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Article

Salinity Stress Alters Root Morphology and Root Hair Traits in Brassica napus

by
Mohammad Rashid Arif
,
M. Thoihidul Islam
and
Arif Hasan Khan Robin
*
Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh 02202, Bangladesh
*
Author to whom correspondence should be addressed.
Plants 2019, 8(7), 192; https://doi.org/10.3390/plants8070192
Submission received: 16 May 2019 / Revised: 19 June 2019 / Accepted: 24 June 2019 / Published: 27 June 2019
(This article belongs to the Special Issue Root Development)
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Abstract

:
Plant roots show morphological plasticity and play a substantial role in tolerance to various edaphic stresses. The aim of this study was to explore salinity-induced morphogenic responses of root traits and root hairs of two rapeseed varieties, BARI Sarisha-8 and Binasarisha-5, at the reproductive stage and perceive the effects on their reproductive growth. The experiment was conducted in a hydroponic culture. Two treatments, 0 mM NaCl as control and 100 mM NaCl, were imposed 55 d after germination. Plants exposed to 100 mM NaCl for seven days displayed greater damage in the leaves, flowers, and siliquae compared to control. Length of root hairs on first-order and third-order lateral roots, density of root hairs on first-order lateral roots, and length of third-order lateral roots were significantly greater by 91%, 22%, 29%, and 48%, respectively, in the treated condition compared to the control. An increase in estimated root surface area by 20% under salt stress conditions indicated that the spontaneous responses of plants to uptake more water and nutrients allowed a plant to cope with stressful conditions. The results of this study suggest that any future stress breeding programs should consider plasticity of root traits intensively.

Graphical Abstract

1. Introduction

Rapeseed mustard is the third highest source of edible oil after soybean and palm. The tetraploid Brassica napus L. is a dominant rapeseed species cultivated globally. In 2017–2018, 74.91 million tons of rapeseed and mustard seed were produced globally from 36.53 million hectares of land [1]. In Bangladesh, it is the top-ranked oilseed crop by a huge margin in terms of total cropped area that covers 67% of total oilseed production [2]. Brassica napus has a tap root system that consists of a single main root axis (embryonic roots) and lateral roots (postembryonic roots) Figure 1 [3,4,5]. The tap root is the first root to emerge from the embryo, which is anatomically well-defined [3,4,5,6,7]. Lateral roots are postembryonically formed, initiated from existing roots, and are generally branched [4,5,7,8]. Root hairs are unicellular, tubular projections from the modified epidermal cells of the root that increase the surface area of roots for nutrient and water uptake [9].
Salinity generates adverse environmental and hydrological conditions that restricts regular crop production. Salt stress affects seed germination, seedling establishment, growth, and development of plants by altering physiological and metabolic processes that eventually lead to reduction in yield [10]. Salinity reduces leaf area and photosynthetic rate [11,12] and alters the light phase of photosynthesis [13,14] by inducing osmotic stress. Physiological alteration under salinity stress includes nutritional imbalance and low soil water potential because of the excess accumulation of Na+ and Cl– ions [15]. Ion toxicity inhibits the enzymatic function of vital biological processes [16]. Salinity affects the development of male and female reproductive organs of plants, which are very sensitive to stress, decreases plant fecundity [17], and, thus, directly affects the yield of plants.
In Brassica species, salinity stress was reported to reduce growth, seed yield, and oil production by exhibiting, to a great extent, interspecific variation in salinity tolerance [18]. The general negative impact of salinity stress on Brassica crops reported earlier includes reduction in plant height, size and yield, and deterioration of seed quality [19]. Several reports on salt stress in Brassica species stated a decline of the shoot/root ratio [20,21,22], although there are also contradictory indications [23].
The plasticity of roots under salinity stress is the key to coping with stressful conditions, as root surfaces first get exposed to environmental stress [24]. Root morphological plasticity may include preventing accumulation of salt in roots so that water uptake may continue from saline soils [25]. Salt stress largely regulates formation and development of root hairs [9]. Epidermal development of roots shows plasticity, as external factors modulate epidermal cell types and initiation of root hairs [9,26]. Plasticity in the development of the root epidermis as a response to varying environmental conditions might indicate a function of root hairs in sensing environmental signals upon which plants adapt in stress conditions [27,28,29,30,31,32]. Salt stress at a lower concentration (5 g L−1 NaCl) induced abundant root hairs, but with greater salt concentrations (10 and 15 g L−1 NaCl) gradually lower numbers of root hairs were counted [33]. Density of root hair population, length, and diameter of individual root hairs largely determines total root surface area in plants. In stressful environments, either the determinants of root surface area or the root surface area, per se, were found to be less in both monocots (e.g., wheat and barley [34,35,36]) and in dicots (e.g., Arabidopsis [9] and mulberry [37]). Under salinity stress in particular, both root hair length and density of root hairs per unit surface area were less than 25% and 40% compared to those of untreated wheat genotypes grown hydroponically [36]. By contrast, in the case of seedlings of Silene vulgaris, two determinants of total root surface area—total root length and branching density—increased under moderate drought stress [38].
A thorough understanding of root system architecture with a special emphasis on root hair traits under salinity stress would be helpful for future rapeseed breeding. This study was planned to explore the effects of salinity stress at the reproductive stage. The focus of the experiment was on determining the alteration in root morphological traits and root hair traits, with a special emphasis on fine roots, and scoring the effect of salt stress on reproductive organs.

2. Materials and Methods

2.1. Plant Culture and Management

The experiment was carried out in a growth chamber at the Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh, Bangladesh. Two rapeseed (Brassica napus) cultivars, BARI Sarisha-8 and Binasarisha-5, were used in this study. Seeds of BARI Sarisha-8 were collected from Bangladesh Agricultural Research Institute, and those of Binasarisha-5 were collected from Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh. Seeds were germinated on one layer of moistened filter paper in Petri dishes. One week after germination, uniform, healthy, dark green seedlings were transferred to a hydroponic system. A modified Hoagland solution was used to supply suitable amounts of nutrients to the plants [39]. Plants were organized following a completely randomized design with two treatments and four replicates per treatment for each variety. The composition and concentration of the nutrients were 1 mM NH4NO3, 0.6 mM NaH2PO4.H2O, 0.6 mM MgCl2.H2O, 0.3 mM K2SO4, 0.3 mM CaCl2.H2O, 50 μM H3BO3, 90 μM Fe-EDTA, 9 μM MnSO4.4H2O, 0.7 μM ZnSO4.7H2O, 0.3 μM CuSO4.5H2O, and 0.1 μM NaMoO4.2H2O dissolved in water [35,36]. The nutrient solution was restored once a week.
Periodically, the trays with plants were rotated to change their position randomly to avoid positional effect. All plants were managed in a plant culture room under the same environmental conditions. The pH of the nutrient solution was maintained between 5.8 and 6.0. A 16:8 h day:night ratio was maintained in the plant culture room. The temperature of the culture room was maintained at 20 ± 2 °C.

2.2. Salinity Treatment, Injury Scoring, and Data Collection

At day 55 (flowering stage), two treatments, 0 mM and 100 mM NaCl, were imposed in order to induce salt stress. A salinity level of 100 mM concentration increased electric conductivity of the growth medium by about 10–11 dS m–1. Salt injury symptoms were assessed for different plant parts such as leaves, flowers, and siliqua at three, five, and seven days after the treatment imposition. Visible salt injury was scored using a 1–9 scale (see Table 1, Figure 2). Plants were destructively harvested at seven days after the commencement of salt treatment to collect data on root and root hair traits. Root traits like length and diameter of main root axis; length, diameter, and density of first-, second-, and third-order lateral roots; and root hair traits like length, diameter, and density of root hair of first-, second-, and third-order lateral roots were measured. Length of the main axis and first-order lateral roots were measured by a centimeter ruler. All other traits were measured under a light microscope at 100× magnification using a micrometer scale (Figure 3). Acetocarmine solution of 0.5% prepared with 45% glacial acetic acid was used to make roots and root hairs clearly visible under a light microscope.

2.3. Estimation of Root Surface Area

Root surface area was calculated by assuming that roots and root hairs were spherical in cross section. Thus, it could be calculated with the equation of a cylinder [35,36]. The equation was as follows:
Estimated root surface area = πDmLm (1+ a1n1πD1L1 (1 + arh1nrh1πDrh1Lrh1 + a2n2πD2L2 (1 + arh2nrh2πDrh2Lrh2 + a3n3πD3L3 (1 + arh3nrh3πDrh3Lrh3))))
where, Dm and Lm are the diameter and length of main axis, respectively; Di and Li are the diameter and length of the ith order lateral root, respectively; Drhi and Lrhi are the diameter and length of the root hair at the ith order lateral root, respectively; ai is the proportion of the length of roots that bear ith order lateral roots; arhi is the proportion of the length of ith order lateral roots that bear root hairs; ni is the density of ith order lateral roots; and nrhi is the density of the root hair at ith order lateral roots.
Details of Equation (1) are given in Supplementary Appendix 1.

2.4. Statistical Analysis

Minitab 17 statistical software package (Minitab Inc., State College, PA, USA) was used for data analysis. Analysis of variance (ANOVA) was performed following a generalized linear model to reveal deviations among treatments, varieties, and treatment × varieties. A post hoc analysis was conducted following Tukey’s pairwise comparisons to separate means of treatment, variety, and treatment x variety interactions. A principal component analysis (PCA) was carried out for selected traits that showed significant variations to discover complex patterns in the data and associations among measured traits. ANOVA of the PC scores was performed for treatment × variety interactions following a similar generalized linear model. A Pearson correlation analysis was carried out using Minitab 17 statistical software package for selected traits to explore relationships among them.

3. Results

3.1. Effects of Salt Treatment

Salt treatment caused visible symptoms on leaves, flowers, and siliquae. At two days after treatment application, leaves and flowers started to discolor and roll. At seven days after treatment, most leaves became nearly dead, new buds did not open, and young siliquae were completely dead. Adult siliquae still had their growth, but they were affected too, as they started to slightly discolor, wrinkle, and showed signs of early maturation (Figure 4). Salinity damage increased gradually from day 3 to day 7 after treatment in treated plants (Figure 5). Flowers were almost similarly affected for both genotypes; however, the leaves and young siliquae were more affected in Binasarisha-5, whereas adult siliquae were more affected in BARI Sarisha-8.
A significant effect of salt stress was found in root hair length at seven days after salinity treatment (Table 2). Root hair length on first-order lateral roots increased by 91% (P < 0.001) (Figure 6B), and root hair length on third-order lateral roots increased by 22% (P < 0.05) (Figure 6D) under salinity treatment compared to control. In addition, the length of third-order lateral roots increased by 48% (Figure S2), density of root hair on first-order lateral roots increased by 29% (P < 0.1) (Figure S5), and estimated root surface area increased by 20% (P < 0.1) (Figure 7), whereas the diameter of root hairs of the third-order lateral roots decreased by 9% (P < 0.1) (Figure S3).

3.2. Varietal Differences

It was observed that different root and root hair traits were significantly different in two varieties (Table 2). BARI Sarisha-8 accounted for significantly greater first-order lateral root diameter (Figure S1), second-order lateral root density (Figure 6A), third-order lateral root density (Figure S4), density of root hairs on first-order lateral roots (Figure S5), length of root hairs on third-order lateral roots (Figure 6D), and estimated root surface area (Figure 7) compared to Binasarisha-5. On the other hand, Binasarisha-5 accounted for a greater value of third-order lateral root diameter (Figure S3) and diameter of root hairs on the first-order lateral roots (Figure 6C).

3.3. Treatment × Variety Differences

Traits like the diameter of first-order lateral roots (P < 0.05) (Figure S1), density of third-order lateral roots (P < 0.05) (Figure S4), and diameter of root hair of first order lateral roots (P < 0.01) (Figure 6C) showed a significantly different salinity treatment × variety interaction (Table 2).

3.4. Trait Associations

The most apposite combination of the studied traits was obtained from the principal component analysis where the vector length on biplot exhibited the magnitude of variation explained by respective trait and variety-treatment combinations in the PCA (Figure 8). The first four principal components (PC) explained 62.4% of the total data variation for the effect of salinity stress on some important root and root hair traits. PC1, PC2, PC3, and PC4 explained 23.1%, 14.7%, 13.4%, and 11.1% data variation respectively (Table 3). PC1 accounted for a greater separation of Binasarisha-5 under control treatment from other interactions for a larger diameter of laterals and root hairs on third-order branches (Figure 8).
For measuring the mutual relationship among different root and root hair traits, correlation analyses were conducted. Length of third-order lateral roots was positively associated with the density of second-order lateral roots, and density of third-order lateral roots was negatively associated with the diameter of third-order lateral roots. The density of third-order lateral roots was also positively correlated with the length and density of second-order lateral roots, whereas it negatively correlated with the diameter of third-order lateral roots. The length of root hairs on first-order lateral roots was positively linked with the density of root hairs on first-order lateral roots and the length and density of root hairs on third-order lateral roots. The densities of root hairs on first- and third-order lateral roots were positively correlated (Table 4).

4. Discussion

4.1. Effects of Salinity Stress on Shoot and Root Morphologies

Under salt-treated conditions, salt injury scores reflected severity of damage to the leaf, flower and siliqua (Figure 4 and Figure 5). It is likely that drying of leaves under salinity stress is caused by excessive accumulation of the salt that enhanced leaf senescence [40]. In addition, degradation of chlorophyll molecules under salinity stress may have caused discoloration of leaves [41]. Similar results were reported in wheat and barley [42], tomato [43], Prosopis alba [44], and maize [45]. Wilting and drying of reproductive parts (i.e., flowers and fruits) were reported in canola [17] and peas [46]. These detrimental effects of salinity on plants were directed largely through osmotic stress, ion toxicity, and mineral deficiency [47,48,49,50].
Root system architecture and expansion is mostly regulated by water and nutrient uptake efficiency; however, these root processes are affected differently by excess salinity [51]. Plants use their root plasticity to survive in stress conditions [52,53]. An increase in the length of the third-order lateral root (Figure S2) in this study highlights root system plasticity under salt stress. In previous studies, a few contradictory results were reported related to root elongation. In a number of crops, such as rice, wheat, and Arabidopsis, the rate of root elongation decreased under salinity stress [54,55,56]. Again, in the cases of Arabidopsis thaliana [57] and Silene vulgaris [38], lateral roots were found to show promoted elongation. Elongation of roots is the result of cell division and cell expansion in the root apical meristem. We can assume that salinity may alter root elongation both by promoting and reducing cell division and expansion [58].
Root hairs contribute largely to root surface area [35]. In our study, length and density of root hairs as well as root surface area increased in the treated plants, whereas diameter decreased (Figure 6B; Figures S5–S7). Bates and Lynch [59] reported in Arabidopsis thaliana that low phosphorus availability increased root hair length and, thus, provided an opportunity to attain more nutrition. Robin et al. [36] found that root hair length and density in wheat were reduced after 12 days of salinity stress. In earlier reports, the root variables that contributed to root surface area were found to be reduced under stressed conditions [9,34,35,36,37]. Considering that root surface area is correlated with nutrient uptake potential, our results suggest that the Brassica napus genotypes, at the reproductive stage, increased their nutrient uptake potential as an adaptive mechanism under salinity stress. In this study, the leaves and young siliquae of the Binasarisha-5 variety were severely injured at day 5 and day 7 under treated conditions compared to control (Figure 5). At the same time, length of third-order lateral roots as well as length and diameter of root hairs of first-order lateral roots significantly increased (Figures S2 and S5). These results suggest that when shoot parts become severely injured, the Binasarisha-5 variety increases finer root production to increase the overall absorption area as an adaptive mechanism of stress tolerance and as a genotype-specific response.

4.2. Varietal Variations

Significant variations in root morphology between two rapeseed varieties (Table 2; Figure 6) indicated inter-cultivar genetic potentials [60,61,62]. Investigating the inter-cultivar genetic variation for salinity tolerance is important to improve their tolerance levels to abiotic stress [63]. Our study exposed the differences in magnitude of salinity effects between two varieties. Varietal differences in response to salinity depends on hereditary differences in morphological plasticity and physiological deviation [40].
Root interaction with a changing environment is a complex phenomenon that differs among genotypes and intensity of stress [26]. Identifying and understanding the pattern of genotype × environment is imperative in order to be able to conduct efficient genetic manipulations [7]. For that, different genotypes may respond contrarily under stressful conditions and show different magnitudes of tolerance or susceptibility to stress. Significant treatment × variety interactions for root and root hair traits in our study (Table 2; Figure 6C; Figures S1 and S4) indicated that the genotypes reacted differently under salinity stress. The trait-specific variation in salinity tolerance could be exploited in breeding for salinity tolerance through pyramiding tolerance traits.

4.3. Trait Associations

Root elongation and branching are the progressive developmental processes of root traits [5,64,65]. In root systems, divergence in the attributes for elongation and branching create morphological differences in length, diameter, and density of different-order roots [5,66,67]. Thus, the presence of a relationship among those traits is inevitable. However, a wide range of inter- and intra-specific variation is expected. Principal component analysis and correlation analysis revealed the relationship among the root and root hair traits in our study (Table 3 and Table 4; Figure 8). For example, length and density of root hairs had positive associations between them and had negative associations with the diameter of root hairs. The diameter and density of third-order lateral roots had a negative relationship, but the relationship for these two traits of root hairs remains uncertain, with contradictory results found in other studies even within the same species [68,69,70]. The relationship among the root and root hair traits obtained from the experiment gives novel insight into root and root hair trait associations and provides facts that can be exploited in further studies.

5. Conclusions

Salinity is one of the most injurious abiotic stresses for plants that alters different morphological and physiological traits of plants to an abnormal state. The Brassica napus genotypes responded broadly in terms of their physio-morphological features and differential tolerance to salinity stress. Our study found that salt stress significantly alters root hair traits as well as estimated root surface area, which in turn may represent a strategy to confront salt stress. The results of this study can be utilized to develop plants with improved root system architecture to acclimate to stressful conditions.

Supplementary Materials

The following are available online at https://www.mdpi.com/2223-7747/8/7/192/s1.

Author Contributions

A.H.K.R. conceived the idea; A.H.K.R., M.R.A., and M.T.I. designed the experiment; M.R.A. and M.T.I. managed the plants and collected the data; M.R.A and A.K.H.R. analyzed the data; M.R.A wrote the initial manuscript; and A.H.K.R. extensively revised and edited the manuscript. All authors approved the final version of the manuscript.

Funding

This experiment was funded by Bangladesh Agricultural University Research Systems (Grant No. 2018/604/BAU).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. USDA: United States Department of Agriculture, World Agricultural Production. Available online: https://apps.fas.usda.gov/psdonline/circulars/production.pdf (accessed on 29 November 2018).
  2. Anonymous. Yearbook of Agricultural Statistics 2017. Statistics and Informatics Division (SID), Ministry of Planning, Government of the People’s Republic of Bangladesh. 2017. Available online: http://bbs.portal.gov.bd/sites/default/files/files/bbs.portal.gov.bd/page/1b1eb817_9325_4354_a756_3d18412203e2/Yearbook-2017-Final-05-05-2018.pdf (accessed on 29 November 2018).
  3. Dickison, W.C. Integrative Plant Anatomy; Academic Press: Cambridge, MA, USA, 2000; p. 533. [Google Scholar]
  4. Atkinson, J.A.; Rasmussen, A.; Traini, R.; Voß, U.; Sturrock, C.; Mooney, S.J.; Wells, D.M.; Bennett, M.J. Branching out in roots: Uncovering form, function, and regulation. Plant Physiol. 2014, 166, 538–550. [Google Scholar] [CrossRef] [PubMed]
  5. Bellini, C.; Pacurar, D.I.; Perrone, I. Adventitious roots and lateral roots: Similarities and differences. Ann. Rev. Plant Biol. 2014, 65, 639–666. [Google Scholar] [CrossRef] [PubMed]
  6. Hochholdinger, F.; Park, W.J.; Sauer, M.; Woll, K. From weeds to crops: Genetic analysis of root development in cereals. Trends Plant Sci. 2004, 9, 42–48. [Google Scholar] [CrossRef] [PubMed]
  7. Zobel, R.W.; Waisel, Y. A plant root system architectural taxonomy: A framework for root nomenclature. Plant Biosyst. 2010, 144, 507–512. [Google Scholar] [CrossRef]
  8. Osmont, K.S.; Sibout, R.; Hardtke, C.S. Hidden branches: Developments in root system architecture. Ann. Rev. Plant Biol. 2007, 58, 93–113. [Google Scholar] [CrossRef] [PubMed]
  9. Wang, Y.; Zhang, W.; Li, K.; Sun, F.; Han, C.; Wang, Y.; Li, X. Salt-induced plasticity of root hair development is caused by ion disequilibrium in Arabidopsis thaliana. J. Plant Res. 2008, 121, 87–96. [Google Scholar] [CrossRef] [PubMed]
  10. Ahmad, P.; Azooz, M.M.; Prasad, M.N.V. Salt Stress in Plants; Springer: Heidelberg, Germany, 2013. [Google Scholar]
  11. Kauser, R.; Athar, H.U.R.; Ashraf, M. Chlorophyll fluorescence: A potential indicator for rapid assessment of water stress tolerance in canola (Brassica napus L.). Pak. J. Bot. 2006, 38, 1501–1509. [Google Scholar]
  12. Shah, S.H. Effects of salt stress on mustard as affected by gibberellic acid application. Gen. Appl. Plant Physiol. 2007, 33, 97–106. [Google Scholar]
  13. García Morales, S.; Trejo-Téllez, L.I.; Gómez Merino, F.C.; Caldana, C.; Espinosa-Victoria, D.; Herrera Cabrera, B.E. Growth, photosynthetic activity, and potassium and sodium concentration in rice plants under salt stress. Agronomy 2012, 34, 317–324. [Google Scholar]
  14. Qiu, N.; Lu, Q.; Lu, C. Photosynthesis, photosystem II efficiency and the xanthophyll cycle in the salt-adapted halophyte Atriplex centralasiatica. New Phytol. 2003, 159, 479–486. [Google Scholar] [CrossRef]
  15. Villalta, I.; Reina-Sánchez, A.; Bolarín, M.C.; Cuartero, J.; Belver, A.; Venema, K.; Asins, M.J. Genetic analysis of Na+ and K+ concentrations in leaf and stem as physiological components of salt tolerance in tomato. Theor. Appl. Gen. 2008, 116, 869–880. [Google Scholar] [CrossRef] [PubMed]
  16. Zhang, H.X.; Blumwald, E. Transgenic salt-tolerant tomato plants accumulate salt in foliage but not in fruit. Nat. Biotechnol. 2001, 19, 765. [Google Scholar] [CrossRef] [PubMed]
  17. Mahmoodzedah, H.; Bemani, M. Influence of salinity at early stage of flowering on the development of male gametophyte in canola (Brassica napus L.) cv. Symbol. Res. J. Environ. Sci. 2008, 2, 415–423. [Google Scholar] [CrossRef]
  18. Ashraf, M.; McNeilly, T. Salinity tolerance in Brassica oilseeds. Crit. Rev. Plant Sci. 2004, 23, 157–174. [Google Scholar] [CrossRef]
  19. Kumar, D. Salt tolerance in oilseed brassicas-present status and future prospects. Plant Breed. Abs. 1995, 65, 1439–1447. [Google Scholar]
  20. Maggio, A.; De Pascale, S.; Ruggiero, C.; Barbieri, G. Physiological response of field-grown cabbage to salinity and drought stress. Eur. J. Agron. 2004, 23, 57–67. [Google Scholar] [CrossRef]
  21. Badruddin, M.; Rhaman, M.M.; Nehar, N.A.; Hossain, M.M.; Hasan, M.B. Physiological characterization of mustard (Brassica sp.) genotypes for their salt tolerance. Pak. J. Biol. Sci. 2005, 8, 433–438. [Google Scholar]
  22. Jamil, M.; Lee, C.C.; Rehman, S.U.; Lee, D.B.; Ashraf, M.; Rha, E.S. Salinity (NaCl) tolerance of Brassica species at germination and early seedling growth. Electron. J. Environ. Agric. Food Chem. 2005, 4, 970–976. [Google Scholar]
  23. Jamil, M.; Lee, D.B.; Yung, K.Y.; Ashraf, M.; Lee, S.C.; Rha, E.S. Effect of salt (NaCl) stress on germination and early seedling growth of four vegetables species. J. Cent. Eur. Agric. 2006, 7, 273–281. [Google Scholar]
  24. An, P.; Inanaga, S.; Li, X.; Shimizu, H.; Tanimoto, E. Root characteristics in salt tolerance. Root Res. 2003, 12, 125–132. [Google Scholar] [CrossRef]
  25. Schleiff, U.; Muscolo, A. Fresh look at plant salt tolerance as affected by dynamics at the soil/root-interface using Leek and Rape as model crops. Eur. J. Plant Sci. Biotechnol. 2011, 5, 27–32. [Google Scholar]
  26. Schiefelbein, J.W. Constructing a plant cell: The genetic control of root hair development. Plant Physiol. 2000, 124, 1525–1531. [Google Scholar] [CrossRef] [PubMed]
  27. Ewens, M.; Leigh, R.A. The effect of nutrient solution composition on the length of root hairs of wheat (Triticum aestivum L.). J. Exp. Bot. 1985, 36, 713–724. [Google Scholar] [CrossRef]
  28. Cao, X.F.; Linstead, P.; Berger, F.; Kieber, J.; Dolan, L. Differential ethylene sensitivity of epidermal cells is involved in the establishment of cell pattern in the Arabidopsis root. Physiol. Plant. 1999, 106, 311–317. [Google Scholar] [CrossRef] [PubMed]
  29. Schikora, A.; Schmidt, W. Iron stress-induced changes in root epidermal cell fate are regulated independently from physiological responses to low iron availability. Plant Physiol. 2001, 125, 1679–1687. [Google Scholar] [CrossRef] [PubMed]
  30. Gilroy, S.; Jones, D.L. Through form to function: Root hair development and nutrient uptake. Trends Plant Sci. 2000, 5, 56–60. [Google Scholar] [CrossRef]
  31. Ma, Z.; Bielenberg, D.G.; Brown, K.M.; Lynch, J.P. Regulation of root hair density by phosphorus availability in Arabidopsis thaliana. Plant Cell Environ. 2001, 24, 459–467. [Google Scholar] [CrossRef]
  32. Müller, M.; Schmidt, W. Environmentally induced plasticity of root hair development in Arabidopsis. Plant Physiol. 2004, 134, 409–419. [Google Scholar] [CrossRef] [PubMed]
  33. Ali, G.; Srivastava, P.S.; Iqbal, M. Structural changes in root and shoot of Bacopa monniera in response to salt stress. J Plant Biol. 1999, 42, 222. [Google Scholar] [CrossRef]
  34. Haling, R.E.; Brown, L.K.; Bengough, A.G.; Young, I.M.; Hallett, P.D.; White, P.J.; George, T.S. Root hairs improve root penetration, root–soil contact, and phosphorus acquisition in soils of different strength. J. Exp. Bot. 2013, 64, 3711–3721. [Google Scholar] [CrossRef]
  35. Robin, A.H.K.; Saha, P.S. Morphology of lateral roots of twelve rice cultivars of Bangladesh: Dimension increase and diameter reduction in progressive root branching at the vegetative stage. Plant Root 2015, 9, 34–42. [Google Scholar] [CrossRef]
  36. Robin, A.H.K.; Matthew, C.; Uddin, M.J.; Bayazid, K.N. Salinity-induced reduction in root surface area and changes in major root and shoot traits at the phytomere level in wheat. J. Exp. Bot. 2016, 67, 3719–3729. [Google Scholar] [CrossRef] [PubMed]
  37. Huang, X.; Liu, Y.; Li, J.; Xiong, X.; Chen, Y.; Yin, X.; Feng, D. The response of mulberry trees after seedling hardening to summer drought in the hydro-fluctuation belt of Three Gorges Reservoir Areas. Environ. Sci. Pollut. Res. 2013, 20, 7103–7111. [Google Scholar] [CrossRef] [PubMed]
  38. Franco, J.A.; Arreola, J.; Vicente, M.J.; Martinez-Sanchez, J.J. Nursery irrigation regimes affect the seedling characteristics of Silene vulgaris as they relate to potential performance following transplanting into semi-arid conditions. J. Hort. Sci. Biotechnol. 2008, 83, 15–22. [Google Scholar] [CrossRef]
  39. Hogland, D.R.; Arnon, D.I. The water-culture method for growing plants without soil. Circ. Calif. Agric. Exp. Stn. 1950, 347, 32. [Google Scholar]
  40. Siddiqui, M.H.; Mohammad, F.; Khan, M.N. Morphological and physio-biochemical characterization of Brassica juncea L. Czern. & Coss. genotypes under salt stress. J. Plant Interact. 2009, 4, 67–80. [Google Scholar]
  41. Reddy, M.P.; Vora, A.B. Changes in pigment composition, Hill reaction activity and saccharides metabolism in Bajra (Pennisetum typhoides S & H) leaves under NaCl salinity. Photosynthetica 1986, 20, 50–55. [Google Scholar]
  42. Munns, R.; Schachtman, D.P.; Condon, A.G. The significance of a two-phase growth response to salinity in wheat and barley. Funct. Plant Biol. 1995, 22, 561–569. [Google Scholar] [CrossRef]
  43. Dasgan, H.Y.; Aktas, H.; Abak, K.; Cakmak, I. Determination of screening techniques to salinity tolerance in tomatoes and investigation of genotype responses. Plant Sci. 2002, 163, 695–703. [Google Scholar] [CrossRef]
  44. Meloni, D.A.; Gulotta, M.R.; Martínez, C.A.; Oliva, M.A. The effects of salt stress on growth, nitrate reduction and proline and glycinebetaine accumulation in Prosopis alba. Braz. J. Plant Physiol. 2004, 16, 39–46. [Google Scholar] [CrossRef]
  45. Mansour, M.M.F.; Salama, K.H.A.; Ali, F.Z.M.; Abou Hadid, A.F. Cell and plant responses to NaCl in Zea mays L. cultivars differing in salt tolerance. Gen. Appl. Plant Physiol. 2005, 31, 29–41. [Google Scholar]
  46. Dhingra, H.R.; Sharma, P.K. Reproductive performance of pea (Pisum sativum L.) under saline conditions. Ind. J. Plant Physiol. 1992, 35, 198. [Google Scholar]
  47. Zhu, J.K. Plant salt tolerance. Trends Plant Sci. 2001, 6, 66–71. [Google Scholar] [CrossRef]
  48. Munns, R. Comparative physiology of salt and water stress. Plant Cell Environ. 2002, 25, 239–250. [Google Scholar] [CrossRef] [PubMed]
  49. Flowers, T.J. Improving crop salt tolerance. J. Exp. Bot. 2004, 55, 307–319. [Google Scholar] [CrossRef] [PubMed]
  50. Netondo, G.W.; Onyango, J.C.; Beck, E. Sorghum and salinity: I. Response of growth, water relations, and ion accumulation to NaCl salinity. Crop Sci. 2004, 44, 797–805. [Google Scholar] [CrossRef]
  51. Bernstein, N.; Kafkafi, U. Root growth under salinity stress. In Plant Roots: The Hidden Half; Waisel, Y., Eshel, Y., Kafkafi, U., Eds.; Marcel Dekker: New York, NY, USA, 2002; pp. 787–805. [Google Scholar]
  52. Bell, D.L.; Sultan, S.E. Dynamic phenotypic plasticity for root growth in Polygonum: A comparative study. Am. J. Bot. 1999, 86, 807–819. [Google Scholar] [CrossRef] [PubMed]
  53. Kano, M.; Inukai, Y.; Kitano, H.; Yamauchi, A. Root plasticity as the key root trait for adaptation to various intensities of drought stress in rice. Plant Soil 2011, 342, 117–128. [Google Scholar] [CrossRef]
  54. Jones, M.P. Genetic analysis of salt tolerance in mangrove swamp rice. Rice Genet. 1985, 411–422. [Google Scholar] [CrossRef]
  55. Zhu, J.K.; Liu, J.; Xiong, L. Genetic analysis of salt tolerance in Arabidopsis: Evidence for a critical role of potassium nutrition. Plant Cell 1998, 10, 1181–1192. [Google Scholar] [CrossRef]
  56. Jbir, N.; Chaibi, W.; Ammar, S.; Jemmali, A.; Ayadi, A. Root growth and lignification of two wheat species differing in their sensitivity to NaCl, in response to salt stress. C. R. Acad. Sci. 2001, 324, 863–868. [Google Scholar] [CrossRef]
  57. Wang, Y.; Li, K.; Li, X. Auxin redistribution modulates plastic development of root system architecture under salt stress in Arabidopsis thaliana. J. Plant Physiol. 2009, 166, 1637–1645. [Google Scholar] [CrossRef] [PubMed]
  58. West, G.; Inzé, D.; Beemster, G.T. Cell cycle modulation in the response of the primary root of Arabidopsis to salt stress. Plant Physiol. 2004, 135, 1050–1058. [Google Scholar] [CrossRef] [PubMed]
  59. Bates, T.R.; Lynch, J.P. Stimulation of root hair elongation in Arabidopsis thaliana by low phosphorus availability. Plant Cell Environ. 1996, 19, 529–538. [Google Scholar] [CrossRef]
  60. Caradus, J.R. Selection for root hair length in white clover (Trifolium repens L.). Euphytica 1979, 28, 489–494. [Google Scholar] [CrossRef]
  61. Haling, R.E.; Richardson, A.E.; Culvenor, R.A.; Lambers, H.; Simpson, R.J. Root morphology, root-hair development and rhizosheath formation on perennial grass seedlings is influenced by soil acidity. Plant Soil 2010, 335, 457–468. [Google Scholar] [CrossRef]
  62. Robin, A.H.K.; Uddin, M.J.; Afrin, S.; Paul, P.R. Genotypic variations in root traits of wheat varieties at phytomer level. J. Bangladesh Agric. Univ. 2014, 12, 45–54. [Google Scholar] [CrossRef] [Green Version]
  63. Noreen, Z.; Ashraf, M. Inter-accessional variation for salt tolerance in pea (Pisum sativum L.) at germination and screening stage. Pak. J. Bot. 2007, 39, 2075–2085. [Google Scholar]
  64. Malamy, J.E.; Benfey, P.N. Organization and cell differentiation in lateral roots of Arabidopsis thaliana. Development 1997, 124, 33–44. [Google Scholar]
  65. Nibau, C.; Gibbs, D.J.; Coates, J.C. Branching out in new directions: The control of root architecture by lateral root formation. New Phytol. 2008, 179, 595–614. [Google Scholar] [CrossRef]
  66. Fitter, A.H. An architectural approach to the comparative ecology of plant-root systems. New Phytol. 1987, 106, 61–77. [Google Scholar] [CrossRef]
  67. Gruber, B.D.; Giehl, R.F.H.; Friedel, S.; von Wirén, N. Plasticity of the Arabidopsis root system under nutrient deficiencies. Plant Physiol. 2013, 163, 161–179. [Google Scholar] [CrossRef] [PubMed]
  68. Ju, C.; Zhang, W.; Liu, Y.; Gao, Y.; Wang, X.; Yan, J.; Li, J. Genetic analysis of seedling root traits reveals the association of root trait with other agronomic traits in maize. BMC Plant Biol. 2018, 18, 171. [Google Scholar] [CrossRef] [PubMed]
  69. Lecompte, F.; Pagès, L. Apical diameter and branching density affect lateral root elongation rates in banana. Environ. Exp. Bot. 2007, 59, 243–251. [Google Scholar] [CrossRef]
  70. Lecompte, F.; Pagès, L.; Ozier-Lafontaine, H. Patterns of variability in the diameter of lateral roots in the banana root system. New Phytol. 2005, 167, 841–850. [Google Scholar] [CrossRef] [PubMed]
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Figure 1. A typical root system architecture of Brassica napus. Root hairs appear on the main axis and all types of lateral roots.
Figure 1. A typical root system architecture of Brassica napus. Root hairs appear on the main axis and all types of lateral roots.
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Plants 08 00192 g002 550
Figure 2. Leaf injury scoring for salinity stress.
Figure 2. Leaf injury scoring for salinity stress.
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Plants 08 00192 g003 550
Figure 3. Measurement of root hair traits under microscope (a) first-order lateral root of Binasarisha-5 in control conditions, and (b) first-order lateral root of BARI sarisha-8 in 100 mM NaCl treated conditions.
Figure 3. Measurement of root hair traits under microscope (a) first-order lateral root of Binasarisha-5 in control conditions, and (b) first-order lateral root of BARI sarisha-8 in 100 mM NaCl treated conditions.
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Plants 08 00192 g004 550
Figure 4. Effect of salinity on the reproductive organs at 7 d after treatment. (a) Inflorescence under control conditions; (b) inflorescence under 100 mM NaCl; (c) siliquae at control conditions; and (d) siliquae under 100 mM NaCl.
Figure 4. Effect of salinity on the reproductive organs at 7 d after treatment. (a) Inflorescence under control conditions; (b) inflorescence under 100 mM NaCl; (c) siliquae at control conditions; and (d) siliquae under 100 mM NaCl.
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Plants 08 00192 g005 550
Figure 5. Injury scoring of two rapeseed genotypes, under control and 100 mM NaCl treated conditions at the reproductive stage, in a heat map created using conditional formatting in Microsoft Excel (Supplementary Datasheet 1). DAT, days after treatment. Each data point is the median value of five independent observations. Green, yellow, and red colors represent no, moderate, and severe injury levels.
Figure 5. Injury scoring of two rapeseed genotypes, under control and 100 mM NaCl treated conditions at the reproductive stage, in a heat map created using conditional formatting in Microsoft Excel (Supplementary Datasheet 1). DAT, days after treatment. Each data point is the median value of five independent observations. Green, yellow, and red colors represent no, moderate, and severe injury levels.
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Plants 08 00192 g006 550
Figure 6. (A) Density of second-order lateral roots, (B) length of root hairs originating on first-order lateral roots, (C) diameter of root hairs originating on first-order lateral roots, and (D) length of root hairs originating on third-order lateral roots of two rapeseed varieties under 0 mM and 100 mM NaCl treatments. Vertical bars indicate standard error of mean of four replicates against each variable. Different letters indicate significant differences among the genotype × treatment interactions.
Figure 6. (A) Density of second-order lateral roots, (B) length of root hairs originating on first-order lateral roots, (C) diameter of root hairs originating on first-order lateral roots, and (D) length of root hairs originating on third-order lateral roots of two rapeseed varieties under 0 mM and 100 mM NaCl treatments. Vertical bars indicate standard error of mean of four replicates against each variable. Different letters indicate significant differences among the genotype × treatment interactions.
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Figure 7. Estimated root surface area of two rapeseed varieties under 0 mM and 100 mM NaCl treatments. Vertical bars indicate standard error of mean of four replicates against each variable. Different letters indicate significant differences among the genotype × treatment interactions.
Figure 7. Estimated root surface area of two rapeseed varieties under 0 mM and 100 mM NaCl treatments. Vertical bars indicate standard error of mean of four replicates against each variable. Different letters indicate significant differences among the genotype × treatment interactions.
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Figure 8. Biplot of root and root hair traits. BARI-8.C = BARI Sarisha-8 under Control, BARI-8.T = BARI Sarisha-8 under Treated condition, BINA-5.C = Binasarisha-5 Control, BINA-5.T = Binasarisha-5 under Treated condition, FRd = Diameter of first-order lateral roots, SRD = Density of second-order lateral roots, TRL = Length of third-order lateral roots, TRd = Diameter of third-order lateral roots, TRD = Density of third-order lateral roots, RHLf = Length of root hairs on first-order lateral roots, RHdf = Diameter of root hairs on first-order lateral roots, RHDf = Density of root hairs on first-order lateral roots, RHLt = Length of root hairs on third-order lateral roots, and RHdt = Diameter of root hairs on third-order lateral roots.
Figure 8. Biplot of root and root hair traits. BARI-8.C = BARI Sarisha-8 under Control, BARI-8.T = BARI Sarisha-8 under Treated condition, BINA-5.C = Binasarisha-5 Control, BINA-5.T = Binasarisha-5 under Treated condition, FRd = Diameter of first-order lateral roots, SRD = Density of second-order lateral roots, TRL = Length of third-order lateral roots, TRd = Diameter of third-order lateral roots, TRD = Density of third-order lateral roots, RHLf = Length of root hairs on first-order lateral roots, RHdf = Diameter of root hairs on first-order lateral roots, RHDf = Density of root hairs on first-order lateral roots, RHLt = Length of root hairs on third-order lateral roots, and RHdt = Diameter of root hairs on third-order lateral roots.
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Table
Table 1. Criteria for scoring visual salt injury in rapeseed at the reproductive stage.
Table 1. Criteria for scoring visual salt injury in rapeseed at the reproductive stage.
ScoreLeavesFlowersSiliquae
1Normal color and growthHealthy and of normal color, blossomingNormal color and growth
3Nearly normal conditions, but leaf tip discoloration and wilting have startedBud does not blossom properly, opened bud has started shrinkingNearly normal, but slight discoloration has started
5The leaf has rolled, most of the leaf has discolored and started to dryPetal compacted or twisted; young bud has started to die instead of blossomingNo further growth or very slow growth, discolored
7The leaf is mostly dry and totally discoloredunopened flower bud has died, open flower has dried Growth totally ceased, drying
9The leaf is dead or near deathMost of the bud is dead or near deathSiliquae dead or near death
Table
Table 2. Mean squares of the respective sources of variances with significance levels under salinity stress for lateral root and root hair traits.
Table 2. Mean squares of the respective sources of variances with significance levels under salinity stress for lateral root and root hair traits.
Source of VariationdfLateral Root TraitsRoot Hair Traits
First OrderSecond OrderThird OrderOn First OrderOn Third Order
DiameterDensityDiameterDensityLengthDiameterDensityLength
Treatments (T)10.080.470.00060.750.58 ***5.39330.310.05 *
Varieties (V)10.14 *123.49 ***0.0165 **4.57 *0.0061.56 *535.39 *0.11 **
T × V10.17 *3.750.00244.27 *0.0698.56 **0.160.00
Error600.032.990.00221.030.059.14130.960.01
*, **, and *** = Significant at ≤ 5%, ≤ 1%, and ≤ 0.1% levels of probability, respectively.
Table
Table 3. Coefficients of principal components (PCs) and mean PC scores of each genotype × treatment combination. Different letters indicate significant differences among the genotype × treatment interactions after Tukey’s pairwise comparisons.
Table 3. Coefficients of principal components (PCs) and mean PC scores of each genotype × treatment combination. Different letters indicate significant differences among the genotype × treatment interactions after Tukey’s pairwise comparisons.
VariablePC1PC2PC3PC4
Lateral roots1st orderDiameter0.284−0.3540.5040.225
2nd orderDensity0.4240.1940.160.125
3rd orderLength 0.360.493−0.114−0.112
3rd orderDiameter−0.289−0.1720.224−0.286
3rd orderDensity0.4160.082−0.1310.257
Root hairs on1st orderLength0.3−0.456−0.048−0.502
1st orderDiameter0.0570.1190.381−0.546
1st orderDensity0.283−0.068−0.55−0.392
3rd orderLength0.405−0.0440.331−0.018
3rd orderDiameter−0.1310.5740.283−0.262
% Variation explained23.114.713.411.1
P-value< 0.0014.941.219.2
Mean PC scores with standard error
BARI Sarisha-8. Control0.61 ± 0.36 ab0.35 ± 0.34 a0.3 ± 0.46 a0.23 ± 0.18 ab
Binasarisha-5. Control−1.55 ± 0.28 c0.32 ± 0.25 a−0.05 ± 0.16 a−0.02 ± 0.26 ab
BARI Sarisha-8. Treated1.17 ± 0.27 ab0.003 ± 0.31 ab−0.36 ± 0.21 a0.25 ± 0.34 ab
Binasarisha-5. Treated−0.11 ± 0.24 b−0.86 ± 0.36 b0.27 ± 0.47 a−0.58 ± 0.23 b
Table
Table 4. Pearson correlation coefficients among root and root hair traits.
Table 4. Pearson correlation coefficients among root and root hair traits.
Lateral Root TraitsRoot Hair Traits
First OrderSecond OrderThird OrderOn First OrderOn Third Order
DiameterLength DensityLength DiameterDensityLengthDiameterDensityLengthDiameter
Lateral2nd orderLength0.20
2nd orderDensity0.230.13
3rd orderLength0.02−0.150.39 **
3rd orderDiameter−0.06−0.03−0.14−0.30 *
3rd orderDensity0.200.37 **0.31 *0.35 **−0.27 *
Root hairs on1st orderLength0.230.200.050.020.000.11
1st orderDiameter0.09−0.22−0.120.10−0.02−0.020.15
1st orderDensity−0.14−0.090.110.23−0.120.200.35 **−0.08
3rd orderLength0.32 *0.010.32 *0.09−0.150.140.27 *0.010.09
3rd orderDiameter−0.23−0.39 **0.020.080.15−0.15−0.250.13−0.150.12
3rd orderDensity0.240.120.110.09−0.240.240.27 *0.250.32 *0.18−0.18
* and ** = Significant at ≤ 5% and ≤ 1% levels of probability, respectively.

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Arif, M.R.; Islam, M.T.; Robin, A.H.K. Salinity Stress Alters Root Morphology and Root Hair Traits in Brassica napus. Plants 2019, 8, 192. https://doi.org/10.3390/plants8070192

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Arif MR, Islam MT, Robin AHK. Salinity Stress Alters Root Morphology and Root Hair Traits in Brassica napus. Plants. 2019; 8(7):192. https://doi.org/10.3390/plants8070192

Chicago/Turabian Style

Arif, Mohammad Rashid, M. Thoihidul Islam, and Arif Hasan Khan Robin. 2019. "Salinity Stress Alters Root Morphology and Root Hair Traits in Brassica napus" Plants 8, no. 7: 192. https://doi.org/10.3390/plants8070192

APA Style

Arif, M. R., Islam, M. T., & Robin, A. H. K. (2019). Salinity Stress Alters Root Morphology and Root Hair Traits in Brassica napus. Plants, 8(7), 192. https://doi.org/10.3390/plants8070192

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