Stratophenetic tracing of phylogeny using SIMCA pattern recognition technique: a case study of the late Neogene planktic foraminiferaGloboconellaclade

Paleobiology ◽  
1994 ◽  
Vol 20 (1) ◽  
pp. 52-65 ◽  
Author(s):  
Kuo-Yen Wei

The Plio-Pleistocene planktic foraminiferal sequence of theGloborotalia(Globoconella)puncticulata-inflataclade in Deep Sea Drilling Project Site 588, dated at 4.36 Ma to 0.05 Ma, records the branching history of theG. inflatalineage from the ancestralG. puncticulatalineage. The gradational nature of the divergence and the enormous morphological variability inherent in theG. inflatalineage have elicited different views on taxonomy and phylogeny of this clade. A pattern recognition technique, soft independent modeling of class analog (SIMCA), was used as an objective quantitative stratophenetic methodology to reconstruct the phylogenetic history.Typical specimens of two species,G. puncticulataandG. inflata,were identified from a stratigraphic level dated at 2.76 Ma. Principal component models were built to characterize the morphometric patterns of the two morphotypes using SIMCA. TheGloboconellaspecimens of the next lower and higher adjacent stratigraphic levels were evaluated against the models and classified into one of the two morphotypes. The newly classified specimens were then used to build new models for further tracing of lineages in lower and upper sections, respectively. Progression of such training and classification procedures through stratigraphic intervals resulted in a reconstruction of the evolutionary patterns of the two lineages. Cladogenesis gave rise to the descendant lineage,G. inflata,at about 3.5 Ma. The two co-existing species,G. inflataandG. puncticulata,differ only in size and show similarity in most characters at the beginning of their divergence. Other characters began to diverge later, at various rates. The gradients between planktic and benthic foraminiferal δ18O values show a continuous increase during the late Pliocene. The succession fromG. puncticulatatoG. inflataduring the same time correlates with the progressively increased vertical stratification in temperature of surface waters.Globorotalia puncticulatabecame extinct at 2.35 Ma when the temperature gradient further increased, corresponding to the onset of extensive glaciation in the Northern Hemisphere.


1992 ◽  
Vol 6 ◽  
pp. 307-307
Author(s):  
Kuo-Yen Wei

Stratophenetics has been widely adopted in paleontology to reconstruct phylogenetic trees. Despite the easy access to powerful computing facility amongst paleontologists, there is a shortage of integrated statistical procedures in such approach. This report is to (1) introduce a pattern recognition technique, Soft Independent Modeling of Class Analogy (SIMCA), for an objective stratophenetic approach, and (2) demonstrate its applicability by tracing two planktic foraminiferal lineages through a deep-sea sedimentary sequence.Stratophenetics proceeds in three steps: (1) recognizing phena (groups of morphologically similar specimens) from each stratigraphic sample, (2) ordering stratigraphic levels in each local section, and (3) linking phena in adjacent chronostratigraphic intervals on the basis of overall morphological similarity. The Plio-Pleistocene planktic foraminiferal sequence of the Globorotalia (Globoconella) puncticulata-inflata plexus obtained from the Deep Sea Drilling Project site 588 serves a good illustration case. This sequence, dated at 3.66 Ma to the Recent, is relatively complete and furnished with a good chronostratigraphy. It records the branching history of G, inflata form the G. puncticulata lineage. The gradation nature of the divergence and the enormous morphological variability in G. inflata have caused difficulty in achieving a consensus of taxonomy and phylogeny in this plexus.Typical specimens of the two species, G. puncticulata and G. inflata, were identified from a stratigraphic level dated at 2.76 Ma. Principal component models were built to characterize the morphometric patterns of the two morphotypes using SIMCA. The Globoconella specimens of the two adjacent stratigraphic intervals, one above and one below (dated 2.74 Ma and 2.83 Ma, respectively), were evaluated against the models and classified into one of the two morphotypes. The newly classified specimens were then used to build new models for further tracing specimens in the next adjacent stratigraphic levels. Progression such training and classification procedures through the stratigraphic intervals resulted in a reconstruction of the evolutionary patterns of the two lineages. The cladogenesis is inferred to occur at about 3.5 Ma and is characterized by a gigantism in the G. inflata lineage. The two lineages differ only in size and show similarity in all other characters in the beginning of the divergence, A disparity in allometric heterochrony further differentiated the two lineages after 2.8 Ma and the trend continued until G. puncticulata became extinct at 2.35 Ma.



2019 ◽  
Vol 10 (6) ◽  
pp. 1382-1394
Author(s):  
R. Vijayalakshmi ◽  
V. K. Soma Sekhar Srinivas ◽  
E. Manjoolatha ◽  
G. Rajeswari ◽  
M. Sundaramurthy




1990 ◽  
Vol 41 (3) ◽  
pp. 288-295 ◽  
Author(s):  
Barry K. Lavine ◽  
Robert K. Vander Meer ◽  
Laurence Morel ◽  
Robert W. Gunderson ◽  
Jian Hwa Han ◽  
...  


2013 ◽  
Vol 4 (2) ◽  
pp. 280-294
Author(s):  
Revathi P ◽  
Suresh Babu C ◽  
Purusotham S ◽  
Sundara Murthy M

Many Combinatorial programming problems are NP-hard (Non Linear Polynomial), and we consider one of them called P path minimum distance connectivity from head quarter to the cities. Let there be n cities and the distance matrix D(i, j, k) is given from ithcity to jthcity using kthfacility. There can be an individual factor which influences the distances/cost and that factor is represented as a facility k. We consider m<n cities are in cluster and to connect all the cities in subgroup (cluster) from others by using same facility k. The problem is to find minimum distance to connect all the cities from head quarter (say 1) threw p-paths subject to the above considerations. For this problem we developed a Pattern Recognition Technique based Lexi Search Algorithm, we programmed the proposed algorithm using C. we compared with the existed models and conclude that it suggested for solving the higher dimensional problems.



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