Numerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia

Abstract. Ningrum AM, Chasani AR. 2021. Numerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia. Biodiversitas 22: 3057-3064. Human activities such as industrial and tourism development on coastal areas in Indonesia are...

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Autores principales:	Ajeng Meidya Ningrum, Abdul Razaq Chasani
Formato:	article
Lenguaje:	EN
Publicado:	MBI & UNS Solo 2021
Materias:	phenetic, phylogenetic, clustering, ordination, brown seaweeds Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/4b2ba378d84647eb9100811592baa19b
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spelling	oai:doaj.org-article:4b2ba378d84647eb9100811592baa19b2021-11-22T12:14:18ZNumerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia1412-033X2085-472210.13057/biodiv/d220607https://doaj.org/article/4b2ba378d84647eb9100811592baa19b2021-05-01T00:00:00Zhttps://smujo.id/biodiv/article/view/8249https://doaj.org/toc/1412-033Xhttps://doaj.org/toc/2085-4722Abstract. Ningrum AM, Chasani AR. 2021. Numerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia. Biodiversitas 22: 3057-3064. Human activities such as industrial and tourism development on coastal areas in Indonesia are dreaded to affect seaweed diversity, including brown seaweeds (Phaeophyceae). Though study on brown seaweeds diversity has been done quite a lot, there is no record of analysis of phenetic and phylogenetic relationships among brown seaweeds. Hence, this study aims to determine the phenetic and phylogenetic relationships in silico among brown seaweeds and define characters that play a role in the clustering of brown seaweeds from Gunungkidul, Yogyakarta, Indonesia. Exploration was done using purposive sampling method. Numerical phenetic analysis was generated using MVSP 3.1. Further clustering method was implemented to identify phenetic relationships The PCA method was used to reveal morphological, anatomical, and biochemical characters that determine the clustering pattern. The phylogenetic relationships in silico analysis were conducted using rbcL genes from NCBI GenBank database. All multiple sequences were aligned using ClustalW and phylogram reconstruction was performed using Neighbor-Joining (NJ) method in MEGA 7.0. Our study showed that both the analyses, i.e., numerical phenetic and phylogenetic relationships in silico resulted in two main clusters although the species composition of the clusters was slightly different. The PCA analysis indicated that the morphological characters i.e. blade shape, phylloid shape, thalli height, length of the main axis, and the water bladder shape play an important role in the clustering of brown seaweeds species.Ajeng Meidya NingrumAbdul Razaq ChasaniMBI & UNS Soloarticlephenetic, phylogenetic, clustering, ordination, brown seaweedsBiology (General)QH301-705.5ENBiodiversitas, Vol 22, Iss 6 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	phenetic, phylogenetic, clustering, ordination, brown seaweeds Biology (General) QH301-705.5
spellingShingle	phenetic, phylogenetic, clustering, ordination, brown seaweeds Biology (General) QH301-705.5 Ajeng Meidya Ningrum Abdul Razaq Chasani Numerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia
description	Abstract. Ningrum AM, Chasani AR. 2021. Numerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia. Biodiversitas 22: 3057-3064. Human activities such as industrial and tourism development on coastal areas in Indonesia are dreaded to affect seaweed diversity, including brown seaweeds (Phaeophyceae). Though study on brown seaweeds diversity has been done quite a lot, there is no record of analysis of phenetic and phylogenetic relationships among brown seaweeds. Hence, this study aims to determine the phenetic and phylogenetic relationships in silico among brown seaweeds and define characters that play a role in the clustering of brown seaweeds from Gunungkidul, Yogyakarta, Indonesia. Exploration was done using purposive sampling method. Numerical phenetic analysis was generated using MVSP 3.1. Further clustering method was implemented to identify phenetic relationships The PCA method was used to reveal morphological, anatomical, and biochemical characters that determine the clustering pattern. The phylogenetic relationships in silico analysis were conducted using rbcL genes from NCBI GenBank database. All multiple sequences were aligned using ClustalW and phylogram reconstruction was performed using Neighbor-Joining (NJ) method in MEGA 7.0. Our study showed that both the analyses, i.e., numerical phenetic and phylogenetic relationships in silico resulted in two main clusters although the species composition of the clusters was slightly different. The PCA analysis indicated that the morphological characters i.e. blade shape, phylloid shape, thalli height, length of the main axis, and the water bladder shape play an important role in the clustering of brown seaweeds species.
format	article
author	Ajeng Meidya Ningrum Abdul Razaq Chasani
author_facet	Ajeng Meidya Ningrum Abdul Razaq Chasani
author_sort	Ajeng Meidya Ningrum
title	Numerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia
title_short	Numerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia
title_full	Numerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia
title_fullStr	Numerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia
title_full_unstemmed	Numerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia
title_sort	numerical phenetic and phylogenetic relationships in silico among brown seaweeds (phaeophyceae) from gunungkidul, yogyakarta, indonesia
publisher	MBI & UNS Solo
publishDate	2021
url	https://doaj.org/article/4b2ba378d84647eb9100811592baa19b
work_keys_str_mv	AT ajengmeidyaningrum numericalpheneticandphylogeneticrelationshipsinsilicoamongbrownseaweedsphaeophyceaefromgunungkidulyogyakartaindonesia AT abdulrazaqchasani numericalpheneticandphylogeneticrelationshipsinsilicoamongbrownseaweedsphaeophyceaefromgunungkidulyogyakartaindonesia
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Numerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia

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