments (P ≤ 0.05). The ‘*’ indicates a significant difference between treatments (*, P ≤ 0.05 **, P ≤ 0.01). k1, k2 and k3 represent the average seed viability of each factor at each level. R represents “range”, which indicates the magnitude of the effect of each factor on the result.

TZ-staining results of the exalbuminous type

The results of different staining temperatures, TZ concentrations and staining times on the viability assessment of four kinds of exalbuminous hardiness seeds are shown in Tables 5 and 6. Staining temperatures, TZ concentrations and staining times all had significant effects on the results (P < 0.01). The number and the degree of stained seed increased with increasing staining time, and the overall performance being that the higher the TZ concentration, the shorter the staining time (Table 5). The four exalbuminous hard seeds required at least more than 6 h of staining time, and all required a 1% TZ concentration and a staining temperature above 35 °C to achieve the best staining effects and viability determination (Table 6).

Table 5. Effects of different TZ test conditions on the viability of four kinds of exalbuminous hard seeds.

Note: The different lowercase letters after the values in the same column indicate significant differences between treatments (P ≤ 0.05).

Table 6. Optimal TZ-staining method for hard seeds of six species.

Excessive long TZ staining time will lead to an excessive deep staining degree, resulting in misjudgement of seed viability level. In the P. subhirtella staining experiment, the most accurate staining information could be obtained when the seeds were soaked in 1% TZ for 8 h. After 10 h, the staining degree was too deep, which was not conducive to the interpretation of viability level. There is a similar phenomenon in the staining process of P. sibirica seeds (Table 5). Too high concentration of TZ concentration and too long staining time will lead to darker red colour and staining of all parts, and this is not conducive to obtain accurate information on seed viability. For the determination of seed viability and TZ-staining test results, the optimal TZ-staining conditions for S. tzumu seeds are as follows: at 35 °C, the seeds were immersed in TZ solution with 1% concentration, then stained for 20 h and the final viability was determined to be 84%. The optimal TZ-staining conditions of J. mandshurica seeds were as follows: the seeds were immersed in the TZ solution with 1% concentration at 35 °C and then stained for 6 h, and the final viability was determined to be 96%. The optimal TZ-staining conditions for P. subhirtella seeds were as follows: the seeds were immersed in the TZ solution with 1% concentration at 35 °C, then stained for 8 h and the final viability was determined to be 94%. The optimal TZ-staining conditions for P. sibirica seeds were as follows: the seeds were immersed in the TZ solution with 1% concentration at 35 °C, then stained for 8 h and the final viability was determined to be 96% (Table 6).

Reliability verification of TZ staining

Six kinds of species in different replicates were selected for germination after dormancy release. As shown in Fig. 4, the seed viability level of six kinds of seed species determined by the optimal TZ staining method was slightly higher than the actual germination rate, but the difference was not significant. In all cases, significant differences in viability were in agreement with significant differences in germination, confirming the reliability of the best TZ method for seed viability of six species.

Figure 4. Comparison of viability measured by TZ staining with germination of (A) T. henryana; (B) S. tzumu; (C) T. miqueliana; (D) P. subhirtella; (E) J. mandshurica and (F), P. sibirica. Notes: Lowercase letters in the same replicate indicate no significant difference at the 0.05 level.

Phylogenetic relationship of six species

It can be seen from the phylogenetic diagram (Fig. 5) that although the six species are all hard seeds, S. tzumu is the most distantly related. T. miqueliana and T. henryana are closely related, and both have endosperm seeds, so the staining time is shorter than that of the other four plants. The ITS sequence of T. henryana isolate 8964_0559 clustered with T. miqueliana (bootstrap = 94%) (Fig. 5). The other three dicotyledonous plants are relatively closely related, ITS sequence of J. mandshurica isolate JZFQ0609.01 clustered with P. sibirica voucher NAG03 and P. subhirtella clone YX1 (bootstrap = 74%) (Fig. 5). They also have a high degree of similarity in the staining conditions, except for the difference of 2 h in the staining time; other conditions are completely identical (Table 6).

Figure 5. ML phylogeny of ITS regions for the study species. ML phylogeny of ITS regions for the study species. Notes: S. tzumu voucher ZF48 was chosen as out-group. Support in nodes is indicated above branches and is represented by bootstrap values. Bootstrap values lower than 50 is hidden. The best-fit model of ML phylogeny according to AIC: Tamura 3-parameter (T92) + G; alignment ITS = 551 bp. Scale bar: 0.20 substitutions per nucleotide position.

Notes: S. tzumu voucher ZF48 was chosen as out-group. Support in nodes is indicated above branches and is represented by bootstrap values. Bootstrap values lower than 50 are hidden. The best-fit model of ML phylogeny according to AIC: Tamura 3-parameter (T92) + G; alignment ITS = 551 bp. Scale bar: 0.20 substitutions per nucleotide position.

Seed fat content of six species

All six species had high fat content, but the range of fat content was quite variable, ranging from 28.4 to 67.8% (Fig. 6A). The seeds of T. miqueliana and T. henryana had the lowest fat content, which was 28.4 and 29.6%, respectively. The seeds of P. subhirtella and P. sibirica were the next, with 47.9 and 48%, respectively, and the seeds of S. tzumu had the highest fat content of 67.8%. There was a correlation between seed fat content and staining conditions such as incubation temperature, TZ concentration and staining time (Fig. 6B). The higher the fat content in seeds, the lower the incubation temperature and TZ concentration required for staining, and the longer the staining time.

Figure 6. The content of fat in the endosperm or cotyledons of six species (T. miqueliana, T. henryana, S. tzumu, P. subhirtella, P. sibirica and J. mandshurica) (A). The correlation between fat content, incubation temperature, TZ concentration, staining time and seed viability (B). Note: The different lowercase letters indicate significant differences between treatments (P ≤ 0.05). The ‘*’ indicates a significant difference between treatments (*P ≤ 0.05; **P ≤ 0.01).

Discussion

Analysis of TZ-staining results

Seed viability is an important index to evaluate the suitability of seed storage methods and sowing quality (Gough, Reference Gough2020). Different seeds require different TZ staining methods to obtain the best-staining effect (Zhang et al., Reference Zhang, Wu, Zhang, Deng, Duan, Teixeira da Silva, Huang and Zeng2015). The seed coats of the six kinds of hard seeds are hard and have poor permeability, all of them have the characteristics of deep dormancy, which makes the viability assessment of these seeds difficult. At the same time, these seeds have relatively high requirements for TZ solution concentration and need to be stained in 1% TZ solution, which may be related to the dormancy characteristics of the seeds. The results of this study showed that the optimized TZ detection method could accurately determine the viability of six species of hard-coated seeds. The staining conditions of S. tzumu are also very different from those of the other five plants, and the staining time is 20 h. In addition to S. tzumu, the remaining five species of hard seeds do not stain for more than 8 h.

The reason why the germination percentage is lower than the viability of seeds may be that the seeds need to be treated with acid corrosion and stratification during the dormancy release process and some seeds with low vitality may rot and deteriorate during stratification (Kozlowski and Pallardy, Reference Kozlowski and Pallardy1997; Hirano et al., Reference Hirano, Godo, Mii and Ishikawa2005; Meyer, Reference Meyer2006). Airborne bacteria or fungi can also cause infection during the dormancy and germination process (Bradbeer, Reference Bradbeer2013). In addition, seed dormancy and the presence of germination inhibitors may also affect the final germination percentage. It is particularly noteworthy that it is useful to determine the viability of seed species that are hard to germinate and have deep dormancy. Examples are tree, shrub and grass seeds, as well as certain crops during the first few months after harvest in some crops when the dormancy is at its highest level (e.g., Kentucky bluegrass) (Elias et al., Reference Elias, Garay, Schweitzer and Hanning2006). As the same time, when speed is important and quick decisions about the viability levels of a seed lot has to be made on a short notice, whether the seeds are dormant or non-dormant. Compared with the long-term and laborious dormancy release treatment required for the germination of hard seeds (Jones et al., Reference Jones, Johnson, Bushman, Connors and Smith2016), the optimal TZ-staining method obtained in this study can accurately and quickly evaluate the viability of different batches of seeds.

TZ-staining characteristics of hard seeds

Incubation temperature is one of the important factors determining the effectiveness of TZ staining. In this study, all the hard seeds of the six species required a staining temperature above 35 °C during the TZ-staining process, indicating that the staining temperature was higher than that of conventional seeds (Li et al., Reference Li, Li, Zhang, Chen, Li and Lu2022). This is similar to rice and Vernicia fordii seeds. The incubation temperature is the most critical factor for the TZ-staining effect of rice seeds and V. fordii seeds. Chen et al. (Reference Chen, Zhang, Dai, Gao, Zhang, Wu, Song and Liu2021) found that at an incubation temperature of 20°C, the staining percentage of rice seeds was only 43%. As the incubation temperature increased, the staining percentage increased gradually. The staining percentage increased to 75% at 30°C and further to 81% at 40°C. Gu et al. (Reference Gu, Xiang and Zheng2020) found that the staining percentage of V. fordii embryos increased with increasing incubation temperature. The staining percentage was 0% at both 20 and 25°C. When the temperature reached 40°C, the staining percentage was 68.89% and continued to increase to 71.11% at 45°C. It shows that the seeds all have dormancy characteristics and belong to the north temperate zone seeds. The internal permeability enhancement and physiological activation of the seeds require higher temperature.

TZ staining requires the TZ solution to access the seed tissues in order to activate respiratory enzymes to release hydrogen ions. This allows the TZ solution to access the internal tissues of the seed. The hydrogen ions reduce the colourless TZ solution to red formazan, which stains living tissues with red colour, while dead tissues remain unstained (Elias et al., Reference Elias, Garay, Schweitzer and Hanning2006). The hydration rate of the TZ solution entering the seed and reacting with the tissues is therefore critical. Lipids may be broadly defined as hydrophobic (Fahy et al., Reference Fahy, Subramaniam, Murphy, Nishijima, Raetz, Shimizu, Spener, van Meer, Wakelam and Dennis2009). Interestingly, we found that the fat content of these six species is related to the TZ-staining time. In addition, fat content was similar within the same genus, and the more distant the genetic relationship, the greater the difference in fat content and the higher the fat content the longer the staining time required. Munz et al. (Reference Munz, Rolletschek, Oeltze-Jafra, Fuchs, Guendel, Neuberger, Ortleb, Jakob and Borisjuk2017) found that during the imbibition process of B. napus seeds, the storage lipids accumulated in the endosperm play the role of an efficient hydrophobic barrier between the embryo and the integuments. It can be seen that the fat content in seeds is one of the important factors affecting the TZ-staining speed.

Association between plant species relatedness and TZ-staining conditions in seeds

The species of the same genus or even the same family may have great differences in staining conditions, so it is necessary to adjust the method of each specific species when performing TZ-staining test on seeds (Lamarca and Barbedo, Reference Lamarca and Barbedo2014). The closely related species have similar staining characteristics due to the similarity in morphology (Adams et al., Reference Adams, Baskin and Baskin2005; Martín-Gómez et al., Reference Martín-Gómez, Rewicz, Rodríguez-Lorenzo, Janoušek and Cervantes2020), composition and so on. T. miqueliana and T. henryana belong to the genus Tilia, except for different seed treatment methods, the staining conditions are completely the same, so that other species of the same genus may also have similar TZ-staining conditions. In addition, P. subhirtella and P. sibirica have a closer relationship and are completely consistent in various TZ-staining conditions. Although J. mandshurica do not belong to the same genus as P. subhirtella and P. sibirica, it still belongs to a similar position in the phylogenetic tree and has similar staining conditions. However, there are differences in the staining time. The staining conditions of S. tzumu are very different from those of the above species, and the staining time takes 20 h, which is far more than that of the other five kinds of hard seeds. In addition, there are also great differences in the impact of staining temperature and TZ concentration. According to the location of different species in the evolutionary tree, TZ-staining conditions of species with similar relatives can be inferred, which can save a lot of time and cost and human and material resources. At the same time, the more species that know TZ-staining conditions, the more accurate and detailed the prediction will be. The establishment of a staining condition model based on the available information and the rapid prediction of the staining conditions of unknown species are of great help for the conservation and utilization of germplasm resources, especially for the rapid detection of vigour of hard seeds.

Conclusion

The TZ staining of six species of hard seeds requires a staining temperature above 35 °C, and the TZ solution concentration is above 1%. Therefore, it provides evidence that that the hard seeds in the northern temperate zone generally require a higher staining temperature and TZ concentration. In addition to these shared characteristics, it is important to note that the six hard seeds require different optimal stain treatments. Endospermic seeds, for example, require a shorter staining time compared to exalbuminous seeds. The higher the fat content in seeds, the lower the incubation temperature and TZ concentration are required for staining, and the duration of the staining process increases as the temperature and TZ concentration increase. The closer the relationship between the two species, the more similar their staining conditions are. The TZ-staining method of similar species can be predicted according to phylogenetic proximity, and the viability of new species can be detected quickly.

Data availability

All data are presented in the article.

Acknowledgments

We would like to thank the College of Forestry, Nanjing Forestry University and Co-innovation Center for Sustainable Forestry in Southern China, Southern Tree Inspection Center National Forestry Administration. We are also grateful to Nanjing Innovabio Co., Ltd. for helping us with the fat content testing. Special thanks to Dr Songling Han from Army Medical University for his guidance in drawing Tables and Figures. Furthermore, we would like to express our sincere gratitude to the two anonymous reviewers for their meticulous review and insightful comments. This work was supported by four projects. Project ‘LYKJ-NanJing[2022]01’ and ‘LYKJ [2021] 03’ covered most of the experiment costs. Projects ‘Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)’ and ‘Jiangsu Provincial Education Department, Jiangsu Postgraduate Training Innovation Project, KYCX23_1234’ provide the rest of the experiment costs.

Author contributions

Y.B.S. conceived the original screening and research plans; C.Y.P. and Y.W. designed and performed all experiments; W.H.H., Z.Y.D., X.R.S., M.Z.W., J.Y.X., X.Y.Y. and C.C.G. analysed the data; C.Y.P. and Y.W. wrote the article with contributions of all the authors. Y.B.S. and H.W.P. revised the article. Y.W. agrees to serve as the author responsible for contact and ensures communication. All authors have read and approved the manuscript.

Competing interest

The authors declare that they have no significant competing financial interests or personal relationships that could have appeared to influence the work described in this manuscript.

Footnotes

These authors contributed equally to this work and share first authorship

References

Adams, CA, Baskin, JM and Baskin, CC (2005) Comparative morphology of seeds of four closely related species of Aristolochia subgenus Siphisia (Aristolochiaceae, Piperales). Botanical Journal of the Linnean Society 148, 433436.CrossRefGoogle Scholar
Al-Turki, TA and Baskin, CC (2017) Determination of seed viability of eight wild Saudi Arabian species by germination and X-ray tests. Saudi Journal of Biological Sciences 24, 822829.CrossRefGoogle ScholarPubMed
Ambrose, A, Lohumi, S, Lee, W-H and Cho, BK (2016) Comparative nondestructive measurement of corn seed viability using Fourier transform near-infrared (FT-NIR) and Raman spectroscopy. Sensors and Actuators B: Chemical 224, 500506.CrossRefGoogle Scholar
Botcha, S, Devi, P and Atluru, A (2011) Biochemical changes during seed germination of Sterculia urens Roxb. Notulae Scientia Biologicae 3, 105108.Google Scholar
Bradbeer, J (2013) Seed Dormancy and Germination. New York: Springer Science & Business Media.Google Scholar
Burns, JH and Strauss, SY (2011) More closely related species are more ecologically similar in an experimental test. Proceedings of the National Academy of Sciences 108, 53025307.CrossRefGoogle Scholar
Chen, BX, Zhang, Q, Dai, CY, Gao, JD, Zhang, WH, Wu, RX, Song, SQ and Liu, J (2021) TTC staining and germination characteristics of rice seeds. Guangdong Agricultural Sciences 48, 8.Google Scholar
Chen, H, Jiang, J, Liu, J, Tan, Z and Li, Y (2022) Physiological dormancy and dormancy release of Sassafras tzumu, a colored-leaf tree species with high landscape and economic value. iForest-Biogeosciences and Forestry 15, 349.CrossRefGoogle Scholar
Cimbala, JM (2014) Taguchi Orthogonal Arrays. Philadelphia: Pennsylvania State University, pp. 13.Google Scholar
Clausen, J, Keck, DD and Hiesey, WM (1941) Regional differentiation in plant species. The American Naturalist 75, 231250.CrossRefGoogle Scholar
Conn, JS, Beattie, KL and Blanchard, A (2006) Seed viability and dormancy of 17 weed species after 19.7 years of burial in Alaska. Weed Science 54, 464470.CrossRefGoogle Scholar
Copeland, LO, McDonald, MB, Copeland, LO and McDonald, MB (2001) Principles of Seed Science and Technology. New York: Springer, pp. 124139.CrossRefGoogle Scholar
Dai, L, Chen, Y and Wei, X (2023) Hard seed characteristics and seed vigor of Ormosia hosiei. Agriculture 13, 1077.CrossRefGoogle Scholar
Egley, G (1989) Recent Advances in the Development and Germination of Seeds. Boston: Springer, pp. 207223CrossRefGoogle Scholar
El-Esawi, MA, Witczak, J, Abomohra, AE-F, Ali, HM, Elshikh, MS and Ahmad, M (2018) Analysis of the genetic diversity and population structure of Austrian and Belgian wheat germplasm within a regional context based on DArT markers. Genes 9, 47.CrossRefGoogle ScholarPubMed
Elias, S, Garay, A, Schweitzer, L and Hanning, S (2006) Seed quality testing of native species. Native Plants Journal 7, 1519.CrossRefGoogle Scholar
Fahy, E, Subramaniam, S, Murphy, RC, Nishijima, M, Raetz, CR, Shimizu, T, Spener, F, van Meer, G, Wakelam, MJ and Dennis, EA (2009) Update of the LIPID MAPS comprehensive classification system for lipids. Journal of Lipid Research 50, S9S14.CrossRefGoogle ScholarPubMed
Finch-Savage, WE and Bassel, GW (2016) Seed vigour and crop establishment: extending performance beyond adaptation. Journal of Experimental Botany 67, 567591.CrossRefGoogle ScholarPubMed
Finch-Savage, WE and Leubner-Metzger, G (2006) Seed dormancy and the control of germination. New Phytologist 171, 501523.CrossRefGoogle ScholarPubMed
Finkelstein, R, Reeves, W, Ariizumi, T and Steber, C (2008) Molecular aspects of seed dormancy. Annual Review of Plant Biology 59, 387415.CrossRefGoogle ScholarPubMed
França-Neto, J and Krzyzanowski, FC (2022) Use of the tetrazolium test for estimating the physiological quality of seeds. Seed Science and Technology 50, 3144.CrossRefGoogle Scholar
Gaur, A, Kumar, A, Kiran, R and Kumari, P (2020) Seed-Borne Diseases of Agricultural Crops: Detection, Diagnosis & Management. Singapore: Springer, pp. 323.CrossRefGoogle Scholar
Gough, RE (2020) Seed Quality: Basic Mechanisms and Agricultural Implications. Boca Raton: CRC Press.Google Scholar
Gu, L, Xiang, Z and Zheng, K (2020) Rapid determination of seed viability of Olea europaea by TTC method. Seeds 39, 4.Google Scholar
Hirano, T, Godo, T, Mii, M and Ishikawa, K (2005) Cryopreservation of immature seeds of Bletilla striata by vitrification. Plant Cell Reports 23, 534539.CrossRefGoogle ScholarPubMed
Jin, X (2022) Effects of different sand storage treatments on physiological metabolism and germination of Juglans mandshurica seeds. Liaoning Forestry Science and Technology 06, 3234.Google Scholar
Jones, TA, Johnson, DA, Bushman, BS, Connors, KJ and Smith, RC (2016) Seed dormancy mechanisms in basalt milkvetch and western prairie clover. Rangeland Ecology & Management 69, 117122.CrossRefGoogle Scholar
Khudonogova, E, Zatsepina, O, Polovinkina, S, Rachenko, M and Tyapaeva, M (2019) Seed germination of woody and shrubby introduced species. In IOP Conference Series: Earth and Environmental Science. IOP Publishing.CrossRefGoogle Scholar
Kozlowski, TT and Pallardy, SG (1997) Growth Control in Woody Plants. Berkeley: Elsevier.Google Scholar
Lamarca, EV and Barbedo, CJ (2014) Methodology of the tetrazolium test for assessing the viability of seeds of Eugenia brasiliensis Lam., Eugenia uniflora L. and Eugenia pyriformis Cambess. Journal of Seed Science 36, 427434.CrossRefGoogle Scholar
Li, C, Li, Y, Zhang, Y, Chen, J, Li, M and Lu, Q (2022) A rapid determination of seed viability of Nitraria tangutorum. Journal of Gansu Agricultural University 57, 147153.Google Scholar
Magrini, S, Barreca, D and Zucconi, L (2019) A rapid double-staining technique to improve seed viability testing in terrestrial orchids. Plant Biosystems – An International Journal Dealing with all Aspects of Plant Biology 153, 877882.CrossRefGoogle Scholar
Martín-Gómez, JJ, Rewicz, A, Rodríguez-Lorenzo, JL, Janoušek, B and Cervantes, E (2020) Seed morphology in Silene based on geometric models. Plants 9, 1787.CrossRefGoogle ScholarPubMed
Matthews, S, Noli, E, Demir, I, Khajeh-Hosseini, M and Wagner, M-H (2012) Evaluation of seed quality: from physiology to international standardization. Seed Science Research 22, S69S73.CrossRefGoogle Scholar
Meyer, SE (2006) Strategies for seed propagation of native forbs. Riley LE, Dumroese RK, Landis TD, technical coordinators. 2006. National Proceedings, Forest and Conservation Nursery Associations—2005. Fort Collins (CO): USDA Forest Service, Rocky Mountain Research Station. Proceedings RMRS-P-43. p, 3-9.Google Scholar
Munz, E, Rolletschek, H, Oeltze-Jafra, S, Fuchs, J, Guendel, A, Neuberger, T, Ortleb, S, Jakob, PM and Borisjuk, L (2017) A functional imaging study of germinating oilseed rape seed. New Phytologist 216, 11811190.CrossRefGoogle ScholarPubMed
Pang, L, Wang, L, Yuan, P, Yan, L, Yang, Q and Xiao, J (2021) Feasibility study on identifying seed viability of Sophora japonica with optimized deep neural network and hyperspectral imaging. Computers and Electronics in Agriculture 190, 106426.CrossRefGoogle Scholar
Peng, C, Wu, Y, Cai, H, Hu, Y, Huang, W, Shen, Y and Yang, H (2023) Methodological and physiological study of seed dormancy release in Tilia henryana. Journal of Plant Physiology 287, 154046.CrossRefGoogle ScholarPubMed
Pritchard, H (1985) Determination of orchid seed viability using fluorescein diacetate. Plant, Cell & Environment 8, 727730.CrossRefGoogle Scholar
Qiang, J, Gan, Y and Ding, Y (2007) Study on seed germination of Tilia henryana. Jiangsu Forestry Science and Technology 01, 3435.Google Scholar
Rajjou, L, Duval, M, Gallardo, K, Catusse, J, Bally, J, Job, C and Job, D (2012) Seed germination and vigor. Annual Review of Plant Biology 63, 507533.CrossRefGoogle ScholarPubMed
Rifna, E, Ramanan, KR and Mahendran, R (2019) Emerging technology applications for improving seed germination. Trends in Food Science & Technology 86, 95108.CrossRefGoogle Scholar
Rosbakh, S, Hülsmann, L, Weinberger, I, Bleicher, M and Poschlod, P (2019) Bleaching and cold stratification can break dormancy and improve seed germination in Cyperaceae. Aquatic Botany 158, 103128.CrossRefGoogle Scholar
Shi, FH, Shen, YB and Shi, JS (2012) Protection, development and utilization of Tilia miqueliana. Journal of Forestry Engineering 26, 1114.Google Scholar
Souza, C, Ohlson, O, Gavazza, MIA and Panobianco, M (2010) Tetrazolium test for evaluating triticale seed viability. Revista Brasileira de Sementes 32, 163169.CrossRefGoogle Scholar
Steinbrecher, T and Leubner-Metzger, G (2017) The biomechanics of seed germination. Journal of Experimental Botany 68, 765783.Google ScholarPubMed
Thom, SM, Horobin, RW, Seidler, E and Barer, MR (1993) Factors affecting the selection and use of tetrazolium salts as cytochemical indicators of microbial viability and activity. Journal of Applied Microbiology 74, 433443.Google ScholarPubMed
Wang, L, Hailili, K and Hou, D (2008) Effect of GA3 and lamination combined treatment on breaking dormancy of different types of wild apricot seeds. Xinjiang Agricultural Sciences 05, 835838.Google Scholar
Wu, Y, Bao, WQ, Hu, H, Zhou, YJ and Shen, YB (2021) Effects of H2SO4 and Gibberellin A3 on dormancy release of Tilia miqueliana seeds. Journal of Plant Growth Regulation 41, 112.Google Scholar
Xiao, D and Zhou, Y (1988) Research on dormancy physiology of Sassafras tzumu seeds. Journal of Central South College of Forestry 02, 139144.Google Scholar
Zhang, Y-Y, Wu, K-L, Zhang, J-X, Deng, R-F, Duan, J, Teixeira da Silva, JA, Huang, W-C and Zeng, S-J (2015) Embryo development in association with asymbiotic seed germination in vitro of Paphiopedilum armeniacum SC Chen et FY Liu. Scientific Reports 5, 16356.CrossRefGoogle Scholar
Figure 0

Table 1. Orthogonal test scheme of TZ staining for T. miqueliana and T. henryana (L9).

Figure 1

Table 2. Determination of the seed viability of T. miqueliana and T. henryana by TZ staining.

Figure 2

Figure 1. TZ staining diagram of seeds of T. miqueliana (A) and T. henryana (B).

Figure 3

Figure 2. Staining schematic diagram of S. tzumu seed viability. (A) Viable seeds and (B–I) non-viable seeds. Note that (A) the cotyledon and the radicle were stained bright red; (B–D) the stained area of the cotyledon was less than 1/2; (E and F) the radicle and more than 1/2 of the cotyledon are stained, but the junction with the radicle is defective; (G) the cotyledon is completely stained but the radicle is not; (H) the radicle is not stained and the area of the cotyledon is less than 1/2; (I) neither the cotyledon nor the radicle was stained.

Figure 4

Figure 3. Staining schematic diagram of J. mandshurica (A–D), P. subhirtella (E–H) and P. sibirica (I–L) seed viability. Note that (D, H and L) radicle and cotyledon all are stained; (C) radicle stained, most of the cotyledon stained; (J) radicle stained but cotyledon not stained; (B and G) radicle not stained and cotyledon partially stained; (E and I) neither radicle nor cotyledon stained. (A and K) The cotyledon and radicle are stained, but the hypocotyl is not stained. (F) Both the radicle and the cotyledon are stained, but the staining is light.

Figure 5

Table 3. TZ-staining results of T. henryana seed.

Figure 6

Table 4. TZ-staining results of T. miqueliana seed.

Figure 7

Table 5. Effects of different TZ test conditions on the viability of four kinds of exalbuminous hard seeds.

Figure 8

Table 6. Optimal TZ-staining method for hard seeds of six species.

Figure 9

Figure 4. Comparison of viability measured by TZ staining with germination of (A) T. henryana; (B) S. tzumu; (C) T. miqueliana; (D) P. subhirtella; (E) J. mandshurica and (F), P. sibirica. Notes: Lowercase letters in the same replicate indicate no significant difference at the 0.05 level.

Figure 10

Figure 5. ML phylogeny of ITS regions for the study species. ML phylogeny of ITS regions for the study species. Notes: S. tzumu voucher ZF48 was chosen as out-group. Support in nodes is indicated above branches and is represented by bootstrap values. Bootstrap values lower than 50 is hidden. The best-fit model of ML phylogeny according to AIC: Tamura 3-parameter (T92) + G; alignment ITS = 551 bp. Scale bar: 0.20 substitutions per nucleotide position.

Figure 11

Figure 6. The content of fat in the endosperm or cotyledons of six species (T. miqueliana, T. henryana, S. tzumu, P. subhirtella, P. sibirica and J. mandshurica) (A). The correlation between fat content, incubation temperature, TZ concentration, staining time and seed viability (B). Note: The different lowercase letters indicate significant differences between treatments (P ≤ 0.05). The ‘*’ indicates a significant difference between treatments (*P ≤ 0.05; **P ≤ 0.01).