scholarly journals Methods for assessing gene content diversity of KIR with examples from a global set of populations

2008 ◽  
Vol 60 (12) ◽  
pp. 711-725 ◽  
Author(s):  
Richard M. Single ◽  
Maureen P. Martin ◽  
Diogo Meyer ◽  
Xiaojiang Gao ◽  
Mary Carrington
2014 ◽  
Vol 41 (6) ◽  
pp. 540-547 ◽  
Author(s):  
Swayam Prakash ◽  
Shahnawaz Alam ◽  
Rehan Mujeeb Faridi ◽  
Avinash Sonawane ◽  
Suraksha Agrawal

2009 ◽  
Vol 61 (7) ◽  
pp. 483-492 ◽  
Author(s):  
Elham Ashouri ◽  
Shirin Farjadian ◽  
Elaine F. Reed ◽  
Abbas Ghaderi ◽  
Raja Rajalingam

2003 ◽  
Vol 64 (10) ◽  
pp. S167 ◽  
Author(s):  
Lei Zhang ◽  
Katharine C. Hsu ◽  
Xiao-Rong Liu ◽  
Bo Dupont ◽  
Lian Fan

2018 ◽  
Vol 45 (5) ◽  
pp. 713-719 ◽  
Author(s):  
Elham Jamali ◽  
Shaghik Barani ◽  
Fahimeh Yousefinejad ◽  
Ali Ariafar ◽  
Ghoalm Reza Talei ◽  
...  

Algorithms ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 160
Author(s):  
Qiaoji Xu ◽  
Lingling Jin ◽  
James H. Leebens-Mack ◽  
David Sankoff

The RACCROCHE pipeline reconstructs ancestral gene orders and chromosomal contents of the ancestral genomes at all internal vertices of a phylogenetic tree. The strategy is to accumulate a very large number of generalized adjacencies, phylogenetically justified for each ancestor, to produce long ancestral contigs through maximum weight matching. It constructs chromosomes by counting the frequencies of ancestral contig co-occurrences on the extant genomes, clustering these for each ancestor and ordering them. The main objective of this paper is to closely simulate the evolutionary process giving rise to the gene content and order of a set of extant genomes (six distantly related monocots), and to assess to what extent an updated version of RACCROCHE can recover the artificial ancestral genome at the root of the phylogenetic tree relating to the simulated genomes.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jiawei Zhou ◽  
Shuo Zhang ◽  
Jie Wang ◽  
Hongmei Shen ◽  
Bin Ai ◽  
...  

AbstractThe chloroplast is one of two organelles containing a separate genome that codes for essential and distinct cellular functions such as photosynthesis. Given the importance of chloroplasts in plant metabolism, the genomic architecture and gene content have been strongly conserved through long periods of time and as such are useful molecular tools for evolutionary inferences. At present, complete chloroplast genomes from over 4000 species have been deposited into publicly accessible databases. Despite the large number of complete chloroplast genomes, comprehensive analyses regarding genome architecture and gene content have not been conducted for many lineages with complete species sampling. In this study, we employed the genus Populus to assess how more comprehensively sampled chloroplast genome analyses can be used in understanding chloroplast evolution in a broadly studied lineage of angiosperms. We conducted comparative analyses across Populus in order to elucidate variation in key genome features such as genome size, gene number, gene content, repeat type and number, SSR (Simple Sequence Repeat) abundance, and boundary positioning between the four main units of the genome. We found that some genome annotations were variable across the genus owing in part from errors in assembly or data checking and from this provided corrected annotations. We also employed complete chloroplast genomes for phylogenetic analyses including the dating of divergence times throughout the genus. Lastly, we utilized re-sequencing data to describe the variations of pan-chloroplast genomes at the population level for P. euphratica. The analyses used in this paper provide a blueprint for the types of analyses that can be conducted with publicly available chloroplast genomes as well as methods for building upon existing datasets to improve evolutionary inference.


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