# Morphological descriptions and morphometric discriminant function analysis reveal an additional four groups of Scylla spp
> Fazhan H.

URL kanonis: https://discover.unhas.ac.id/publications/morphological-descriptions-and-morphometric-discriminant-function-analysis-revea
Jurnal / Konferensi: Peerj
Tahun terbit: 2020
DOI: https://doi.org/10.7717/peerj.8066
ISSN: 21678359
Kuartil SJR: Q1
Citations: 44

## Authors
- Fazhan H.

## Abstract
There are four species of mud crabs within the genus <i>Scylla</i>, and most of them live sympatrically in the equatorial region. Apart from a report in Japan about the finding of a natural <i>Scylla</i> hybrid more than a decade ago after the division of genus <i>Scylla</i> into four species by Keenan, Davie & Mann (1998), no subsequent sighting was found. Thus, this study investigates the possible natural occurrence of potential hybridization among <i>Scylla</i> species in the wild. A total of 76,211 individuals from mud crab landing sites around the Malacca Straits, South China Sea and Sulu Sea were screened. In addition to the four-purebred species, four groups (SH 1, <i>n</i> = 2, 627; SH 2, <i>n</i> = 136; SH 3, <i>n</i> = 1; SH 4, <i>n</i> = 2) with intermediate characteristics were found, mostly at Sulu Sea. Discriminant Function Analysis revealed that all <i>Scylla</i> species, including SH 1 - 4, are distinguishable via their morphometric ratios. The most powerful discriminant ratios for each character and the top five discriminant ratios of males and females were suggested. The carapace width of SH 1 males and females were significantly smaller than pure species. Based on the discriminant ratios and the description of morphological characters, we hypothesize that the additional four groups of <i>Scylla</i> with intermediate characteristics could be presumed hybrids. Future work at the molecular level is urgently needed to validate this postulate.

## Keywords
- Discriminant function analysis
- Linear discriminant analysis
- Biology
- Zoology
- Evolutionary biology
- Morphological analysis
- Artificial intelligence
- Mathematics
- Statistics
- Computer science

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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