Sorghum bicolor Tx2783

The genome of Sorghum Tx2783, a sugarcane aphid (SCA)-resistant line, has been assembled and annotated by (Wang et al, 2021).

Sorghum bicolor RTx436

The Sorghum bicolor inbred line RTx436, used in the development of high-yielding hybrids, has been assembled and annotated by (Wang et al, 2021).

Sorghum bicolor RTx430

Sorghum bicolor RTx430, a grain sorghum inbred commonly used as pollinator in hybrid production, whose genome is known to be rich in repeats, was assembled and annotated by (Deschamps et al. 2018).

Sorghum bicolor Rio

Sorghum bicolor ‘RIO’, an archetypal sweet sorghum line characterized by their ability to produce a high concentration of soluble sugars in the stalk, which can be extracted for human consumption, was assembled and annotated by (Cooper et al, 2019).

Sorghum bicolor BTx623

Sorghum bicolor inbred variety ‘BTx623’ has short stature and an early maturing genotype and is used primarily to produce grain sorghum hybrids. It is a line susceptible to sugarcane aphid and sensitive to low nitrogen, and therefore often used in functional comparative studies.

Chromosome-scale assembly of the sorghum Tx430 genome using Nanopore sequencing and DLS optical mapping

A new chromosome-scale assembly of the sorghum genome was generated by combining Nanopore sequencing with DLS optical mapping. In this paper, published in this week’s Nature Communications issue, Oxford Nanopore sequences generated on a MinION sequencer and combined them with

A New Reference Genome for Sweet Sorghum

Sweet sorghum was originally cultivated in the U.S. for the production of food-grade syrup or alcohol, and it still has commercial value as a source of these commodities, as well as an important bioenergy crop.  Understanding the genetic mechanisms underlying

The Sorghum QTL Atlas: A powerful tool for trait dissection, comparative genomics and crop improvement

The Sorghum QTL Atlas is a research platform comprising data from over 150 QTL and GWAS studies for 223 unique traits classified into seven broad categories: leaf, maturity, panicle, abiotic resistance, biotic resistance, stem composition, and stem morphology. Data can be queried by trait, genomic or syntenic location, study, or various study details.