Phylogenetic analysis and metabolic profiling were used to investigate the diversity of plant material within the ginger species and between ginger and closely related species in the genus Zingiber (Zingiberaceae). In addition, anti-inflammatory data were obtained for the investigated species. Phylogenetic analysis demonstrated that all Zingiber officinale samples from different geographical origins were genetically indistinguishable. In contrast, other Zingiber species were significantly divergent, allowing all species to be clearly distinguished using this analysis. In the metabolic profiling analysis, the Z. officinale samples derived from different origins showed no qualitative differences in major volatile compounds, although they did show some significant quantitative differences in non-volatile composition, particularly regarding the content of [6]-, [8]-, and [10]-gingerols, the most active anti-inflammatory components in this species. The differences in gingerol content were verified by HPLC. The metabolic profiles of other Zingiber species were very different, both qualitatively and quantitatively, when compared to Z. officinale and to each other. Comparative DNA sequence/chemotaxonomic phylogenetic trees showed that the chemical characters of the investigated species were able to generate essentially the same phylogenetic relationships as the DNA sequences. This supports the contention that chemical characters can be used effectively to identify relationships between plant species. Anti-inflammatory in vitro assays to evaluate the ability of all extracts from the Zingiber species examined to inhibit LPS-induced PGE(2) and TNF-alpha production suggested that bioactivity may not be easily predicted by either phylogenetic analysis or gross metabolic profiling. Therefore, identification and quantification of the actual bioactive compounds are required to guarantee the bioactivity of a particular Zingiber sample even after performing authentication by molecular and/or chemical markers.
Pharmacology, Toxicology and Pharmaceutical Science
15
7%
Other
19
9%
Unknown
69
33%
Attention Score in Context
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 June 2025.
All research outputs
#6,703,351
of 31,211,351 outputs
Outputs from Phytochemistry
#913
of 8,061 outputs
Outputs of similar age
#18,849
of 89,704 outputs
Outputs of similar age from Phytochemistry
#13
of 47 outputs
Altmetric has tracked 31,211,351 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,061 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 89,704 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
