Dataset Information

Characteration and comparative analysis of the whole chloroplast genomes of five common millet (Panicum miliaceum).

ABSTRACT: Common millet (Panicum miliaceum) is the most valuable and ancient domesticated important crops in the world. We compared five common millet complete chloroplast genomes. A complete map of the variability across the genomes of the five common millet was produced that included single nucleotide variants, InDels, and structural variants, as well as differences in simple sequence repeats and repeat sequences. Molecular phylogeny strongly supported division of the five walnut species into single monophyly with a 100% bootstrap value. The availability of these genomes will provide genetic information for identifying species and hybrids, taxonomy, phylogeny, and evolution in common millet.

SUBMITTER: Cao X

PROVIDER: S-EPMC7954509 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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Publications

Characteration and comparative analysis of the whole chloroplast genomes of five common millet (<i>Panicum miliaceum</i>).

Cao Xiaoning X Liu Sichen S Mu Zhixin Z Qiao Zhijun Z

Mitochondrial DNA. Part B, Resources 20210311 3

Common millet (<i>Panicum miliaceum</i>) is the most valuable and ancient domesticated important crops in the world. We compared five common millet complete chloroplast genomes. A complete map of the variability across the genomes of the five common millet was produced that included single nucleotide variants, InDels, and structural variants, as well as differences in simple sequence repeats and repeat sequences. Molecular phylogeny strongly supported division of the five walnut species into sin ...[more]

PMID: 33763565

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Project description:Current agricultural production depends on very limited species grown as monocultures that are highly vulnerable to climate change, presenting a threat to the sustainability of agri-food systems. However, many hundreds of neglected crop species have the potential to cater to the challenges of climate change by means of resilience to adverse climate conditions. Proso millet (Panicum miliaceum L.), one of the underutilised minor millets grown as a rainfed subsistence crop, was selected in this study as an exemplary climate-resilient crop. Using a previously calibrated version of the Agricultural Production Systems Simulator (APSIM), the sensitivity of the crop to changes in temperature and precipitation was studied using the protocol of the Coordinated Climate Crop Modelling Project (C3MP). The future (2040-2069) production was simulated using bias-corrected climate data from 20 general circulation models of the Coupled Model Intercomparison Project (CMIP5) under RCP4.5 and 8.5 scenarios. According to the C3MP analysis, we found a 1°C increment of temperature decreased the yield by 5-10% at zero rainfall change. However, Proso millet yields increased by 5% within a restricted climate change space of up to 2°C of warming with increased rainfall. Simulated future climate yields were lower than the simulated yields under the baseline climate of the 1980-2009 period (mean 1707 kg ha-1) under both RCP4.5 (-7.3%) and RCP8.5 (-16.6%) though these changes were not significantly (p > 0.05) different from the baseline yields. Proso millet is currently cultivated in limited areas of Sri Lanka, but our yield mapping shows the potential for expansion of the crop to new areas under both current and future climates. The results of the study, indicating minor impacts from projected climate change, reveal that Proso millet is an excellent candidate for low-input farming systems under changing climate. More generally, through this study, a framework that can be used to assess the climate sensitivity of underutilized crops was also developed.

Dataset Information

Characteration and comparative analysis of the whole chloroplast genomes of five common millet (Panicum miliaceum).

Publications

Characteration and comparative analysis of the whole chloroplast genomes of five common millet (<i>Panicum miliaceum</i>).

Similar Datasets

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