Publications by authors named "Steven Norberg"

Article Synopsis
  • The study utilized multi-environment trials to evaluate yield-related traits in 200 diverse alfalfa accessions, identifying key molecular markers linked to yield characteristics.
  • Through extensive data collection across three states from 2018 to 2020, several phenotypic traits, including maturity stage, dry matter content, plant height, biomass yield, and fall dormancy, were analyzed.
  • Genome-wide association studies revealed 84 significant markers, with insights into specific genes that can aid in breeding programs aimed at enhancing alfalfa yield and overall performance.
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Autotetraploid alfalfa is a major hay crop planted all over the world due to its adaptation in different environments and high quality for animal feed. However, the genetic basis of alfalfa quality is not fully understood. In this study, a diverse panel of 200 alfalfa accessions were planted in field trials using augmented experimental design at three locations in 2018 and 2019.

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Background: Alfalfa has been cultivated in many regions around the world as an important forage crop due to its nutritive value to livestock and ability to adapt to various environments. However, the genetic basis by which plasticity of quality-relevant traits influence alfalfa adaption to different water conditions remain largely unknown.

Results: In the present study, 198 accessions of alfalfa of the core collection for drought tolerance were evaluated for 26 forage quality traits in a field trial under an imposed deficit irrigation gradient.

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and sequences were determined for Dogon, Fulani, and Baka populations of western Africa, Mbuti of central Africa, and Datooga, Iraqw, and Hadza of eastern Africa. Study of 162 individuals identified 134 alleles (41 , 60 , and 33 ). Common to all populations are three alleles (, , and ) but no or Unexpectedly, no novel was identified in these previously unstudied and anthropologically distinctive populations.

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We present a highly scalable assay for whole-genome methylation profiling of single cells. We use our approach, single-cell combinatorial indexing for methylation analysis (sci-MET), to produce 3,282 single-cell bisulfite sequencing libraries and achieve read alignment rates of 68 ± 8%. We apply sci-MET to discriminate the cellular identity of a mixture of three human cell lines and to identify excitatory and inhibitory neuronal populations from mouse cortical tissue.

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Haplotype-resolved genome sequencing promises to unlock a wealth of information in population and medical genetics. However, for the vast majority of genomes sequenced to date, haplotypes have not been determined because of cumbersome haplotyping workflows that require fractions of the genome to be sequenced in a large number of compartments. Here we demonstrate barcode partitioning of long DNA molecules in a single compartment using "on-bead" barcoded tagmentation.

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The most polymorphic part of the human genome, the encodes over 160 proteins of diverse function. Half of them, including the and genes, are directly involved in immune responses. Consequently, the region strongly associates with numerous diseases and clinical therapies.

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The physiological functions of natural killer (NK) cells in human immunity and reproduction depend upon diverse interactions between killer cell immunoglobulin-like receptors (KIRs) and their HLA class I ligands: HLA-A, HLA-B, and HLA-C. The genomic regions containing the KIR and HLA class I genes are unlinked, structurally complex, and highly polymorphic. They are also strongly associated with a wide spectrum of diseases, including infections, autoimmune disorders, cancers, and pregnancy disorders, as well as the efficacy of transplantation and other immunotherapies.

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