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Dive into the research topics where James Nienhuis is active.

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Featured researches published by James Nienhuis.


Theoretical and Applied Genetics | 1986

Construction of genetic linkage maps in maize and tomato using restriction fragment length polymorphisms

T. Helentjaris; M. Slocum; S. Wright; A. Schaefer; James Nienhuis

SummaryGenetic linkage maps were constructed for both maize and tomato, utilizing restriction fragment length polymorphisms (RFLPs) as the source of genetic markers. In order to detect these RFLPs, unique DNA sequence clones were prepared from either maize or tomato tissue and hybridized to Southern blots containing restriction enzyme-digested genomic DNA from different homozygous lines. A subsequent comparison of the RFLP inheritance patterns in F2 populations from tomato and maize permitted arrangement of the loci detected by these clones into genetic linkage groups for both species.


Theoretical and Applied Genetics | 1998

Towards an integrated linkage map of common bean. 4. Development of a core linkage map and alignment of RFLP maps

R. Freyre; Paul W. Skroch; Valérie Geffroy; A.-F. Adam-Blondon; A. Shirmohamadali; William C. Johnson; V. Llaca; R. O. Nodari; P. A. Pereira; Siu Mui Tsai; Joseph M. Tohme; M. Dron; James Nienhuis; C. E. Vallejos; Paul Gepts

Abstract Three RFLP maps, as well as several RAPD maps have been developed in common bean (Phaseolus vulgaris L.). In order to align these maps, a core linkage map was established in the recombinant inbred population BAT93×Jalo EEP558 (BJ). This map has a total length of 1226 cM and comprises 563 markers, including some 120 RFLP and 430 RAPD markers, in addition to a few isozyme and phenotypic marker loci. Among the RFLPs mapped were markers from the University of California, Davis (established in the F2 of the BJ cross), University of Paris-Orsay, and University of Florida maps. These shared markers allowed us to establish a correspondence between the linkage groups of these three RFLP linkage maps. In total, the general map location (i.e., the linkage group membership and approximate location within linkage groups) has been determined for some 1070 markers. Approaches to align this core map with other current or future maps are discussed.


Science | 1989

Restriction Fragment Length Polymorphisms Associated with Water Use Efficiency in Tomato

Bjorn Martin; James Nienhuis; Gretchen King; Alison Schaefer

Improvement of crop water use efficiency (WUE) has not been successful because evaluation for this component of drought resistance is unreliable in field-grown plants. The composition of stable isotopes of plant carbon (δ13C) was earlier shown to be an excellent indicator of WUE in tomato and other species. It is now reported that δ13C can be satisfactorily predicted from three restriction fragment length polymorphisms (RFLPs), which are genetic markers for discrete DNA sequences within the genome. An additive type of gene action was observed for all three RFLP markers, and for one of them there also was a significant nonadditive component. Combining the δ13C and RFLP technologies may aid in identifying genes associated with WUE and in studying mechanisms contributing to WUE. These technologies will also be useful for crop improvement.


Theoretical and Applied Genetics | 1994

Comparison of RAPD and RFLP genetic markers in determining genetic similarity among Brassica oleracea L. genotypes.

J. B. dos Santos; James Nienhuis; Paul W. Skroch; Jan Tivang; M. K. Slocum

Genetic similarity among 45 Brassica Oleracea genotypes was compared using two molecular markers, random amplified polymorphic DNA (RAPD) and restriction fragment length polymorphisms (RFLPs). The genotypes included 37 broccolis (var. italica), five cauliflowers (var. botrytis) and three cabbages (var. capitata) which represented a wide range of commercially-available germplasm, and included open-pollinated cultivars, commercial hybrids, and inbred parents of hybrid cultivars. Fifty-six polymorphic RFLP bands and 181 polymorphic RAPD bands were generated using 15 random cDNA probes and 62 10-mer primers, respectively. The objectives were to compare RFLP and RAPD markers with regard to their (1) sampling variance, (2) rank correlations of genetic distance among sub-samples, and (3) inheritance. A bootstrap procedure was used to generate 200 random samples of size n (n=2,3,5,... 55) independently from the RAPD and RFLP data sets. The coefficient of variance (CV) was estimated for each sample. Pooled regressions of the coefficient of variance on bootstrap sample size indicated that the rate of decrease in CV with increasing sample size was the same for RFLPs and RAPDs. The rank correlation between the Nei-Li genetic similarity values for all pairs of genotypes (990) based on RFLP and RAPD data was 0.745. Differences were observed between the RFLP and RAPD dendrograms of the 45 genotypes. Overlap in the distributions of rank correlations between independent sub-samples from the RAPD data set, compared to correlations between RFLP and RAPD sub-samples, suggest that observed differences in estimation of genetic similarity between RAPDs and RFLPs is largely due to sampling error rather than due to DNA-based differences in how RAPDs and RFLPs reveal polymorphisms. A crossing algorithm was used to generate hypothetical banding patterns of hybrids based on the genotypes of the parents. The results of this study indicate that RAPDs provide a level of resolution equivalent to RFLPs for detemination of the genetic relationships among genotypes.


Theoretical and Applied Genetics | 1995

Impact of scoring error and reproducibility RAPD data on RAPD based estimates of genetic distance

Paul W. Skroch; James Nienhuis

RAPD band reproducibility and scoring error were evaluated for RAPDs generated by 50 RAPD primers among ten snap bean (Phaseolus vulgaris L.) genotypes. Genetic distances based on different sets of RAPD bands were compared to evaluate the impact of scoring error, reproducibility, and differences in relative amplification strength on the reproducibility of RAPD based genetic distance estimates. The measured RAPD data scoring error was 2%. Reproducibility, expressed as the percentage of RAPD bands scored that are also scored in replicate data, was 76%. The results indicate that the probability of a scored RAPD band being scored in replicate data is strongly dependent on the uniformity of amplification conditions between experiments, as well as the relative amplification strength of the RAPD band. Significant improvement in the reproducibility of scored bands and some reduction in scoring error was achieved by reducing differences in reaction conditions between replicates. Observed primer variability for the reproducibility of scored RAPDs may also facilitate the selection of primers, resulting in dramatic improvements in the reproducibility of RAPD data used in germplasm studies. Variance of genetic distances across replicates due to sampling error was found to be more than six times greater than that due to scoring error for a set of 192 RAPD bands. Genetic distance matrices computed from the RAPD bands scored in replicated data and RAPD bands that failed to be scored in replicated data were not significantly different. Differences in the ethidium bromide staining intensity of RAPD bands were not associated with significant differences in resulting genetic distance matrices. The assumption of sampling error as the only source of error was sufficient to account for the observed variation in genetic distance estimates across independent sets of RAPD bands.


Theoretical and Applied Genetics | 1999

Variation among and within Capsicum species revealed by RAPD markers

Julie Rodriguez; T. Berke; L. Engle; James Nienhuis

Abstract Germplasm characterization is an important link between the conservation and utilization of plant genetic resources. A total of 134 accessions from six Capsicumspecies maintained at the Asian Vegetable Research and Development Center were characterized using 110 randomly amplified polymorphic DNA (RAPD) markers. Ten pairs of potentially duplicated accessions were identified. Multidimensional scaling analysis of the genetic distances among accessions resulted in clustering corresponding to a previous species assignment except for six accessions. Diagnostic RAPDs were identified which discriminate among the Capsicumspecies. The diagnostic markers were employed for improved taxonomic identification of accessions since many morphological traits used in the identification of Capsicumare difficult to score. Three Capsicumaccessions, misclassified based on morphological traits, were reassigned species status based on diagnostic RAPDs. Three accessions, not previously classified, were assigned to a species based on diagnostic RAPDs. Definitive conclusions about the species assignment of three other accessions were not possible. The level of diversity between Capsicum annuumaccessions from the genebank and the breeding program were compared and no differences were observed either for RAPD variation or diversity. The utilization of genetic resources as a source of variance for useful traits in the breeding program may be the reason for the similarity of these two groups.


Theoretical and Applied Genetics | 1995

Qualitative and quantitative characterization of RAPD variation among snap bean (Phaseolus vulgaris) genotypes

Paul W. Skroch; James Nienhuis

Ten snap bean (Phaseolus vulgaris) genotypes were screened for polymorphism with 400 RAPD (random amplified polymorphic DNA) primers. Polymorphic RAPDs were scored and classified into three categories based on ethidium bromide staining intensity. An average of 5.19 RAPD bands were scored per primer for the 364 primers that gave scorable amplification products. An average of 2.15 polymorphic RAPDs were detected per primer. The results show that primer screening may reduce the number of RAPD reactions required for the analysis of genetic relationships among snap-bean genotypes by over 60%. Based on the analysis of the distribution of RAPD amplification, the same number of polymorphic RAPDs were amplified from different genotypes for all RAPD band intensity levels. A comparison of RAPD band amplification frequency among genotypes for the three categories of bands classified by amplification strength revealed a measurable difference in the frequencies of RAPDs classified as faint (weakly amplifying) compared to RAPD bands classified as bold (strongly amplifying) indicating a possible scoring error due to the underscoring of faint bands. Correlation analysis showed that RAPD bands amplified by the same primer are not more closely correlated then RAPD bands amplified by different primers but are more highly correlated then expected by chance. Pairwise comparisons of RAPD bands indicate that the distribution of RAPD amplification among genotypes will be a useful criterion for establishing RAPD band identity. For the average pairwise comparison of genotypes, 50% of primers tested and 15.8% of all scored RAPDs detected polymorphism. Based on RAPD data Neis average gene diversity at a locus was 0.158 based on all scorable RAPD bands and 0.388 if only polymorphic RAPD loci were considered. RAPD-derived 1 relationships among genotypes are reported for the ten genotypes included in this study. The data presented here demonstrate that many informative, polymorphic RAPDs can be found among snap bean cultivars. These RAPDs may be useful for the unique identification of bean varieties, the organization of bean germplasm, and applications of molecular markers to bean breeding.


Theoretical and Applied Genetics | 1996

Comparison of four molecular markers in measuring relationships among the wild potato relatives Solanum section Etuberosum (subgenus Potatoe)

David M. Spooner; Jan Tivang; James Nienhuis; J. T. Miller; David S. Douches; A. Contreras-M.

We evaluated chloroplast DNA (cpDNA), isozymes, single to low-copy nuclear DNA (RFLPs), and random amplified polymorphic DNAs (RAPDs) in terms of concordance for genetic distance of 15 accessions each of Solanum etuberosum and S. palustre, and 4 accessions of S. fernandezianum. These self-compatible, diploid (2n=24), and morphologically very similar taxa constitute all species in Solanum sect. Etuberosum, a group of non-tuber-bearing species closely related to Solanum sect. Petota (the potato and its wild relatives). Genetic distance and multidimentional scaling results show general concordance of isozymes, RFLPs and RAPDs between all three taxa; cpDNA shows S. etuberosum and S. palustre to be more similar to each other than to S. fernandezianum. Interspecific sampling variance shows a gradation of resolution from allozyme (low) to RAPD to RFLP (high); while intraspecific comparisons graded from RFLPs (low) to RAPDs (high; lack of sufficient allozyme variability within species precluded comparisons for allozymes). Experimental error was low in RFLPs and RAPDs.


Theoretical and Applied Genetics | 1994

Estimation of sampling variance of molecular marker data using the bootstrap procedure.

Jan Tivang; James Nienhuis; Oscar S. Smith

Knowledge of genetic relationships among genotypes is useful in a plant breeding program because it permits the organization of germplasm and provides for more efficient sampling. The genetic distance (GD) among genotypes can be estimated using random restriction fragment length polymorphisms (RFLPs) as molecular markers. Knowledge of the sampling variance associated with RFLP markers is needed to determine how many markers are required for a given level of precision in the estimate of GD. The sampling variance for GD among all pairs of 37 maize (Z. mays L.) inbred lines was estimated from 1202 RFLPs. The 1202 polymorphisms were generated from 251 enzyme-probe combinations (EPC). The sampling variance was used to determine how large a sample of RFLPs was required to provide a given level of precision. The coefficient of variation (CV) associated with GD has a nearly linear relationship between its expected standard deviation and mean. The magnitude of the decrease in the mean CV for GD with increasing numbers of bands was dependent upon the sampling unit; e.g., individual polymorphic bands vs EPC, and the degree of relatedness among the inbreds compared. The rate of reduction in mean CV with increasing sample size was the same regardless of the restriction enzyme used, BamHI, EcoRI or HindIII, when the bootstrap sampling units were individual polymorphic bands. In constrast, although the rate of reduction (slopes) was the same, the intercepts of the mean CVs were different when EPCs were used as the bootstrap sampling unit. This difference was due to the higher number of bands per EPC in BamHI (4.94) compared with EcoRI (4.83) and HindIII (4.63).


Genetic Resources and Crop Evolution | 2000

Development of an algorithm identifying maximally diverse core collections

Jane M. Marita; Julie Rodriguez; James Nienhuis

The development of a core collection, one which represents the genetic diversity of a crop with minimal redundancy and increases utility of the collection as a whole, is especially important as the funding for germplasm collections decreases. With limited resources, it is difficult to manage large germplasm collections and disperse genetically diverse germplasm to plant breeders. An algorithm was developed to assist in selection of core collections based on estimates of genetic distance. The criteria for selection of the maximum genetically diverse set were based on rankings of genetic distance between an accession with respect to all other accessions. Depending on the size core which a user wished, a zone around each selected accession was determined and no other accession within these limits was selected. The premise for the algorithm was that the genetic variability represented in the core must be representative of the distribution of genetic distances within the population of interest. In the present study, the algorithm was used with RAPD-marker-based estimates of genetic distance for 270 Theobroma cacao L. accessions and 134 Capsicum accessions that chose a set representing 18.5% of the population and representing the breadth of RAPD-based variation.

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Paul W. Skroch

University of Wisconsin-Madison

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Geunhwa Jung

University of Massachusetts Amherst

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Dermot P. Coyne

University of Nebraska–Lincoln

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J.M. Quintana

University of Wisconsin-Madison

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Jan Tivang

University of Wisconsin-Madison

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Jiwan P. Palta

University of Wisconsin-Madison

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Helen C. Harrison

University of Wisconsin-Madison

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E. Arnaud-Santana

University of Nebraska–Lincoln

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H.M. Ariyarathne

University of Nebraska–Lincoln

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Gavin R. Sills

University of Wisconsin-Madison

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