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Data of RNA sequencing of pearl millet panicles treated with a high temperature.

ABSTRACT: Pearl millet (Pennisetum glaucum) is a cereal crop that can grow and set seeds even under drought, high temperatures and nutrient-poor conditions. Panicles of two pearl millet cultivars that differ in seed-setting rates were exposed to two different high-temperature treatments at three different developmental stages with three replicates, and RNA was prepared from these panicles. The resulting RNA samples were subjected to sequencing with the Illumina NovaSeq 6000 sequencer. The obtained data were 150-base-paired-end reads and were approximately 5 Gb/sample in total. These read data were deposited as those for a project in the NCBI (National Center for Biotechnology Information) BioProject database.

SUBMITTER: Lou X

PROVIDER: S-EPMC10837489 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature

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Data of RNA sequencing of pearl millet panicles treated with a high temperature.

Lou Xichao X Gupta Shashi Kumar SK Takano Tetsuo T Tsugama Daisuke D

Data in brief 20240118

Pearl millet (<i>Pennisetum glaucum</i>) is a cereal crop that can grow and set seeds even under drought, high temperatures and nutrient-poor conditions. Panicles of two pearl millet cultivars that differ in seed-setting rates were exposed to two different high-temperature treatments at three different developmental stages with three replicates, and RNA was prepared from these panicles. The resulting RNA samples were subjected to sequencing with the Illumina NovaSeq 6000 sequencer. The obtained ...[more]

PMID: 38312989

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Project description:Pearl millet is a non-model grain and fodder crop adapted to extremely hot and dry environments globally. In India, a great deal of public and private sectors' investment has focused on developing pearl millet single cross hybrids based on the cytoplasmic-genetic male sterility (CMS) system, while in Africa most pearl millet production relies on open pollinated varieties. Pearl millet lines were phenotyped for both the inbred parents and hybrids stage. Many breeding efforts focus on phenotypic selection of inbred parents to generate improved parental lines and hybrids. This study evaluated two genotyping techniques and four genomic selection schemes in pearl millet. Despite the fact that 6× more sequencing data were generated per sample for RAD-seq than for tGBS, tGBS yielded more than 2× as many informative SNPs (defined as those having MAF > 0.05) than RAD-seq. A genomic prediction scheme utilizing only data from hybrids generated prediction accuracies (median) ranging from 0.73-0.74 (1000-grain weight), 0.87-0.89 (days to flowering time), 0.48-0.51 (grain yield) and 0.72-0.73 (plant height). For traits with little to no heterosis, hybrid only and hybrid/inbred prediction schemes performed almost equivalently. For traits with significant mid-parent heterosis, the direct inclusion of phenotypic data from inbred lines significantly (P < 0.05) reduced prediction accuracy when all lines were analyzed together. However, when inbreds and hybrid trait values were both scored relative to the mean trait values for the respective populations, the inclusion of inbred phenotypic datasets moderately improved genomic predictions of the hybrid genomic estimated breeding values. Here we show that modern approaches to genotyping by sequencing can enable genomic selection in pearl millet. While historical pearl millet breeding records include a wealth of phenotypic data from inbred lines, we demonstrate that the naive incorporation of this data into a hybrid breeding program can reduce prediction accuracy, while controlling for the effects of heterosis per se allowed inbred genotype and trait data to improve the accuracy of genomic estimated breeding values for pearl millet hybrids.

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Data of RNA sequencing of pearl millet panicles treated with a high temperature.

Publications

Data of RNA sequencing of pearl millet panicles treated with a high temperature.

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