Literature DB >> 29754326

Acid phosphatase gene GmHAD1 linked to low phosphorus tolerance in soybean, through fine mapping.

Zhandong Cai1,2,3, Yanbo Cheng1,2,3, Peiqi Xian1,2,3, Qibin Ma1,2,3, Ke Wen1,2,3, Qiuju Xia4, Gengyun Zhang4, Hai Nian5,6,7.   

Abstract

KEY MESSAGE: Map-based cloning identified GmHAD1, a gene which encodes a HAD-like acid phosphatase, associated with soybean tolerance to low phosphorus stress. Phosphorus (P) deficiency in soils is a major limiting factor for crop growth worldwide. Plants may adapt to low phosphorus (LP) conditions via changes to root morphology, including the number, length, orientation, and branching of the principal root classes. To elucidate the genetic mechanisms for LP tolerance in soybean, quantitative trait loci (QTL) related to root morphology responses to LP were identified via hydroponic experiments. In total, we identified 14 major loci associated with these traits in a RIL population. The log-likelihood scores ranged from 2.81 to 7.43, explaining 4.23-13.98% of phenotypic variance. A major locus on chromosome 08, named qP8-2, was co-localized with an important P efficiency QTL (qPE8), containing phosphatase genes GmACP1 and GmACP2. Another major locus on chromosome 10 named qP10-2 explained 4.80-13.98% of the total phenotypic variance in root morphology. The qP10-2 contains GmHAD1, a gene which encodes an acid phosphatase. In the transgenic soybean hairy roots, GmHAD1 overexpression increased P efficiency by 8.4-16.5% relative to the control. Transgenic Arabidopsis plants had higher biomass than wild-type plants across both short- and long-term P reduction. These results suggest that GmHAD1, an acid phosphatase gene, improved the utilization of organic phosphate by soybean and Arabidopsis plants.

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Year:  2018        PMID: 29754326     DOI: 10.1007/s00122-018-3109-3

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  60 in total

1.  QTL analysis of root traits as related to phosphorus efficiency in soybean.

Authors:  Quan Liang; Xiaohui Cheng; Mantong Mei; Xiaolong Yan; Hong Liao
Journal:  Ann Bot       Date:  2010-05-14       Impact factor: 4.357

2.  Identification of QTL for increased fibrous roots in soybean.

Authors:  Hussein Abdel-Haleem; Geung-Joo Lee; Roger H Boerma
Journal:  Theor Appl Genet       Date:  2010-12-17       Impact factor: 5.699

3.  Marker-assisted selection to introgress rice QTLs controlling root traits into an Indian upland rice variety.

Authors:  K A Steele; A H Price; H E Shashidhar; J R Witcombe
Journal:  Theor Appl Genet       Date:  2005-10-06       Impact factor: 5.699

4.  Inheritance and QTL mapping of related root traits in soybean at the seedling stage.

Authors:  Huizhen Liang; Yongliang Yu; Hongqi Yang; Lanjie Xu; Wei Dong; Hua Du; Weiwen Cui; Haiyang Zhang
Journal:  Theor Appl Genet       Date:  2014-08-22       Impact factor: 5.699

5.  A Porphyromonas gingivalis haloacid dehalogenase family phosphatase interacts with human phosphoproteins and is important for invasion.

Authors:  Gena D Tribble; Song Mao; Chloe E James; Richard J Lamont
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-10       Impact factor: 11.205

6.  Major locus and other novel additive and epistatic loci involved in modulation of isoflavone concentration in soybean seeds.

Authors:  Juan J Gutierrez-Gonzalez; Tri D Vuong; Rui Zhong; Oliver Yu; Jeong-Dong Lee; Grover Shannon; Mark Ellersieck; Henry T Nguyen; David A Sleper
Journal:  Theor Appl Genet       Date:  2011-08-18       Impact factor: 5.699

Review 7.  Phosphorus: a limiting nutrient for humanity?

Authors:  James J Elser
Journal:  Curr Opin Biotechnol       Date:  2012-03-30       Impact factor: 9.740

8.  Intricate environment-modulated genetic networks control isoflavone accumulation in soybean seeds.

Authors:  Juan J Gutierrez-Gonzalez; Xiaolei Wu; Jason D Gillman; Jeong-Dong Lee; Rui Zhong; Oliver Yu; Grover Shannon; Mark Ellersieck; Henry T Nguyen; David A Sleper
Journal:  BMC Plant Biol       Date:  2010-06-11       Impact factor: 4.215

9.  Fine Mapping of a Resistance Gene RpsHN that Controls Phytophthora sojae Using Recombinant Inbred Lines and Secondary Populations.

Authors:  Jingping Niu; Na Guo; Jutao Sun; Lihong Li; Yongce Cao; Shuguang Li; Jianli Huang; Jinming Zhao; Tuanjie Zhao; Han Xing
Journal:  Front Plant Sci       Date:  2017-04-11       Impact factor: 5.753

10.  High-density genetic map construction and QTLs analysis of grain yield-related traits in sesame (Sesamum indicum L.) based on RAD-Seq techonology.

Authors:  Kun Wu; Hongyan Liu; Minmin Yang; Ye Tao; Huihui Ma; Wenxiong Wu; Yang Zuo; Yingzhong Zhao
Journal:  BMC Plant Biol       Date:  2014-10-10       Impact factor: 4.215

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  10 in total

1.  Identification of loci and candidate gene GmSPX-RING1 responsible for phosphorus efficiency in soybean via genome-wide association analysis.

Authors:  Wenkai Du; Lihua Ning; Yongshun Liu; Shixi Zhang; Yuming Yang; Qing Wang; Shengqian Chao; Hui Yang; Fang Huang; Hao Cheng; Deyue Yu
Journal:  BMC Genomics       Date:  2020-10-19       Impact factor: 3.969

Review 2.  Mechanisms Underlying Soybean Response to Phosphorus Deficiency through Integration of Omics Analysis.

Authors:  Xiaohui Mo; Guoxuan Liu; Zeyu Zhang; Xing Lu; Cuiyue Liang; Jiang Tian
Journal:  Int J Mol Sci       Date:  2022-04-21       Impact factor: 6.208

3.  The PHOSPHATE1 genes participate in salt and Pi signaling pathways and play adaptive roles during soybean evolution.

Authors:  Yan Wang; Huihui Gao; Lingli He; Weiwei Zhu; Lixin Yan; Qingshan Chen; Chaoying He
Journal:  BMC Plant Biol       Date:  2019-08-14       Impact factor: 4.215

Review 4.  Impacts of genomic research on soybean improvement in East Asia.

Authors:  Man-Wah Li; Zhili Wang; Bingjun Jiang; Akito Kaga; Fuk-Ling Wong; Guohong Zhang; Tianfu Han; Gyuhwa Chung; Henry Nguyen; Hon-Ming Lam
Journal:  Theor Appl Genet       Date:  2019-10-23       Impact factor: 5.699

5.  Genome-wide analysis of haloacid dehalogenase genes reveals their function in phosphate starvation responses in rice.

Authors:  Zezhen Du; Suren Deng; Zixuan Wu; Chuang Wang
Journal:  PLoS One       Date:  2021-01-22       Impact factor: 3.240

6.  Genome-wide analysis of long non-coding RNAs (lncRNAs) in two contrasting soybean genotypes subjected to phosphate starvation.

Authors:  Jinyu Zhang; Huanqing Xu; Yuming Yang; Xiangqian Zhang; Zhongwen Huang; Dan Zhang
Journal:  BMC Genomics       Date:  2021-06-09       Impact factor: 3.969

7.  Identification of Key Genes in 'Luang Pratahn', Thai Salt-Tolerant Rice, Based on Time-Course Data and Weighted Co-expression Networks.

Authors:  Pajaree Sonsungsan; Pheerawat Chantanakool; Apichat Suratanee; Teerapong Buaboocha; Luca Comai; Supachitra Chadchawan; Kitiporn Plaimas
Journal:  Front Plant Sci       Date:  2021-12-02       Impact factor: 5.753

8.  Identification of quantitative trait loci (QTLs) and candidate genes of seed Iron and zinc content in soybean [Glycine max (L.) Merr.].

Authors:  Huan Wang; Jia Jia; Zhandong Cai; Mingming Duan; Ze Jiang; Qiuju Xia; Qibin Ma; Tengxiang Lian; Hai Nian
Journal:  BMC Genomics       Date:  2022-02-19       Impact factor: 3.969

9.  Mapping and validation of a major QTL for primary root length of soybean seedlings grown in hydroponic conditions.

Authors:  Huatao Chen; Giriraj Kumawat; Yongliang Yan; Baojie Fan; Donghe Xu
Journal:  BMC Genomics       Date:  2021-02-23       Impact factor: 3.969

10.  Identification of an ATP-Binding Cassette Transporter Implicated in Aluminum Tolerance in Wild Soybean (Glycine soja).

Authors:  Ke Wen; Huanting Pan; Xingang Li; Rong Huang; Qibin Ma; Hai Nian
Journal:  Int J Mol Sci       Date:  2021-12-09       Impact factor: 5.923

  10 in total

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