| Literature DB >> 26150742 |
Pheravut Wongsawad1, Yuwadee Peerapornpisal1.
Abstract
Green algae, Spirogyra (Chlorophyta), are found in a wide range of habitats including small stagnant water bodies, rivers, and streams. Species identification of Spirogyra based on morphological characteristics has proven to be a difficult process. An accurate identification method is required to evaluate genetic variations. This study is aimed at investigating the molecular profiling of 19 samples of Spirogyra from northern and northeastern Thailand. The morphological characteristics of each sample were recorded, viz. cell dimensions (width and length), along with the number and arrangement of chloroplast spirals/pyrenoids. With regard to a correlation of the biological and ecological parameters, conductivity was clearly significantly related to the number of pyrenoids. While DO is negatively related to the number of chloroplast spirals. Molecular studies with 10 ISSR primers were amplified to examine the DNA fingerprints. Morphological characters were determined to be significantly different by revealing 5 traits (P < 0.05) for all specimens. In addition, the DNA markers of all specimens were investigated using 10 ISSR primers. The results show that the PCR technique amplified 108 fragments. An analysis of the DNA fragments grouped all samples by ISRR-PCR, which were then separated into two groups according to their distribution.Entities:
Keywords: ISSR-PCR; Molecular profiling; Morphology; Spirogyra; Thailand
Year: 2014 PMID: 26150742 PMCID: PMC4486733 DOI: 10.1016/j.sjbs.2014.10.004
Source DB: PubMed Journal: Saudi J Biol Sci ISSN: 1319-562X Impact factor: 4.219
Morphological characteristic of each Spirogyra specimens in each trait.
| Details | Trait 1 | Trait 2 | Trait 3 | Trait 4 | Trait 5 |
|---|---|---|---|---|---|
| Vegetative cell width (μm) | 41–92 | 40–56 | 35–60 | 41–50 | 43–63 |
| Vegetative cell length(μm) | 115–223 | 80–185 | 90–193 | 127–164 | 93–195 |
| L/W ratio vegetative cell | 2.4–2.8 | 2.0–3.3 | 2.57–3.21 | 3.09–3.28 | 2.16–3.09 |
| Number of chloroplasts | 2–3 | 2 | 3 | 2 | 4–5 |
| Shape of zoospore | Ellipsoid | ns | ns | ns | ns |
| Zoospore width | 60–73 | ns | ns | ns | ns |
| Zoospore length | 75–95 | ns | ns | ns | ns |
| L/W ratio zoospore | 1.25–1.3 | ns | ns | ns | ns |
| Shape of pyrenoid | Discoid |
Remark: ns = not seen.
Figure 1Location of 19 sampling sites (★) where the samples of Spirogyra spp. were collected.
Measurement and methods for investigating the ecological and biological parameters of Spirogyra spp. at field and laboratory investigations.
| Type of parameters | Parameters | Equipments and methods |
|---|---|---|
| Ecological | Conductivity | Consort™ multi-meter |
| pH | Consort™ multi-meter | |
| Total dissolved solids (TDS) | Consort™ multi-meter | |
| Salinity | Consort™ multi-meter | |
| Dissolved Oxygen (DO) | Azide modification method | |
| Biological | Width of cell | Light microscope |
| Length of cell | Light microscope | |
| Number of spiral | Light microscope | |
| Number of granule | Light microscope | |
List of ISSR primers use to generate DNA fragment by ISSR PCR.
| Primer name | Sequence 5′ → 3′ | Length |
|---|---|---|
| UBC 807 | AGA GAG AGA GAG AGA GT | 17 |
| UBC 808 | AGA GAG AGA GAG AGA GC | 17 |
| UBC 809 | AGA GAG AGA GAG AGA GG | 17 |
| UBC 825 | ACA CAC ACA CAC ACA CT | 17 |
| UBC 826 | ACA CAC ACA CAC ACA CC | 17 |
| UBC 827 | ACA CAC ACA CAC ACA CG | 17 |
| UBC 835 | AGA GAG AGA GAG AGA GYC | 18 |
| UBC 857 | ACA CAC ACA CAC ACA CYG | 18 |
| UBC 855 | ACA CAC ACA CAC ACA CYT | 18 |
| UBC 821 | GTG TGT GTG TGT GTG TT | 17 |
Figure 2Five different morphological patterns of Spirogyra specimens collected from Thailand, (A and B) condensed and slightly compacted chloroplast spirals, (C) short cells with scattered chloroplast spirals, (D) long cells with few chloroplast spirals, (E) short cells with few chloroplast spirals, (F) long cells with condensed and compact chloroplast spirals (scale bar = 30 μm).
Figure 5Cladogram of Spirogyra using ISSR-PCR.
Figure 6Dendrogram of hierarchical cluster analysis showing the correlation of each parameter.