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. 2024 Oct 7;12:781. Originally published 2023 Jul 5. [Version 5] doi: 10.12688/f1000research.137322.5

Effects of priming duration and rhizosphere bacteria metabolite concentration on the germinability of cowpea, soybean, sesame, and okra seeds

Oghenerobor Akpor 1,a, Ayotunde Ajinde 1, Tolulope Ogunnusi 1
PMCID: PMC11450368  PMID: 39372259

Version Changes

Revised. Amendments from Version 4

The reviewer suggested improvements to grammar, keywords, and the materials and methods section. The latest version of this manuscript adequately reflects these suggestions.

Abstract

Seed priming enhances germination and growth, which are important determinants of crop yield. This study was carried out to assess the effect of priming duration and metabolite concentration on the priming of five (5) different crops, using the metabolites of five (5) bacterial isolates. The crop seeds were treated in the cold-extracted metabolites of the five isolates at five (5) different priming durations (1, 2, 3, 4, and 5 h) and then in five metabolite concentrations (200, 400, 600, 800, and 1000 mg/L) of the five extracted metabolites at the optimal priming duration determined in the first experiment. Characterization of the cold-extracted metabolites was also carried out using gas-chromatography-mass spectrometry (GC-MS). Results revealed that priming cowpea and soybean for longer durations (< 3 h) could hinder their growth and development. Lower concentrations were observed to be optimal for cowpea and soybean, but for sesame and okra, there was no detectable pattern with metabolite concentration. The GC-MS revealed the presence of some molecules (e.g. hexadecanoic acid) that have shown plant growth promotion potential in other studies. This study showed that seeds with large endosperm, such as, cowpea and soybean, are more prone to the deleterious effects of treatment for longer durations. Further experiments should be carried out to isolate and purify the bioactive moieties for further studies and onward application.

Keywords: Germinability, rhizobacteria, germinability, seed vigor

Introduction

Seeds are critical inputs in agricultural production. Hence, it is expedient to plant only seeds that can produce the best agronomic performance. To this end, seed priming has been proposed and used. The beneficial effects of seed priming on a variety of crops have been confirmed. 14 Although priming, as a plant-growth enhancement technique, can be applied at many stages in the developmental cycle of a plant, seed treatment is popular due to its practicality and simplicity.

Priming usually involves soaking seeds in a solution to kickstart various pre-germinative activities, 5 , 6 and it typically requires re-drying the seed before planting. 7 Several priming methods are used to enhance the agro-morphic parameters of crop seeds. Hydropriming involves priming seeds in water 8 ; osmopriming entails the use of an osmoticum 9 ; halopriming involves soaking in salt solutions 10 ; solid-matrix priming involves priming on a solid material 11 ; and hormonal priming, which requires the use of plant growth regulators such as abscisic acid (ABA), 12 , 13 gibberellic acids (GAs) 5 or salicylic acid (SA). 14 16 Biopriming, which involves using microbial products, is a relatively new priming strategy that offers the advantage of environmental friendliness and may also be less expensive than most of the priming methods available.

Seed priming can enhance germination, reduce germination time, and improve seedling vigor. 17 Priming also increases the resistance of seeds to environmental stress. 18 Although the exact mechanism of priming is not well understood, it is understood to involve specific physiological and biochemical reactions. 19 , 20

Optimal priming duration is plant-specific due to seed structures that are unique morphologically and physiologically. Since bacteria secret substances that can promote plant growth, 21 , 22 the determination of their effective concentration is necessary for wholesome application. Optimal concentrations of chemicals used in priming have been determined. 23 25

However, while there is ample research on other priming methods, microbial priming is less well-researched, and their optimization is even less so. Hence, we set out to understand the impact of priming duration and metabolite concentration on the growth promotion activity of secondary metabolites on selected crops (cowpea, soybean, sesame, and okra) vis-a-vis some agro-morphic parameters by sowing seeds soaked in metabolites of some previously-isolated bacteria immediately without drying. The crops used for priming in this study are of significant economic importance in tropical regions where they are a vital source of dietary requirements. Therefore, it is necessary to boost their production, and seed priming is a veritable tool for achieving this end.

Methods

Isolation

Seventy-five (75) bacterial strains were isolated from rhizospheres within Afe Babalola University (Ado-Ekiti, Nigeria) using the pour-plate technique, as reported by Sanders. 26 The five (5) strains used in this study were chosen based on their germinability enhancement potential observed from a previous in planta experiment using seeds (data not presented here). Pure cultures of the five (5) strains were stored on nutrient agar slants at 4 °C ± 2 °C until needed.

Molecular identification

The identification of the 15 rhizobacterial strains was done using the 16s rRNA gene sequencing technique. The CTAB protocol was used in DNA extraction. 27 Subsequently, the V3-V4 hypervariable regions of the 16s rRNA gene were amplified using 27F 5′ AGAGTTTGATCMTGGCTCAG 3′ and 1525R 5′ AAGGAGGTGATCCAGCC 3′ primers and the PCR conditions (profile) comprised an initial denaturation at 94 °C for 5 min; followed by 30 cycles consisting of 94 °C for 30 s, annealing at 50 °C for 60 s, and extension at 72 °C for 1 min 30 s; and a final extension at 72 °C for 10 mins, in a GeneAmp 9700 PCR System Thermalcycler (Applied Biosystem Inc., USA). The integrity check of the amplified products was carried out using 1% Agarose gel and purified using 95% ethanol and 3M of sodium acetate. The purified PCR products were sequenced using a Genetic Analyzer 3130xl sequencer (Applied Biosystem Inc., USA) according to the manufacturer’s instructions. The sequences were compared to those in a database for identification via the NCBI site (BLAST). Then, the 16S rRNA sequences were aligned using the ClustalW program, and the neighbor-joining phylogenetic tree was constructed using MEGA 11. 28 The isolates were identified as OP830504Serratia liquefaciens AYO-O; OP830503S. liquefaciens AYO-N; OP830491Providencia rettgeri AYO-B; OP830498P. rettgeri AYO-I; and OP830501Bacillus cereus AYO-L.

Test seeds

The seeds used for the study were cowpea ( Vigna unguiculata), soybean ( Glycine max), sorghum ( Sorghum bicolor), sesame ( Sesamum indicum), and okra ( Abelmoschus esculentus). All the seeds were sourced from a local seed dealer in Ado-Ekiti (Ekiti State, Nigeria).

First, a test was carried out on seeds to assess their viability. For this, over (500) seeds were released into a beaker containing 500 mL of sterile, distilled water, and floated (non-viable) seeds were collected and discarded, and the water decanted. From the remaining seeds, 50 were sown in four replicates on 3.5 grams of absorbent cotton wool placed within transparent plastic containers measuring 100 mm by 40 mm by 20 mm. Incubation was under fluorescent light with daily watering for five (5) days under laboratory conditions. A final germination percentage of 80% was indicative of good germination potential (seed quality) for all the seeds, except okra at 60%.

Test metabolites

The metabolites were extracted from the cultures of the five strains: A = OP830504Serratia liquefaciens AYO-O; B = OP830503S. liquefaciens AYO-N; C = OP830491Providencia rettgeri AYO-B; D = OP830498P. rettgeri AYO-I; and E = OP830501Bacillus cereus AYO-L.

The cold extraction method reported by Ref. 29 was adopted. The 48-hour broth cultures of the isolates grown for 48 h at 25 °C ± 2 °C were centrifuged at 5000 rpm for 15 min to obtain the cell-free supernatants, which were acidified to a pH of 2 by the addition of 1M HCl. Following acidification, an equal volume of methanol:ethylacetate (1:2) mixture was added and incubated at 4 °C ± 2 °C for 24 h. After incubation, the mixtures were transferred to a separating funnel to separate the solvent from the broth and precipitate the metabolite. The precipitated metabolite was then dried by placing the beakers containing the separated solvents in a water bath at a temperature of 80 °C. The dried metabolite was then quantified and stored in clean universal bottles at 4 °C ± 2 °C until needed.

Metabolite characterization

Metabolite identification was carried out using a gas chromatograph (GC) connected to a mass spectrometer (Varian 3800/4000; Agilent Technologies, USA). The equipment has a splitter split/splitless HP5 (30 mm × 0.25 mm) silica-based, cross-linked column with nitrogen as a gas carrier. The injector and detector temperatures were set at 300 °C. The GC temperature regimen started at 50 °C, increased to 100 °C with a ramp rate of 10 °C/min, held at 100 °C for 2 minutes and then increased to 250 °C at the rate of 5 °C/min for 2 mins. The temperature was finally raised to 300 °C with a ramp rate of 3 °C/min for 15 min. A sample volume of 1 uL was used and the carrier gas at a rate of 1 mL/min. The MS was scanned from 30–400 amu at 1.562 u/s and operated in EI mode at 70 eV. The mass spectral data were compared with those of the National Institute of Standards and Technology (NIST) and Wiley libraries. Only the mass spectral data of compounds with at least 90% matching accuracy were reported.

Germinability studies

Germinability experiments were carried out to investigate the effects of priming duration and metabolite concentration on the seeds.

The investigation of the effect of priming duration on the germinability of the seeds was carried out for 1, 2, 3, 4, or 5 h. Viable, surface-sterilized seeds of the four seeds were treated in a 1000 mg/L (water dilution) of the five metabolites. Every one hour, for a 5-h duration, seven (7) seeds were withdrawn and planted in transparent plastic cups in six (6) replicates and incubated for 8 days with daily watering. At the expiration of incubation, final germination percentage, mean germination time, germination index, and vigor index were estimated as follows:

  • Final germination percentage (FGP) = total number of germinated seeds/total number of seeds sown×100% 30

  • Mean germination time (MGT) = ∑fxf 31

    Where f is the number of seeds germinated on day x

  • Germination index (GIX) = 8×N1+7×N2+6×N3+ … +1×N8 32

    Where N1, N2, N3 … N8 represent the number of seeds that germinated on the first, second, and third until the 8th day, and 8, 9, 7 … 1 are the weights given to the number of germinated seeds on the first, second, and third day up to the 8th day.

  • Vigor index (VIX) = FGP × average plant height 33

To determine the effect of metabolite concentration, 200 mg/L, 400 mg/L, 600 mg/L, 800 mg/L, and 1000 mg/L (water dilutions) were used for the study. The seeds were treated in the respective metabolite concentrations and allowed to stand for the optimal priming time obtained in the first experiment before planting and incubation using six (6) replicates. At the expiration of the 8-day incubation period, final germination percentage, mean germination time, germination index, and vigor index were estimated as described earlier.

Results

Effect of priming duration in metabolites

Generally, the final germination percentage of the cowpea seeds showed significantly higher and lower values in seeds treated for 2 and 5 h, 1 and 5 h, 1, 2, and 3 and 4 h in the metabolites from Isolates K, L, and M, respectively. There was no significant difference in final germination percentage at the different priming durations for seeds treated in the metabolite from Isolate N. In addition, seeds treated with the metabolite from Isolate O showed significantly lower final germination percentage values at 3 and 5 h. For mean germination time, the significantly lower values were recorded for seeds primed for 1 h (metabolites from Isolates K and M), 4 and 5 h (metabolite from isolate L), 1, 4, and 5 h (metabolites from Isolate N), and 1, 2, and 4 (metabolite from Isolate O). Germination index showed significantly lower values at 3 h (metabolite from Isolate L), 4 and 5 h (metabolite from Isolate M), 1-3 h (metabolite from Isolate N), and 3 and 5 h (metabolite from Isolate O). For vigor index, significantly lower values were observed at 2, 4, and 5 h (metabolite from Isolate M), 1, 3, and 5 h (metabolite from Isolate N), and 4 and 5 h (metabolite from Isolate O). Also, germination and vigor index values of the seeds showed significantly lower values in setups treated for 5 h (metabolites K and L) ( Table 1). Probability values are shown in supplementary file 1.

Table 1. Germinability of the cowpea seeds at the different priming durations in the respective metabolites.

Parameter Time Isolate K Isolate L Isolate M Isolate N Isolate O
FPG 1 h 71.43 a (±0.00) 78.57 a (±7.82) 85.71 a (±0.00) 64.29 a (±7.82) 78.57 a (±7.82)
2 h 85.71 b (±15.65) 64.29 b (±7.82) 71.43 ac (±15.65) 78.57 a (±7.82) 78.57 a (±7.82)
3 h 71.43 a (±0.00) 42.86 c (±15.65) 71.43 ac (±31.30) 71.43 a (±0.00) 50.00 b (±23.47)
4 h 71.43 a (±0.00) 57.14 b (±0.00) 50.00 b (±7.82) 78.57 a (±23.47) 78.57 a (±7.82)
5 h 54.29 c (±15.65) 21.43 d (±7.82) 64.29 bc (±7.82) 78.57 a (±7.82) 64.29 ab (±23.47)
MGT 1 h 5.14 a (±0.05) 5.45 a (±0.25) 5.04 a (±0.04) 5.14 a (±0.06) 5.24 a (±0.06)
2 h 5.51 b (±0.15) 5.37 ab (±0.01) 5.34 b (±0.02) 5.36 b (±0.08) 5.25 a (±0.17)
3 h 5.32 c (±0.04) 5.23 b (±0.00) 5.39 b (±0.06) 5.40 b (±0.17) 5.40 b (±0.16)
4 h 5.43 b (±0.08) 5.11 c (±0.00) 5.41 b (±0.10) 5.21 a (±0.11) 5.25 a (±0.07)
5 h 5.38 bc (±0.08) 5.25 bc (±0.27) 5.57 c (±0.07) 5.24 a (±0.06) 5.45 b (±0.15)
GIX 1 h 129.50 a (±3.83) 120.00 a (±29.58) 164.50 a (±3.83) 116.00 ab (±18.62) 133.50 a (±8.22)
2 h 125.00 a (±33.96) 101.50 a (±11.50) 115.50 b (±26.84) 124.00 ab (±18.62) 133.00 a (±0.00)
3 h 116.00 a (±3.29) 73.50 b (±26.84) 112.50 b (±53.13) 110.00 b (±10.95) 79.00 b (±44.91)
4 h 109.00 a (±4.38) 105.00 a (±0.00) 77.00 c (±7.67) 133.50 a (±31.22) 131.00 a (±9.86)
5 h 84.40 b (±19.72) 35.00 c (±7.67) 89.50 bc (±16.98) 133.50 a (±8.22) 93.00 b (±25.20)
VIX 1 h 818.88 a (±69.86) 862.35 a (±163.31) 1578.37 a (±104.63) 783.78 a (±215.62) 943.06 ab (±2.46)
2 h 1212.14 b (±240.22) 575.61 b (±130.67) 697.76 bc (±202.77) 1390.10 b (±258.55) 1064.49 a (±77.35)
3 h 788.78 a (±32.42) 323.67 c (±239.21) 888.57 c (±625.97) 700.51 a (±100.04) 608.47 b (±535.09)
4 h 877.55 a (±125.19) 507.35 b (±66.62) 343.98 b (±156.16) 1305.20 b (±800.23) 556.43 c (±266.37)
5 h 434.12 c (±247.37) 37.55 d (±29.51) 353.88 b (±68.41) 999.18 ab (±229.37) 466.53 c (±347.41)

Values are averages of six replicates. Values in parenthesis represent ± standard deviations of means. Same and different superscripts on same column for a particular factor connote no significant difference and significant difference, respectively. K, L, M, N, and O represent Serratia liquefaciens, (OP830504), S. liquefaciens (OP830503), Providencia rettgeri (OP830491), P. rettgeri (OP830498), and Bacillus cereus (OP830501). FPG = final percent germination, MGT = mean germination time, GIX = germination index, and VIX = vigor index.

In the case of the soybean seeds, the final germination percentage of the seeds showed the highest values at 2 h priming duration when treated in the respective metabolites, apart from those treated in Isolate O, where 1 h priming duration was observed to show the highest value. Furthermore, significantly lower mean germination times were recorded in seeds primed for 1, 2, and 3 h, 1 and 2 h, 1, 4, and 5 h in the metabolites from isolates L, M and N, respectively, and 2 h in the metabolites from Isolate K, and 1, 3, and 4 h in the metabolite from Isolate O. However, significantly higher germination index was observed in the seeds treated for 1 and 2 h in Metabolite K, 2 h in Metabolite L, 1-3 h in Metabolite M, 2 and 3 h in Metabolite N, and 1 h in Metabolite O. Also, for seedling vigor index, significantly higher values were observed at 2 h (Metabolites K and L), 1, 3, 4, and 5 h (Metabolite M), 2 and 3 h (Metabolite N), and 1 h (Metabolite O) ( Table 2). Probability values are shown in supplementary file 2.

Table 2. Germinability of the soybean seeds at the different priming durations in the respective metabolites.

Parameter Time Isolate K Isolate L Isolate M Isolate N Isolate O
FPG 1 h 64.29 a (±7.82) 50.00 ad (±7.82) 57.14 ac (±15.65) 50.00 a (±7.82) 85.71 a (±0.00)
2 h 71.43 a (±15.65) 64.29 b (±7.82) 71.43 b (±0.00) 78.57 b (±7.82) 57.14 bc (±0.00)
3 h 42.86 b (±15.65) 42.86 a (±0.00) 71.43 b (±0.00) 71.43 b (±15.65) 50.00 b (±7.82)
4 h 57.14 ab (±15.65) 57.14 bd (±0.00) 50.00 a (±7.82) 57.14 a (±0.00) 50.00 b (±7.82)
5 h 57.14 ab (±0.00) 50.00 ad (±7.82) 64.29 bc (±7.82) 50.00 a (±7.82) 64.29 c (±7.82)
MGT 1 h 5.37 a (±0.01) 5.34 a (±0.02) 5.31 a (±0.14) 5.50 a (±0.25) 5.51 ab (±0.21)
2 h 5.27 b (±0.05) 5.44 ac (±0.06) 5.37 a (±0.10) 5.69 b (±0.10) 5.61 a (±0.12)
3 h 5.67 c (±0.06) 5.41 ac (±0.10) 5.53 b (±0.15) 5.72 b (±0.15) 5.34 b (±0.12)
4 h 5.48 d (±0.02) 5.65 b (±0.04) 5.55 b (±0.06) 5.61 ab (±0.12) 5.52 ab (±0.23)
5 h 5.50 e (±0.00) 5.50 c (±0.20) 5.60 b (±0.01) 5.50 a (±0.00) 5.54 a (±0.08)
GIX 1 h 101.50 ab (±11.50) 80.50 a (±11.50) 95.00 ac (±33.96) 71.50 a (±0.55) 124.50 a (±16.98)
2 h 119.00 b (±23.00) 98.00 b (±15.34) 112.50 a (±7.12) 99.00 b (±4.38) 78.00 bc (±6.57)
3 h 57.00 c (±23.00) 66.50 c (±3.83) 101.00 ac (±12.05) 91.00 bc (±27.39) 81.00 bd (±18.62)
4 h 84.50 a (±23.55) 75.50 ac (±2.74) 70.50 b (±8.22) 78.00 ac (±6.57) 71.00 b (±1.10)
5 h 84.00 a (±0.00) 71.50 ac (±1.64) 88.50 c (±11.50) 73.50 a (±11.50) 92.00 cd (±15.34)
VIX 1 h 490.00 a (±60.14) 326.63 a (±28.50) 607.45 a (±339.48) 241.73 ad (±85.74) 1027.96 a (±329.30)
2 h 926.73 b (±416.05) 593.67 b (±120.95) 845.41 b (±39.68) 897.14 b (±367.98) 494.69 b (±66.17)
3 h 243.67 a (±223.11) 252.24 a (±91.88) 805.10 ab (±60.36) 711.63 bc (±437.06) 418.88 b (±196.62)
4 h 474.59 a (±374.35) 305.71 a (±75.56) 422.45 a (±135.48) 556.73 c (±15.20) 243.67 c (±44.26)
5 h 346.94 a (±76.01) 279.08 a (±85.06) 440.00 a (±110.89) 232.96 d (±115.02) 494.59 b (±132.24)

Values are averages of six replicates. Values in parenthesis represent ± standard deviations of means. Same and different superscripts on same column for a particular factor connote no significant difference and significant difference, respectively. K, L, M, N, and O represent Serratia liquefaciens, (OP830504), S. liquefaciens (OP830503), Providencia rettgeri (OP830491), P. rettgeri (OP830498), and Bacillus cereus (OP830501). FPG = final percent germination, MGT = mean germination time, GIX = germination index, and VIX = vigor index.

For the sesame seeds, remarkably high final germination values (> 78%) were observed in the respective treatments, regardless of the priming duration. However, a significantly lower mean germination time was observed for seeds treated for 1 h (metabolite from Isolate O), 2 h (metabolites from Isolates L and M) and 1, 2, 3, and 5 h (metabolite from Isolate K). Also, significantly higher germination index was observed for seeds treated for 2 and 4 h (metabolite from Isolate K), 2 h (metabolites from Isolates L and M), and 1 h (metabolites from Isolates N and O). In the case of the seedling vigor index, seeds treated for 2 and 3 h (metabolites from Isolates K and O), 1 h (metabolites from Isolates L and M), and 3 h (metabolite from Isolate N) showed significantly higher values ( Table 3). Probability values are shown in supplementary file 3.

Table 3. Germinability of the sesame seeds at the different priming durations in the respective metabolites.

Parameter Time Isolate K Isolate L Isolate M Isolate N Isolate O
FPG 1 h 92.86 a (±7.82) 100.00 a (±0.00) 100.00 a (±0.00) 92.86 a (±7.82) 100.00 a (±0.00)
2 h 100.00 a (±0.00) 100.00 a (±0.00) 100.00 a (±0.00) 100.00 b (±0.00) 100.00 a (±0.00)
3 h 92.86 a (±7.82) 85.71 b (±0.00) 92.86 b (±7.82) 100.00 b (±0.00) 92.86 b (±7.82)
4 h 100.00 a (±0.00) 78.57 c (±7.82) 100.00 a (±0.00) 100.00 b (±0.00) 92.86 b (±7.82)
5 h 92.86 a (±7.82) 100.00 a (±0.00) 92.86 b (±7.82) 100.00 b (±0.00) 100.00 a (±0.00)
MGT 1 h 5.33 ab (±0.14) 5.42 a (±0.00) 5.30 a (±0.04) 5.00 a (±0.00) 5.16 a (±0.04)
2 h 5.27 ab (±0.08) 5.20 b (±0.00) 5.13 b (±0.15) 5.42 a (±0.00) 5.38 b (±0.04)
3 h 5.25 a (±0.02) 5.27 c (±0.05) 5.37 a (±0.06) 5.34 a (±0.00) 5.37 b (±0.04)
4 h 5.34 b (±0.00) 5.35 d (±0.04) 5.34 a (±0.08) 5.34 a (±0.00) 5.53 c (±0.03)
5 h 5.33 ab (±0.01) 5.34 d (±0.08) 5.50 c (±0.00) 5.42 a (±0.00) 5.38 b (±0.04)
GIX 1 h 148.50 a (±0.55) 154.00 a (±0.00) 164.50 a (±3.83) 182.00 a (±15.34) 178.50 a (±3.83)
2 h 168.00 b (±7.67) 175.00 b (±0.00) 182.00 b (±15.34) 154.00 b (±0.00) 157.50 b (±3.83)
3 h 157.50 a (±11.50) 143.50 c (±3.83) 147.00 c (±7.67) 161.00 b (±0.00) 147.00 c (±15.34)
4 h 161.00 b (±0.00) 126.00 d (±15.34) 161.00 a (±7.67) 161.00 b (±0.00) 133.50 d (±8.22)
5 h 150.50 a (±11.50) 161.00 a (±7.67) 136.50 c (±11.50) 154.00 b (±0.00) 157.50 b (±3.83)
VIX 1 h 528.67 a (±111.00) 800.00 a (±178.40) 952.86 a (±7.82) 666.53 a (±93.00) 756.43 a (±71.20)
2 h 711.43 b (±12.52) 660.00 b (±115.80) 887.86 a (±2.35) 506.43 bd (±44.60) 877.86 b (±28.95)
3 h 678.16 b (±33.31) 615.31 b (±2.01) 721.63 b (±42.48) 829.29 c (±97.81) 791.43 ab (±78.25)
4 h 592.86 a (±31.30) 339.18 c (±22.80) 582.86 c (±50.08) 553.57 b (±44.60) 447.55 c (±138.83)
5 h 511.73 a (±95.12) 455.71 d (±0.00) 461.73 d (±106.08) 450.71 d (±22.69) 496.43 c (±44.60)

Values are averages of six replicates. Values in parenthesis represent ± standard deviations of means. Same and different superscripts on same column for a particular factor connote no significant difference and significant difference, respectively. K, L, M, N, and O represent Serratia liquefaciens, (OP830504), S. liquefaciens (OP830503), Providencia rettgeri (OP830491), P. rettgeri (OP830498), and Bacillus cereus (OP830501). FPG = final percent germination, MGT = mean germination time, GIX = germination index, and VIX = vigor index.

When the okra seeds were treated in the different metabolites for varying durations, the final germination percentage of the okra seeds showed significantly higher values in seeds treated for 3 h (Metabolite K), 4 h (Metabolite L), and 1 and 5 h (Metabolite N). There was no significant difference in final germination percentage between seeds treated with the metabolite from Isolate M at the different priming durations. Also, mean germination time showed no significant difference at the different priming durations for seeds treated with the metabolites from Isolates K, M, and O. However, significantly lower mean germination times were observed for seeds treated for 2 and 5 h and 3-5 h with the metabolites from Isolates L and N, respectively. Furthermore, seeds primed for 3 h showed significantly higher germination and vigor index values when treated with the metabolites from Isolates K, respectively. Significantly higher germination index values were observed for seeds treated for 3 h (Metabolite K), 2-4 h (Metabolite L), 1, 3, and 4 h (Metabolite M), 1, 3, 4, and 5 h (Isolate N), and 1-4 h (Isolate O). Finally, for seedling vigor index, significantly higher values were observed at 3 h (Metabolite K), 3 and 4 h (Metabolite L), 3 and 4 h (Metabolite M), 1, 4, and 5 (Metabolite N), and 3 and 4 h (Metabolite O) ( Table 4). Probability values are shown in supplementary file 4.

Table 4. Germinability of the okra seeds at the different priming durations in the respective metabolites.

Parameter Time Isolate K Isolate L Isolate M Isolate N Isolate O
FPG 1 h 28.57 a (±15.65) 57.14 ad (±15.65) 85.71 a (±0.00) 85.71 a (±0.00) 71.43 ab (±15.65)
2 h 71.43 b (±0.00) 71.43 ab (±0.00) 78.57 a (±7.82) 64.29 b (±7.82) 71.43 ab (±15.65)
3 h 85.71 c (±0.00) 85.71 bc (±0.00) 78.57 a (±7.82) 71.43 bc (±0.00) 85.71 a (±15.65)
4 h 64.29 b (±7.82) 92.86 c (±7.82) 78.57 a (±7.82) 64.29 b (±23.47) 78.57 ab (±7.82)
5 h 71.43 b (±15.65) 50.00 d (±23.47) 78.57 a (±23.47) 78.57 ac (±7.82) 64.29 b (±7.82)
MGT 1 h 5.41 a (±0.10) 5.28 ac (±0.01) 5.30 a (±0.08) 5.47 a (±0.20) 5.22 a (±0.24)
2 h 5.33 a (±0.16) 5.14 bd (±0.05) 5.39 a (±0.33) 5.91 b (±0.06) 5.29 a (±0.23)
3 h 5.29 a (±0.07) 5.36 a (±0.02) 5.30 a (±0.13) 5.35 c (±0.04) 5.28 a (±0.30)
4 h 5.33 a (±0.11) 5.39 a (±0.06) 5.19 a (±0.01) 5.27 c (±0.05) 5.20 a (±0.05)
5 h 5.28 a (±0.31) 5.19 cd (±0.21) 5.38 a (±0.17) 5.34 c (±0.02) 5.35 a (±0.26)
GIX 1 h 45.50 a (±26.84) 93.00 a (±24.10) 140.50 a (±7.12) 124.00 a (±18.62) 120.00 ab (±8.76)
2 h 114.00 b (±13.15) 129.50 b (±3.83) 121.00 bc (±13.15) 71.00 b (±5.48) 122.50 ab (±42.17)
3 h 141.00 c (±6.57) 133.00 b (±1.10) 127.50 abd (±1.64) 113.00 a (±1.10) 139.00 ab (±1.10)
4 h 102.50 b (±4.93) 144.50 b (±18.07) 137.00 ab (±12.05) 108.50 a (±42.17) 137.00 a (±18.62)
5 h 114.50 b (±2.74) 84.00 a (±30.67) 120.00 cd (±24.10) 126.50 a (±14.79) 102.00 b (±3.29)
VIX 1 h 108.27 a (±92.67) 335.31 a (±154.70) 580.41 ac (±45.61) 743.27 a (±73.77) 488.98 ac (±140.40)
2 h 495.92 bd (±36.89) 557.65 b (±73.22) 539.29 ad (±126.87) 303.88 b (±9.17) 522.65 ac (±230.94)
3 h 869.39 c (±8.05) 836.33 c (±12.07) 643.88 ab (±133.02) 511.22 c (±4.47) 818.88 b (±292.31)
4 h 537.45 b (±112.12) 754.08 c (±109.77) 713.67 b (±61.93) 553.47 ac (±336.68) 710.20 ab (±140.84)
5 h 410.82 d (±171.02) 250.41 a (±222.00) 488.47 cd (±104.96) 559.90 ac (±100.27) 392.55 c (±100.94)

Values are averages of six replicates. Values in parenthesis represent ± standard deviations of means. Same and different superscripts on same column for a particular factor connote no significant difference and significant difference, respectively. K, L, M, N, and O represent Serratia liquefaciens, (OP830504), S. liquefaciens (OP830503), Providencia rettgeri (OP830491), P. rettgeri (OP830498), and Bacillus cereus (OP830501). FPG = final percent germination, MGT = mean germination time, GIX = germination index, and VIX = vigor index.

Effect of metabolite concentration

At the respective concentrations of the different metabolites, significantly lower final germination percentages were observed in the cowpea seeds treated with 800 mg/L of the metabolites from Isolates K, L, and N. The final germination percentage of the cowpea seeds treated with metabolites from isolates M and O did not differ significantly at the respective concentrations. Also, significantly lower mean germination times were observed for seeds treated with metabolite concentrations of 200, 600, and 800 mg/L (metabolite from Isolate K), 400 and 800 mg/L (metabolite from Isolate L), and 400 mg/L (metabolite from Isolate M), 200 – 800 mg/L (Metabolite N), and 200-600 mg/L (Metabolite O). Significantly higher germination index values were observed in the seeds treated with metabolite concentrations of 200 and 600 mg/L (Metabolite K), 600 mg/L (Metabolite L), 200, 400, 600, and 1000 mg/L (Metabolite N), and 200, 600, and 800 mg/L (Metabolite O) ( Table 5). For seedling vigor index, significantly higher values were observed at concentrations of 600 mg/L (Metabolite K), 200, 600, and 1000 mg/L (Metabolite L), 600 and 1000 mg/L (Metabolite M), 400, 600, and 1000 mg/L (Metabolite N), and 200-600 mg/L (Metabolite O) ( Table 5). Probability values are shown in supplementary file 5.

Table 5. Germinability of the cowpea seeds at the different concentrations of the respective metabolites.

Parameter Concentration Isolate K Isolate L Isolate M Isolate N Isolate O
FPG 200 mg/L 71.43 ab (±0.00) 64.29 a (±23.47) 50.00 a (±7.82) 64.29 a (±23.47) 64.29 a (±7.82)
400 mg/L 57.14 ac (±31.30) 42.86 b (±0.00) 42.86 a (±0.00) 85.71 b (±0.00) 57.14 a (±46.95)
600 mg/L 85.71 b (±0.00) 85.71 c (±0.00) 57.14 a (±31.30) 85.71 b (±15.65) 78.57 a (±7.82)
800 mg/L 50.00 c (±7.82) 14.29 d (±0.00) 50.00 a (±7.82) 42.86 a (±0.00) 64.29 a (±7.82)
1000 mg/L 71.43 abc (±15.65) 64.29 a (±23.47) 57.14 a (±0.00) 78.57 ab (±23.47) 71.43 a (±15.65)
MGT 200 mg/L 5.32 a (±0.25) 5.67 a (±0.09) 5.61 a (±0.12) 5.45 a (±0.05) 5.37 ab (±0.01)
400 mg/L 5.62 b (±0.12) 5.38 bc (±0.07) 5.25 b (±0.27) 5.47 ab (±0.11) 5.28 a (±0.31)
600 mg/L 5.39 ab (±0.09) 5.47 b (±0.08) 5.54 a (±0.04) 5.47 ab (±0.05) 5.40 ac (±0.24)
800 mg/L 5.52 ab (±0.23) 5.25 c (±0.27) 5.69 a (±0.04) 5.41 a (±0.10) 5.52 bc (±0.07)
1000 mg/L 5.64 b (±0.35) 5.51 ab (±0.01) 5.55 a (±0.06) 5.56 b (±0.07) 5.75 d (±0.16)
GIX 200 mg/L 116.50 a (±18.07) 84.00 a (±35.05) 67.50 a (±4.93) 98.00 a (±38.34) 101.50 ab (±11.50)
400 mg/L 79.00 b (±47.10) 67.00 a (±3.29) 73.50 a (±11.50) 127.00 a (±7.67) 84.50 a (±61.89)
600 mg/L 133.50 a (±7.12) 127.00 b (±6.57) 81.00 a (±42.72) 125.50 a (±26.84) 120.50 b (±6.02)
800 mg/L 71.00 b (±1.10) 24.50 c (±3.83) 64.50 a (±8.22) 66.50 b (±3.83) 92.00 ab (±7.67)
1000 mg/L 88.50 b (±3.83) 92.50 a (±32.32) 81.00 a (±3.29) 109.50 a (±27.93) 85.50 a (±8.22)
VIX 200 mg/L 675.00 a (±123.52) 584.69 ab (±234.07) 318.98 a (±122.73) 741.12 a (±481.21) 765.92 a (±137.94)
400 mg/L 588.98 ac (±540.57) 308.57 ac (±42.92) 331.53 a (±147.89) 1279.59 b (±34.88) 1042.55 a (±1097.35)
600 mg/L 1100.20 b (±10.06) 918.37 b (±490.94) 719.18 b (±627.31) 1406.33 b (±612.78) 1065.82 a (±254.30)
800 mg/L 320.92 c (±27.61) 16.94 c (±0.22) 330.41 a (±73.55) 302.76 a (±66.73) 796.73 b (±137.71)
1000 mg/L 525.31 ac (±178.40) 744.49 ab (±618.37) 411.84 ab (±97.03) 1240.41 b (±443.99) 863.06 b (±236.30)

Values are averages of six replicates. Values in parenthesis represent ± standard deviations of means. Same and different superscripts on same column for a particular factor connote no significant difference and significant difference, respectively. K, L, M, N, and O represent Serratia liquefaciens, (OP830504), S. liquefaciens (OP830503), Providencia rettgeri (OP830491), P. rettgeri (OP830498), and Bacillus cereus (OP830501). FPG = final percent germination, MGT = mean germination time, GIX = germination index, and VIX = vigor index.

For the soybean seeds, significantly lower final germination percentages were observed in treatment with metabolite concentrations of 200, 600, 800, and 1000 mg/L (metabolite from Isolate K), 800 mg/L (metabolite from Isolate M), and 600 mg/L (metabolite from Isolate N), and 1000 mg/L (metabolite from Isolate O). In the case of mean germination time, significantly lower values were recorded in the seeds that were treated with 200, 400, and 800 mg/L (metabolite from Isolate K), 200, 400, 600, and 1000 mg/L (metabolite from Isolate L), 200, 600, and 1000 mg/L (metabolite from Isolate M), 200, 400, and 800 mg/L (metabolite from Isolate N), 200, 400, and 600 mg/L (metabolite from Isolate M). Generally, higher germination index values were observed in the seeds that were treated with 400 mg/L, 600 and 1000 mg/L, 400 and 800 mg/L, and 400 and 800 mg/L of metabolites from Isolates K, M, N, and O, respectively.

For the seeds treated with metabolites from Isolates K, M, N, and O, significantly higher seedling vigor index values were observed in the seeds treated with 400 mg/L, 600 mg/L, 400 mg/L, and 600 mg/L, respectively ( Table 6). Probability values are shown in supplementary file 6.

Table 6. Germinability of the soybean seeds at the different concentrations of the respective metabolites.

Parameter Concentration Isolate K Isolate L Isolate M Isolate N Isolate O
FPG 200 mg/L 42.86 ab (±15.65) 42.86 a (±31.30) 71.43 a (±15.65) 50.00 ac (±7.82) 50.00 a (±7.82)
400 mg/L 50.00 a (±7.82) 42.86 a (±31.30) 64.29 a (±7.82) 50.00 ad (±7.82) 57.14 a (±15.65)
600 mg/L 42.86 ab (±0.00) 42.86 a (±15.65) 85.71 b (±0.00) 14.29 b (±0.00) 85.71 b (±0.00)
800 mg/L 35.71 b (±7.82) 35.71 a (±23.47) 42.86 c (±15.65) 57.14 a (±0.00) 71.43 c (±0.00)
1000 mg/L 42.86 ab (±15.65) 42.86 a (±15.65) 85.71 d (±0.00) 42.86 cd (±15.65) 35.71 d (±7.82)
MGT 200 mg/L 5.43 a (±0.08) 5.50 a (±0.00) 5.52 ab (±0.00) 5.59 ab (±0.10) 5.39 a (±0.08)
400 mg/L 5.41 a (±0.10) 5.59 ab (±0.10) 5.55 a (±0.10) 5.55 a (±0.06) 5.35 a (±0.04)
600 mg/L 5.66 bc (±0.17) 5.59 ab (±0.10) 5.47 b (±0.00) 5.75 bcd (±0.27) 5.36 a (±0.05)
800 mg/L 5.52 ab (±0.31) 5.93 b (±0.62) 5.55 a (±0.06) 5.61 ad (±0.00) 5.54 b (±0.05)
1000 mg/L 5.73 c (±0.00) 5.68 ab (±0.24) 5.51 ab (±0.01) 5.81 c (±0.09) 5.59 b (±0.15)
GIX 200 mg/L 66.50 ab (±26.84) 63.00 a (±46.01) 101.00 a (±23.00) 68.00 a (±5.48) 77.50 a (±8.22)
400 mg/L 77.00 b (±7.67) 57.00 a (±39.44) 89.50 a (±4.93) 70.50 ac (±8.22) 91.00 ac (±23.00)
600 mg/L 57.00 a (±6.57) 57.50 a (±16.98) 127.00 b (±0.00) 18.00 b (±3.29) 136.50 b (±3.83)
800 mg/L 48.50 a (±0.55) 50.50 a (±44.37) 60.00 c (±19.72) 78.00 c (±0.00) 102.00 c (±3.29)
1000 mg/L 54.00 a (±19.72) 58.00 a (±29.58) 124.00 b (±2.19) 49.00 d (±14.24) 50.00 d (±15.34)
VIX 200 mg/L 237.35 a (±216.63) 153.98 a (±133.13) 847.55 ac (±398.16) 305.10 a (±53.88) 439.29 a (±98.25)
400 mg/L 390.10 b (±115.47) 355.31 a (±351.88) 581.94 ad (±139.39) 183.27 b (±62.15) 450.61 a (±234.07)
600 mg/L 146.94 a (±12.74) 238.17 a (±160.29) 2450.20 b (±1569.39) 25.31 c (±17.44) 1251.43 b (±29.51)
800 mg/L 154.29 a (±32.19) 304.90 a (±317.90) 266.12 a (±202.99) 319.59 a (±68.41) 703.57 c (±124.63)
1000 mg/L 149.18 a (±68.19) 280.82 a (±229.82) 1249.59 cd (±98.59) 62.45 c (±11.18) 180.82 d (±50.08)

Values are averages of six replicates. Values in parenthesis represent ± standard deviations of means. Same and different superscripts on same column for a particular factor connote no significant difference and significant difference, respectively. K, L, M, N, and O represent Serratia liquefaciens, (OP830504), S. liquefaciens (OP830503), Providencia rettgeri (OP830491), P. rettgeri (OP830498), and Bacillus cereus (OP830501). FPG = final percent germination, MGT = mean germination time, GIX = germination index, and VIX = vigor index.

In the case of the sesame seeds, remarkably high final germination (> 90%) was observed at all priming duration for all priming durations. Significantly lower mean germination time was recorded for seeds treated with 600 mg/L (metabolites from isolates K and L), 1000 mg/L (metabolites from isolates M and O), and 200, 400, and 600 mg/L (metabolite from isolate N). Generally, significantly higher germination index was observed in seeds treated with 600 mg/L of the metabolite from isolate K, 600 mg/L, 800 mg/L, and 1000 mg/L of the metabolite from isolate L, 1000 mg/L of the metabolite from isolate M, 200-600 mg/L of the metabolite from isolate N, and 1000 mg/L of the metabolite from isolate O. For seedling vigor index, significantly higher values were observed at 400 and 600 mg/L for Metabolite K, 600 and 800 mg/L for Metabolite L, 200 and 1000 mg/L for Metabolite M, 200 mg/L for Metabolite N, and 1000 mg/L for Metabolite O ( Table 7). Probability values are shown in supplementary file 7.

Table 7. Germinability of the sesame seeds at the different concentrations of the respective metabolites.

Parameter Concentration Isolate K Isolate L Isolate M Isolate N Isolate O
FPG 200 mg/L 96.43 ab (±3.91) 85.71 a (±0.00) 100.00 a (±0.00) 100.00 a (±0.00) 92.86 a (±7.82)
400 mg/L 100.00 a (±0.00) 85.71 a (±0.00) 100.00 a (±0.00) 100.00 a (±0.00) 92.86 a (±7.82)
600 mg/L 100.00 a (±0.00) 92.86 b (±7.82) 92.86 b (±7.82) 100.00 a (±0.00) 92.86 a (±7.82)
800 mg/L 92.86 b (±7.82) 100.00 c (±0.00) 92.86 b (±7.82) 92.86 b (±7.82) 92.86 a (±7.82)
1000 mg/L 92.86 b (±7.82) 100.00 c (±0.00) 100.00 a (±0.00) 100.00 a (±0.00) 100.00 a (±0.00)
MGT 200 mg/L 5.20 a (±0.00) 5.32 a (±0.13) 5.30 a (±0.04) 5.23 ac (±0.04) 5.21 ab (±0.02)
400 mg/L 5.20 a (±0.08) 5.18 b (±0.03) 5.38 b (±0.04) 5.22 a (±0.05) 5.17 a (±0.11)
600 mg/L 5.06 b (±0.07) 5.03 c (±0.03) 5.33 ab (±0.01) 5.22 a (±0.05) 5.21 ab (±0.06)
800 mg/L 5.14 c (±0.01) 5.21 b (±0.09) 5.37 b (±0.06) 5.32 b (±0.10) 5.25 b (±0.02)
1000 mg/L 5.17 ac (±0.03) 5.13 b (±0.00) 5.16 c (±0.04) 5.30 bc (±0.04) 5.13 c (±0.00)
GIX 200 mg/L 168.25 a (±7.39) 138.00 a (±10.95) 164.50 a (±3.83) 171.50 a (±3.83) 161.00 a (±15.34)
400 mg/L 175.00 a (±7.67) 151.00 b (±3.29) 157.50 a (±3.83) 172.00 a (±4.38) 164.50 a (±3.83)
600 mg/L 189.00 b (±7.67) 178.50 c (±11.50) 150.50 b (±11.50) 172.00 a (±4.38) 161.00 a (±7.67)
800 mg/L 168.00 a (±15.34) 172.50 c (±10.41) 147.00 b (±7.67) 150.50 b (±3.83) 157.50 a (±11.50)
1000 mg/L 164.50 a (±11.50) 182.00 c (±0.00) 178.50 d (±3.83) 164.50 c (±3.83) 182.00 b (±0.00)
VIX 200 mg/L 470.20 a (±54.55) 377.14 a (±59.02) 542.86 ad (±10.95) 529.29 a (±10.17) 437.96 a (±39.79)
400 mg/L 603.57 b (±151.01) 380.20 a (±3.35) 458.57 bc (±104.85) 478.57 b (±28.17) 433.16 a (±37.22)
600 mg/L 682.14 b (±66.51) 491.63 bc (±137.49) 450.82 c (±53.88) 445.71 b (±20.34) 455.51 a (±45.61)
800 mg/L 470.00 a (±17.21) 409.29 ab (±44.60) 407.96 c (±25.71) 457.45 b (±35.66) 432.76 a (±22.02)
1000 mg/L 437.86 a (±85.29) 567.86 c (±88.42) 525.00 d (±30.52) 450.71 b (±69.64) 524.29 b (±0.00)

Values are averages of six replicates. Values in parenthesis represent ± standard deviations of means. Same and different superscripts on same column for a particular factor connote no significant difference and significant difference, respectively. K, L, M, N, and O represent Serratia liquefaciens, (OP830504), S. liquefaciens (OP830503), Providencia rettgeri (OP830491), P. rettgeri (OP830498), and Bacillus cereus (OP830501). FPG = final percent germination, MGT = mean germination time, GIX = germination index, and VIX = vigor index.

Furthermore, the final germination percentage of the okra seeds showed significantly lower values in setups that were treated with 800 mg/L of metabolites from Isolates K and N, 200, 800, and 1000 mg/L of metabolite from Isolate L, 800 and 1000 mg/L of metabolite from Isolate M, and 200 mg/L of metabolite from Isolate O. In the case of mean germination time, seeds treated with the metabolites from Isolates M and N showed no significant difference at the different concentrations. However, treatment in 800 mg/L and 200, 400, and 1000 mg/L of the metabolites from Isolates K and O showed significantly higher values, respectively. Concerning germination index, significantly higher values were recorded in the seeds treated with 400, 600, and 1000 mg/L (metabolite from Isolate K), 600 mg/L (metabolite from Isolate L), 200-800 mg/L (metabolite from Isolate M), and 800 and 1000 mg/L (metabolites from Isolates N and O). For vigor index, the seeds treated in the metabolites at 400, 600, and 1000 mg/L (Metabolite K), 600 mg/L (Metabolite L), 200-600 mg/L (metabolites M and N), and 800-1000 mg/L (Metabolite K) ( Table 8). Probability values are shown in supplementary file 8.

Table 8. Germinability of the okra seeds at the different concentrations of the respective metabolites.

Parameter Concentration Isolate K Isolate L Isolate M Isolate N Isolate O
FPG 200 mg/L 28.57 a (±0.00) 28.57 a (±0.00) 42.86 a (±31.30) 42.86 a (±15.65) 28.57 a (±0.00)
400 mg/L 42.86 b (±15.65) 50.00 b (±7.82) 42.86 a (±0.00) 42.86 a (±15.65) 42.86 b (±0.00)
600 mg/L 42.86 b (±15.65) 64.29 c (±7.82) 42.86 a (±15.65) 28.57 b (±0.00) 35.71 c (±7.82)
800 mg/L 7.14 c (±7.82) 28.57 a (±0.00) 28.57 ab (±0.00) 7.14 c (±7.82) 64.29 d (±7.82)
1000 mg/L 50.00 b (±7.82) 35.71 a (±7.82) 14.29 b (±0.00) 64.29 d (±7.82) 71.43 e (±0.00)
MGT 200 mg/L 5.37 a (±0.15) 5.37 a (±0.15) 5.44 a (±0.06) 5.26 a (±0.17) 5.50 a (±0.00)
400 mg/L 5.37 a (±0.15) 5.43 ab (±0.08) 5.41 a (±0.10) 5.67 a (±0.06) 5.50 a (±0.00)
600 mg/L 5.23 a (±0.00) 5.54 b (±0.05) 5.50 a (±0.00) 5.86 a (±0.15) 5.41 b (±0.10)
800 mg/L 5.75 b (±3.01) 5.37 a (±0.15) 5.50 a (±0.00) 5.75a (±3.01) 5.32 c (±0.04)
1000 mg/L 5.27 a (±0.05) 5.44 ab (±0.23) 5.50 a (±0.00) 5.50 a (±0.00) 5.47 ab (±0.09)
GIX 200 mg/L 45.50 a (±3.83) 45.50 a (±3.83) 66.50 a (±49.84) 74.00 a (±33.96) 42.00 a (±0.00)
400 mg/L 66.50 b (±19.17) 77.00 b (±15.34) 66.50 a (±3.83) 57.00 a (±23.00) 63.00 b (±0.00)
600 mg/L 73.50 b (±26.84) 91.50 c (±8.22) 63.00 a (±23.00) 33.00 b (±3.29) 56.00 b (±15.34)
800 mg/L 10.50 c (±11.50) 45.50 a (±3.83) 42.00 ab (±0.00) 10.50 bc (±11.50) 105.00 c (±15.34)
1000 mg/L 84.00 b (±15.34) 53.00 a (±4.38) 21.00 b (±0.00) 94.50 c (±11.50) 106.00 c (±6.57)
VIX 200 mg/L 83.06 a (±9.61) 106.94 a (±20.12) 285.10 a (±275.65) 217.96 a (±124.30) 84.08 a (±16.54)
400 mg/L 181.02 b (±105.74) 201.94 b (±2.12) 253.16 ab (±34.54) 174.08 ab (±76.68) 196.53 a (±55.00)
600 mg/L 212.24 b (±126.09) 410.41 c (±160.74) 205.51 ab (±109.32) 93.06 ab (±15.20) 205.71 a (±81.82)
800 mg/L 10.82 a (±11.85) 66.73 a (±14.53) 99.18 bc (±21.01) 15.20 b (±16.66) 479.39 b (±223.78)
1000 mg/L 232.04 b (±70.42) 126.43 ab (±45.94) 29.69 c (±7.49) 621.53 c (±274.87) 589.80 b (±40.24)

Values are averages of six replicates. Values in parenthesis represent ± standard deviations of means. Same and different superscripts on same column for a particular factor connote no significant difference and significant difference, respectively. K, L, M, N, and O represent Serratia liquefaciens, (OP830504), S. liquefaciens (OP830503), Providencia rettgeri (OP830491), P. rettgeri (OP830498), and Bacillus cereus (OP830501). FPG = final percent germination, MGT = mean germination time, GIX = germination index, and VIX = vigor index.

Detected compounds in the metabolites

In the metabolite from S. liquefaciens AYO-O, the major compounds detected were methyl lactate (10.40%), 9,12-octadecadienoic acid (Z,Z)- (17.50%), n-hexadecanoic acid (13.38%), phytol (5.96%), oleic acid (11.48%) and 9,12-octadecadienoic acid (Z,Z)- (17.01%). Also, for the metabolite from P. rettgeri (OP830491), n-hexadecanoic acid (14.13%), octadecane (7.90%), phytol (9.31%), 11,14,17-eicosatrienoic acid, methyl ester (5.96%), lupeol (7.74%), stigmasterol (15.00%) and β-sitosterol (12.19%) were the most dominant compounds ( Table 9).

Table 9. Detected compounds in the metabolites.

Peak # RT Compound detected Comp. wt% RT Compound detected Comp. wt%
Metabolite from S. liquefaciens (OP830504) Metabolite from P. rettgeri (OP830491)
1 2.50 Methyl lactate 10.40 2.54 Methyl lactate 2.28
2 2.99 Cyclohexanol, 5-methyl-2-(1-methylethyl)- 3.93 8.00 Cyclohexanol, 5-methyl-2-(1-methylethyl)- 5.00
3 4.46 Pentanoic acid, 2-methylbutyl ester 1.38 12.48 Pentanoic acid, 2-methylbutyl ester 2.51
4 8.50 9,12-Octadecadienoic acid (Z,Z)- 17.50 14.23 9,12-Octadecadienoic acid (Z,Z)- 2.07
5 9.52 Tetradecanoic acid 1.57 16.60 Tetradecanoic acid 2.55
6 15.15 Dibutyl phthalate 1.39 17.58 Dibutyl phthalate 1.97
7 16.00 9-Octadecenoic acid (Z)-, methyl ester 3.97 25.00 n-Hexadecanoic acid 14.13
8 21.00 3,7,11,15-tetramethyl-2-hexadecen-1-ol 1.29 30.00 3,7,11,15-tetramethyl-2-hexadecen-1-ol 1.52
9 25.00 Octadecane 2.03 31.97 Octadecane 7.90
10 32.00 n-Hexadecanoic acid 13.38 35.51 9-Octadecenoic acid (Z)-, methyl ester 1.69
11 34.50 Phytol 5.96 36.25 Phytol 9.31
12 35.81 Oleic acid 11.48 37.62 Oleic acid 2.98
13 37.52 9,12-Octadecadienoic acid (Z,Z)- 17.01 39.94 9,12-Octadecadienoic acid (Z,Z)- 1.25
14 39.00 11,14,17-Eicosatrienoic acid, methyl ester 3.89 41.00 11,14,17-Eicosatrienoic acid, methyl ester 5.96
15 41.98 Squalene 2.51 41.50 Lupeol 7.74
16 44.50 Stigmasterol 1.83 43.50 Stigmasterol 15.00
17 44.23 β-Sitosterol 12.19
18 44.99 Squalene 2.78
Metabolite from S. liquefaciens (OP830503) Metabolite from P. rettgeri (OP830498)
1 7.00 Methyl lactate 1.90 8.02 Methyl lactate 1.20
2 14.23 Cyclohexanol, 5-methyl-2-(1-methylethyl)- 1.86 10.50 Cyclohexanol, 5-methyl-2-(1-methylethyl)- 5.73
3 15.98 Pentanoic acid, 2-methylbutyl ester 1.94 11.43 Pentanoic acid, 2-methylbutyl ester 2.31
4 18.80 9,12-Octadecadienoic acid (Z,Z)- 4.90 13.25 9,12-Octadecadienoic acid (Z,Z)- 6.05
5 20.50 Tetradecanoic acid 8.85 16.50 Tetradecanoic acid 6.26
6 23.11 n-Hexadecanoic acid 2.92 20.81 Dibutyl phthalate 3.61
7 24.06 Dibutyl phthalate 1.55 23.03 9-Octadecenoic acid (Z)-, methyl ester 2.93
8 26.98 3,7,11,15-tetramethyl-2-hexadecen-1-ol 3.83 26.02 3,7,11,15-tetramethyl-2-hexadecen-1-ol 17.54
9 28.15 Octadecane 3.14 28.50 Octadecane 3.99
10 31.50 9-Octadecenoic acid (Z)-, methyl ester 1.90 32.50 n-Hexadecanoic acid 21.96
11 33.98 Phytol 1.96 35.71 Phytol 3.88
12 35.50 Oleic acid 29.23 37.20 Oleic acid 1.63
13 37.00 9,12-Octadecadienoic acid (Z,Z)- 2.62 37.80 9,12-Octadecadienoic acid (Z,Z)- 12.45
14 39.00 11,14,17-Eicosatrienoic acid, methyl ester 25.17 39.75 11,14,17-Eicosatrienoic acid, methyl ester 2.56
15 40.00 Squalene 4.37 40.75 Squalene 3.04
16 48.49 Stigmasterol 1.94 43.52 Stigmasterol 3.27
17 54.00 Lupeol 1.66 48.21 Stearyltrimethylammonium chloride 1.18
Metabolite from Bacillus cereus (OP830501)
1 7.61 Methyl lactate 4.06 2.03
2 14.13 Cyclohexanol, 5-methyl-2-(1-methylethyl)- 2.13 1.73
3 15.98 Pentanoic acid, 2-methylbutyl ester 2.67 1.87
4 18.80 9,12-Octadecadienoic acid (Z,Z)- 4.27 5.83
5 20.50 Tetradecanoic acid 15.00 16.24
6 23.11 n-Hexadecanoic acid 3.20 2.51
7 24.00 Dibutyl phthalate 4.03 2.55
8 26.98 3,7,11,15-tetramethyl-2-hexadecen-1-ol 4.04 3.29
9 28.15 Octadecane 2.16 1.82
10 31.50 9-Octadecenoic acid (Z)-, methyl ester 1.07 1.80
11 33.98 Phytol 1.25 1.52
12 35.50 Oleic acid 26.69 27.33
13 37.00 9,12-Octadecadienoic acid (Z,Z)- 5.03 4.10
14 39.00 11,14,17-Eicosatrienoic acid, methyl ester 19.22 20.63
15 40.00 Squalene 3.19 3.00
16 48.49 Stigmasterol 1.06 1.81
17 54.00 Lupeol 0.92 1.60

In addition, the metabolites from S. liquefaciens AYO-N revealed the presence of tetradecanoic acid (8.85%), phytol (29.23%), and 11,14,17-eicosatrienoic acid, methyl ester (25.17%) as the most dominant species. In the case of the metabolite from P. rettgeri AYO-I, cyclohexanol, 5-methyl-2-(1-methylethyl)- (5.73%), 9,12-octadecadienoic acid (Z,Z)- (6.05%), tetradecanoic acid (6.26%), 3,7,11,15-tetramethyl-2-hexadecen-1-ol (17.54%), n-hexadecanoic acid (21.96%), and 9,12-octadecadienoic acid (Z,Z)- (12.45%) were the most dominant moieties ( Table 9).

Finally, in the metabolite from B. cereus AYO-L, tetradecanoic acid (15.00%), oleic acid (26.69%), and 11,14,17-eicosatrienoic acid, and methyl ester (19.22%) were the most dominant species ( Table 9).

Discussion

Seed germination is fundamental to plant development and affects productivity, 34 , 35 and vigorously germinated seeds produce better yields. 36 Generally, for the cowpea seeds, the final germination percentage reached a significantly higher value at shorter priming durations (1, 2, or 3 h), then decreased afterward. However, for Metabolites N and O, all values were statistically the same or nearly so. With the soybean seeds, the final germination percentage increased with increasing priming duration until 1, 2, or 3 h, then decreasing afterward, even though this decrease was sometimes insignificant. Although microbial metabolites can promote germination, 3739 the result for cowpea and soybean could be ascribed to nutrient and electrolyte leakage at prolonged priming duration. 40 Long priming durations can result in over-imbibition, 41 leading to swollen seeds that may not germinate. Microbial deterioration can occur in large endosperm seeds (soybean and cowpea) when primed for longer durations, especially when the seeds are sown immediately without drying, as in this study. The results of this study show that priming soybean and cowpea seeds for shorter periods is sufficient for maximal germination values. Through the application of the traditional priming technique that involves re-drying the seeds, higher optimal priming durations of 6 (cowpea) and 8 and 18 hours (soybean) were reported. 42 , 43 , 44 In this study, seeds were planted directly without re-drying.

Priming duration did not seem to significantly impact the final germination pattern of the sesame seeds, as high values were distributed without order at the different priming durations, and there was no significant difference between them. The sesame seeds did not become over-bloated as in cowpea and soybean. Sesame seeds are comparatively impervious and have a small endosperm. A high optimal priming duration (12 hours) was recorded by Tizazu et al. 45 using the traditional priming method.

There was also no order to the distribution of FGP values for okra, indicating that the priming duration did not significantly influence germination. This uneven germination pattern could be due to the hard seed coat of okra, 46 which perhaps limited imbibition. This hard seed coat likely resulted in high maximal priming durations of 12 h 47 and 48 h 48 for okra. Insufficient imbibition can lead to germination delay, 49 a situation that could have happened with a hardy seed such as okra in this study since the highest priming duration for this study was 5 hours, and it posted low final germination values.

The effect of priming duration on mean germination time was negligible for all the crops, as there was no pattern in the distribution of values. All the values obtained “congregated’ around five (5) days. Hence, it does not make any agronomic sense to attach much importance to the significant results here. However, other researchers have reported better mean germination times in cucumber, 50 tomato seeds, 51 guava seeds, 52 cowpea seeds. 53

A high germination index shows that germinated seeds appeared faster. In the case of the cowpea seeds, there was a general decrease in values with increasing priming time for all isolates, and this decline was significant for some metabolites used. There was also a general but insignificant decline from lower to higher priming durations with the soybean seeds. However, priming time did not significantly affect the germination index of the sesame and okra seeds. Okra required a 48-hour priming duration for maximal germination index. 48 The highest germination index was observed when soybean seeds were treated for 12 hours in PEG solution. 54 Both studies utilized traditional priming methods that involve seed re-drying.

The vigor index reached its statistical highest at a lower priming duration in all the metabolites in the case of cowpea, then decreased afterward, and this same pattern was also obtained for the soybean and sesame seeds. Seeds can over-imbibe at longer priming durations, impeding germination. This can result in reduced seedling vigor index values since final germination percentage is a computational component of seedling vigor index. Over-imbibition is a potential priming pitfall for seeds with large endosperms, such as cowpea and soybean seeds. Six (6) hours was the best priming duration for biomass production in soybean, 55 and 12 hours for the highest seedling vigor index in soybean seeds by Sadeghi et al. 54

There was generally no observable pattern in FPG for cowpea, soybean, sesame, and okra seeds with concentration. Erratic drops in values were observed for the okra seeds. Okra has an irregular germination pattern. 56 Similarly, germination was concentration-independent in the biopriming of canola seeds with varying concentrations of bacterial cell-free supernatants of Devosia sp. (SL43). 57 While increasing concentration did not impact germination negatively, it is usually not the case with chemical or hormonal priming where the impact of priming on germination and seedling parameters seems to always be concentration-dependent, with drastic effects at higher concentrations. 58 , 59

Metabolite concentration did not produce an effect of considerable agronomic proportion on mean germination time in all the crops, as values clustered around five days. Concerning the germination index, there was no clear pattern for cowpea and, generally, for the soybean and okra seeds. For the metabolites from isolates L, M, and O used in the priming of the sesame seeds, there was a rare increase in GIX with increasing concentration, which was also significant.

For the cowpea seeds, the seedling vigor index gradually peaked at lower concentrations for all isolates, then decreased with increasing concentration, although the decreases were statistically insignificant at times. Similarly, the seedling vigor index peaked at a lower concentration, and then a significant decline was observed for the soybean seeds. Sesame recorded no clear pattern with increasing concentration; however, in the case of Isolate K, it peaked at a lower concentration, then decreased steadily afterward, and for Isolate L, it rose steadily and peaked significantly at the highest concentration. Mostly, there was no directional change in seedling vigor index with metabolite concentration for okra seeds treated in these metabolites. The hard seed coat of okra is responsible for the ambiguous response of okra to priming at different concentrations. The significantly higher values for okra were not limited to lower priming periods, occurring at either 3 or 4 h for virtually all the metabolite treatments. A high priming duration of 48 hours produced the best vigor index in okra. 48 The seed coat of okra limits ample imbibition at short priming periods.

The GC-MS analysis of the extracts detected the presence of several metabolites in the metabolome of each of them, some of which were common to all isolates. The compounds detected belong to different classes, such as alkanes, alcohols, carboxylic acids, esters, and terpenes. The ability of alcohols such as 2,3-butanediol produced by Bacillus spp to promote the growth of Arabidopsis thaliana has been reported. 60 62 Tetrahydrofuran-3-ol and 2-heptanone 2-ethyl-1-hexanol from Bacillus species can improve the growth of A. thaliana and tomato. 63

Oleic acid was detected in the metabolome of some rhizobacteria. 64 It was detected in all five strains in this study. N-hexadecanoic acid, a metabolite detected in the metabolome of two of the isolates in this study, and hexadecane can improve the growth of Vigna radiata. 65

Conclusion

This study revealed the dynamics of metabolite priming at different priming durations and metabolite concentrations. The impact of priming duration in metabolite priming was revealed in this study. It showed that seeds with large endosperms can become over-bloated at longer priming durations, impeding seed germination. Higher concentration was inhibitory to germination. Sesame and okra were the least affected seeds with metabolite priming. However, the function of the various metabolites in the isolated bacterial samples needs to be properly investigated to identify the bioactive metabolites responsible for growth promotion. The organisms themselves will have to be studied further to gain deeper insights into the production of the bioactive metabolites.

Data availability

Figshare. Raw data on germinability parameters at different metabolite concentrations and priming duration in microbial metabolite. DOI: https://doi.org/10.6084/m9.figshare.23284865.v1. 66

Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).

Acknowledgements

The authors are grateful to Afe Babalola University for providing the facilities for the study.

Ethical approval

The study did not involve humans or animals, hence ethical approval was not obtained from any ethics committee. The study proposal was however approved by the Board of the College of Postgraduate Studies, Afe Babalola University, Ado-Ekiti, Nigeria.

Funding Statement

The author(s) declared that no grants were involved in supporting this work.

[version 5; peer review: 2 approved

References

  • 1. Alam AU, Ullah H, Himanshu SK, et al. : Seed priming enhances germination and morphological, physio-biochemical, and yield traits of cucumber under water-deficit stress. J. Soil Sci. Plant Nutr. 2023;23:3961–3968. 10.1007/s42729-023-01314-3 [DOI] [Google Scholar]
  • 2. Mazhar MW, Ishtiaq M, Maqbool M, et al. : Seed priming with zinc oxide nanoparticles improves growth, osmolyte accumulation, antioxidant defence and yield quality of water-stressed mung bean plants. Arid. Land Res. Manag. 2023;37(2):222–246. 10.1080/15324982.2022.2132547 [DOI] [Google Scholar]
  • 3. Sghayar S, Debez A, Lucchini G, et al. : Seed priming mitigates high salinity impact on germination of bread wheat ( Triticum aestivum L.) by improving carbohydrate and protein mobilization. Plant Direct. 2023;7(6): e497. 10.1002/pld3.497 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Shaffique S, Khan MA, Wani SH, et al. : Biopriming of maize seeds with a novel bacterial strain SH-6 to enhance drought tolerance in south Korea. Plants. 2022;11(13):1674. 10.3390/plants11131674 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Neha T, Mohapatra S, Sirhindi G, et al. : Seed priming with brassinolides improves growth and reinforces antioxidative defenses under normal and heat stress conditions in seedlings of Brassica juncea. Physiol. Plant. 2022;174(6):e13814. 10.1111/ppl.13814 [DOI] [PubMed] [Google Scholar]
  • 6. Chunthaburee S, Sanitchon J, Pattanagul W, et al. : Alleviation of salt stress in seedlings of black glutinous rice by seed priming with spermidine and gibberellic acid. Notulae Botanicae Horti Agrobotanici Cluj-Napoca. 2014;42(2):405–413. 10.15835/nbha4229688 [DOI] [Google Scholar]
  • 7. Ibrahim EA: Seed priming to alleviate salinity stress in germinating seeds. J. Plant Physiol. 2016;192:38–46. 10.1016/j.jplph.2015.12.011 [DOI] [PubMed] [Google Scholar]
  • 8. Forti C, Shankar A, Singh A, et al. : Hydropriming and biopriming improve Medicago truncatula seed germination and upregulate DNA repair and antioxidant genes. Genes. 2020;11(3):242. 10.3390/genes11030242 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Jisha KC, Vijayakumari K, Puthur JT: Seed priming for abiotic stress tolerance: an overview. Acta Physiologiae Plantarum. 2013;35:1381–1396. 10.1007/s11738-012-1186-5 [DOI] [Google Scholar]
  • 10. Robledo DA: Effects of halopriming on seed germination and seedling emergence of Capsicum frutescens. J. Bot. Res. 2020;3(1):114–118. 10.36959/771/567 [DOI] [Google Scholar]
  • 11. Nakkeeran S, Marimuthu T, Renukadevi P, et al. : Exploring the biogeographical diversity of Trichoderma for plant health. In Biocontrol agents and secondary metabolites. Woodhead Publishing;2021 Jan 1; pp.537–571. 10.1016/B978-0-12-822919-4.00024-7 [DOI] [Google Scholar]
  • 12. Ali HM, Siddiqui MH, Al-Whaibi MH, et al. : Effect of proline and abscisic acid on the growth and physiological performance of Faba bean under water stress. Pak. J. Bot. 2013;45(3):933–940. [Google Scholar]
  • 13. Wei LX, Lv BS, Li XW, et al. : Priming of rice ( Oryza sativa L.) seedlings with abscisic acid enhances seedling survival, plant growth, and grain yield in saline-alkaline paddy fields. Field. Crop. Res. 2017;203:86–93. 10.1016/j.fcr.2016.12.024 [DOI] [Google Scholar]
  • 14. Farahmandfar E, Shirvan MB, Sooran SA, et al. : Effect of seed priming on morphological and physiological parameters of fenugreek seedlings under salt stress. Int. J. Agric. Crop Sci. 2013;5(8):811. [Google Scholar]
  • 15. Ulfat AN, Majid SA, Hameed A: Hormonal seed priming improves wheat ( Triticum aestivum L.) field performance under drought and non-stress conditions. Pak. J. Bot. 2017;49(4):1239–1253. [Google Scholar]
  • 16. Dotto L, Silva VN: Beet seed priming with growth regulators. Semina: Ciências Agrárias; . 2017;38(4):1785–1798. 10.5433/1679-0359.2017v38n4p1785 [DOI] [Google Scholar]
  • 17. Heydariyan M, Basirani N, Sharifi-Rad M, et al. : Effect of seed priming on germination and seedling growth of the caper ( Capparis Spinosa) under drought stress. Int. J. Adv. Biol. Biomed. Res. 2014;2(8):2381–2389. [Google Scholar]
  • 18. Afzal I, Rehman HU, Naveed M, et al. : Recent advances in seed enhancements. New challenges in seed biology-basic and translational research driving seed technology. 2016:47–74. 10.5772/64791 [DOI] [Google Scholar]
  • 19. Basra SM, Farooq M, Tabassam R, et al. : Physiological and biochemical aspects of pre-sowing seed treatments in fine rice ( Oryza sativa L.). Seed Sci. Technol. 2005;33(3):623–628. 10.15258/sst.2005.33.3.09 [DOI] [Google Scholar]
  • 20. Hu J, Xie XJ, Wang ZF, et al. : Sand priming improves alfalfa germination under high-salt concentration stress. Seed Sci. Technol. 2006;34(1):199–204. 10.15258/sst.2006.34.1.22 [DOI] [Google Scholar]
  • 21. Almeida OA, Araujo NO, Mulato AT, et al. : Bacterial volatile organic compounds (VOCs) promote growth and induce metabolic changes in rice. Front. Plant Sci. 2023;13:1056082. 10.3389/fpls.2022.1056082 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Bomfim CA, Coelho LG, Mendes IC, et al. : Secondary metabolites of Rhizobium tropici CIAT 899 added to Bradyrhizobium spp. inoculant promote soybean growth and increase yield. J. Soil Sci. Plant Nutri. 2021;21(4):3354–3366. 10.1007/s42729-021-00611-z [DOI] [Google Scholar]
  • 23. Choudhury A, Bordolui SK, Ray J: Optimizing priming concentration and duration of PEG 6000 for improving seed germination and vigour in chickpea ( Cicer arietinum L.). Environ. Ecol. 2023;41(3C):1953–1959. 10.60151/envec/WYKC4262 [DOI] [Google Scholar]
  • 24. Ullah Z, Hassan I, Hafiz IA, et al. : Effect of different priming treatments on seed germination of sago palm ( Cycas revoluta L.). World J. Microbiol. Biotechnol. 2020;5(1):1–3. [Google Scholar]
  • 25. Aloui h, Souguir M, Hannachi C.: Determination of an optimal priming duration and concentration protocol for pepper seeds ( Capsicum annuum L.). Acta Agriculturae Slovenica. 2014;103(2):213–221. [Google Scholar]
  • 26. Sanders ER: Aseptic laboratory techniques: plating methods. JoVE (Journal of Visualized Experiments). 2012;63: e3064. 10.3791/3064 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. William S, Feil H, Copeland A: Bacterial genomic DNA isolation using CTAB. Sigma. 2012;50(6876). [Google Scholar]
  • 28. Tamura K, Stecher G, Kumar S: MEGA11: Molecular evolutionary genetics analysis version 11. Mol. Biol. Evol. 2021;38(7):3022–3027. 10.1093/molbev/msab120 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Akpor OB, Okonkwo MA, Ogunnusi TA, et al. : Production, characterization and growth inhibitory potential of metabolites produced by Pseudomonas and Bacillus species. Sci. Afr. 2022;15: e01085. 10.1016/j.sciaf.2021.e01085 [DOI] [Google Scholar]
  • 30. Leggatt CW, Justice OL, Hay WD, et al. : Rules for testing seeds: association of official seed analysts. Proceedings of the Association of Official Seed Analysts. The Association of Official Seed Analysts 1949 Jan 1:23–59. [Google Scholar]
  • 31. Ellis RH, Covell S, Roberts EH, et al. : The influence of temperature on seed germination rate in grain legumes: II. Intraspecific variation in chickpea ( Cicer arietinum L.) at constant temperatures. J. Exp. Bot. 1986;37(10):1503–1515. 10.1093/jxb/37.10.1503 [DOI] [Google Scholar]
  • 32. Salehzade H, Shishvan MI, Ghiyasi M, et al. : Effect of seed priming on germination and seedling growth of wheat ( Triticum aestivum L.) Research. J. Biol. Sci. 2009;4(5):629–631. [Google Scholar]
  • 33. Abdul-Baki AA, Anderson JD: Vigor determination in soybean seed by multiple criteria 1. Crop Sci. 1973;13(6):630–633. 10.2135/cropsci1973.0011183X001300060013x [DOI] [Google Scholar]
  • 34. Shiade SR, Boelt B: Seed germination and seedling growth parameters in nine tall fescue varieties under salinity stress. Acta Agric. Scand. B Soil Plant Sci. 2020;70(6):485–494. 10.1080/09064710.2020.1779338 [DOI] [Google Scholar]
  • 35. Afrin S, Tahjib-Ul-Arif M, Sakil MA, et al. : Hydrogen peroxide priming alleviates chilling stress in rice ( Oryza sativa L.) by enhancing oxidant scavenging capacity. Fundam. Appl. Agric. 2019;4(1):713–722. 10.5455/faa.13554 [DOI] [Google Scholar]
  • 36. Pedrini S, Merritt DJ, Stevens J, et al. : Seed coating: science or marketing spin? Trends Plant Sci. 2017;22(2):106–116. 10.1016/j.tplants.2016.11.002 [DOI] [PubMed] [Google Scholar]
  • 37. Hung R, Lee S, Rodriguez-Saona C, et al. : Common gas phase molecules from fungi affect seed germination and plant health in Arabidopsis thaliana. AMB Express. 2014;4(1):53–57. 10.1186/s13568-014-0053-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Gfeller V, Huber M, Förster C, et al. : Root volatiles in plant–plant interactions I: High root sesquiterpene release is associated with increased germination and growth of plant neighbours. Plant Cell Environ. 2019;42(6):1950–1963. 10.1111/pce.13532 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Fincheira P, Parada M, Quiroz A: Volatile organic compounds stimulate plant growing and seed germination of Lactuca sativa. J. Soil Sci. Plant Nutr. 2017;17(4):8538–8567. [Google Scholar]
  • 40. Pallaoro DS, Camili EC, Guimarães SC, et al. : Methods for priming maize seeds. J. Seed Sci. 2016;38:148–154. 10.1590/2317-1545v38n2161132 [DOI] [Google Scholar]
  • 41. Dekkers BJ, Costa MC, Maia J, et al. : Acquisition and loss of desiccation tolerance in seeds: from experimental model to biological relevance. Planta. 2015;241:563–577. 10.1007/s00425-014-2240-x [DOI] [PubMed] [Google Scholar]
  • 42. Aminu MS, Ahmed AA, Bukar MA: Influence of seed hydro priming duration on growth and yield of soybean ( Glycine max. L. Merr) in the Sudan Savannah. Fudma J. Sci. 2022;6(4):232–237. 10.33003/fjs-2022-0604-1069 [DOI] [Google Scholar]
  • 43. Pradhan N, Moaharana RL, Ranasingh N, et al. : Effect of seed priming on different physiological parameters of Cowpea ( Vigna unguiculata L. Walp) seeds collected from Western Odisha. Pharm. Innov. J. 2022;11(6):2338–2343. [Google Scholar]
  • 44. Mehri S: Effect of seed priming on yield and yield components of soybean. Am.-Eurasian J. Agric. Environ. Sci. 2015;15(3):399–403. [Google Scholar]
  • 45. Tizazu Y, Ayalew D, Terefe G, et al. : Evaluation of seed priming and coating on germination and early seedling growth of sesame ( Sesamum indicum L.) under laboratory condition at Gondar, Ethiopia. Cogent Food Agric. 2019;5(1):1609252. 10.1080/23311932.2019.1609252 [DOI] [Google Scholar]
  • 46. Barupal S, Sharma R, Kumar M, et al. : Seed priming: A effective method for enhancing seed quality and plant stand establishment in okra ( Abelmoschus esculentus L.). J. Pharm. Innov. 2022;11(2):1359–1364. [Google Scholar]
  • 47. Kaur H, Chawla N, Pathak M: Effect of different seed priming treatments and priming duration on biochemical parameters and agronomic characters of okra ( Abelmoschus esculentus L.). Int. J. Plant Physiol. Biochem. 2015;7(1):1–1. [Google Scholar]
  • 48. Kujur AB, Lal GM: Effect of hydropriming and osmopriming on germination behaviour and vigor of soybean ( Glycine max L.) seeds. Agric. Sci. Dig. 2015;35(3):207–210. 10.5958/0976-0547.2015.00047.6 [DOI] [Google Scholar]
  • 49. Gill PK, Sharma AD, Singh P, et al. : Changes in germination, growth and soluble sugar contents of Sorghum bicolor (L.) Moench seeds under various abiotic stresses. Plant Growth Regul. 2003;40:157–162. 10.1023/A:1024252222376 [DOI] [Google Scholar]
  • 50. Badu R, Malla S, Rawal S, et al. : Effect of seed priming on germination and seedling parameters of cucumber ( Cucumis sativus L.) in Lamjung, Nepal. Turkish JAF Sci. 2022;10(10):1997–2000. 10.24925/turjaf.v10i10.1997-2000.5209 [DOI] [Google Scholar]
  • 51. Santika P, Muhklisin I, Makama SD: Effect of aeration and KNO 3 in seed priming on the germination of tomato ( Solanum lycopersicum) Seeds. Agroteknika. 2022;5(2):151–160. 10.55043/agroteknika.v5i2.153 [DOI] [Google Scholar]
  • 52. Sharma N, Sharma JR, Malik A, et al. : Effect of priming treatments on germination and seedling growth of artificially aged seed of guava (Psidium guajava). Indian J. Agric. Sci. 2022;92(4):516–520. 10.56093/ijas.v92i4.124008 [DOI] [Google Scholar]
  • 53. Arun MN, Bhanuprakash K, Hebbar SS, et al. : Effects of seed priming on biochemical parameters and seed germination in cowpea [ Vigna unguiculata (L.) Walp]. Legum. Res. 2017;40(3) 10.18805/lr.v0i0.7857 [DOI] [Google Scholar]
  • 54. Sadeghi H, Khazaei F, Yari L, et al. : Effect of seed osmopriming on seed germination behavior and vigor of soybean ( Glycine max L.). ARPN J. Agric. Biol. Sci. 2011;6(1):39–43. [Google Scholar]
  • 55. Saeedipour S: Effect of phytohormone seed priming on germination and seedling growth of cowpea ( Vigna sinensis L.) under different duration of treatment. Int. J. Biosci. 2013;3(12):187–192. 10.12692/ijb/3.12.187-192 [DOI] [Google Scholar]
  • 56. Rahman I, Ali S, Adnan M, et al. : Effect of seed priming on growth parameters of Okra ( Abelmoschus esculentus L.). Pure Appl. Biol. 2016;5(1):165–171. 10.19045/bspab.2016.50021 [DOI] [Google Scholar]
  • 57. Shah A, Subramanian S, Smith DL: Seed priming with Devosia sp. cell-free supernatant (CFS) and citrus bioflavonoids enhance canola and soybean seed germination. Molecules. 2022;27(11):3410. 10.3390/molecules27113410 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Dhakal P, Subedi R: Influence of mannitol priming on maize seeds under induced water stress. J. Agric. Crops. 2020;6(3):27–31. 10.32861/jac.63.27.31 [DOI] [Google Scholar]
  • 59. Ebrahimi N, Kaboli SH: Effect of different times and KNO 3 concentrations on Silybum marianum seedling enhancement. Journal of Medicinal Plants and By-product. 2020;9(1):51–58. [Google Scholar]
  • 60. Ryu CM, Farag MA, Paré PW, et al. : Invisible signals from the underground: bacterial volatiles elicit plant growth promotion and induce systemic resistance. Plant Pathol. J. 2005;21(1):7–12. 10.5423/PPJ.2005.21.1.007 [DOI] [Google Scholar]
  • 61. Asari S, Matzén S, Petersen MA, et al. : Multiple effects of Bacillus amyloliquefaciens volatile compounds: plant growth promotion and growth inhibition of phytopathogens. FEMS Microbiol. Ecol. 2016;92(6):fiw070. 10.1093/femsec/fiw070 [DOI] [PubMed] [Google Scholar]
  • 62. Rath M, Mitchell TR, Gold SE: Volatiles produced by Bacillus mojavensis RRC101 act as plant growth modulators and are strongly culture-dependent. Microbiol. Res. 2018;208:76–84. 10.1016/j.micres.2017.12.014 [DOI] [PubMed] [Google Scholar]
  • 63. Jiang CH, Xie YS, Zhu K, et al. : Volatile organic compounds emitted by Bacillus sp. JC03 promote plant growth through the action of auxin and strigolactone. Plant Growth Regul. 2019;87(2):317–328. 10.1007/s10725-018-00473-z [DOI] [Google Scholar]
  • 64. Liu WW, Wei MU, Zhu BY, et al. : Antagonistic activities of volatiles from four strains of Bacillus spp. and Paenibacillus spp. against soil-borne plant pathogens. Agric. Sci. China. 2008;7(9):1104–1114. 10.1016/S1671-2927(08)60153-4 [DOI] [Google Scholar]
  • 65. Jishma P, Hussain N, Chellappan R, et al. : Strain-specific variation in plant growth promoting volatile organic compounds production by five different Pseudomonas spp. as confirmed by response of Vigna radiata seedlings. J. Appl. Microbiol. 2017;123(1):204–216. 10.1111/jam.13474 [DOI] [PubMed] [Google Scholar]
  • 66. Akpor O: Raw data on germinability parameters at different metabolite concentrations and priming duration in microbial metabolite.Dataset. figshare. 2023. 10.6084/m9.figshare.23284865.v1 [DOI]
F1000Res. 2024 Oct 17. doi: 10.5256/f1000research.172328.r329600

Reviewer response for version 5

Olatunde Samuel Dahunsi 1

Authors have satisfactorily addressed all my previous concerns. I now approve this submission for acceptance and indexing.

Is the work clearly and accurately presented and does it cite the current literature?

Yes

If applicable, is the statistical analysis and its interpretation appropriate?

Yes

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Partly

Are the conclusions drawn adequately supported by the results?

Yes

Are sufficient details of methods and analysis provided to allow replication by others?

Yes

Reviewer Expertise:

NA

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

F1000Res. 2024 Oct 3. doi: 10.5256/f1000research.169416.r306176

Reviewer response for version 4

Sowmyalakshmi Subramanian 1

Thank you for making the changes.

Is the work clearly and accurately presented and does it cite the current literature?

No

If applicable, is the statistical analysis and its interpretation appropriate?

Partly

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Partly

Are sufficient details of methods and analysis provided to allow replication by others?

Yes

Reviewer Expertise:

NA

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

F1000Res. 2024 Sep 20. doi: 10.5256/f1000research.169416.r325426

Reviewer response for version 4

Olatunde Samuel Dahunsi 1

I have reviewed the manuscript appropriately. The study was well conceived, designed and executed while the presented results are commendable. I have no challenge reading through the manuscript and can recommend acceptance after some minor revision. My comments includes:

  1. There is need to improve the English language usage throughout the manuscript

  2. The keyword section is not acceptable in the current state all keywords are directly taken from the manuscript title besides that the number are few. I encourage authors to overhaul the section by selecting words or phrases that best describe the content of the manuscript and that can be used for indexing and abstracting purposes.

  3. In the method section, details of bacterial isolation and characterization should be given as well as those of metabolite characterization.

  4. The provided ascension numbers should be well clarified.

  5. Generally, authors need to overhaul the grammar in this manuscript.

Is the work clearly and accurately presented and does it cite the current literature?

Yes

If applicable, is the statistical analysis and its interpretation appropriate?

Yes

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Partly

Are the conclusions drawn adequately supported by the results?

Yes

Are sufficient details of methods and analysis provided to allow replication by others?

Yes

Reviewer Expertise:

English usage, methods and general formatting

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

F1000Res. 2024 Sep 27.
Oghenerobor B Akpor 1

Dear Reviewer,

Please find within this document our responses to your comments.

Comment: There is need to improve the English language usage throughout the manuscript

Response: The manuscript has been further reviewed to improve presentation style.

Comment: The keyword section is not acceptable in the current state all keywords are directly taken from the manuscript title besides that the number are few. I encourage authors to overhaul the section by selecting words or phrases that best describe the content of the manuscript and that can be used for indexing and abstracting purposes.

Response: The necessary corrections have been made throughout the manuscript.

Comment: In the method section, details of bacterial isolation and characterization should be given as well as those of metabolite characterization.

Response: This section has been overhauled.

Comment: The provided ascension numbers should be well clarified.

Response: The necessary corrections have been made.

Comment: Generally, authors need to overhaul the grammar in this manuscript.

Response: The manuscript has been extensively reviewed to improve grammar and style.

Thanks.

F1000Res. 2024 Jul 10. doi: 10.5256/f1000research.167213.r285910

Reviewer response for version 3

Sowmyalakshmi Subramanian 1

Comment 5: Statistical analysis - 

Authors' response _  We are of the opinion that the alphabet separation method of statistical presentation is adequate. The addition of  p-values for pairwise comparisons will make the results somewhat ambiguous, almost incomprehensible, and unsightly because it will require the inclusion of hundreds of  p-values. One table alone will generate 90  p-values.

Review comment - p-value is of importance in any statistical analysis and it needs to be included in the Tables. If not in the main text, it certainly has to be in the supplementary tables. It is not about how unsightly the tables look, but that they have a meaning to the data analyzed.

Is the work clearly and accurately presented and does it cite the current literature?

No

If applicable, is the statistical analysis and its interpretation appropriate?

Partly

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Partly

Are sufficient details of methods and analysis provided to allow replication by others?

Yes

Reviewer Expertise:

Plant-Microbe Interactions, Genomics, Transcriptomics, Proteomics, Metabolomics, Biostimulants, Biocontrol

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

F1000Res. 2024 Jul 19.
Oghenerobor B Akpor 1

Dear Reviewer,

Thank you for the review, please find enclosed within this document our response to your comments.

Comment: p-value is of importance in any statistical analysis and it needs to be included in the Tables. If not in the main text, it certainly has to be in the supplementary tables. It is not about how unsightly the tables look, but that they have a meaning to the data analyzed.

Response: The p-vales have been included as tables in the supplementary files.

Regards

F1000Res. 2024 May 23. doi: 10.5256/f1000research.160450.r274606

Reviewer response for version 2

Sowmyalakshmi Subramanian 1

The title should be changed – Seed priming is the term used for soaking seeds in water or any other soaking treatment to enhance germination. Change all the “steeping/steep” words to “priming”.

Also, the work is about the germination potential of metabolites extracted from cell-free supernatant of bacteria and not just from the bacteria. This way, components of the medium in which the culture was grown will also be present in this metabolite extract. The authors have to justify clearly that the compounds/metabolites affecting the germination are from the bacteria and not from the medium. What growth medium was used to grow these bacteria? And was the growth medium also tested as a control?

If water was used as control, in this case there should be two controls – one with just water for germination and the other with water as a seed prime. In fact, water as a seed prime works really well. If a treatment works better than seed primed water control, then seed priming makes sense.

Kindly correct the SI units and the formatting. For example, 50℃ should be 50 ℃, 1000 mg L -1 etc. Be consistent with this type of formatting through out the text.

The results section should have statistical analysis data associated with the germination data and with the p-values obtained by the analysis, to keep in accordance with a scientific publication. This part is lacking in this work, although Tables 1 (Cowpea), 2 (Soybean), 3 (Sesame) do represent alphabet separation but no p-values.

Is the work clearly and accurately presented and does it cite the current literature?

No

If applicable, is the statistical analysis and its interpretation appropriate?

Partly

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Partly

Are sufficient details of methods and analysis provided to allow replication by others?

Yes

Reviewer Expertise:

Plant-Microbe Interactions, Genomics, Transcriptomics, Proteomics, Metabolomics, Biostimulants, Biocontrol

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

F1000Res. 2024 May 28.
Oghenerobor B Akpor 1

Dear Reviewer,

The responses to review comments are as follows:

1. Comment: The title should be changed – Seed priming is the term used for soaking seeds in water or any other soaking treatment to enhance germination.

Response: The suggested correction has been made.

2. Comment: Change all the “steeping/steep” words to “priming”.

Response: The necessary corrections have been made throughout the manuscript.

3. Comment: Also, the work is about the germination potential of metabolites extracted from cell-free supernatant of bacteria and not just from the bacteria. This way, components of the medium in which the culture was grown will also be present in this metabolite extract. The authors have to justify clearly that the compounds/metabolites affecting the germination are from the bacteria and not from the medium. What growth medium was used to grow these bacteria? And was the growth medium also tested as a control? If water was used as control, in this case there should be two controls – one with just water for germination and the other with water as a seed prime. In fact, water as a seed prime works really well. If a treatment works better than seed primed water control, then seed priming makes sense.

Response: Nutrient broth was used to grow the organisms. During preliminary investigation (data not reported) involving 75 isolates, two (2) controls were used. The controls were water and sterile nutrient broth. Elimination was based on the ability of an isolate to produce significantly higher vigor index than those obtained through both water and broth priming. It was this selection criteria that produced this group of 15 isolates used in this study.

4. Comment: Kindly correct the SI units and the formatting. For example, 50℃ should be 50 ℃, 1000 mg L -1 etc. Be consistent with this type of formatting through out the text.

Response: Adequate attention has been paid to this and necessary corrections made.

5. Comment: The results section should have statistical analysis data associated with the germination data and with the p-values obtained by the analysis, to keep in accordance with a scientific publication. This part is lacking in this work, although Tables 1 (Cowpea), 2 (Soybean), 3 (Sesame) do represent alphabet separation but no p-values.

Response: We are of the opinion that the alphabet separation method of statistical presentation is adequate. The addition of p-values for pairwise comparisons will make the results somewhat ambiguous, almost incomprehensible, and unsightly because it will require the inclusion of hundreds of p-values. One table alone will generate 90 p-values.

Thanks.

F1000Res. 2023 Oct 6. doi: 10.5256/f1000research.150476.r201475

Reviewer response for version 1

Hillary Righini 1

Abstract

First, why did the authors choose bacteria agents of human-infection for extraction of metabolite?? Could they represent risk also in agriculture for the environment and for the workers(in a view for future application)?  This is an important issue that must be well argued and explained.

The work consists of only a test on seed germination, so I think that materials and methods should be more and better explained.

Then, the authors must pay attention to the language. The text is difficult to read and it does not flow well. In particular, the abstract is very difficult to read because of English language.

A careful checking for spelling and grammatical is required throughout the text and often the sentences have no sense.

Materials and methods lack of many important details.

Here, I reported some suggestions, but MORE are needed.

ABSTRACT

‘Vigorous germination and growth are linked to crop yield.’ This sentence should introduce better the scope of this work. In this way it doesn’t mean anything.

‘For concentration it was either a case of lower concentration being optimal or there was no detectable pattern with concentration.’ It is difficult to read and understand.

Through out the manuscript, there are several sentence like this, very difficult to understand.

I would like to underline that ‘a seed can be treated, not steeped’. So, seeds were treated by immersion/dipping/soaking for a period.

MATERIALS AND METHODS

‘.. until when needed.’, it better ‘until use’.

‘The bacterial strains were isolated using the standard pour-plating procedure’, it needs a reference.

‘After isolation, distinct colonies were streaked on nutrient agar plates to obtain pure cultures,’. How was carried out the isolation? How did you identified the bacteria?

It is not clear the temporal succession of the methodological steps.

Have you isolated the bacteria? And then identified? Or they were already isolated, identified and stored in your university??

‘Prior to use, the respective seeds were subjected to viability tests.’ Change with ‘First, a test was carried out on seeds in order to assess their viability’.

‘Preliminary viability testing was carried out by soaking approximately 100 seeds from a lot in 200 mL of sterile distilled in a 400 mL beaker and allowed to stand for 2 min. ‘ I suggest to change with ‘Preliminary viability testing was carried out by soaking 100 seeds in 200 mL of sterile distilled in a beaker for 2 min’.

‘approximately’ is not a scientific term.

‘sterile distilled’ what? Water, compounds?

It is only one ‘viability test’ that includes two steps: first step for excluding those seeds that floated, the second step for testing the germination percentage. This part should be explained better.

‘cotton wool’ was sterilized?

Has the cotton been moistened? Which were the environmental conditions during the incubation for 7 days? Temperature (day/night), humidity.

‘known concentration’, which ones?

‘respective’ which ones?

‘under 1, 2, 3, 4, and 5 h’. Not correct.  The right way is ‘FOR 1,2,3,4 or 5 hours.’ (For example, seeds were treated by immersion for 4 hours).

Each formula needs a reference.

It is not clear how the authors have weight the compounds to obtain 200 mg/L, 400 mg/L, 600 mg/L, 800 mg/L and 1000 mg/L.

In materials and methods, there is no a statical paragraph. It is not clear how many repetitions. Where is the control?

K, L, M, N, O: it is not clear their meaning. Moreover, in the results sometimes 'K, L, M, N, O' are reporte, sometimes the name of bacterial species. It is a confused way.

‘The bacterial strains were isolated using the standard pour-plating procedure’ explain the procedure and insert a reference for it.’

‘from rhizospheres within Afe Babalola University environment’: rhizosphere of which plant? How was this environment managed? Was there any crop, are still any crops?  Is it a resting soil?

‘Afe Babalola University’ change with ‘Afe Babalola University (Ekiti, Nigeria)’

‘All the seeds were sourced from local markets in Ado Ekiti, Ekiti State, Nigeria’. You must indicate the producer, the city, an the production and purchase date.

Is the work clearly and accurately presented and does it cite the current literature?

No

If applicable, is the statistical analysis and its interpretation appropriate?

No

Are all the source data underlying the results available to ensure full reproducibility?

No

Is the study design appropriate and is the work technically sound?

No

Are the conclusions drawn adequately supported by the results?

No

Are sufficient details of methods and analysis provided to allow replication by others?

No

Reviewer Expertise:

Agriculture

I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.

F1000Res. 2023 Dec 20.
Oghenerobor B Akpor 1

Dear Reviewer,

Please find enclosed our responses to your comments.

First, why did the authors choose bacteria agents of human-infection for extraction of metabolite?? Could they represent risk also in agriculture for the environment and for the workers (in a view for future application)?  This is an important issue that must be well argued and explained.

Answer: Serratia is a genus of opportunistic pathogens of immunocompromised patients. The main pathogen in this genus is Serratia marcescens and Serratia liquefaciens are rarely implicated in infectious diseases. Providencia rettgeri is also a rare pathogen of humans and Bacillus cereus is a minor pathogen of foodborne illnesses. Moreover, strains of these organisms are common constituents of commercial preparations for plant growth promotion. This informed our decision to include them in this study. Nevertheless, the investigation of their pathogenicity will be carried out down the line in view of possible future application. Only then can their biosafety be ascertained.

The work consists of only a test on seed germination, so I think that materials and methods should be more and better explained.

Answer: The authors have gone to great lengths to expound the Material and Methods section.

Then, the authors must pay attention to the language. The text is difficult to read and it does not flow well. In particular, the abstract is very difficult to read because of English language.

Answer: The errors have been corrected. Significant improvements have been made to the composition and flow of the text.

A careful checking for spelling and grammatical is required throughout the text and often the sentences have no sense.

Answer: The authors have gone to great lengths to improve the grammar, style, and spelling in the text

Materials and methods lack of many important details.

Answer: Significant and important changes have been made.

Here, I reported some suggestions, but MORE are needed.

ABSTRACT

‘Vigorous germination and growth are linked to crop yield.’ This sentence should introduce better the scope of this work. In this way it doesn’t mean anything.

Answer: Rectified.

‘For concentration it was either a case of lower concentration being optimal or there was no detectable pattern with concentration.’ It is difficult to read and understand.

Through out the manuscript, there are several sentences like this, very difficult to understand.

Answer: Corrected.

I would like to underline that ‘a seed can be treated, not steeped’. So, seeds were treated by immersion/dipping/soaking for a period.

Answer: The necessary has been made.

MATERIALS AND METHODS

‘.. until when needed.’, it better ‘until use’.

Answer: Corrected.

‘The bacterial strains were isolated using the standard pour-plating procedure’, it needs a reference.

Answer: Corrected.

‘After isolation, distinct colonies were streaked on nutrient agar plates to obtain pure cultures,’. How was carried out the isolation? How did you identified the bacteria?

Answer: The requisite changes have been made.

It is not clear the temporal succession of the methodological steps.

Answer: Changes have been made. It now follows a logical succession.

Have you isolated the bacteria? And then identified? Or they were already isolated, identified and stored in your university?

Answer: They were isolated from a previous experiment separate from this study and stored on agar slants. They were identified through 16S rRNA.

‘Prior to use, the respective seeds were subjected to viability tests.’ Change with ‘First, a test was carried out on seeds in order to assess their viability’.

Answer: The suggested correction has been made

‘Preliminary viability testing was carried out by soaking approximately 100 seeds from a lot in 200 mL of sterile distilled in a 400 mL beaker and allowed to stand for 2 min. ‘ I suggest to change with ‘Preliminary viability testing was carried out by soaking 100 seeds in 200 mL of sterile distilled in a beaker for 2 min’.

Answer: The suggested correction has been made

approximately’ is not a scientific term.

Answer: The suggested correction has been made

‘sterile distilled’ what? Water, compounds?

Answer: Water. The necessary correction has been made

It is only one ‘viability test’ that includes two steps: first step for excluding those seeds that floated, the second step for testing the germination percentage. This part should be explained better.

Answer: The suggested correction has been made

‘cotton wool’ was sterilized?

Answer: No.

Has the cotton been moistened? Which were the environmental conditions during the incubation for 7 days? Temperature (day/night), humidity.

Answer: Those were not measured.

‘known concentration’, which ones?

Answer: This has been corrected

‘respective’ which ones?

Answer: The 4 different seeds. It has been recast

‘under 1, 2, 3, 4, and 5 h’. Not correct.  The right way is ‘FOR 1,2,3,4 or 5 hours.’ (For example, seeds were treated by immersion for 4 hours).

Answer: The suggested correction has been made

Each formula needs a reference.

Answer: They were actually included in the original manuscript submitted.

It is not clear how the authors have weight the compounds to obtain 200 mg/L, 400 mg/L, 600 mg/L, 800 mg/L and 1000 mg/L.

Answer: Corrections made .

In materials and methods, there is no a statical paragraph. It is not clear how many repetitions.

Answer: The suggested correction has been made.

Where is the control?

Answer: No control because water is water, no concentration gradient.

K, L, M, N, O: it is not clear their meaning. Moreover, in the results sometimes 'K, L, M, N, O' are reported, sometimes the name of bacterial species. It is a confused way.

Answer: The full names were only used in the presentation of the results of metabolite characterization to ensure brevity, elsewhere in the Result section the letters were used.

‘The bacterial strains were isolated using the standard pour-plating procedure’ explain the procedure and insert a reference for it.’

Answer: Rectified

‘from rhizospheres within Afe Babalola University environment’: rhizosphere of which plant? How was this environment managed? Was there any crop, are still any crops?  Is it a resting soil?

Answer: 1. It’s a resting soil with various grasses. 2. The rhizospheres were not noted. 3. It was a managed grassland.

‘Afe Babalola University’ change with ‘Afe Babalola University (Ekiti, Nigeria)’

Answer: The suggested correction has been made

‘All the seeds were sourced from local markets in Ado Ekiti, Ekiti State, Nigeria’. You must indicate the producer, the city, an the production and purchase date.

Answer: Unfortunately, the seeds were not labelled. But they were procured from a seed dealer who supplies farmers with fresh seeds. Nonetheless, in order to ascertain their viability, the germination test was carried out

F1000Res. 2023 Sep 4. doi: 10.5256/f1000research.150476.r193085

Reviewer response for version 1

Debasis Mitra 1,2

The manuscript "Effects of steeping duration and concentration of metabolites from rhizosphere bacteria on germinability of cowpea ( Vigna unguiculata), soybean ( Glycine max), sesame ( Sesamum indicum) and okra ( Abelmoschus esculentus)" investigated a compelling topic to evaluate the impact of steeping duration and metabolite concentration on seed priming of five distinct crops, utilizing the metabolites of five bacterial isolates that were also characterized via Gas Chromatography-Mass Spectrometry (GC-MS). The results indicated that longer steeping duration may have a negative effect on larger endosperm seeds, such as cowpea and soybean, and further research is needed to isolate and purify the active compounds for additional studies and practical applications. Despite the fact that this study has many positive aspects and is suitable for this journal's scope, however, the manuscript needs to be revised critically and some important details need to be addressed.

Minor Comments:

Correct all grammatical mistakes. Verify that every citation in the text is linked to an appropriate reference in the reference section. Ensure that every reference has a textual citation that corresponds to it.

Major Comments:

  • Revise the title, remove the crops scientific name from the title, and add all in abstract.

  • The abstract is a too general statement that does not convey the objective of your study and highlights the major flaws in your discussion of findings.

  • Add Gas Chromatography-Mass Spectrometry (GC-MS) in Keywords

  • “The bacterial strains were isolated from rhizospheres within Afe Babalola University environment.” rewrite it and give proper isolation and identification details.

  • Metabolite extraction protocol must be explained in detail alone with GC-MS procedure.

  • “Ethical approval” put it in end.

  • NCBI accession numbers show in one place only, no need to write in every place. It's recommended to use it with the strain name or code.

    Example. OP830504 - Serratia liquefaciens AYO-O or AYO-O; OP830503 - Serratia liquefaciens AYO-N or AYO-N; OP830491 - Providencia rettgeri AYO-B /AYO-B....

  • The conclusion is poorly written and lacks properly investigated findings and discussion regarding the role of metabolites in crop growth and development.

Is the work clearly and accurately presented and does it cite the current literature?

No

If applicable, is the statistical analysis and its interpretation appropriate?

I cannot comment. A qualified statistician is required.

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

No

Are sufficient details of methods and analysis provided to allow replication by others?

Partly

Reviewer Expertise:

Plant Microbe Interactions, Soil Microbiology,Arbuscular Mycorrhizal Fungi, Biocontrol, Environmental Microbiology, Strigolactone

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

F1000Res. 2023 Dec 20.
Oghenerobor B Akpor 1

Dear Reviewer,

Please find enclosed within this document our response to your comments.

Minor comments:

Correct all grammatical mistakes. Verify that every citation in the text is linked to an appropriate reference in the reference section. Ensure that every reference has a textual citation that corresponds to it.

Response: Adequate attention has been paid to the grammar, citation, and referencing.

Major Comments:

  • Revise the title, remove the crops scientific name from the title, and add all in abstract.

Response: This has been attended to.

  • The abstract is a too general statement that does not convey the objective of your study and highlights the major flaws in your discussion of findings.

Response: Rectified

  • Add Gas Chromatography-Mass Spectrometry (GC-MS) in Keywords

Response: Rectified

  • “The bacterial strains were isolated from rhizospheres within Afe Babalola University environment.” rewrite it and give proper isolation and identification details.

Response: Corrected

  • Metabolite extraction protocol must be explained in detail alone with GC-MS procedure.

Response: Revised

  • “Ethical approval” put it in end.

Response: The stipulated correction has been made

  • NCBI accession numbers show in one place only, no need to write in every place. It's recommended to use it with the strain name or code.

    Example. OP830504 -  Serratia liquefaciens AYO-O or AYO-O; OP830503 -  Serratia liquefaciens AYO-N or AYO-N; OP830491 -  Providencia rettgeri AYO-B /AYO-B....

Response: Corrections have been made

  • The conclusion is poorly written and lacks properly investigated findings and discussion regarding the role of metabolites in crop growth and development.

Response: It has been reworked

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Citations

    1. Akpor O: Raw data on germinability parameters at different metabolite concentrations and priming duration in microbial metabolite.Dataset. figshare. 2023. 10.6084/m9.figshare.23284865.v1 [DOI]

    Data Availability Statement

    Figshare. Raw data on germinability parameters at different metabolite concentrations and priming duration in microbial metabolite. DOI: https://doi.org/10.6084/m9.figshare.23284865.v1. 66

    Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).


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