Genetic analysis of rice seedling traits related to machine transplanting under different seeding densities

Bibliographic Details
Title: Genetic analysis of rice seedling traits related to machine transplanting under different seeding densities
Authors: Dan Zhu, Yuping Zhang, Jing Xiang, Yaliang Wang, Defeng Zhu, Yikai Zhang, Huizhe Chen
Source: BMC Genetics, Vol 21, Iss 1, Pp 1-17 (2020)
Publisher Information: BMC, 2020.
Publication Year: 2020
Collection: LCC:Genetics
Subject Terms: Rice seedling trait, Machine transplanting, Seeding density, QTL mapping, Additive and epistasis effect, Genetics, QH426-470
More Details: Abstract Background Due to the diversity of rice varieties and cropping systems in China, the limitation of seeding density and seedling quality makes it hard to improve machine-transplanted efficiency. Previous studies have shown that indica and japonica varieties varied in machine transplanting efficiency and optimal seeding density. In this study, a RIL population derived from ‘9311’ and ‘Nipponbare’ were performed to explore the seedling traits variations and the genetic mechanism under three seeding densities. Results The parents and RIL population exhibited similar trends as the seeding density increased, including seedling height and first leaf sheath length increases, shoot dry weight and root dry weight decreases. Among the 37 QTLs for six traits detected under the three seeding densities, 12 QTLs were detected in both three seeding densities. Five QTL hotspots identified clustered within genomic regions on chromosomes 1, 2, 4, 6 and 11. Specific QTLs such as qRDW 1.1 and qFLSL 5.1 were detected under low and high seeding densities, respectively. Detailed analysis the QTL regions identified under specific seeding densities revealed several candidate genes involved in phytohormones signals and abiotic stress responses. Whole-genome additive effects showed that ‘9311’ contributed more loci enhancing trait performances than ‘Nipponbare’, indicating ‘9311’ was more sensitive to the seeding density than ‘Nipponbare’. The prevalence of negative epistasis effects indicated that the complementary two-locus homozygotes may not have marginal advantages over the means of the two parental genotypes. Conclusions Our results revealed the differences between indica rice and japonica rice seedling traits in response to seeding density. Several QTL hotspots involved in different traits and specific QTLs (such as qRDW 1.1 and qFLSL 5.1 ) in diverse seeding densities had been detected. Genome-wide additive and two-locus epistasis suggested a dynamic of the genetic control underlying different seeding densities. It was concluded that novel QTLs, additive and epistasis effects under specific seeding density would provide adequate information for rice seedling improvement during machine transplanting.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1471-2156
Relation: http://link.springer.com/article/10.1186/s12863-020-00952-1; https://doaj.org/toc/1471-2156
DOI: 10.1186/s12863-020-00952-1
Access URL: https://doaj.org/article/8de4d1f36caf4210a7757717b5eca10d
Accession Number: edsdoj.8de4d1f36caf4210a7757717b5eca10d
Database: Directory of Open Access Journals
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More Details
ISSN:14712156
DOI:10.1186/s12863-020-00952-1
Published in:BMC Genetics
Language:English