scholarly journals Diversity of Aerobic Anoxygenic Phototrophs and Rhodopsin-Containing Bacteria in the Surface Microlayer, Water Column and Epilithic Biofilms of Lake Baikal

2021 ◽  
Vol 9 (4) ◽  
pp. 842
Author(s):  
Agnia Dmitrievna Galachyants ◽  
Andrey Yurjevich Krasnopeev ◽  
Galina Vladimirovna Podlesnaya ◽  
Sergey Anatoljevich Potapov ◽  
Elena Viktorovna Sukhanova ◽  
...  
Keyword(s):  
16S Rrna ◽  
Water Column ◽  
Lake Baikal ◽  
Group Method ◽  
Surface Microlayer ◽  
Anoxygenic Phototrophs ◽  
Aerobic Anoxygenic Phototrophs ◽  
Pair Group ◽  
Epilithic Biofilms ◽  
16S Rrna Diversity

The diversity of aerobic anoxygenic phototrophs (AAPs) and rhodopsin-containing bacteria in the surface microlayer, water column, and epilithic biofilms of Lake Baikal was studied for the first time, employing pufM and rhodopsin genes, and compared to 16S rRNA diversity. We detected pufM-containing Alphaproteobacteria (orders Rhodobacterales, Rhizobiales, Rhodospirillales, and Sphingomonadales), Betaproteobacteria (order Burkholderiales), Gemmatimonadetes, and Planctomycetes. Rhodobacterales dominated all the studied biotopes. The diversity of rhodopsin-containing bacteria in neuston and plankton of Lake Baikal was comparable to other studied water bodies. Bacteroidetes along with Proteobacteria were the prevailing phyla, and Verrucomicrobia and Planctomycetes were also detected. The number of rhodopsin sequences unclassified to the phylum level was rather high: 29% in the water microbiomes and 22% in the epilithon. Diversity of rhodopsin-containing bacteria in epilithic biofilms was comparable with that in neuston and plankton at the phyla level. Unweighted pair group method with arithmetic mean (UPGMA) and non-metric multidimensional scaling (NMDS) analysis indicated a distinct discrepancy between epilithon and microbial communities of water (including neuston and plankton) in the 16S rRNA, pufM and rhodopsin genes.

scholarly journals Molecular characterization and pathogenicity of Erwinia spp. associated with pineapple [Ananas comosus (L.) Merr.] and papaya (Carica papaya L.)

2015 ◽  
Vol 55 (4) ◽  
pp. 396-404 ◽  
Author(s):  
Kogeethavani Ramachandran ◽  
Uyub Abdul Manaf ◽  
Latiffah Zakaria
Keyword(s):  
16S Rrna ◽  
Carica Papaya ◽  
Ananas Comosus ◽  
Group Method ◽  
Pathogenicity Test ◽  
16S Rrna Sequence ◽  
Pcr Fingerprinting ◽  
Main Cluster ◽  
Pair Group ◽  
Upgma Cluster Analysis

AbstractThe Erwinia species are well-known pathogens of economic importance in Malaysia causing serious damage to high-value fruit crops that include pineapple [Ananas comosus (L.) Merr.] and papaya (Carica papaya L.).The 16S rRNA sequence using eubacteria fD1 and rP2 primers, identified two bacteria species; Dickeya zeae from pineapple heart rot, and Erwinia mallotivora from papaya dieback. Phylogenetic analysis based on the neighbor-joining method indicated that all the bacterial isolates clustered in their own taxa and formed monophyletic clades. From the pathogenicity test, all isolates of D. zeae and E. mallotivora showed pathogenic reactions on their respective host plants. Genetic variability of these isolates was assessed using repetitive sequence-based PCR (rep-PCR) fingerprinting. The results indicated interspecies, and intraspecies variation in both species’ isolates. There were more polymorphic bands shown by rep-PCR fingerprints than enterobacterial repetitive intergenic consensus (ERIC) and BOX- PCRs, however both species’ isolates produced distinguishable banding patterns. Unweighted pair-group method with arithmetic averages (UPGMA) cluster analysis indicated that all Dickeya and Erwinia isolates from the same species were grouped in the same main cluster. Similarity among the isolates ranged from 77 to 99%. Sequencing of 16S rRNA using eubacteria fD1 and rP2 primers, and rep-PCR fingerprinting revealed diversity among Dickeya and Erwinia isolates. But this method appears to be reliable for discriminating isolates from pineapple heart rot and papaya dieback.

scholarly journals Genetic Diversity Among Some Walnut (Juglans regia L.) Genotypes by SSR Markers

2021 ◽  
Vol 13 (12) ◽  
pp. 6830
Author(s):  
Murat Guney ◽  
Salih Kafkas ◽  
Hakan Keles ◽  
Mozhgan Zarifikhosroshahi ◽  
Muhammet Ali Gundesli ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Plant Genetic Resources ◽  
Juglans Regia ◽  
Genetic Distances ◽  
Mean Value ◽  
Central Anatolia ◽  
Group Method ◽  
Arithmetic Average ◽  
Pair Group ◽  
Principal Coordinates

The food needs for increasing population, climatic changes, urbanization and industrialization, along with the destruction of forests, are the main challenges of modern life. Therefore, it is very important to evaluate plant genetic resources in order to cope with these problems. Therefore, in this study, a set of ninety-one walnut (Juglans regia L.) accessions from Central Anatolia region, composed of seventy-four accessions and eight commercial cultivars from Turkey, and nine international reference cultivars, was analyzed using 45 SSR (Simple Sequence Repeats) markers to reveal the genetic diversity. SSR analysis identified 390 alleles for 91 accessions. The number of alleles per locus ranged from 3 to 19 alleles with a mean value of 9 alleles per locus. Genetic dissimilarity coefficients ranged from 0.03 to 0.68. The highest number of alleles was obtained from CUJRA212 locus (Na = 19). The values of polymorphism information content (PIC) ranged from 0.42 (JRHR222528) to 0.86 (CUJRA212) with a mean PIC value of 0.68. Genetic distances were estimated according to the UPGMA (Unweighted Pair Group Method with Arithmetic Average), Principal Coordinates (PCoA), and the Structure-based clustering. The UPGMA and Structure clustering of the accessions depicted five major clusters supporting the PCoA results. The dendrogram revealed the similarities and dissimilarities among the accessions by identifying five major clusters. Based on this study, SSR analyses indicate that Yozgat province has an important genetic diversity pool and rich genetic variance of walnuts.

scholarly journals Genome-Wide Identification and Development of LTR Retrotransposon-Based Molecular Markers for the Melilotus Genus

Plants ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 890
Author(s):  
Zifeng Ouyang ◽  
Yimeng Wang ◽  
Tiantian Ma ◽  
Gisele Kanzana ◽  
Fan Wu ◽  
...  
Keyword(s):  
Group Method ◽  
Ltr Retrotransposon ◽  
Ltr Retrotransposons ◽  
Important Data ◽  
Breeding Programs ◽  
Upgma Dendrogram ◽  
Pair Group ◽  
Medicinal Value ◽  
Genome Wide ◽  
Melilotus Albus

Melilotus is an important genus of legumes with industrial and medicinal value, partly due to the production of coumarin. To explore the genetic diversity and population structure of Melilotus, 40 accessions were analyzed using long terminal repeat (LTR) retrotransposon-based markers. A total of 585,894,349 bp of LTR retrotransposon sequences, accounting for 55.28% of the Melilotus genome, were identified using bioinformatics tools. A total of 181,040 LTR retrotransposons were identified and classified as Gypsy, Copia, or another type. A total of 350 pairs of primers were designed for assessing polymorphisms in 15 Melilotus albus accessions. Overall, 47 polymorphic primer pairs were screened for their availability and transferability in 18 Melilotus species. All the primer pairs were transferable, and 292 alleles were detected at 47 LTR retrotransposon loci. The average polymorphism information content (PIC) value was 0.66, which indicated that these markers were highly informative. Based on unweighted pair group method with arithmetic mean (UPGMA) dendrogram cluster analysis, the 18 Melilotus species were classified into three clusters. This study provides important data for future breeding programs and for implementing genetic improvements in the Melilotus genus.

scholarly journals Genetic diversity in table grapes based on RAPD and microsatellite markers

2011 ◽  
Vol 46 (9) ◽  
pp. 1035-1044 ◽  
Author(s):  
Patrícia Coelho de Souza Leão ◽  
Sérgio Yoshimitsu Motoike
Keyword(s):  
Genetic Diversity ◽  
Microsatellite Markers ◽  
Genetic Relationships ◽  
Similarity Index ◽  
Genetic Distances ◽  
Table Grape ◽  
Group Method ◽  
Molecular Characteristics ◽  
Table Grapes ◽  
Pair Group

The objective of this work was to analyze the genetic diversity of 47 table grape accessions, from the grapevine germplasm bank of Embrapa Semiárido, using 20 RAPD and seven microsatellite markers. Genetic distances between pairs of accessions were obtained based on Jaccard's similarity index for RAPD data and on the arithmetic complement of the weighted index for microsatellite data. The groups were formed according to the Tocher's cluster analysis and to the unweighted pair‑group method with arithmetic mean (UPGMA). The microsatellite markers were more efficient than the RAPD ones in the identification of genetic relationships. Information on the genetic distance, based on molecular characteristics and coupled with the cultivar agronomic performance, allowed for the recommendation of parents for crossings, in order to obtain superior hybrids in segregating populations for the table grape breeding program of Embrapa Semiárido.

scholarly journals Molecular Diversity and Genetic Relatedness of Candida albicans Isolates from Birds in Hungary

2021 ◽  
Vol 186 (2) ◽  
pp. 237-244
Author(s):  
M. Domán ◽  
L. Makrai ◽  
Gy. Lengyel ◽  
R. Kovács ◽  
L. Majoros ◽  
...  
Keyword(s):  
Candida Albicans ◽  
Molecular Diversity ◽  
Genetic Relatedness ◽  
Group Method ◽  
Pair Group ◽  
Degree Of Separation ◽  
Avian Origin ◽  
Species Specific ◽  
Sequence Types ◽  
Unweighted Pair Group Method

AbstractThe molecular epidemiology of Candida albicans infections in animals has been rarely studied. In this study, multilocus sequence typing was used to characterise the genetic diversity and population structure of 24 avian origin C. albicans isolates collected from different birds with candidiasis and compared to human isolates. Fourteen diploid sequence types (DSTs) including six new DSTs were determined. Cluster analysis revealed that isolates grouped into 8 clades. Bird isolates mainly belonged to minor clades and Clade 15 with DST 172 was the most common (11 isolates; 45.8%). The remaining isolates were clustered into Clade 7 (5 isolates; 20.8%), Clade 10 (4 isolates; 16.6%), Clade 8 (2 isolates; 8.3%), Clade 4 (1 isolate; 4.2%) and Clade 16 (1 isolate; 4.2%). Unweighted pair group method with arithmetic averages (UPGMA) and eBURST analyses showed that the genetic construction of avian origin C. albicans population is fairly diverse. Although species-specific lineages were not found, some degree of separation in the evolution of bird and human strains could be observed.

scholarly journals Null expectation of spatial correlograms under a stochastic process of genetic divergence with small sample sizes

2000 ◽  
Vol 23 (4) ◽  
pp. 739-743 ◽  
Author(s):  
Mariana Pires de Campos Telles ◽  
José Alexandre Felizola Diniz-Filho
Keyword(s):  
Stochastic Process ◽  
Genetic Divergence ◽  
Isolation By Distance ◽  
Genetic Distances ◽  
Small Sample ◽  
Group Method ◽  
Gene Frequencies ◽  
Exponential Relationship ◽  
Local Populations ◽  
Pair Group

An Ornstein-Uhlenbeck process was used to simulate the exponential relationship between genetic divergence and geographic distances, as predicted by stochastic processes of population differentiation, such as isolation-by-distance, stepping-stone or coalescence models. These simulations were based only on the spatial coordinates of the local populations that defined a spatial unweighted pair-group method using arithmetic averages (UPGMA) link among them. The simulated gene frequency surfaces were then analyzed using spatial autocorrelation procedures and Nei's genetic distances, constructed with different numbers of variables (gene frequencies). Stochastic divergence in space produced strong spatial patterns at univariate and mutivariate levels. Using a relatively small number of local populations, the correlogram profiles varied considerably, with Manhattan distances greater than those defined by other simulation studies. This method allows one to establish a range of correlogram profiles under the same stochastic process of spatial divergence, thereby avoiding the use of unnecessary explanations of genetic divergence based on other microevolutionary processes.

Genetic analysis of a heritage variety collection

2018 ◽  
Vol 17 (03) ◽  
pp. 232-244 ◽  
Author(s):  
J. M. Preston ◽  
B. V. Ford-Lloyd ◽  
L. M. J. Smith ◽  
R. Sherman ◽  
N. Munro ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Group Method ◽  
Niche Markets ◽  
Principal Coordinates Analysis ◽  
Pair Group ◽  
Landrace Diversity ◽  
Principal Coordinates ◽  
Length Polymorphisms ◽  
Seed Saving ◽  
History Of

AbstractLandraces (including heritage varieties) are an important agrobiodiversity resource offering considerable value as a buffer against crop failures, as a crop for niche markets, and as a source of diversity for crop genetic improvement activities underpinning future food security. Home gardens are reservoirs of landrace diversity, but some of the accessions held in them are vulnerable or threatened with extinction. Those associated with seed saving networks have added security, for example, ca. 800 varieties are stored in the Heritage Seed Library (HSL) of Garden Organic, UK. In this study, Amplified Fragment Length Polymorphisms-based genetic analysis of accessions held in the HSL was used to (a) demonstrate the range of diversity in the collection, (b) characterize accessions to aid collection management and (c) promote broader use of the collection. In total, 171 accessions were included from six crops: Vicia faba L., Pisum sativum L., Daucus carota L., Cucumis sativus L., Lactuca sativa L. and Brassica oleracea L. var. acephala (DC.) Metzq. Average expected heterozygosity ranged from 0.18 to 0.28 in D. carota; 0.02–0.18 in P. sativum; 0.05–0.18 in L. sativa; 0.15–0.26 in B. oleracea var. acephala; 0.15–0.37 in C. sativus and 0.07–0.36 in V. faba. Genetic diversity and Fst values generally reflected the breeding system and cultivation history of the different crops. Comparisons of the diversity found in heritage varieties with that found in commercial varieties did not show a consistent pattern. Principal coordinates analysis and Unweighted Pair Group Method with Arithmetic Mean cluster analysis were used to identify four potential duplicate accession pairs.

scholarly journals Optimal use of SSR markers for varietal identification of upland cotton

2015 ◽  
Vol 50 (7) ◽  
pp. 571-581 ◽  
Author(s):  
Guilherme da Silva Pereira ◽  
Ana Luíza Ramos Cazé ◽  
Michelle Garcia da Silva ◽  
Vanessa Cavalcante Almeida ◽  
Fernanda Oliveira da Cunha Magalhães ◽  
...  
Keyword(s):  
Genetic Distance ◽  
Ssr Markers ◽  
Polymorphic Information Content ◽  
Group Method ◽  
Discrimination Power ◽  
Arithmetic Average ◽  
Pair Group ◽  
Varietal Identification ◽  
The World ◽  
The Mean

Abstract: The objective of this work was to identify polymorphic simple sequence repeat (SSR) markers for varietal identification of cotton and evaluation of the genetic distance among the varieties. Initially, 92 SSR markers were genotyped in 20 Brazilian cotton cultivars. Of this total, 38 loci were polymorphic, two of which were amplified by one primer pair; the mean number of alleles per locus was 2.2. The values of polymorphic information content (PIC) and discrimination power (DP) were, on average, 0.374 and 0.433, respectively. The mean genetic distance was 0.397 (minimum of 0.092 and maximum of 0.641). A panel of 96 varieties originating from different regions of the world was assessed by 21 polymorphic loci derived from 17 selected primer pairs. Among these varieties, the mean genetic distance was 0.387 (minimum of 0 and maximum of 0.786). The dendrograms generated by the unweighted pair group method with arithmetic average (UPGMA) did not reflect the regions of Brazil (20 genotypes) or around the world (96 genotypes), where the varieties or lines were selected. Bootstrap resampling shows that genotype identification is viable with 19 loci. The polymorphic markers evaluated are useful to perform varietal identification in a large panel of cotton varieties and may be applied in studies of the species diversity.

scholarly journals Padrões de infestação de comunidades de plantas daninhas no agroecossistema de cana-crua

2008 ◽  
Vol 26 (3) ◽  
pp. 549-557 ◽  
Author(s):  
M.A. Kuva ◽  
A.S. Ferraudo ◽  
R.A. Pitelli ◽  
P.L.C.A. Alves ◽  
T.P. Salgado
Keyword(s):  
Group Method ◽  
Pair Group ◽  
Unweighted Pair Group Method

Objetivou-se neste trabalho a obtenção de padrões de infestação de plantas daninhas na cultura de cana-de-açúcar com histórico de colheita mecanizada sem queima prévia da palha. Foram realizadas amostragens em 28 talhões na região de Ribeirão Preto, SP; em cada talhão foram demarcadas unidades de avaliação e coleta, na proporção de duas por hectare, que consistiram de áreas (quatro linhas de 4 metros de comprimento) mantidas sem controle de plantas daninhas e onde foram realizadas as amostragens de plantas emergidas. As amostragens foram realizadas aos 120 dias após o corte, com quadrados vazados (0,5 x 0,5 m) lançados aleatoriamente duas vezes em cada uma das unidades de avaliação e coleta. Com os dados obtidos, calculou-se a importância relativa e o índice de agregação das espécies ou grupo de espécies. Esses índices foram usados no processamento da análise de agrupamento hierárquica, utilizando como medida de semelhança a distância euclidiana e como estratégia de agrupamento o método UPGMA (Unweighted Pair-Group Method using arithmetic Averages). Foi possível distinguir quatro grupos em função da importância relativa e cinco grupos de talhões em função do índice de agregação; dentro de alguns grupos houve formação de subgrupos.

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