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种子总蛋白谱在近缘松树鉴别中的应用:来自复合体的证据。

Seed Total Protein Profiling in Discrimination of Closely Related Pines: Evidence from the Complex.

作者信息

Celiński Konrad, Sokołowska Joanna, Zemleduch-Barylska Agata, Kuna Roman, Kijak Hanna, Staszak Aleksandra Maria, Wojnicka-Półtorak Aleksandra, Chudzińska Ewa

机构信息

Department of Genetics, Institute of Experimental Biology, Faculty of Biology, School of Natural Sciences, Adam Mickiewicz University, Uniwersytetu Poznańskiego 6, 61-614 Poznań, Poland.

Department of Biochemistry and Food Analysis, Faculty of Food and Nutrition Sciences, University of Life Sciences, Mazowiecka 48, 60-623 Poznań, Poland.

出版信息

Plants (Basel). 2020 Jul 9;9(7):872. doi: 10.3390/plants9070872.

DOI:10.3390/plants9070872
PMID:32660038
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7412326/
Abstract

The complex includes several dozen closely related European mountain pines. The discrimination of specific taxa within this complex is still extremely challenging, although numerous methodologies have been used to solve this problem, including morphological and anatomical analyses, cytological studies, allozyme variability, and DNA barcoding, etc. In this study, we used the seed total protein (STP) patterns to search for taxonomically interesting differences among three closely-related pine taxa from the complex and five more distant species from the Pinaceae family. It was postulated that STP profiling can serve as the backup methodology for modern taxonomic research, in which more sophisticated analyses, i.e., based on the DNA barcoding approach, have been found to be useless. A quantitative analysis of the STP profiles revealed characteristic electrophoretic patterns for all the analyzed taxa from Pinaceae. STP profiling enabled the discrimination of closely-related pine taxa, even of those previously indistinguishable by chloroplast DNA barcodes. The results obtained in this study indicate that STP profiling can be very useful for solving complex taxonomic puzzles.

摘要

该复合体包括几十种亲缘关系密切的欧洲山松。尽管已经使用了多种方法来解决这个问题,包括形态学和解剖学分析、细胞学研究、等位酶变异性以及DNA条形码等,但在这个复合体中区分特定分类群仍然极具挑战性。在本研究中,我们利用种子总蛋白(STP)模式,在该复合体中三个亲缘关系密切的松树分类群以及松科的另外五个亲缘关系较远的物种之间寻找具有分类学意义的差异。据推测,STP分析可以作为现代分类学研究的备用方法,在现代分类学研究中,基于DNA条形码方法等更复杂的分析已被证明是无用的。对STP图谱的定量分析揭示了松科所有分析分类群的特征电泳模式。STP分析能够区分亲缘关系密切的松树分类群,即使是那些以前通过叶绿体DNA条形码无法区分的分类群。本研究获得的结果表明,STP分析对于解决复杂的分类学难题可能非常有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f5d/7412326/38bae8b9ec95/plants-09-00872-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f5d/7412326/dbe515220bdb/plants-09-00872-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f5d/7412326/8f4be16177bc/plants-09-00872-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f5d/7412326/0bbcad470131/plants-09-00872-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f5d/7412326/b1997334d500/plants-09-00872-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f5d/7412326/38bae8b9ec95/plants-09-00872-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f5d/7412326/dbe515220bdb/plants-09-00872-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f5d/7412326/8f4be16177bc/plants-09-00872-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f5d/7412326/0bbcad470131/plants-09-00872-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f5d/7412326/b1997334d500/plants-09-00872-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f5d/7412326/38bae8b9ec95/plants-09-00872-g005.jpg

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MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.
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